CN113781454A

CN113781454A - Vehicle damage detection method, device, equipment and storage medium

Info

Publication number: CN113781454A
Application number: CN202111081288.6A
Authority: CN
Inventors: 杨逸曦
Original assignee: Ping An Technology Shenzhen Co Ltd
Current assignee: Ping An Technology Shenzhen Co Ltd
Priority date: 2021-09-15
Filing date: 2021-09-15
Publication date: 2021-12-10
Anticipated expiration: 2041-09-15
Also published as: CN113781454B

Abstract

The embodiment of the invention relates to the field of artificial intelligence, and discloses a vehicle damage detection method, a device, equipment and a storage medium. The method comprises the following steps: receiving an image of an object to be detected sent by a target user through terminal equipment, wherein the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected; determining the type of the object to be detected according to the image of the object to be detected, and acquiring the geographical area of the object to be detected; according to the type and the geographic area of the object to be detected and the image of the object to be detected, acquiring the relevant information of the target damage object matched with the image of the object to be detected, determining the matched damage level, maintenance scheme, maintenance pricing and insurance claim scheme, and feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme to the terminal equipment. According to the embodiment of the invention, the information such as the damage level of the damaged vehicle with similar damage condition or the damaged part with similar damage condition can be automatically fed back to the user according to the image of the vehicle to be detected or the image of the part to be detected.

Description

Vehicle damage detection method, device, equipment and storage medium

Technical Field

The embodiment of the invention relates to the technical field of artificial intelligence, in particular to a vehicle damage detection method, device, equipment and storage medium.

Background

With the development of society and the improvement of living standard, the role of automobiles in the current society becomes more and more important, and every family starts to own the own automobile. When the automobile holding capacity is increased, the frequency of automobile accidents is higher and higher.

In the related art, after an accident occurs to a vehicle, the damage level, the maintenance plan, the maintenance pricing and the insurance claim scheme of the vehicle or the parts are generally determined by the insurance destroyer and the maintenance personnel through experience.

The related art has disadvantages in that: for insurance loss assessment personnel and maintenance personnel, the difficulty is high, and certain experience is needed to accurately determine the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the vehicle or the parts; for car owners, not every car owner can direct his own car, and the car owners cannot judge whether the information such as the damage level, maintenance scheme, maintenance pricing, insurance claim settlement scheme and the like of the car or parts provided by insurance loss makers and maintenance personnel is accurate and reasonable, and the rights and interests of the car owners are damaged under the condition that the insurance loss makers and the maintenance personnel violate the profession and morality; for the insurance platform, it cannot be guaranteed that each insurance loss assessment worker can comply with professional morality, and it cannot be determined whether unreasonable private transactions between the insurance loss assessment worker and a cooperative maintenance plant exist to obtain difference rebates and the like, and the insurance platform cannot obtain real and accurate maintenance pricing.

Disclosure of Invention

The embodiment of the invention provides a vehicle damage detection method, a device, equipment and a storage medium, which can automatically determine damaged vehicles similar to the damage condition of the vehicle to be detected or damaged parts similar to the damage condition of the parts to be detected in the geographical area or the peripheral area where the vehicle to be detected is located according to the image of the vehicle to be detected or the image of the parts to be detected, and feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged parts similar to the damage condition of the parts to be detected to the user, and the user can perform subsequent maintenance and insurance claim settlement processing on the vehicle to be detected or the part to be detected according to the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme of the damaged vehicle or the damaged part with similar damage conditions.

In a first aspect, an embodiment of the present invention provides a vehicle damage detection method, including:

receiving an image of an object to be detected sent by a target user through terminal equipment, wherein the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected;

determining the type of an object to be detected according to the image of the object to be detected, and acquiring the geographical area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected;

acquiring target damaged object associated information matched with the to-be-detected object image from damaged object associated information stored in a preset damaged condition database according to the type and the geographical area of the to-be-detected object and the to-be-detected object image; the type of the damaged object in the target damaged object association information is the same as that of the object to be detected, the geographical area where the damaged object is located is the same as that of the object to be detected or the distance between the geographical area where the damaged object is located and that of the object to be detected is smaller than a preset distance threshold, and the similarity between the image of the damaged object and the image of the object to be detected is larger than a preset similarity threshold;

determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected;

and feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected to the terminal equipment.

In a second aspect, an embodiment of the present invention further provides a vehicle damage detection apparatus, including:

the image receiving module is used for receiving an image of an object to be detected, which is sent by a target user through terminal equipment, wherein the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected;

the first information determining module is used for determining the type of an object to be detected according to the image of the object to be detected and acquiring the geographical area where the object to be detected is located, wherein the object to be detected is a vehicle to be detected or a part to be detected;

the first information matching module is used for acquiring target damaged object associated information matched with the to-be-detected object image from damaged object associated information stored in a preset damaged condition database according to the type and the geographic area of the to-be-detected object and the to-be-detected object image; the type of the damaged object in the target damaged object association information is the same as that of the object to be detected, the geographical area where the damaged object is located is the same as that of the object to be detected or the distance between the geographical area where the damaged object is located and that of the object to be detected is smaller than a preset distance threshold, and the similarity between the image of the damaged object and the image of the object to be detected is larger than a preset similarity threshold;

the first detection result determining module is used for determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected;

and the first detection result feedback module is used for feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected to the terminal equipment.

In a third aspect, an embodiment of the present invention further provides a computer device, including:

one or more processors;

storage means for storing one or more computer programs;

the vehicle damage detection method according to an embodiment of the invention is implemented when the one or more computer programs are executed by the one or more processors such that the one or more processors execute the computer programs.

In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the vehicle damage detection method according to the embodiment of the present invention.

According to the technical scheme of the embodiment of the invention, the image of the object to be detected, which is sent by a target user through the terminal equipment, is received, and the image of the object to be detected is the image of the vehicle to be detected or the image of the part to be detected; determining the type of the object to be detected according to the image of the object to be detected, and acquiring the geographical area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected; acquiring target damaged object associated information matched with the to-be-detected object image from damaged object associated information stored in a preset damaged condition database according to the type and the geographic area of the to-be-detected object and the to-be-detected object image; then determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected; finally, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected are fed back to the terminal equipment, the damaged vehicle similar to the damage condition of the vehicle to be detected in the geographic area or the peripheral area of the vehicle to be detected can be automatically determined by matching the type, the geographic area and the image of the damaged vehicle in the database of the damage condition and the vehicle to be detected, the damaged part similar to the damage condition of the part to be detected in the geographic area or the peripheral area of the part to be detected can be determined by matching the type, the geographic area and the image of the damaged part in the database of the damage condition and the part to be detected, the damaged part similar to the damage condition of the part to be detected in the geographic area or the peripheral area of the part to be detected can be automatically determined, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected can be fed back to the user, so that the user can perform subsequent maintenance and insurance claim payment processing on the vehicle to be detected or the part to be detected according to the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme of the damaged vehicle or the damaged part similar to the condition.

For users such as insurance damage makers, maintenance personnel and the like, years of experience is not needed, images of the vehicle to be detected or the part to be detected can be sent to the server, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected fed back by the server can be obtained, and the subsequent maintenance and insurance claim processing of the vehicle to be detected or the part to be detected are carried out according to the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected.

For an owner user, only the image of the vehicle to be detected or the part to be detected is sent to the server, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected fed back by the server can be obtained, so that the owner user can judge whether the information such as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the vehicle or the part provided by an insurance loser and a maintainer is accurate and reasonable, and the benefit of the owner user is maintained without damage under the condition that the insurance loser and the maintainer violate are met.

For the insurance platform, the image of the vehicle to be detected or the part to be detected is real and can not be tampered, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme are also determined according to the real damage condition of the vehicle and the part, and the maintenance pricing is transparent, so that a series of related personnel can be restrained.

Drawings

Fig. 1 is a flowchart of a vehicle damage detection method according to an embodiment of the present invention.

Fig. 2 is a flowchart of a vehicle damage detection method according to a second embodiment of the present invention.

Fig. 3 is a schematic structural diagram of a vehicle damage detection apparatus according to a third embodiment of the present invention.

Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention.

It should be further noted that, for the convenience of description, only some but not all of the relevant aspects of the present invention are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.

Example one

Fig. 1 is a flowchart of a vehicle damage detection method according to an embodiment of the present invention. The embodiment of the invention can be applied to the situation of determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the vehicle or parts after the vehicle accident occurs, and the method can be executed by the vehicle damage detection device provided by the embodiment of the invention, and the device can be realized in a software and/or hardware mode and can be generally integrated in computer equipment. Such as a server.

As shown in fig. 1, the method of the embodiment of the present invention specifically includes:

step 101, receiving an image of an object to be detected sent by a target user through terminal equipment, wherein the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected.

Alternatively, the target user may be an insurance destroyer, a serviceman, or a vehicle owner. The target user shoots the image of the vehicle to be detected or the image of the part to be detected through the terminal equipment and sends the image of the vehicle to be detected or the image of the part to be detected to the server.

Optionally, the image of the vehicle to be detected includes an image obtained by shooting the vehicle to be detected from each preset position of the vehicle to be detected. The vehicle to be detected is a vehicle which needs to be subjected to damage detection after an accident occurs. The preset orientations include, but are not limited to: right front, left side, left back, right side, and right front.

Optionally, the image of the part to be detected includes a top view, a front view, a rear view, a left view and a right view of the part to be detected. The parts to be detected are vehicle parts which need to be damaged and detected after an accident occurs.

And 102, determining the type of the object to be detected according to the image of the object to be detected, and acquiring the geographical area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected.

Optionally, the object image to be detected is a vehicle image to be detected; the determining the type of the object to be detected according to the image of the object to be detected and acquiring the geographical area where the object to be detected is located includes: performing Optical Character Recognition (OCR) on the vehicle image to be detected, acquiring a vehicle identification number in the vehicle image to be detected, and determining the vehicle type of the vehicle to be detected according to the vehicle identification number; and acquiring the geographical area of the vehicle to be detected.

Optionally, the Vehicle Identification Number (VIN) is a set of seventeen letters or numbers, and is used for a unique set of numbers on the Vehicle, and can identify the Vehicle type, manufacturer, engine, chassis serial Number, other performance and other data of the Vehicle. The vehicle identification number is set on the preset position of the vehicle body. The vehicle identification number includes a vehicle type classification code, and the vehicle type of the vehicle can be determined according to the vehicle type classification code in the vehicle identification number of the vehicle.

Optionally, a vehicle identification number is set at a preset position of the vehicle body to be detected. The image of the vehicle to be detected comprises images obtained by shooting the vehicle to be detected from all preset directions of the vehicle to be detected. The preset orientations include, but are not limited to: right front, left side, left back, right side, and right front. The image obtained by shooting the vehicle to be detected from a certain preset direction of the vehicle to be detected in the image of the vehicle to be detected contains the vehicle identification number of the vehicle to be detected. Illustratively, the vehicle to be detected is provided with a vehicle identification number under the front windshield. The image obtained by shooting the vehicle to be detected from the front of the vehicle to be detected in the image of the vehicle to be detected contains the vehicle identification number.

Optionally, the optical character recognition is sequentially performed on images obtained by shooting the vehicle to be detected from each preset position of the vehicle to be detected, which are included in the image of the vehicle to be detected, until the vehicle identification number of the vehicle to be detected is obtained, and then the vehicle type of the vehicle to be detected is determined according to the vehicle type category code in the vehicle identification number of the vehicle to be detected.

Optionally, the obtaining the geographic area where the vehicle to be detected is located includes: the server sends a position acquisition instruction to the terminal equipment of the target user so that the terminal equipment of the target user sends the current position of the terminal equipment to the server; and the server determines the geographical area to which the current position belongs as the geographical area of the vehicle to be detected.

The position acquisition instruction is an instruction for acquiring the current position of the terminal device. The current position of the terminal device may be a longitude and latitude position of the terminal device at the current time. And the target user transmits the image of the vehicle to be detected through the terminal equipment. Therefore, the terminal device of the target user should be located in the same geographical area as the vehicle to be detected at the present moment. And the geographic area where the current position of the terminal equipment belongs is the same as the geographic area where the vehicle to be detected is located.

Optionally, the image of the object to be detected is an image of a part to be detected; the determining the type of the object to be detected according to the image of the object to be detected and acquiring the geographical area where the object to be detected is located includes: carrying out optical character recognition on the image of the part to be detected, acquiring a part identifier in the image of the part to be detected, and determining the type of the part to be detected according to the part identifier; and acquiring the geographical area of the part to be detected.

Optionally, a part identifier is disposed at a preset position on the surface of the part. The part identifier is used to indicate the part type of the part.

Optionally, a part identifier is arranged at a preset position on the surface of the part to be detected. The image of the part to be detected comprises a top view, a front view, a rear view, a left view and a right view of the part to be detected. One image of the top view, the front view, the rear view, the left view and the right view of the part to be detected can contain the part identification of the part to be detected. Illustratively, a part mark is arranged on the front surface of the part to be detected. The front view of the part to be detected comprises the part mark of the part to be detected.

Optionally, the optical character recognition is sequentially performed on the top view, the front view, the rear view, the left view and the right view of the part to be detected included in the image of the part to be detected until the part identifier of the part to be detected is obtained, and then the part type of the part to be detected is determined according to the part identifier of the part to be detected.

Optionally, the obtaining the geographical area where the part to be detected is located includes: the server sends a position acquisition instruction to the terminal equipment of the target user so that the terminal equipment of the target user sends the current position of the terminal equipment to the server; and the server determines the geographical area to which the current position belongs as the geographical area of the part to be detected.

The position acquisition instruction is an instruction for acquiring the current position of the terminal device. The current position of the terminal device may be a longitude and latitude position of the terminal device at the current time. And the target user transmits the image of the part to be detected through the terminal equipment. Therefore, the terminal device of the target user should be located in the same geographical area as the component to be detected at the current time. And the geographic area where the current position of the terminal equipment belongs is the same as the geographic area where the part to be detected is located.

Step 103, acquiring target damaged object associated information matched with the to-be-detected object image from damaged object associated information stored in a preset damaged condition database according to the type of the to-be-detected object, the geographic area where the to-be-detected object is located and the to-be-detected object image.

The type of the damaged object in the target damaged object association information is the same as that of the object to be detected, the geographical area where the damaged object is located is the same as that of the object to be detected or the distance between the geographical area where the damaged object is located and that of the object to be detected is smaller than a preset distance threshold, and the similarity between the image of the damaged object and the image of the object to be detected is larger than a preset similarity threshold;

optionally, the damage object association information stored in the preset damage condition database includes: damaged vehicle related information and damaged part related information; the damaged object in the damaged vehicle correlation information is a damaged vehicle, the type of the damaged object is the type of the damaged vehicle, and the geographical area where the damaged object is located is the geographical area where the damaged vehicle is located; and the damaged object in the damaged part associated information is a damaged part, the type of the damaged object is the type of the damaged part, and the geographical area of the damaged object is the geographical area of the damaged part.

Optionally, the preset damage condition database is a database for storing a large amount of damaged vehicle related information and damaged part related information. The damaged vehicle-related information is information related to a damaged condition of the damaged vehicle, a maintenance process, and an insurance claim settlement process. A damaged vehicle is a vehicle that has determined the damage level, repair solutions, repair pricing, and insurance claim settlement solutions, and successfully completed repair and insurance claim settlement processes after the vehicle has suffered an accident. The damaged component-related information is information related to a damage situation of the damaged component, a maintenance process, and an insurance claim settlement process. Damaged parts after an accident in a vehicle, the damage level, repair solution, repair pricing, and insurance claim settlement solution have been determined, and the vehicle parts for repair and insurance claim processing are successfully completed.

Optionally, the method further includes: acquiring a set amount of damaged vehicle associated information and damaged part associated information, and storing each damaged vehicle associated information and each damaged part associated information into a preset damage condition database; wherein each of the damaged vehicle-related information at least includes: images of damaged vehicles, three-dimensional models, vehicle types, geographic areas, damage levels, maintenance plans, maintenance pricing, and insurance claim schemes; each of the damaged part related information at least includes: images of damaged parts, three-dimensional models, part types, geographic areas, damage levels, maintenance plans, maintenance pricing, and insurance claim plans.

Optionally, the image of the damaged vehicle includes images obtained by shooting the damaged vehicle from each preset position of the damaged vehicle. The preset orientations include, but are not limited to: right front, left side, left back, right side, and right front.

Optionally, the image of the damaged part includes a top view, a front view, a rear view, a left view, and a right view of the damaged part.

Optionally, the vehicle type of the damaged vehicle is a car type of the damaged vehicle. The type of the damaged part is the type of the damaged part. The respective components of the vehicle may be classified into different types in advance according to the installation positions or functions of the components. And parts with different installation positions or functions correspond to different types.

Alternatively, the three-dimensional model of the damaged vehicle may be a three-dimensional model obtained by scanning the damaged vehicle with a three-dimensional graphic scanning tool (3D Scanner, etc.). The three-dimensional model of the damaged part may be a three-dimensional model obtained by scanning the damaged part with a three-dimensional graphic scanning tool (3D Scanner, etc.).

Alternatively, the geographic area in which the damaged vehicle is located may be the geographic area in which the damaged vehicle is located. The geographic area may be a city. For example, the city in which the vehicle is located is damaged. The geographical area in which the damaged part is located may be a geographical area in which a vehicle to which the damaged part belongs is located. For example, the city in which the vehicle to which the damaged part belongs is located.

Optionally, the damage level of the damaged vehicle may be a damage level determined after the damaged vehicle is detected by the manual detection platform, or a damage level determined after the damaged vehicle is detected according to a preset damage level. The damage level of the damaged part may be a damage level determined after the damaged part is detected by the manual detection platform, or a damage level determined after the damaged part is detected according to a preset damage level.

Optionally, the repair plan, the repair pricing and the insurance claim plan of the damaged vehicle or the damaged part are actual repair plan, actual repair pricing and actual insurance claim plan of the damaged vehicle or the damaged part. The insurance claim scheme may include: amount of claims.

Optionally, obtaining the damaged vehicle related information of the set number includes: sending data authority inquiry information to terminal equipment of owner users of all damaged vehicles, so that all terminal equipment can display the data authority inquiry information to all owner users through an inquiry information display page; the data authority inquiry information is inquiry information used for inquiring whether each vehicle owner user grants the collection authority of the damaged vehicle associated information of the damaged vehicle for the server or not; and when confirming that each vehicle owner user grants the collection right of the damaged vehicle associated information of the damaged vehicle for the server according to the interactive operation of each vehicle owner user and the inquiry information display page, collecting the damaged vehicle associated information of each damaged vehicle until the set number of damaged vehicle associated information is collected.

Optionally, the set number may be set according to a service requirement. Illustratively, the set number is 2000.

Optionally, the server sends the data permission query information to the terminal device of the owner user of each damaged vehicle. And when receiving the data authority inquiry information, each terminal device displays an inquiry information display page containing the data authority inquiry information, and displays the data authority inquiry information to each owner user through the inquiry information display page. The query information presentation page is a page for presenting query information to the user.

Optionally, a confirmation authorization control and a denial authorization control are set in the inquiry information display page. Each owner user can confirm that the collection authority of the damaged vehicle associated information of the damaged vehicle is granted to the server by clicking the confirmation authorization control. Each owner user can also confirm that the collection authority of the damaged vehicle associated information of the damaged vehicle is not granted to the server by clicking the authorization refusing control.

Optionally, when each vehicle owner user clicks the authorization confirmation control, each terminal device generates authorization confirmation prompt information and sends the authorization confirmation prompt information to the server. The authorization confirmation prompt message is a message for prompting the owner user of the server to confirm that the server is granted the collection authority of the damaged vehicle related information of the damaged vehicle. When the server receives the authorization confirmation prompt message, the server confirms that the owner user grants the collection authority for the damaged vehicle associated information of the damaged vehicle to the server, and collects the damaged vehicle associated information of the damaged vehicle through the terminal device.

Optionally, when each vehicle owner user clicks the authorization rejection control, each terminal device generates authorization rejection prompt information and sends the authorization rejection prompt information to the server. The authorization rejection prompt message is used for prompting the owner user of the server to confirm that the collection authority of the damaged vehicle related information of the damaged vehicle is not granted to the server. When the server receives the authorization rejection prompt message, the owner user is confirmed not to grant the collection authority of the damaged vehicle associated information of the damaged vehicle to the server, and follow-up data collection operation is not executed.

Optionally, collecting damaged vehicle related information of each damaged vehicle includes: the server controls the terminal equipment of the owner users of the damaged vehicles and provides a damaged vehicle associated information acquisition page for the owner users. The damaged vehicle related information acquisition page is a page for acquiring damaged vehicle related information of a damaged vehicle, and each vehicle owner user can input the damaged vehicle related information of the damaged vehicle on the damaged vehicle related information acquisition page. And each terminal device acquires the damaged vehicle associated information input by each owner user on the characteristic data acquisition page and sends the damaged vehicle associated information to the server.

Optionally, collecting damaged vehicle related information of each damaged vehicle includes: the server controls the terminal equipment of the owner user of each damaged vehicle, collects damaged vehicle related information of each damaged vehicle from vehicle history information stored in each terminal equipment, and sends the damaged vehicle related information to the server. The vehicle history information stored in the terminal device is information associated with the damaged vehicle stored in the terminal device.

Therefore, the embodiment of the invention can collect enough damage vehicle related information on the premise of fully respecting and protecting the personal privacy and personal information of the user.

Optionally, the obtaining of the related information of the damaged parts in the set number includes: sending data authority inquiry information to terminal equipment of vehicle owner users who damage the parts, so that the terminal equipment displays the data authority inquiry information to the vehicle owner users through an inquiry information display page; the data authority inquiry information is inquiry information used for inquiring whether each owner user grants the collection authority for the damaged part associated information of the damaged part for the server; and when confirming that each vehicle owner user grants collection right for the damaged part associated information of the damaged parts for the server according to the interactive operation of each vehicle owner user and the inquiry information display page, collecting the damaged part associated information of each damaged part until the set number of the damaged part associated information is collected.

Optionally, the server sends the data permission query information to the terminal device of the owner user who damages each component. And when receiving the data authority inquiry information, each terminal device displays an inquiry information display page containing the data authority inquiry information, and displays the data authority inquiry information to each owner user through the inquiry information display page. The query information presentation page is a page for presenting query information to the user.

Optionally, a confirmation authorization control and a denial authorization control are set in the inquiry information display page. Each owner user can confirm that the collection authority of the damaged part associated information of the damaged part is granted to the server by clicking the confirmation authorization control. Each owner user can also confirm that the collection authority of the damaged part associated information of the damaged part is not granted to the server by clicking the authorization refusing control.

Optionally, when each vehicle owner user clicks the authorization confirmation control, each terminal device generates authorization confirmation prompt information and sends the authorization confirmation prompt information to the server. The authorization confirmation prompt message is used for prompting the owner user of the server to confirm that the server grants the collection authority of the damaged part related information of the damaged part. When the server receives the authorization confirmation prompt message, the owner user is confirmed to grant the collection authority of the damaged part associated information of the damaged part for the server, and the damaged part associated information of the damaged part is collected through the terminal equipment.

Optionally, when each vehicle owner user clicks the authorization rejection control, each terminal device generates authorization rejection prompt information and sends the authorization rejection prompt information to the server. The authorization rejection prompt message is a message for prompting the owner user of the server to confirm that the collection authority for the damaged part associated information of the damaged part is not granted to the server. When the server receives the authorization rejection prompt message, the owner user is confirmed not to grant the collection authority of the damaged part associated information of the damaged part for the server, and follow-up data collection operation is not executed any more.

Optionally, the collecting the damaged part related information of each damaged part includes: the server controls the terminal equipment of the owner users of the damaged parts and provides the damaged part associated information acquisition page for the owner users. The damaged part associated information acquisition page is a page for acquiring damaged part associated information of the damaged part, and each vehicle owner user can input the damaged part associated information of the damaged part on the damaged part associated information acquisition page. And each terminal device acquires the related information of the damaged parts input by each owner user on the characteristic data acquisition page and sends the related information of the damaged parts to the server.

Optionally, the collecting the damaged part related information of each damaged part includes: the server controls the terminal equipment of the owner user of each damaged part, collects the damaged part related information of each damaged part from the part historical information stored in each terminal equipment, and sends the damaged part related information to the server. The component history information stored in the terminal device is information associated with a damaged component stored in the terminal device.

Therefore, the embodiment of the invention can collect enough damage part associated information on the premise of fully respecting and protecting the personal privacy and personal information of the user.

Optionally, storing each damaged vehicle related information in a preset damage condition database includes: grouping the damaged vehicle related information according to the geographical area to obtain a plurality of damaged vehicle information groups, wherein the geographical areas of the damaged vehicle related information in the damaged vehicle information groups are the same; for each damaged vehicle information group, grouping damaged vehicle related information in the damaged vehicle information group according to vehicle types to obtain a plurality of damaged vehicle information groups, wherein the geographical regions of the damaged vehicle related information in each damaged vehicle information group are the same as the vehicle types; and storing each damaged vehicle information group into a preset damage condition database.

Optionally, storing the related information of each damaged part in a preset damage condition database includes: grouping the damaged part associated information according to the geographical area to obtain a plurality of damaged part information groups, wherein the geographical areas of the damaged part associated information in the damaged part information groups are the same; for each damaged part information group, grouping damaged part associated information in the damaged part information group according to part types to obtain a plurality of damaged part information groups, wherein the geographical area of each damaged part associated information in each damaged part information group is the same as the part type; and storing each damaged part information group into a preset damage condition database.

Therefore, the embodiment of the invention can acquire the related information of the damaged vehicles and the related information of the damaged parts with set quantity, group and store the related information of the damaged vehicles according to the geographical area and the vehicle type, and group and store the related information of the damaged parts according to the geographical area and the part type, thereby establishing the damage condition database which comprises the related information of the damaged vehicles of different vehicle types in each geographical area and the related information of the damaged parts of different part types in each geographical area.

Optionally, the object image to be detected is a vehicle image to be detected; the acquiring, according to the type of the object to be detected, the geographic area where the object to be detected is located, and the image of the object to be detected, target damaged object associated information matched with the image of the object to be detected from damaged object associated information stored in a preset damaged condition database includes: acquiring a target damaged vehicle information group corresponding to the vehicle type of the vehicle to be detected and the geographic area in which the vehicle is located from a preset damaged condition database; the vehicle type in each damaged vehicle related information in the target damaged vehicle information group is the same as the vehicle type of the vehicle to be detected, and the geographical area where each damaged vehicle related information in the target damaged vehicle information group is located is the same as the geographical area where the vehicle to be detected is located or the distance between each damaged vehicle related information in the target damaged vehicle information group and the geographical area where the vehicle to be detected is located is smaller than a preset distance threshold; respectively calculating the similarity between the image of the vehicle to be detected and the image of the damaged vehicle in the related information of each damaged vehicle in the target damaged vehicle information group; and if a first target image with the similarity between the first target image and the to-be-detected vehicle image being greater than a preset similarity threshold exists, determining the damaged vehicle associated information to which the first target image belongs as the target damaged object associated information matched with the to-be-detected vehicle image.

Optionally, if there is no first target image whose similarity with the to-be-detected vehicle image is greater than a preset similarity threshold, the to-be-detected vehicle image is sent to a manual detection platform, so that the manual detection platform feeds back a damage level, a maintenance scheme, maintenance pricing and an insurance claim scheme that are matched with the to-be-detected vehicle image.

Optionally, the obtaining, in a preset damage condition database, a target damaged vehicle information group corresponding to the vehicle type and the geographic area where the vehicle type and the geographic area are located of the vehicle to be detected includes: in each damaged vehicle information group in a preset damage condition database, inquiring the damaged vehicle information group, wherein the vehicle type of each damaged vehicle related information in the group is the same as that of the vehicle to be detected, and the geographical area of each damaged vehicle related information in the group is the same as that of the vehicle to be detected; if the damaged vehicle information group with the same vehicle type as the vehicle to be detected in the damaged vehicle related information in the group and the same geographical area as the geographical area of the vehicle to be detected in the damaged vehicle related information in the group is inquired, determining the damaged vehicle information group as a target damaged vehicle information group corresponding to the vehicle type and the geographical area of the vehicle to be detected; if a damaged vehicle information group in which the vehicle type in each damaged vehicle related information in the group is the same as the vehicle type of the vehicle to be detected and the geographical area in which the damaged vehicle related information in the group is located is the same as the geographical area in which the vehicle to be detected is located is not inquired, inquiring a damaged vehicle information group in which the vehicle type in each damaged vehicle related information in the group is the same as the vehicle type of the vehicle to be detected and the distance between the geographical area in which the damaged vehicle related information in the group is located and the geographical area in which the vehicle to be detected is located is smaller than a preset distance threshold in each damaged vehicle information group in a preset damage condition database; and if the vehicle type in the damaged vehicle related information in the group is the same as the vehicle type of the vehicle to be detected and the distance between the geographical area of the damaged vehicle related information in the group and the geographical area of the vehicle to be detected is smaller than a damaged vehicle information group with a preset distance threshold, determining the damaged vehicle information group as a target damaged vehicle information group corresponding to the vehicle type and the geographical area of the vehicle to be detected.

Optionally, the distance between the geographic area where the damaged vehicle is located in the associated information of each damaged vehicle and the geographic area where the vehicle to be detected is located may be a distance between a center point coordinate of the geographic area where the damaged vehicle is located in the associated information of each damaged vehicle and a center point coordinate of the geographic area where the vehicle to be detected is located.

Optionally, a preset distance threshold is set according to a service requirement. The distance between the geographical area of the damaged vehicle associated information and the geographical area of the vehicle to be detected is smaller than a preset distance threshold, namely the geographical area of the damaged vehicle associated information is a peripheral area of the geographical area of the vehicle to be detected.

Optionally, if the vehicle type in the associated information of each damaged vehicle in the group is not queried to be the same as the vehicle type of the vehicle to be detected, and the damaged vehicle information group in which the distance between the geographical area in which the associated information of each damaged vehicle in the group is located and the geographical area in which the vehicle to be detected is located is smaller than a preset distance threshold is determined, it is determined that the target damaged vehicle information group corresponding to the vehicle type of the vehicle to be detected and the geographical area in which the vehicle is located does not exist in the preset damage condition database, and the image of the vehicle to be detected is sent to a manual detection platform, so that the manual detection platform feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the vehicle to be detected.

Optionally, the manual detection platform is a platform for manually determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the vehicle to be detected or the component to be detected. And the server sends the vehicle image to be detected to a manual detection platform. And the manual detection platform provides the vehicle image to be detected for detection personnel, acquires the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme which are determined by the detection personnel according to the vehicle image to be detected and are matched with the vehicle image to be detected, and then feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme which are matched with the vehicle image to be detected to the server.

Optionally, the to-be-detected vehicle image includes images obtained by shooting the to-be-detected vehicle from the front, the front left, the side left, the rear right, the side right and the front right. The damaged vehicle image in the damaged vehicle related information includes images of the damaged vehicle taken from the front, the front left, the side left, the rear right, the front right, and the front right. Respectively calculating the similarity between the image of the vehicle to be detected and the image of the damaged vehicle in the related information of each damaged vehicle in the target damaged vehicle information group, wherein the similarity comprises the following steps: for the image of the damaged vehicle in each damaged vehicle related information in the target damaged vehicle information group, performing the following operations: calculating the similarity between an image obtained by shooting a vehicle to be detected from the front and an image obtained by shooting a damaged vehicle from the front to obtain a first similarity; calculating the similarity between an image obtained by shooting a vehicle to be detected from the left front and an image obtained by shooting a damaged vehicle from the left front to obtain a second similarity; calculating the similarity between an image obtained by shooting a vehicle to be detected from the left side and an image obtained by shooting a damaged vehicle from the left side to obtain a third similarity; calculating the similarity between an image obtained by shooting the vehicle to be detected from the left rear and an image obtained by shooting the damaged vehicle from the left rear to obtain a fourth similarity; calculating the similarity between an image obtained by shooting the vehicle to be detected from the front and the rear and an image obtained by shooting the damaged vehicle from the front and the rear to obtain a fifth similarity; calculating the similarity between an image obtained by shooting the vehicle to be detected from the right rear side and an image obtained by shooting the damaged vehicle from the right rear side to obtain a sixth similarity; calculating the similarity between an image obtained by shooting the vehicle to be detected from the right side and an image obtained by shooting the damaged vehicle from the right side to obtain a seventh similarity; calculating the similarity between an image obtained by shooting the vehicle to be detected from the front right and an image obtained by shooting the damaged vehicle from the front right to obtain an eighth similarity; and determining the average value of the first similarity, the second similarity, the third similarity, the fourth similarity, the fifth similarity, the sixth similarity, the seventh similarity and the eighth similarity as the similarity between the image of the vehicle to be detected and the image of the damaged vehicle in the damaged vehicle related information.

Optionally, a preset similarity threshold is set according to the service requirement. And the first target image with the similarity larger than a preset similarity threshold value with the image of the vehicle to be detected is the image of the damaged vehicle with higher similarity with the image of the vehicle to be detected. Illustratively, the preset similarity threshold is 0.9. The damaged vehicle related information to which the first target image belongs is damaged vehicle related information of a damaged vehicle in a geographical region or a peripheral region where the vehicle to be detected is located, the damaged vehicle related information being similar to the vehicle damage condition of the vehicle to be detected.

Optionally, the image of the object to be detected is an image of a part to be detected; the acquiring, according to the type of the object to be detected, the geographic area where the object to be detected is located, and the image of the object to be detected, target damaged object associated information matched with the image of the object to be detected from damaged object associated information stored in a preset damaged condition database includes: acquiring a target damaged part information group corresponding to the part type of the part to be detected and the geographic area where the part to be detected is located in a preset damage condition database; the type of a part in each damaged part associated information in the target damaged part information group is the same as that of the part to be detected, and the geographical area in each damaged part associated information in the target damaged part information group is the same as that of the part to be detected or the distance between the geographical area and the geographical area in which the part to be detected is located is less than a preset distance threshold; respectively calculating the similarity between the image of the part to be detected and the image of the damaged part in the related information of each damaged part in the target damaged part information group; and if a second target image with the similarity between the second target image and the part image to be detected larger than a preset similarity threshold exists, determining the damaged part associated information to which the second target image belongs as the target damaged object associated information matched with the part image to be detected.

Optionally, if a second target image with the similarity between the image of the part to be detected and the image of the part to be detected being greater than a preset similarity threshold does not exist, the image of the part to be detected is sent to a manual detection platform, so that the manual detection platform feeds back a damage level, a maintenance scheme, maintenance pricing and an insurance claim scheme matched with the image of the part to be detected.

Optionally, the obtaining, in a preset damage condition database, a target damaged part information group corresponding to the part type of the part to be detected and the geographic area where the part is located includes: in each damaged part information group in a preset damage condition database, inquiring a damaged part information group, wherein the part type of each damaged part associated information in the group is the same as that of the part to be detected, and the geographical area of each damaged part associated information in the group is the same as that of the part to be detected; if the part type in the damaged part associated information in the group is the same as that of the part to be detected, and the damaged part information group with the geographical area of the damaged part associated information in the group being the same as that of the part to be detected is inquired, determining the damaged part information group as a target damaged part information group corresponding to the part type of the part to be detected and the geographical area of the part to be detected; if no damaged part information group with the same part type as the part to be detected in the damaged part associated information in the group and the same geographical area as the part to be detected in the damaged part associated information in the group is inquired, in each damaged part information group in the preset damage condition database, inquiring that the part type in the damaged part associated information in the group is the same as the part type of the part to be detected, and the distance between the geographical area in the damaged part associated information in the group and the geographical area of the part to be detected is smaller than a damaged part information threshold of a preset distance; and if the part type in the related information of each damaged part in the group is the same as the part type of the part to be detected, and the damaged part information group with the distance between the geographical area where the damaged part is located in the related information of each damaged part in the group and the geographical area where the part to be detected is located being smaller than a preset distance threshold is inquired, determining the damaged part information group as a target damaged part information group corresponding to the part type of the part to be detected and the geographical area where the damaged part is located.

Optionally, the distance between the geographical area in which the damaged part associated information is located and the geographical area in which the part to be detected is located may be a distance between a center point coordinate of the geographical area in which the damaged part associated information is located and a center point coordinate of the geographical area in which the part to be detected is located.

Optionally, a preset distance threshold is set according to a service requirement. The distance between the geographical area where the damaged part is located in the related information and the geographical area where the part to be detected is located is smaller than a preset distance threshold, that is, the geographical area where the damaged part is located in the related information is a peripheral area of the geographical area where the part to be detected is located.

Optionally, if the type of the part in the related information of each damaged part in the group is not found to be the same as the type of the part to be detected, and the damaged part information group in which the distance between the geographical area in which the damaged part is located in the related information of each damaged part in the group and the geographical area in which the part to be detected is located is smaller than a preset distance threshold, it is determined that the damaged part information group corresponding to the type of the part to be detected and the geographical area in which the part to be detected does not exist in the preset damage condition database, and the image of the part to be detected is sent to a manual detection platform, so that the manual detection platform feeds back the damage level, the maintenance scheme, the pricing maintenance scheme and the insurance claim scheme matched with the image of the part to be detected.

Optionally, the manual inspection platform is a platform for manually determining the component to be inspected or the damage level, the maintenance plan, the maintenance pricing and the insurance claim payment plan of the component to be inspected. And the server sends the image of the part to be detected to a manual detection platform. And the manual detection platform provides the image of the part to be detected for detection personnel, acquires the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme which are determined by the detection personnel according to the image of the part to be detected and are matched with the image of the part to be detected, and then feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme which are matched with the image of the part to be detected to a server.

Optionally, the image of the part to be detected includes a top view, a front view, a rear view, a left view and a right view of the part to be detected. The image of the damaged part in the damaged part related information includes a top view, a front view, a rear view, a left view, and a right view of the damaged part. Respectively calculating the similarity between the image of the part to be detected and the image of the damaged part in the related information of each damaged part in the target damaged part information group, wherein the similarity comprises the following steps: for each damaged part image in the damaged part associated information in the target damaged part information group, performing the following operations: calculating the similarity between the top view of the part to be detected and the top view of the damaged part to obtain a ninth similarity; calculating the similarity between the front view of the part to be detected and the front view of the damaged part to obtain a tenth similarity; calculating the similarity between the rear view of the part to be detected and the rear view of the damaged part to obtain an eleventh similarity; calculating the similarity between the left view of the part to be detected and the left view of the damaged part to obtain a twelfth similarity; calculating the similarity between the right view of the part to be detected and the right view of the damaged part to obtain a thirteenth similarity; and determining the average value of the ninth similarity, the tenth similarity, the eleventh similarity, the twelfth similarity and the thirteenth similarity as the similarity between the image of the part to be detected and the image of the damaged part in the damaged part related information.

Optionally, a preset similarity threshold is set according to the service requirement. And the second target image with the similarity between the second target image and the image of the part to be detected being larger than a preset similarity threshold is the image of the damaged part which is higher in similarity with the image of the part to be detected. Illustratively, the preset similarity threshold is 0.9. And the damaged part associated information to which the second target image belongs is damaged part associated information of the damaged part in the geographical region or the peripheral region where the part to be detected is located, wherein the damaged part associated information is similar to the part damage condition of the part to be detected.

And step 104, determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected.

Optionally, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle in the target damaged object associated information matched with the image of the vehicle to be detected are determined as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the vehicle to be detected. And the damaged vehicle in the target damaged object associated information matched with the image of the vehicle to be detected is a damaged vehicle in the geographical area or the peripheral area where the vehicle to be detected is located, wherein the damaged vehicle is similar to the vehicle damage condition of the vehicle to be detected. The damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the vehicle to be detected are the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the vehicle damage condition of the vehicle to be detected.

Optionally, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme of the damaged part in the target damaged object associated information matched with the part image to be detected are determined as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme matched with the part image to be detected. And the damaged parts in the target damaged object associated information matched with the images of the parts to be detected are damaged parts in the geographical region or the peripheral region where the parts to be detected are located, wherein the damaged parts are similar to the parts to be detected in the damaged condition. The damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the part to be detected are the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged part similar to the damage condition of the part to be detected.

And 105, feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected to the terminal equipment.

Optionally, the server sends the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the vehicle to be detected to the terminal device, so that the terminal device displays the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the vehicle to be detected to the target user.

Optionally, the server sends the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme matched with the part image to be detected to the terminal device, so that the terminal device displays the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme matched with the part image to be detected to the target user.

Optionally, after determining the part type of the part to be detected, the method further includes: collecting part suppliers and part quotations corresponding to the parts to be detected according to the part types and the geographic areas of the parts to be detected; the part supplier corresponding to the part to be detected is a supplier selling parts of the same type as the part of the part to be detected in the local processing area of the part to be detected, and the part offer corresponding to the part to be detected is the price of the parts of the same type as the part of the part to be detected sold in the local processing area of the part to be detected; and feeding back a part supplier and a part quotation corresponding to the part to be detected, and a damage level, a maintenance scheme, maintenance pricing and an insurance claim payment scheme matched with the image of the part to be detected to the terminal equipment of the target user. Therefore, the embodiment of the invention can provide richer reference information for the maintenance and insurance claim settlement process of the parts to be detected.

Optionally, the method further includes: and acquiring new damaged vehicle related information and damaged part related information, and storing the new damaged vehicle related information and the damaged part related information into a preset damage condition database. Therefore, the embodiment of the invention can continuously collect new damaged vehicle related information and damaged part related information and continuously perfect the data of the damaged condition database, so that the determined damaged level, maintenance scheme, maintenance pricing and insurance claim scheme of the damaged vehicle or the damaged part similar to the damaged condition of the vehicle to be detected or the part to be detected are more accurate.

The embodiment of the invention provides a vehicle damage detection method, which can automatically determine damaged vehicles similar to the damage condition of a vehicle to be detected in the geographic area or the peripheral area of the vehicle to be detected by matching the type, the geographic area and the image of the damaged vehicle in the database of the vehicle to be detected and the damage condition of the vehicle to be detected, can automatically determine damaged parts similar to the damage condition of the parts to be detected in the geographic area or the peripheral area of the parts to be detected by matching the type, the geographic area and the image of the parts to be detected in the database of the parts to be detected and the damage condition of the parts to be detected in the geographic area or the peripheral area of the parts to be detected, and can automatically determine the damaged parts similar to the damage condition of the parts to be detected or the damage level of the damaged vehicles similar to the damage condition of the vehicle to be detected or the damaged parts similar to the damage condition of the parts to be detected, And feeding back the maintenance scheme, the maintenance pricing and the insurance claim payment scheme to the user so that the user can perform subsequent maintenance and insurance claim payment processing on the vehicle to be detected or the part to be detected according to the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme of the damaged vehicle or the damaged part with similar conditions.

The embodiment of the invention can acquire and process the information related to the damaged vehicles, the damaged conditions of the damaged parts, the maintenance processing process and the insurance claim settlement processing process based on the artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.

The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like.

Example two

Fig. 2 is a flowchart of a vehicle damage detection method according to a second embodiment of the present invention. Embodiments of the invention may be combined with various alternatives in one or more of the embodiments described above. As shown in fig. 2, the method of the embodiment of the present invention specifically includes:

step 201, receiving a three-dimensional model of an object to be detected sent by a target user through a terminal device, wherein the three-dimensional model of the object to be detected is a three-dimensional model of a vehicle to be detected or a three-dimensional model of a part to be detected.

Optionally, the three-dimensional model of the vehicle to be detected is a three-dimensional model of the vehicle to be detected. The vehicle to be detected is a vehicle which needs to be subjected to damage detection after an accident occurs. The three-dimensional model of the part to be detected is a three-dimensional model of the part to be detected. The parts to be detected are vehicle parts which need to be damaged and detected after an accident occurs.

Optionally, the target user obtains the three-dimensional model of the vehicle to be detected or the three-dimensional model of the part to be detected through an application program with a scanning function in the terminal device, and sends the three-dimensional model of the vehicle to be detected or the three-dimensional model of the part to be detected to the server. And the server receives the three-dimensional model of the vehicle to be detected or the three-dimensional model of the part to be detected sent by the target user through the terminal equipment.

Optionally, the target user obtains the three-dimensional model of the vehicle to be detected or the three-dimensional model of the component to be detected through an external three-dimensional graphic scanning tool, for example, a three-dimensional Scanner 3D Scanner, and sends the three-dimensional model of the vehicle to be detected or the three-dimensional model of the component to be detected to the server. And the server receives the three-dimensional model of the vehicle to be detected or the three-dimensional model of the part to be detected sent by the target user through the terminal equipment.

Step 202, determining the type of the object to be detected according to the three-dimensional model of the object to be detected, and acquiring the geographical area where the object to be detected is located, wherein the object to be detected is a vehicle to be detected or a part to be detected.

Optionally, the three-dimensional model of the object to be detected is a three-dimensional model of a vehicle to be detected; the determining the type of the object to be detected according to the three-dimensional model of the object to be detected and acquiring the geographic area where the object to be detected is located includes: matching the three-dimensional model of the vehicle to be detected with vehicle three-dimensional models of different vehicle types in a preset vehicle three-dimensional model library, determining a target vehicle three-dimensional model matched with the three-dimensional model of the vehicle to be detected, and determining the vehicle type of the target vehicle three-dimensional model as the vehicle type of the vehicle to be detected; and acquiring the geographical area of the vehicle to be detected.

Optionally, the method further includes: generating three-dimensional models of vehicles of different vehicle types according to vehicle design drawings of different vehicle types by using a three-dimensional graphic scanning tool or three-dimensional graphic modeling software; and storing the vehicle three-dimensional models of different vehicle types into a preset vehicle three-dimensional model library.

Therefore, the embodiment of the invention can establish the model library containing the vehicle three-dimensional models of different vehicle types, so that the matching of the three-dimensional model of the vehicle to be detected and the vehicle three-dimensional models of different vehicle types in the preset vehicle three-dimensional model library is facilitated, and the vehicle type of the vehicle to be detected is determined.

Optionally, matching the three-dimensional model of the vehicle to be detected with three-dimensional models of vehicles of different vehicle types in a preset vehicle three-dimensional model library, and determining a target vehicle three-dimensional model matched with the three-dimensional model of the vehicle to be detected, includes: respectively calculating the similarity between the three-dimensional model of the vehicle to be detected and the three-dimensional models of vehicles of different types in a preset three-dimensional model library of the vehicle; and determining the target vehicle three-dimensional model with the similarity greater than a preset similarity threshold value with the to-be-detected vehicle three-dimensional model as the target vehicle three-dimensional model matched with the to-be-detected vehicle three-dimensional model.

Optionally, the three-dimensional model of the object to be detected is a three-dimensional model of a part to be detected; the determining the type of the object to be detected according to the three-dimensional model of the object to be detected and acquiring the geographic area where the object to be detected is located includes: matching the three-dimensional model of the part to be detected with part three-dimensional models of different part types in a preset part three-dimensional model library, determining a target part three-dimensional model matched with the three-dimensional model of the part to be detected, and determining the part type of the target part three-dimensional model as the part type of the part to be detected; and acquiring the geographical area of the part to be detected.

Optionally, the method further includes: generating three-dimensional models of parts of different part types according to part design drawings of different part types by using a three-dimensional graphic scanning tool or three-dimensional graphic modeling software; and storing the part three-dimensional models of different part types into a preset part three-dimensional model library.

Therefore, the embodiment of the invention can establish the model library containing the three-dimensional models of the parts with different part types, thereby being convenient for matching the three-dimensional model of the part to be detected with the three-dimensional models of the parts with different part types in the preset three-dimensional model library of the parts and determining the part type of the part to be detected.

Optionally, matching the three-dimensional model of the part to be detected with three-dimensional models of parts of different types in a preset three-dimensional model library of parts, and determining a target three-dimensional model of the part to be detected, including: respectively calculating the similarity between the three-dimensional model of the part to be detected and the three-dimensional models of parts of different part types in a preset three-dimensional model library of the part; and determining the target part three-dimensional model with the similarity larger than a preset similarity threshold value with the to-be-detected part three-dimensional model as a target part three-dimensional model matched with the to-be-detected part three-dimensional model.

Step 203, obtaining target damage object associated information matched with the three-dimensional model of the object to be detected from damage object associated information stored in a preset damage condition database according to the type of the object to be detected, the geographic area where the object to be detected is located and the three-dimensional model of the object to be detected.

The type of the damaged object in the target damaged object association information is the same as the type of the object to be detected, the geographical area where the damaged object is located is the same as the geographical area where the object to be detected is located or the distance between the geographical area where the damaged object is located and the geographical area where the object to be detected is located is smaller than a preset distance threshold, and the similarity between the three-dimensional model of the damaged object and the three-dimensional model of the object to be detected is larger than a preset similarity threshold.

Optionally, the three-dimensional model of the object to be detected is a three-dimensional model of a vehicle to be detected; the acquiring, according to the type and the geographic area of the object to be detected and the three-dimensional model of the object to be detected, target damage object associated information matched with the three-dimensional model of the object to be detected from damage object associated information stored in a preset damage condition database includes: acquiring a target damaged vehicle information group corresponding to the vehicle type of the vehicle to be detected and the geographic area in which the vehicle is located from a preset damaged condition database; the vehicle type in each damaged vehicle related information in the target damaged vehicle information group is the same as the vehicle type of the vehicle to be detected, and the geographical area where each damaged vehicle related information in the target damaged vehicle information group is located is the same as the geographical area where the vehicle to be detected is located or the distance between each damaged vehicle related information in the target damaged vehicle information group and the geographical area where the vehicle to be detected is located is smaller than a preset distance threshold; respectively calculating the similarity between the three-dimensional model of the vehicle to be detected and the three-dimensional model of the damaged vehicle in the damage vehicle associated information in the target damaged vehicle information group; and if a first target three-dimensional model with the similarity between the first target three-dimensional model and the to-be-detected vehicle three-dimensional model being larger than a preset similarity threshold exists, determining the damaged vehicle associated information to which the first target three-dimensional model belongs as the target damaged object associated information matched with the to-be-detected vehicle three-dimensional model.

Optionally, if there is no first target three-dimensional model with similarity greater than a preset similarity threshold value with the to-be-detected vehicle three-dimensional model, the to-be-detected vehicle three-dimensional model is sent to a manual detection platform, so that the manual detection platform feeds back a damage level, a maintenance scheme, maintenance pricing and an insurance claim scheme matched with the to-be-detected vehicle three-dimensional model.

Optionally, if the vehicle type in the associated information of each damaged vehicle in the group is not queried to be the same as the vehicle type of the vehicle to be detected, and the damaged vehicle information group in which the distance between the geographical area in which the associated information of each damaged vehicle in the group is located and the geographical area in which the vehicle to be detected is located is smaller than a preset distance threshold is determined, it is determined that the target damaged vehicle information group corresponding to the vehicle type of the vehicle to be detected and the geographical area in which the vehicle is located does not exist in the preset damage condition database, and the three-dimensional model of the vehicle to be detected is sent to a manual detection platform, so that the manual detection platform feeds back a damage level, a maintenance scheme, maintenance pricing and an insurance claim scheme matched with the three-dimensional model of the vehicle to be detected.

Optionally, the server sends the three-dimensional model of the vehicle to be detected to a manual detection platform. And the manual detection platform provides the three-dimensional model of the vehicle to be detected for detection personnel, acquires the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme which are determined by the detection personnel according to the three-dimensional model of the vehicle to be detected and are matched with the three-dimensional model of the vehicle to be detected, and then feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme which are matched with the three-dimensional model of the vehicle to be detected to a server.

Optionally, a preset similarity threshold is set according to the service requirement. And the first target three-dimensional model with the similarity between the first target three-dimensional model and the to-be-detected vehicle three-dimensional model being greater than a preset similarity threshold is a damaged vehicle three-dimensional model with high similarity to the to-be-detected vehicle three-dimensional model. Illustratively, the preset similarity threshold is 0.9. The damaged vehicle related information of the first target three-dimensional model is damaged vehicle related information of a damaged vehicle in a geographical region or a peripheral region where the vehicle to be detected is located, wherein the damaged vehicle related information is similar to the vehicle damage condition of the vehicle to be detected.

Optionally, the three-dimensional model of the object to be detected is a three-dimensional model of a part to be detected; the acquiring, according to the type and the geographic area of the object to be detected and the three-dimensional model of the object to be detected, target damage object associated information matched with the three-dimensional model of the object to be detected from damage object associated information stored in a preset damage condition database includes: acquiring a target damaged part information group corresponding to the part type of the part to be detected and the geographic area where the part to be detected is located in a preset damage condition database; the type of a part in each damaged part associated information in the target damaged part information group is the same as that of the part to be detected, and the geographical area in each damaged part associated information in the target damaged part information group is the same as that of the part to be detected or the distance between the geographical area and the geographical area in which the part to be detected is located is less than a preset distance threshold; respectively calculating the similarity between the three-dimensional model of the part to be detected and the three-dimensional model of the damaged part in the damaged part associated information in the target damaged part information group; and if a second target three-dimensional model with the similarity between the second target three-dimensional model and the three-dimensional model of the part to be detected larger than a preset similarity threshold exists, determining the damaged part associated information to which the second target three-dimensional model belongs as the target damaged object associated information matched with the three-dimensional model of the part to be detected.

Optionally, if a second target three-dimensional model with the similarity to the three-dimensional model of the part to be detected being greater than a preset similarity threshold does not exist, the three-dimensional model of the part to be detected is sent to a manual detection platform, so that the manual detection platform feeds back a damage level, a maintenance scheme, maintenance pricing and an insurance claim scheme matched with the three-dimensional model of the part to be detected.

Optionally, if the type of the part in the related information of each damaged part in the group is not found to be the same as the type of the part to be detected, and the damaged part information group in which the distance between the geographical area in which the damaged part is located in the related information of each damaged part in the group and the geographical area in which the part to be detected is located is smaller than a preset distance threshold, it is determined that the damaged part information group corresponding to the type of the part to be detected and the geographical area in which the part is located does not exist in the preset damage condition database, and the three-dimensional model of the part to be detected is sent to a manual detection platform, so that the manual detection platform feeds back the damage level, the maintenance scheme, the pricing maintenance scheme and the insurance claim scheme matched with the three-dimensional model of the part to be detected.

Optionally, the server sends the three-dimensional model of the part to be detected to a manual detection platform. And the manual detection platform provides the three-dimensional model of the part to be detected for detection personnel, acquires the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme which are determined by the detection personnel according to the three-dimensional model of the part to be detected and are matched with the three-dimensional model of the part to be detected, and then feeds back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme which are matched with the three-dimensional model of the part to be detected to a server.

Optionally, a preset similarity threshold is set according to the service requirement. And the second target three-dimensional model with the similarity between the three-dimensional model and the part to be detected being greater than a preset similarity threshold is a three-dimensional model of the damaged part which is similar to the three-dimensional model of the part to be detected and is higher. Illustratively, the preset similarity threshold is 0.9. And the damaged part associated information to which the second target three-dimensional model belongs is damaged part associated information of the damaged part similar to the part damage condition of the part to be detected in the geographical region or the peripheral region where the part to be detected is located.

And 204, determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the object to be detected.

Optionally, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle in the target damaged object associated information matched with the three-dimensional model of the vehicle to be detected are determined as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the vehicle to be detected.

And the damaged vehicle in the target damaged object associated information matched with the three-dimensional model of the vehicle to be detected is a damaged vehicle in the geographical area or the peripheral area where the vehicle to be detected is located, wherein the damaged vehicle is similar to the vehicle damage condition of the vehicle to be detected.

The damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the vehicle to be detected are similar to the damage condition of the vehicle to be detected.

Optionally, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged part in the target damaged object associated information matched with the three-dimensional model of the part to be detected are determined as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the part to be detected.

And the damaged part in the target damaged object associated information matched with the three-dimensional model of the part to be detected is a damaged part in the geographical region or the peripheral region where the part to be detected is located, wherein the damaged part is similar to the part to be detected in the damage condition.

The damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the part to be detected are similar to the damage condition of the part to be detected in the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged part.

And step 205, feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the object to be detected to the terminal equipment.

Optionally, the server sends the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the vehicle to be detected to the terminal device, so that the terminal device displays the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the vehicle to be detected to the target user.

Optionally, the server sends the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme matched with the three-dimensional model of the part to be detected to the terminal device, so that the terminal device displays the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme matched with the three-dimensional model of the part to be detected to the target user.

Optionally, after determining the part type of the part to be detected, the method further includes: collecting part suppliers and part quotations corresponding to the parts to be detected according to the part types and the geographic areas of the parts to be detected; the part supplier corresponding to the part to be detected is a supplier selling parts of the same type as the part of the part to be detected in the local processing area of the part to be detected, and the part offer corresponding to the part to be detected is the price of the parts of the same type as the part of the part to be detected sold in the local processing area of the part to be detected; and feeding back a part supplier and a part quotation corresponding to the part to be detected, and a damage level, a maintenance scheme, maintenance pricing and an insurance claim payment scheme matched with the three-dimensional model of the part to be detected to the terminal equipment of the target user.

Therefore, the embodiment of the invention can provide richer reference information for the maintenance and insurance claim settlement process of the parts to be detected.

The embodiment of the invention provides a vehicle damage detection method, which can automatically determine damaged vehicles similar to the damage condition of the vehicle to be detected in the geographic area or the peripheral area of the vehicle to be detected by matching the type, the geographic area and the three-dimensional model of the vehicle to be detected and the damaged vehicles in the damage condition database, automatically determine damaged parts similar to the damage condition of the parts to be detected in the geographic area or the peripheral area of the parts to be detected by matching the type, the geographic area and the three-dimensional model of the parts to be detected and the damaged parts in the damage condition database, and feed back the damage level, the maintenance scheme and the insurance claim scheme of the damaged vehicles similar to the damage condition of the vehicle to be detected or the damaged parts similar to the damage condition of the parts to be detected to a user, so that the user can perform subsequent maintenance and insurance claim settlement processing on the vehicle to be detected or the part to be detected according to the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme of the damaged vehicle or the damaged part with similar conditions.

For users such as insurance damage makers, maintenance personnel and the like, years of experience is not needed, only the three-dimensional model of the vehicle to be detected or the part to be detected is sent to the server, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected fed back by the server can be obtained, and the subsequent maintenance and insurance claim processing of the vehicle to be detected or the part to be detected are carried out according to the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged vehicle similar to the damage condition of the vehicle to be detected or the damaged part similar to the damage condition of the part to be detected.

For an owner user, the damaged vehicle similar to the damaged condition of the vehicle to be detected or the damaged part similar to the damaged condition of the part to be detected fed back by the server, the maintenance scheme, the maintenance pricing and the insurance claim scheme can be obtained only by sending the three-dimensional model of the vehicle to be detected or the part to be detected to the server, so that the owner user can judge whether the information such as the damaged level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the vehicle or the part provided by an insurance loser and a maintainer is accurate and reasonable, and the self-interest is maintained without being damaged under the condition that the insurance loser and the maintainer violate professionally run.

For the insurance platform, the three-dimensional model of the vehicle to be detected or the part to be detected is real and can not be tampered, the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme are also determined according to the real damage condition of the vehicle and the part, and the maintenance pricing is transparent, so that a series of related personnel can be restrained.

EXAMPLE III

Fig. 3 is a schematic structural diagram of a vehicle damage detection apparatus according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: an image receiving module 301, a first information determining module 302, a first information matching module 303, a first detection result determining module 304, and a first detection result feedback module 305.

The image receiving module 301 is configured to receive an image of an object to be detected, which is sent by a target user through a terminal device, where the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected; the first information determining module 302 is configured to determine the type of an object to be detected according to the image of the object to be detected, and acquire a geographic area where the object to be detected is located, where the object to be detected is a vehicle to be detected or a component to be detected; a first information matching module 303, configured to obtain, according to the type and the geographic area of the object to be detected and the image of the object to be detected, target damaged object associated information matched with the image of the object to be detected from damaged object associated information stored in a preset damaged condition database; the type of the damaged object in the target damaged object association information is the same as that of the object to be detected, the geographical area where the damaged object is located is the same as that of the object to be detected or the distance between the geographical area where the damaged object is located and that of the object to be detected is smaller than a preset distance threshold, and the similarity between the image of the damaged object and the image of the object to be detected is larger than a preset similarity threshold; a first detection result determining module 304, configured to determine the damage level, the maintenance scheme, the maintenance pricing, and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing, and the insurance claim scheme that are matched with the image of the object to be detected; the first detection result feedback module 305 is configured to feed back the damage level, the maintenance plan, the maintenance pricing, and the insurance claim scheme matched with the image of the object to be detected to the terminal device.

The embodiment of the invention provides a vehicle damage detection device, which can automatically determine damaged vehicles similar to the damage condition of a vehicle to be detected in the geographic area or the peripheral area of the vehicle to be detected by matching the type, the geographic area and the image of the damaged vehicle in the database of the vehicle to be detected and the damage condition of the vehicle to be detected, can automatically determine damaged parts similar to the damage condition of the parts to be detected in the geographic area or the peripheral area of the parts to be detected by matching the type, the geographic area and the image of the parts to be detected in the database of the parts to be detected and the damage condition of the parts to be detected in the geographic area or the peripheral area of the parts to be detected, and can automatically determine the damaged parts similar to the damage condition of the parts to be detected or the damage level of the damaged vehicles similar to the damage condition of the vehicles to be detected or the damaged parts similar to the damage condition of the parts to be detected, And feeding back the maintenance scheme, the maintenance pricing and the insurance claim payment scheme to the user so that the user can perform subsequent maintenance and insurance claim payment processing on the vehicle to be detected or the part to be detected according to the damage level, the maintenance scheme, the maintenance pricing and the insurance claim payment scheme of the damaged vehicle or the damaged part with similar conditions.

In an optional implementation manner of the embodiment of the present invention, optionally, the vehicle damage detection apparatus further includes: the three-dimensional model receiving module is used for receiving a three-dimensional model of an object to be detected, which is sent by a target user through terminal equipment, wherein the three-dimensional model of the object to be detected is a three-dimensional model of a vehicle to be detected or a three-dimensional model of a part to be detected; the second information determining module is used for determining the type of the object to be detected according to the three-dimensional model of the object to be detected and acquiring the geographical area where the object to be detected is located, wherein the object to be detected is a vehicle to be detected or a part to be detected; the second information matching module is used for acquiring target damage object associated information matched with the three-dimensional model of the object to be detected from damage object associated information stored in a preset damage condition database according to the type and the geographic area of the object to be detected and the three-dimensional model of the object to be detected; the type of the damaged object in the target damaged object association information is the same as that of the object to be detected, the geographic area where the damaged object is located is the same as that of the object to be detected or the distance between the geographic area where the damaged object is located and the geographic area where the object to be detected is located is smaller than a preset distance threshold, and the similarity between the three-dimensional model of the damaged object and the three-dimensional model of the object to be detected is larger than a preset similarity threshold; the second detection result determining module is used for determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the object to be detected; and the second detection result feedback module is used for feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the object to be detected to the terminal equipment.

In an optional implementation manner of the embodiment of the present invention, optionally, the damage object association information stored in the preset damage condition database includes: damaged vehicle related information and damaged part related information; the damaged object in the damaged vehicle correlation information is a damaged vehicle, the type of the damaged object is the type of the damaged vehicle, and the geographical area where the damaged object is located is the geographical area where the damaged vehicle is located; the damaged object in the damaged part associated information is a damaged part, the type of the damaged object is the type of the damaged part, and the geographical area where the damaged object is located is the geographical area where the damaged part is located; the vehicle damage detection device further includes: the database establishing module is used for acquiring the related information of the damaged vehicles and the related information of the damaged parts in a set number, and storing the related information of each damaged vehicle and the related information of each damaged part into a preset damage condition database; wherein each of the damaged vehicle-related information at least includes: images of damaged vehicles, three-dimensional models, vehicle types, geographic areas, damage levels, maintenance plans, maintenance pricing, and insurance claim schemes; each of the damaged part related information at least includes: images of damaged parts, three-dimensional models, part types, geographic areas, damage levels, maintenance plans, maintenance pricing, and insurance claim plans.

In an optional implementation manner of the embodiment of the present invention, optionally, when the database establishing module executes an operation of storing each damaged vehicle related information in a preset damaged condition database, the database establishing module is specifically configured to: grouping the damaged vehicle related information according to the geographical area to obtain a plurality of damaged vehicle information groups, wherein the geographical areas of the damaged vehicle related information in the damaged vehicle information groups are the same; for each damaged vehicle information group, grouping damaged vehicle related information in the damaged vehicle information group according to vehicle types to obtain a plurality of damaged vehicle information groups, wherein the geographical regions of the damaged vehicle related information in each damaged vehicle information group are the same as the vehicle types; and storing each damaged vehicle information group into a preset damage condition database.

In an optional implementation manner of the embodiment of the present invention, optionally, when the database establishing module executes an operation of storing the related information of each damaged part in a preset damaged condition database, the database establishing module is specifically configured to: grouping the damaged part associated information according to the geographical area to obtain a plurality of damaged part information groups, wherein the geographical areas of the damaged part associated information in the damaged part information groups are the same; for each damaged part information group, grouping damaged part associated information in the damaged part information group according to part types to obtain a plurality of damaged part information groups, wherein the geographical area of each damaged part associated information in each damaged part information group is the same as the part type; and storing each damaged part information group into a preset damage condition database.

In an optional implementation manner of the embodiment of the present invention, optionally, the object image to be detected is a vehicle image to be detected; the first information determining module 302 is specifically configured to, when performing an operation of determining the type of the object to be detected according to the image of the object to be detected and acquiring the geographic area where the object to be detected is located: carrying out optical character recognition on the vehicle image to be detected, acquiring a vehicle identification number in the vehicle image to be detected, and determining the vehicle type of the vehicle to be detected according to the vehicle identification number; acquiring the geographical area of the vehicle to be detected; the first information matching module 303 is specifically configured to, when performing an operation of acquiring, from damaged object associated information stored in a preset damaged condition database, target damaged object associated information matched with the object image to be detected, according to the type and the geographic area of the object to be detected and the object image to be detected, specifically: acquiring a target damaged vehicle information group corresponding to the vehicle type of the vehicle to be detected and the geographic area in which the vehicle is located from a preset damaged condition database; the vehicle type in each damaged vehicle related information in the target damaged vehicle information group is the same as the vehicle type of the vehicle to be detected, and the geographical area where each damaged vehicle related information in the target damaged vehicle information group is located is the same as the geographical area where the vehicle to be detected is located or the distance between each damaged vehicle related information in the target damaged vehicle information group and the geographical area where the vehicle to be detected is located is smaller than a preset distance threshold; respectively calculating the similarity between the image of the vehicle to be detected and the image of the damaged vehicle in the related information of each damaged vehicle in the target damaged vehicle information group; and if a first target image with the similarity between the first target image and the to-be-detected vehicle image being greater than a preset similarity threshold exists, determining the damaged vehicle associated information to which the first target image belongs as the target damaged object associated information matched with the to-be-detected vehicle image.

In an optional implementation manner of the embodiment of the present invention, optionally, the image of the object to be detected is an image of a part to be detected; the first information determining module 302 is specifically configured to, when performing an operation of determining the type of the object to be detected according to the image of the object to be detected and acquiring the geographic area where the object to be detected is located: carrying out optical character recognition on the image of the part to be detected, acquiring a part identifier in the image of the part to be detected, and determining the type of the part to be detected according to the part identifier; acquiring the geographical area of the part to be detected; the first information matching module 303 is specifically configured to, when performing an operation of acquiring, from damaged object associated information stored in a preset damaged condition database, target damaged object associated information matched with the object image to be detected, according to the type and the geographic area of the object to be detected and the object image to be detected, specifically: acquiring a target damaged part information group corresponding to the part type of the part to be detected and the geographic area where the part to be detected is located in a preset damage condition database; the type of a part in each damaged part associated information in the target damaged part information group is the same as that of the part to be detected, and the geographical area in each damaged part associated information in the target damaged part information group is the same as that of the part to be detected or the distance between the geographical area and the geographical area in which the part to be detected is located is less than a preset distance threshold; respectively calculating the similarity between the image of the part to be detected and the image of the damaged part in the related information of each damaged part in the target damaged part information group; and if a second target image with the similarity between the second target image and the part image to be detected larger than a preset similarity threshold exists, determining the damaged part associated information to which the second target image belongs as the target damaged object associated information matched with the part image to be detected.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

The vehicle damage detection device can execute the vehicle damage detection method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects for executing the vehicle damage detection method.

Example four

Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention.

The computer device 12 shown in FIG. 4 is only one example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention.

As shown in FIG. 4, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors 16, a memory 28, and a bus 18 connecting the various business system components (including the memory 28 and the processors 16).

Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

Computer device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.

The memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.

A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.

Computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with computer device 12, and/or with any devices (e.g., network card, modem, etc.) that enable computer device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, computer device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with the other modules of computer device 12 via bus 18. It should be appreciated that although not shown in FIG. 4, other hardware and/or software modules may be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

The processor 16 executes various functional applications and data processing by running the program stored in the memory 28, thereby implementing the vehicle damage detection method provided by the embodiment of the present invention: receiving an image of an object to be detected sent by a target user through terminal equipment, wherein the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected; determining the type of an object to be detected according to the image of the object to be detected, and acquiring the geographical area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected; acquiring target damaged object associated information matched with the to-be-detected object image from damaged object associated information stored in a preset damaged condition database according to the type and the geographical area of the to-be-detected object and the to-be-detected object image; the type of the damaged object in the target damaged object association information is the same as that of the object to be detected, the geographical area where the damaged object is located is the same as that of the object to be detected or the distance between the geographical area where the damaged object is located and that of the object to be detected is smaller than a preset distance threshold, and the similarity between the image of the damaged object and the image of the object to be detected is larger than a preset similarity threshold; determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected; and feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected to the terminal equipment.

EXAMPLE five

Fifth embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where when the computer program is executed by a processor, the method for detecting vehicle damage provided by the fifth embodiment of the present invention is implemented: receiving an image of an object to be detected sent by a target user through terminal equipment, wherein the image of the object to be detected is an image of a vehicle to be detected or an image of a part to be detected; determining the type of an object to be detected according to the image of the object to be detected, and acquiring the geographical area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected; acquiring target damaged object associated information matched with the to-be-detected object image from damaged object associated information stored in a preset damaged condition database according to the type and the geographical area of the to-be-detected object and the to-be-detected object image; the type of the damaged object in the target damaged object association information is the same as that of the object to be detected, the geographical area where the damaged object is located is the same as that of the object to be detected or the distance between the geographical area where the damaged object is located and that of the object to be detected is smaller than a preset distance threshold, and the similarity between the image of the damaged object and the image of the object to be detected is larger than a preset similarity threshold; determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected; and feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the image of the object to be detected to the terminal equipment.

Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A vehicle damage detection method, comprising:

2. The method of claim 1, further comprising:

receiving a three-dimensional model of an object to be detected, which is sent by a target user through terminal equipment, wherein the three-dimensional model of the object to be detected is a three-dimensional model of a vehicle to be detected or a three-dimensional model of a part to be detected;

determining the type of an object to be detected according to the three-dimensional model of the object to be detected, and acquiring the geographical area of the object to be detected, wherein the object to be detected is a vehicle to be detected or a part to be detected;

acquiring target damage object associated information matched with the three-dimensional model of the object to be detected from damage object associated information stored in a preset damage condition database according to the type and the geographic area of the object to be detected and the three-dimensional model of the object to be detected; the type of the damaged object in the target damaged object association information is the same as that of the object to be detected, the geographic area where the damaged object is located is the same as that of the object to be detected or the distance between the geographic area where the damaged object is located and the geographic area where the object to be detected is located is smaller than a preset distance threshold, and the similarity between the three-dimensional model of the damaged object and the three-dimensional model of the object to be detected is larger than a preset similarity threshold;

determining the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme of the damaged object in the target damaged object associated information as the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the object to be detected;

and feeding back the damage level, the maintenance scheme, the maintenance pricing and the insurance claim scheme matched with the three-dimensional model of the object to be detected to the terminal equipment.

3. The method according to claim 1 or 2, wherein the injury object related information stored in the preset injury condition database comprises: damaged vehicle related information and damaged part related information; the damaged object in the damaged vehicle correlation information is a damaged vehicle, the type of the damaged object is the type of the damaged vehicle, and the geographical area where the damaged object is located is the geographical area where the damaged vehicle is located; the damaged object in the damaged part associated information is a damaged part, the type of the damaged object is the type of the damaged part, and the geographical area where the damaged object is located is the geographical area where the damaged part is located;

the vehicle damage detection method further includes:

acquiring a set amount of damaged vehicle associated information and damaged part associated information, and storing each damaged vehicle associated information and each damaged part associated information into a preset damage condition database;

wherein each of the damaged vehicle-related information at least includes: images of damaged vehicles, three-dimensional models, vehicle types, geographic areas, damage levels, maintenance plans, maintenance pricing, and insurance claim schemes; each of the damaged part related information at least includes: images of damaged parts, three-dimensional models, part types, geographic areas, damage levels, maintenance plans, maintenance pricing, and insurance claim plans.

4. The method of claim 3, wherein storing each of the damaged vehicle related information into a preset damage condition database comprises:

grouping the damaged vehicle related information according to the geographical area to obtain a plurality of damaged vehicle information groups, wherein the geographical areas of the damaged vehicle related information in the damaged vehicle information groups are the same;

for each damaged vehicle information group, grouping damaged vehicle related information in the damaged vehicle information group according to vehicle types to obtain a plurality of damaged vehicle information groups, wherein the geographical regions of the damaged vehicle related information in each damaged vehicle information group are the same as the vehicle types;

and storing each damaged vehicle information group into a preset damage condition database.

5. The method of claim 3, wherein storing the information associated with each damaged component in a predetermined damage condition database comprises:

grouping the damaged part associated information according to the geographical area to obtain a plurality of damaged part information groups, wherein the geographical areas of the damaged part associated information in the damaged part information groups are the same;

for each damaged part information group, grouping damaged part associated information in the damaged part information group according to part types to obtain a plurality of damaged part information groups, wherein the geographical area of each damaged part associated information in each damaged part information group is the same as the part type;

and storing each damaged part information group into a preset damage condition database.

6. The method according to claim 4, characterized in that the object image to be detected is a vehicle image to be detected;

the determining the type of the object to be detected according to the image of the object to be detected and acquiring the geographical area where the object to be detected is located includes:

carrying out optical character recognition on the vehicle image to be detected, acquiring a vehicle identification number in the vehicle image to be detected, and determining the vehicle type of the vehicle to be detected according to the vehicle identification number;

acquiring the geographical area of the vehicle to be detected;

the acquiring, according to the type of the object to be detected, the geographic area where the object to be detected is located, and the image of the object to be detected, target damaged object associated information matched with the image of the object to be detected from damaged object associated information stored in a preset damaged condition database includes:

acquiring a target damaged vehicle information group corresponding to the vehicle type of the vehicle to be detected and the geographic area in which the vehicle is located from a preset damaged condition database; the vehicle type in each damaged vehicle related information in the target damaged vehicle information group is the same as the vehicle type of the vehicle to be detected, and the geographical area where each damaged vehicle related information in the target damaged vehicle information group is located is the same as the geographical area where the vehicle to be detected is located or the distance between each damaged vehicle related information in the target damaged vehicle information group and the geographical area where the vehicle to be detected is located is smaller than a preset distance threshold;

respectively calculating the similarity between the image of the vehicle to be detected and the image of the damaged vehicle in the related information of each damaged vehicle in the target damaged vehicle information group;

and if a first target image with the similarity between the first target image and the to-be-detected vehicle image being greater than a preset similarity threshold exists, determining the damaged vehicle associated information to which the first target image belongs as the target damaged object associated information matched with the to-be-detected vehicle image.

7. The method according to claim 5, characterized in that the object image to be detected is a part image to be detected;

carrying out optical character recognition on the image of the part to be detected, acquiring a part identifier in the image of the part to be detected, and determining the type of the part to be detected according to the part identifier;

acquiring the geographical area of the part to be detected;

acquiring a target damaged part information group corresponding to the part type of the part to be detected and the geographic area where the part to be detected is located in a preset damage condition database; the type of a part in each damaged part associated information in the target damaged part information group is the same as that of the part to be detected, and the geographical area in each damaged part associated information in the target damaged part information group is the same as that of the part to be detected or the distance between the geographical area and the geographical area in which the part to be detected is located is less than a preset distance threshold;

respectively calculating the similarity between the image of the part to be detected and the image of the damaged part in the related information of each damaged part in the target damaged part information group;

and if a second target image with the similarity between the second target image and the part image to be detected larger than a preset similarity threshold exists, determining the damaged part associated information to which the second target image belongs as the target damaged object associated information matched with the part image to be detected.

8. A vehicle damage detection device, characterized by comprising:

9. A computer device, characterized in that the computer device comprises:

one or more processors;

storage means for storing one or more computer programs;

the vehicle impairment detection method of any one of claims 1 to 7 is implemented when the one or more computer programs are executed by the one or more processors such that the one or more processors execute the computer programs.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a vehicle damage detection method according to any one of claims 1 to 7.