CN115131702A - Vehicle damage assessment processing method, device, equipment and storage medium - Google Patents
Vehicle damage assessment processing method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN115131702A CN115131702A CN202210737610.4A CN202210737610A CN115131702A CN 115131702 A CN115131702 A CN 115131702A CN 202210737610 A CN202210737610 A CN 202210737610A CN 115131702 A CN115131702 A CN 115131702A
- Authority
- CN
- China
- Prior art keywords
- result
- vehicle
- data
- processed
- monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 27
- 238000012544 monitoring process Methods 0.000 claims abstract description 116
- 238000012545 processing Methods 0.000 claims abstract description 21
- 238000004458 analytical method Methods 0.000 claims description 54
- 238000004088 simulation Methods 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 14
- 238000013439 planning Methods 0.000 claims description 4
- 238000007726 management method Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 55
- 230000008569 process Effects 0.000 description 43
- 230000001815 facial effect Effects 0.000 description 10
- 239000013598 vector Substances 0.000 description 9
- 238000012550 audit Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000001133 acceleration Effects 0.000 description 3
- 230000001174 ascending effect Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000009432 framing Methods 0.000 description 2
- 230000000977 initiatory effect Effects 0.000 description 2
- 238000012806 monitoring device Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 241001622623 Coeliadinae Species 0.000 description 1
- 240000008005 Crotalaria incana Species 0.000 description 1
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000002194 synthesizing effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Human Computer Interaction (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Development Economics (AREA)
- Technology Law (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to the technical field of data processing, and discloses a vehicle damage assessment processing method, a device, equipment and a storage medium, wherein the method comprises the following steps: positioning and analyzing each piece of data to be processed by receiving the data to be processed to obtain an accident positioning address and a monitoring interface matched with the accident positioning address; calling first monitoring videos associated with the monitoring interfaces, and performing user authentication on the data to be processed according to the called first monitoring videos to obtain authentication results; determining user information corresponding to each data to be processed according to the authentication result; carrying out track loss assessment identification on the first monitoring video, and identifying a loss assessment result; and according to the loss assessment result and all user information, performing document generation and document auditing processing on each data to be processed to obtain an auditing result corresponding to each data to be processed one by one. Therefore, the invention realizes automatic damage assessment, improves the traffic rate of roads, ensures smooth roads and improves the driving experience satisfaction of vehicle owners.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for processing vehicle damage assessment.
Background
At present, with the increase of social development speed and the improvement of living standards of people, the coverage of urban roads and expressways is wider and wider, the popularization of self-driving vehicles is wider and wider, vehicles on the urban roads and the expressways are crowded at peak time, vehicle accidents are easy to happen, once the vehicle accidents happen, the accident scene needs to be reserved, the accident vehicle owners report the accidents, waiting for traffic policemen and insurance companies to arrive at the accident scene, long time is usually consumed to determine damage after arriving at the accident scene, and the initiation of a claim settlement flow is carried out, so that the time of the vehicle owners is greatly spent, the driving routes of other vehicles on the roads are influenced, the efficiency of determining damage and claim settlement is greatly reduced, and the traffic rate of the roads is reduced.
Disclosure of Invention
The invention provides a vehicle damage assessment processing method and device, computer equipment and a storage medium, which realize automatic damage assessment and claim settlement starting processes, quickly determine the verification result of claim settlement, avoid the need of relevant workers arriving at the site to perform accident acquisition and damage assessment, improve the damage assessment efficiency and the claim settlement efficiency, greatly save the waiting time of vehicle owners and improve the driving experience satisfaction of the vehicle owners.
A vehicle damage assessment processing method, comprising:
receiving at least one piece of data to be processed, and positioning and analyzing each piece of data to be processed to obtain an accident positioning address and at least one monitoring interface matched with the accident positioning address;
calling first monitoring videos associated with the monitoring interfaces, and performing user authentication on the data to be processed according to the called first monitoring videos to obtain authentication results;
determining user information corresponding to each piece of data to be processed according to the authentication result;
carrying out track damage assessment identification on the first monitoring video, and identifying a damage assessment result;
and according to the loss assessment result and all the user information, performing bill generation and bill auditing treatment on the data to be processed to obtain auditing results corresponding to the data to be processed one by one.
A vehicle damage assessment processing apparatus comprising:
the receiving module is used for receiving at least one piece of data to be processed, and positioning and analyzing each piece of data to be processed to obtain an accident positioning address and at least one monitoring interface matched with the accident positioning address;
the authentication module is used for calling the first monitoring video associated with each monitoring interface, and performing user authentication on each to-be-processed data according to the called first monitoring video to obtain an authentication result;
the determining module is used for determining user information corresponding to each piece of to-be-processed data according to the authentication result;
the loss assessment module is used for carrying out track loss assessment identification on the first monitoring video and identifying a loss assessment result;
and the auditing module is used for performing bill generation and bill auditing processing on the data to be processed according to the loss assessment result and all the user information to obtain auditing results corresponding to the data to be processed one by one.
A computer device comprising a memory, a processor and a computer program stored in said memory and executable on said processor, said processor implementing the steps of the above-mentioned vehicle damage assessment processing method when executing said computer program.
A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned vehicle damage assessment processing method.
According to the vehicle damage assessment processing method, the vehicle damage assessment processing device, the computer equipment and the storage medium, positioning analysis is carried out on each data to be processed by receiving at least one data to be processed, and an accident positioning address and at least one monitoring interface matched with the accident positioning address are obtained; calling first monitoring videos associated with the monitoring interfaces, and performing user authentication on the data to be processed according to the called first monitoring videos to obtain authentication results; determining user information corresponding to each piece of to-be-processed data according to the authentication result; carrying out track damage assessment identification on the first monitoring video, and identifying a damage assessment result; according to the loss assessment result and all the user information, document generation and document audit processing are carried out on each data to be processed to obtain audit results corresponding to each data to be processed one by one, so that the accident positioning address of reported data sent by a terminal held by each accident owner is analyzed through positioning, a monitoring video corresponding to the accident positioning address is automatically called, the user information of the accident owner is determined through user authentication, the loss assessment result is identified through trajectory loss assessment, documents and audit documents are automatically generated based on the loss assessment result and the user information, and finally the audit results are determined, so that the accident data (data to be processed) are reported by shaking the accident owner on a loss assessment application program of the terminal without the need of relevant staff (such as traffic, police claims and the like) to arrive at the site and manually assess the loss, the method has the advantages that the damage assessment and the claim settlement flow are directly and automatically carried out, the examination and verification result of the claim settlement is quickly determined, the damage assessment efficiency and the claim settlement efficiency are improved, the waiting time of car owners is greatly saved, the traffic rate of roads is improved, the smoothness of the roads is guaranteed, and the driving experience satisfaction degree of the car owners is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic diagram of an application environment of a vehicle damage assessment processing method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a vehicle damage assessment processing method according to an embodiment of the present invention;
FIG. 3 is a flowchart of step S10 of the vehicle damage assessment processing method according to one embodiment of the present invention;
FIG. 4 is a flowchart of step S20 of the vehicle damage assessment processing method according to an embodiment of the present invention;
FIG. 5 is a flowchart of step S30 of the vehicle damage assessment processing method according to an embodiment of the present invention;
FIG. 6 is a flowchart of step S40 of the vehicle damage assessment processing method according to one embodiment of the present invention;
FIG. 7 is a schematic block diagram of a vehicle damage assessment processing apparatus according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of a computer device in an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The vehicle damage assessment processing method provided by the invention can be applied to the application environment shown in fig. 1, wherein a client (a computer device or a mobile terminal) communicates with a server through a network. The client (computer device or mobile terminal) includes, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, cameras, and portable wearable devices. The server may be implemented as a stand-alone server or as a server cluster consisting of a plurality of servers.
The vehicle damage assessment processing method is executed by a server.
In an embodiment, as shown in fig. 2, a method for processing damage assessment of a vehicle is provided, which mainly includes the following steps S10-S50:
s10, receiving at least one piece of data to be processed, and positioning and analyzing each piece of data to be processed to obtain an accident positioning address and at least one monitoring interface matched with the accident positioning address.
Understandably, after downloading the loss assessment application program in a held terminal or a client, a vehicle owner starts the loss assessment application program, inputs vehicle owner related information, and obtains authorization for access positioning, when a traffic accident occurs on an urban road or an expressway, two or more accident vehicle owners only need to start the loss assessment application program, automatically report the accident by 'shaking one or clicking' a shaking one button through a handheld terminal, and send the data to be processed, wherein the data to be processed is data such as positioning data and user identification related to the accident reported by an accident vehicle owner, the data to be processed comprises positioning coordinate information of the terminal and the user identification (such as a mobile phone number of the vehicle owner) of the vehicle owner logging in the loss assessment application program, and the positioning coordinate information is a longitude and latitude coordinate of the terminal held by the vehicle owner.
The method comprises the steps of receiving data to be processed of two-party or multi-party accident car owners, carrying out positioning analysis on the data to be processed, wherein the positioning analysis process comprises the steps of carrying out positioning on a road map on positioning coordinate information in the data to be processed, positioning corresponding positioning addresses, converging adjacent positioning addresses into an accident positioning address, scanning a monitoring interface in a preset range area of the accident positioning address, and enabling the monitoring interface to be an interface address corresponding to a monitoring camera which is preset to be installed on an urban road or an expressway.
In an embodiment, as shown in fig. 3, in the step S10, the performing location analysis on each piece of to-be-processed data to obtain an accident location address and at least one monitoring interface matching the accident location address includes:
s101, performing road positioning on each piece of positioning coordinate information to obtain positioning addresses corresponding to each piece of positioning coordinate information one by one; the data to be processed includes positioning coordinate information.
Understandably, the road positioning is to perform positioning on a road map through longitude and latitude in the positioning coordinate information, if a positioned position point falls into a road of the road map, the positioned position point is recorded as the positioning address corresponding to the positioning coordinate information, and when the positioned position point deviates from the road, the shortest distance between the positioned position point and the road is automatically used as a repositioning direction until the position point falling into the road is moved, and the falling position is recorded as the positioning address corresponding to the deviating positioning coordinate information, wherein the road map is a map integrating all urban roads and expressways, and one piece of positioning coordinate information corresponds to one positioning address.
And S102, determining the accident positioning address and the road accident area according to all the positioning addresses.
Understandably, grouping all the positioning addresses, dividing the positioning addresses with Euclidean distance to a positioning address smaller than a preset distance into a group, fusing a group with an area of an area with overlap between the groups larger than the preset area into a group, performing mean processing on a road route on the fused group, that is, the distance from a position point to each positioning address in the group is shortest according to the route of the road, the position point is recorded as the accident positioning address, extending the circle area outwards by taking the accident location address as the center of a circle until the extended circle area covers all the location addresses in the group, and the preset length of the positioning address with the radius exceeding the farthest, wherein the preset length can be set according to requirements, the circle may be determined as the road accident area, and an area where the circle coincides with a road in the road map may also be recorded as the road accident area corresponding to the group.
The accident positioning address is an accident address, and the road accident area is an affected area covered by the accident on the road.
S103, scanning the monitoring interfaces in the road accident area to obtain at least one monitoring interface.
Understandably, the road accident area is mapped to a monitoring map so as to scan monitoring interfaces in the mapped area, the monitoring map is a distribution map of the monitoring interfaces corresponding to the monitoring devices or the monitoring cameras which are already arranged, the road accident area in the road map can also be scanned, the monitoring interfaces of the monitoring devices or the monitoring cameras which are already marked in the road map are scanned, and thus at least one monitoring interface can be scanned.
The invention realizes road positioning of each positioning coordinate information to obtain a positioning address corresponding to the positioning coordinate information in each to-be-processed data one by one; determining the accident positioning address and the road accident area according to all the positioning addresses; the monitoring interfaces in the road accident area are scanned to obtain at least one monitoring interface, so that the accident location address and the road accident area can be quickly and accurately located, the corresponding monitoring interfaces are automatically scanned, the corresponding monitoring interfaces do not need to be manually called, labor cost and time are saved, the accuracy and the accuracy of determining the accident location address and the road accident area are improved, and the locating efficiency is improved.
S20, calling first monitoring videos related to the monitoring interfaces, and performing user authentication on the data to be processed according to the called first monitoring videos to obtain authentication results.
Understandably, the retrieving process is a process of determining a time range to be retrieved according to the reporting time in the data to be processed, that is, obtaining the monitoring video stored or collected by the monitoring interface within a time period range before and after the reporting time, and determining the video as the first monitoring video associated with the monitoring interface, where the user authentication process is a process of extracting an image of information related to a vehicle owner from all the first monitoring videos, for example: the face, the license plate, the vehicle model and the like can be associated with the information of the vehicle owner, the information in the image is identified, the list of the vehicle owner possibly appearing in an accident is determined according to the identified information in the image, the list is compared with the owner information in the data to be processed through corresponding information, whether the owner information passes the authentication process is judged, and the authentication result represents the result of whether the owner information in the data to be processed passes the authentication process.
In an embodiment, as shown in fig. 4, in the step S20, that is, performing user authentication on each to-be-processed data according to the called first surveillance video to obtain an authentication result, the method includes:
s201, performing owner identification on all the first monitoring videos, and identifying owner results in the first monitoring videos.
Understandably, the vehicle owner identification is to capture the human face and the license plate in all the first monitoring videos, capture a human face image and a license plate image, perform human face identification on the human face image through a human face identification model, identify a human face identification result, perform license plate number identification on the license plate image through a license plate number identification model, identify a license plate identification result, combine the human face identification result and the license plate identification result to obtain a vehicle owner result, also combine the human face identification result and the license plate identification result in pairs, perform vehicle owner matching on the combined result, match a combination with a license plate matching degree larger than or equal to a preset threshold value, collect the matched combinations to obtain the vehicle owner result, wherein the vehicle owner result represents the result that the vehicle owner and the license plate are associated and matched in all the first monitoring videos, namely the result of the correct matching relationship of the vehicle owner driving the license plate vehicle.
In an embodiment, in the step S201, that is, performing owner identification on all the first monitoring videos, and identifying an owner result in the first monitoring video includes:
and capturing the face of the first monitoring video, and performing face recognition on the captured face image to obtain a face recognition result.
Understandably, the process of capturing the face is a process of performing framing processing on the first monitoring video to obtain an image frame, performing face target recognition on a face in the image frame to identify a face region, then extracting an image of the identified face region, and recording the extracted image as the face image, the process of recognizing the face is a process of extracting face features of the face image to extract a face feature map, and according to the extracted face feature map, obtaining feature vector values of face dimensions, such as: the vector value of the facial feature locating point feature, the vector value of the eye feature, the vector value of the nose feature, the vector value of the mouth feature, the vector value of the facial texture feature and the vector value of the face contour feature are compared, the feature vector value of each facial dimension is compared with the feature vectors of all the driver face photos with the driver licenses, and the driver face photos corresponding to the highest similarity degree which is greater than or equal to a preset threshold value are compared, so that the facial image is associated with the identified driver and serves as the facial recognition result of the facial image, the unrecognized facial image (the facial image with the highest similarity degree which is smaller than the preset threshold value) is not processed and is not associated with the driver, and the facial recognition result is empty.
The framing processing process is a process of segmenting each frame in an input video or segmenting every preset frame at intervals, the face image is an image containing a face in the first monitoring video, the face features are features related to the face, and the face features comprise facial feature locating point features, eye features, nose features, mouth features, face contour features and the like of the face
And capturing the license plate of the first monitoring video, and identifying the license plate of the captured license plate image to obtain a license plate identification result.
Understandably, the license plate capturing process is a process of performing frame division processing on the input first monitoring video, dividing an image frame, performing license plate target recognition on a license plate in the image frame, recognizing a license plate region with license plate characteristics, then extracting an image of the recognized license plate region, and recording the extracted image as the license plate image, the license plate number recognizing process is a process of performing extraction of character characteristics and digital characteristics on the license plate image, performing recognition of characters and numbers in the license plate image according to the extracted character characteristics and digital characteristics, recognizing the license plate number of the license plate image, and taking the mechanism as a license plate recognition result of the license plate image, wherein the license plate recognition result represents a license plate number result in the license plate image.
The license plate features are features related to the license plate, such as license plate ground color, number digits, license plate number rules, number format and the like.
And carrying out vehicle owner matching identification on the face identification result and the license plate identification result, and identifying the vehicle owner result.
Understandably, the matching and identifying process of the car owners includes combining the face identification result and the license plate identification result in pairs, searching whether an association relationship consistent with the combined result exists in a car owner library, reserving the association relationship consistent with the combined result, and recording the combined result as one of the car owner results, wherein the car owner result represents that the result of the association matching between the car owner and the license plate exists in all the first monitoring videos, namely the result of the correct matching relationship of the car owner driving the license plate vehicle, and the car owner result also represents that a set of the association between the car owner and the license plate exists in the first monitoring videos.
Wherein the vehicle master library stores a set of all vehicle owners and license plate numbers associated with the vehicle owners,
the method and the device realize face capture of the first monitoring video and face recognition of the captured face image to obtain a face recognition result; capturing a license plate of the first monitoring video, and identifying the license plate of the captured license plate image to obtain a license plate identification result; the face recognition result and the license plate recognition result are subjected to vehicle owner matching recognition to recognize the vehicle owner result, so that the face and the license plate number in the first monitoring video can be automatically recognized, vehicle owner results possibly having vehicle owner and license plate number association relation in an accident can be automatically recognized through vehicle owner matching recognition, manual recognition is not needed, the recognized vehicle owner results are more accurate and correct, and a data basis is provided for subsequent user authentication of the accident.
S202, vehicle information and policy information corresponding to the owner information in the data to be processed are searched.
Understandably, the data to be processed includes the owner information, the owner information is unique information of a "shake-shake" terminal, such as a mobile phone number, vehicle information and policy information corresponding to the owner information are searched in the cloud server, the vehicle information is related information of a vehicle bound with the owner information, such as a license plate number of the vehicle, a motor vehicle number and the like, the policy information is information included in a policy bound with the owner information, such as a name, an identity number, a policy number and the like in the policy bound with the owner information, the cloud server stores all the owner information, the vehicle information corresponding to the owner information one by one and a set of the policy information in a cross-database, and the cloud server can access all different databases providing the policy information.
S203, according to the owner result, carrying out user authentication on the vehicle information and the policy information to obtain the authentication result; the authentication result represents a result of whether the owner information in each piece of to-be-processed data passes the authentication.
Understandably, the process of performing user authentication on the vehicle information and the policy information is to combine the license plate number in the vehicle information and the name in the policy information, compare the combined result with the vehicle owner result one by one, determine whether the combined result can be found in the vehicle owner result, identify the owner information corresponding to the searchable combination as authenticated owner information if the combined result can be found in the vehicle owner result, identify the owner information corresponding to the combination that is searchable if the combined result cannot be found in the vehicle owner result as unauthenticated owner information, and reflect the result of whether the owner information in each piece of data to be processed is authenticated.
According to the method and the device, vehicle owner identification is carried out on all the first monitoring videos, and vehicle owner results in the first monitoring videos are identified; searching vehicle information and policy information corresponding to the owner information in the data to be processed; according to the owner result, user authentication is carried out on the vehicle information and the policy information to obtain the authentication result, so that owner identification can be automatically carried out on the first monitoring video, user authentication is automatically carried out to obtain the authentication result of owner information, manual authentication is not needed, and owner authentication is carried out through on-site video automatic accident report, so that correct authentication is accurately carried out on an accident owner, and the accuracy and the correctness of user authentication are improved.
And S30, determining the user information corresponding to each data to be processed according to the authentication result.
Understandably, when detecting that the authentication result does not have the owner information which is not authenticated, calling the user information associated with the owner information which is authenticated in the authentication result; when the fact that the owner information which is not authenticated passes is detected to exist in the authentication result, further owner authentication is conducted on the owner information which is not authenticated, owner authentication can be conducted through the fact that the unmanned aerial vehicle shoots the omnibearing video of the accident positioning address, then the authentication result is updated, and therefore the user information which is related to the owner information which passes the authentication in the updated authentication result is called.
The user information is related information of accident car owners corresponding to the data to be processed one by one.
In an embodiment, as shown in fig. 5, the step S30, namely, the determining, according to the authentication result, user information corresponding to each piece of to-be-processed data includes:
s301, when the authentication result is detected to have the owner information which is not authenticated, searching the video acquisition equipment closest to the accident positioning address.
Understandably, if the authentication result has the owner information that the authentication is not passed, the road map is scanned by taking the accident positioning address as the center of a circle and continuously enlarging the radius, and after the mark of the video acquisition equipment is scanned, the scanned video acquisition equipment is determined to be the nearest video acquisition equipment, the video acquisition equipment is the equipment capable of moving for shooting videos, and the video acquisition equipment can be an unmanned aerial vehicle.
S302, planning a moving route of the video acquisition equipment to the accident positioning address, and starting the video acquisition equipment to move according to the moving route.
Understandably, the process of planning the moving route of the video acquisition equipment to the accident positioning address is to apply a navigation technology, identify the terrain highest point of the straight-line distance between the marking point of the video acquisition equipment and the accident positioning address, preset height exceeding the terrain highest point as the ascending height of the video acquisition equipment, start the video acquisition equipment to move according to the moving route from the marking point of the video acquisition equipment and the straight-line route of the accident positioning address, then start the descending route from the ascending height, continuously identify accident vehicles (namely vehicles stopped at the roadside or at rest) in the descending process from high altitude in the moving process, ensure that the accident vehicles are just distributed in the middle position of the acquired image, and the occupied area of the accident vehicles occupies the preset ratio of the acquired image, say 80%, the point at which the stop is at this moment is the point of best vision.
Wherein the highest point of the terrain is the highest altitude in the altitudes of all points between two points, the difference between the highest altitude and the altitude of the video acquisition equipment is increased by a preset height to obtain the ascending height of the video acquisition equipment,
s303, acquiring a second monitoring video of the video acquisition equipment; and the second monitoring video is obtained by the video acquisition equipment by performing all-dimensional acquisition on the accident positioning address.
Understandably, the video collecting device can transmit the collected second monitoring video to the cloud server through a wireless network, the wireless network can enter an internet network at a wireless route and then transmit the second monitoring video to the cloud server, or transmit the second monitoring video to the cloud server through a 4G or 5G network, the second monitoring video is obtained by the video collecting device through omnibearing collection at the accident positioning address, the omnibearing collection is that the best vision point is taken as a central point, video collection is carried out in the direction of the central point at the front, back, left, right, upper left, upper right, lower left and lower right positions of the central point, namely on the same plane with the best vision point, when the definition of the collected video is lower than a preset definition threshold value, the video is vertically moved up and down to reach the preset definition threshold value, for example: the best vision point is "field" word central point, and the position of all-round collection is the nodical of "field" word, and the camera is all gathered to the position of central point, and auto focus arrives central point position, so, can gather each position to the video acquisition of accident scene, can gather the real picture of accident scene fast, provide the data basis for subsequent loss assessment.
S304, performing unauthenticated owner identification and unauthenticated owner authentication on the second monitoring video, and updating the authentication result.
Understandably, the unauthenticated owner identification is a process of carrying out face identification and license plate number identification on each frame of image in the second monitoring video, removing the combination of the authenticated owner of the identified result to obtain a final unauthenticated owner identification result, and then carrying out unauthenticated owner identification on the unauthenticated owner identification result, the unauthenticated owner identification process is a process of carrying out corresponding comparison authentication on the vehicle information and the policy information according to the unauthenticated owner identification result, namely, carrying out one-to-one comparison on the combination of the vehicle information and the remaining unauthenticated owner information in the policy information in the unauthenticated owner identification result to judge whether a consistent condition exists or not, changing the consistent owner information from unauthenticated passage to authenticated passage, and adding the owner information changed into authenticated passage into the authentication result, and updating the authentication result.
S305, the user information related to the owner information passing the authentication in the authentication result is called.
Understandably, the user information related to the owner information marked as passing authentication in the authentication result is called in the cloud server, and the user information is related information of accident owners corresponding to the data to be processed one by one.
The invention realizes that when the authentication result is detected to have the owner information which is not authenticated, the video acquisition equipment closest to the accident positioning address is searched; planning a moving route of the video acquisition equipment to the accident positioning address, and starting the video acquisition equipment to move according to the moving route; acquiring a second monitoring video of the video acquisition equipment; performing unauthenticated owner identification and unauthenticated owner authentication on the second monitoring video, and updating the authentication result; the user information is called and associated with the owner information passing the authentication in the authentication result, so that when the owner information passing the authentication can exist, the video acquisition equipment is automatically started to acquire the second monitoring video, the authentication result is updated through the owner identification of the unauthenticated owner and the unauthenticated owner authentication, and the updated user information is called, all the owner information can be authenticated more accurately, manual check on the owner passing the unauthenticated owner in the field is not needed, the checking cost is reduced, and the vehicle loss assessment efficiency is improved.
And S40, performing track damage assessment identification on the first monitoring video, and identifying a damage assessment result.
Understandably, the track damage assessment identification is to simulate the running process of the vehicle in the accident by simulating the vehicle track in the first monitoring video, analyze the simulated running process of each dimensionality relevant to damage assessment, and analyze the identification process of the damage assessment result.
And the damage assessment result is a result of determining the responsibility main body and the damage degree of the accident, and reflects the responsibility type of the owner and the damage type of the vehicle in the accident.
In an embodiment, as shown in fig. 6, in the step S40, the performing track damage identification on the first surveillance video and identifying a damage result includes:
s401, based on all the user information, vehicle track simulation is carried out on all the first monitoring videos, and a vehicle track model is constructed.
Understandably, according to the incidence relation between the car owners and the car license numbers in all the user information, license plate number marking or car owner marking is carried out on all the vehicles in the first monitoring video, then vehicle track simulation is carried out according to the marked moving tracks of the vehicles, the vehicle track simulation process comprises the steps of converting the shooting visual angle of the first monitoring video into a plane path, simulating the moving position of the plane path of the marked vehicles according to the moving change of the visual angle, and converting the length, the width and the height of the vehicles into the size on the plane through the proportion on the image, so that a vehicle track model is constructed, wherein the vehicle track model is a model of the moving tracks under the condition that the size of the marked vehicles is not changed.
S402, analyzing the damage assessment of the vehicle track model, and analyzing the damage assessment result.
Understandably, the process of the damage assessment analysis is a process of performing vehicle speed simulation analysis on the vehicle in the vehicle track model, performing collision simulation analysis on the vehicle in the vehicle track model, performing movement compliance analysis on the vehicle in the vehicle track model, and determining a damage assessment result by integrating all analysis results, wherein the damage assessment result embodies the responsibility type of the owner and the damage type of the vehicle in the accident.
According to the method, vehicle track simulation is carried out on all the first monitoring videos based on all the user information, and a vehicle track model is constructed; the vehicle track model is analyzed for damage assessment, and a damage assessment result is analyzed, so that the vehicle track model can be automatically constructed and automatically assessed without manual damage assessment, and the damage assessment efficiency and accuracy are improved.
In an embodiment, in step S402, performing a damage assessment analysis on the vehicle trajectory model, and analyzing the damage assessment result includes:
and carrying out vehicle speed simulation analysis on the vehicles in the vehicle track model to obtain a vehicle speed analysis result.
Understandably, the vehicle speed simulation analysis is to identify the moving speed of each point of the three-dimensional center of the vehicle marked in the vehicle track model on the moving track, so as to obtain a graph of the time and the speed of each marked vehicle, and record the graph as the vehicle speed analysis result or the vehicle speed analysis result on the time and the acceleration, wherein the vehicle speed analysis result embodies the graph of the time-moving speed/acceleration of each accident vehicle.
And carrying out collision simulation analysis on the vehicle in the vehicle track model to obtain a collision analysis result.
Understandably, the collision simulation analysis is to determine whether the marked vehicles have overlapped volumes according to the walking of the moving track in the vehicle track model under the condition that the marked vehicles do not change the size, and associate the overlapped volumes with the two vehicles, so as to summarize the overlapped volumes at all time points and record the result as the collision analysis result, wherein the collision analysis result represents the result of the overlapped volumes between the vehicles on the time axis.
And carrying out moving compliance analysis on the vehicle in the vehicle track model to obtain a compliance analysis result.
Understandably, still include the car light record of lighting lamp of the vehicle of each sign in the vehicle track model, record the car light condition on every track point promptly, remove the compliance analysis for the basis the record is lighted to the car light of two liang of vehicles in the predetermined time quantum before the coincidence volume appears in the collision analysis result, whether the traveling of the vehicle of each sign is the compliance or not is analyzed to the vehicle of each sign of output is at the compliance sign of each track point, thereby determines the compliance analysis result, the compliance analysis result has embodied the set of the compliance record of traveling of each vehicle on the time axle.
The preset time period can be set according to requirements, such as 5S or 10S.
And determining the damage assessment result according to the vehicle speed analysis result, the collision analysis result and the compliance analysis result.
Understandably, on a time axis in the vehicle speed analysis result, the collision analysis result and the compliance analysis result, the speed/acceleration, the coincidence and the compliance record of each vehicle determine the responsibility type of each vehicle, namely determine whether each vehicle is an active side or a passive side, and determine the damage type of each two vehicles according to the range of the coincidence volume of each two vehicles, namely determine the damage types such as slight scratch, moderate dent, severe dent and the like, so that all the responsibility types and the damage types are summarized, the probability analysis of the responsibility types is carried out on the summarized result, the maximum damage type is obtained after the duplication is removed, and the damage assessment result is output.
According to the invention, the vehicle speed analysis result is obtained by carrying out vehicle speed simulation analysis on the vehicle in the vehicle track model; performing collision simulation analysis on the vehicle in the vehicle track model to obtain a collision analysis result; performing moving compliance analysis on the vehicle in the vehicle track model to obtain a compliance analysis result; according to the vehicle speed analysis result, the collision analysis result and the compliance analysis result, the damage assessment result is determined, so that the damage assessment result can be automatically determined through simulation analysis of dimensions such as vehicle speed, collision and mobile compliance, manual damage assessment is not needed, and the objectivity and accuracy of damage assessment are improved.
And S50, performing bill generation and bill auditing processing on each piece of to-be-processed data according to the loss assessment result and all the user information to obtain auditing results corresponding to each piece of to-be-processed data one by one.
Understandably, according to the loss assessment result, matching the marked vehicles with the user information, further associating the marked vehicles with the data to be processed one by one, and finally determining the responsibility type and the damage type of each piece of data to be processed, wherein the bill generation process is a process of generating declaration bills corresponding to each piece of data to be processed one by one based on the determined responsibility type and the determined damage type of each piece of data to be processed, namely automatically filling the corresponding responsibility type and the corresponding damage type into corresponding positions in a bill template, then synthesizing a new bill, and initiating a bill auditing process for the generated bill, wherein the bill auditing process is a process of sending the generated bill to a cloud server, sending corresponding cross-server addresses according to the user information corresponding to each bill, and receiving an auditing result from the cloud server, therefore, the vehicle damage assessment process is completed, the auditing result is the result of returning to the cloud server after the cross server is audited, the auditing result reflects the result of auditing each link of the corresponding document by the cross server, the corresponding auditing result is received by the terminal of the accident owner corresponding to the data to be processed, the rapid damage assessment of the whole process of the vehicle damage assessment is realized, the damage assessment can be completed only by shaking, the accident site can be rapidly left without manually arriving at the site, the effect of rapidly dredging the road is achieved, and the road congestion is avoided.
Wherein one of the to-be-processed data is associated with one of the owner information, one of the owner information is associated with one of the user information,
the invention realizes that each data to be processed is positioned and analyzed by receiving at least one data to be processed to obtain an accident positioning address and at least one monitoring interface matched with the accident positioning address; calling first monitoring videos associated with the monitoring interfaces, and performing user authentication on the data to be processed according to the called first monitoring videos to obtain authentication results; determining user information corresponding to each piece of data to be processed according to the authentication result; carrying out track damage assessment identification on the first monitoring video, and identifying a damage assessment result; according to the loss assessment result and all the user information, document generation and document auditing treatment are carried out on each data to be processed to obtain auditing results corresponding to each data to be processed one by one, so that the accident positioning address of the reported data sent by the terminal held by each accident owner is resolved through positioning, the monitoring video corresponding to the accident positioning address is automatically called, the user information of the accident owner is determined through user authentication, the loss assessment result is identified through track loss assessment, documents and auditing documents are automatically generated based on the loss assessment result and the user information, and the auditing results are finally determined, so that the accident owner only needs to shake one by one on a loss assessment application program of the terminal to report the accident data (the data to be processed) without the need of relevant staff (such as traffic police, claim settlement personnel and the like) to arrive at the scene and manually assess loss, the method has the advantages that the damage is directly and automatically determined, the claim settlement flow is started, the auditing result of the claim settlement is rapidly determined, the damage determination efficiency and the claim settlement efficiency are improved, the waiting time of car owners is greatly saved, the traffic rate of roads is improved, the smoothness of the roads is guaranteed, and the driving experience satisfaction of the car owners is improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In one embodiment, a vehicle damage assessment processing device is provided, which corresponds to the vehicle damage assessment processing method in the above embodiments one to one. As shown in fig. 7, the vehicle damage assessment processing apparatus includes a receiving module 11, an authentication module 12, a determination module 13, a damage assessment module 14, and an audit module 15.
The functional modules are explained in detail as follows:
the receiving module 11 is configured to receive at least one piece of data to be processed, perform positioning analysis on each piece of data to be processed, and obtain an accident positioning address and at least one monitoring interface matched with the accident positioning address;
the authentication module 12 is configured to retrieve first monitoring videos associated with the monitoring interfaces, and perform user authentication on the to-be-processed data according to the retrieved first monitoring videos to obtain an authentication result;
a determining module 13, configured to determine, according to the authentication result, user information corresponding to each piece of the to-be-processed data;
a damage assessment module 14, configured to perform track damage assessment identification on the first monitoring video, and identify a damage assessment result;
and the auditing module 15 is configured to perform document generation and document auditing on each piece of to-be-processed data according to the loss assessment result and all pieces of user information, so as to obtain an auditing result corresponding to each piece of to-be-processed data one to one.
For specific limitations of the vehicle damage assessment processing device, reference may be made to the above limitations of the vehicle damage assessment processing method, which are not described herein again. The modules in the vehicle damage assessment processing device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a client or a server, and its internal structure diagram may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a readable storage medium and an internal memory. The readable storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the readable storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a vehicle damage assessment processing method.
In one embodiment, a computer device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the vehicle damage assessment processing method in the above embodiments is implemented.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the vehicle damage management method in the above-described embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A vehicle damage assessment processing method, comprising:
receiving at least one piece of data to be processed, and positioning and analyzing each piece of data to be processed to obtain an accident positioning address and at least one monitoring interface matched with the accident positioning address;
calling first monitoring videos associated with the monitoring interfaces, and performing user authentication on the data to be processed according to the called first monitoring videos to obtain authentication results;
determining user information corresponding to each piece of to-be-processed data according to the authentication result;
performing track damage identification on the first monitoring video, and identifying a damage result;
and according to the loss assessment result and all the user information, performing bill generation and bill auditing treatment on the data to be processed to obtain auditing results corresponding to the data to be processed one by one.
2. The vehicle damage assessment processing method according to claim 1, wherein said positioning and analyzing each of the data to be processed to obtain an accident positioning address and at least one monitoring interface matching the accident positioning address, comprises:
performing road positioning on each piece of positioning coordinate information to obtain positioning addresses corresponding to each piece of positioning coordinate information one by one; the data to be processed comprises positioning coordinate information;
determining the accident positioning address and the road accident area according to all the positioning addresses;
and scanning the monitoring interfaces in the road accident area to obtain at least one monitoring interface.
3. The vehicle damage assessment processing method according to claim 1, wherein said performing user authentication on each of the to-be-processed data according to each of the retrieved first surveillance videos to obtain an authentication result comprises:
performing owner identification on all the first monitoring videos to identify owner results in the first monitoring videos;
searching vehicle information and policy information corresponding to owner information in the data to be processed;
according to the owner result, carrying out user authentication on the vehicle information and the policy information to obtain an authentication result; the authentication result represents a result of whether the owner information in each piece of to-be-processed data passes the authentication.
4. The vehicle damage assessment processing method according to claim 3, wherein said performing owner identification on all the first surveillance videos and identifying owner results in the first surveillance videos comprises:
carrying out face capture on the first monitoring video, and carrying out face recognition on a captured face image to obtain a face recognition result;
capturing a license plate of the first monitoring video, and identifying the license plate number of the captured license plate image to obtain a license plate identification result;
and carrying out vehicle owner matching identification on the face identification result and the license plate identification result, and identifying the vehicle owner result.
5. The vehicle damage assessment processing method according to claim 1, wherein the determining user information corresponding to each of the data to be processed according to the authentication result includes:
when the authentication result is detected to have the owner information which is not authenticated, searching the video acquisition equipment closest to the accident positioning address;
planning a moving route of the video acquisition equipment to the accident positioning address, and starting the video acquisition equipment to move according to the moving route;
acquiring a second monitoring video of the video acquisition equipment; the second monitoring video is obtained by the video acquisition equipment by carrying out omnibearing acquisition on the accident positioning address;
performing unauthenticated owner identification and unauthenticated owner authentication on the second monitoring video, and updating the authentication result;
and calling the user information associated with the owner information passing the authentication in the authentication result.
6. The vehicle damage assessment processing method according to claim 1, wherein said performing track damage assessment on said first surveillance video and identifying a damage assessment result comprises:
based on all the user information, vehicle track simulation is carried out on all the first monitoring videos to construct a vehicle track model;
and analyzing the damage assessment of the vehicle track model, and analyzing the damage assessment result.
7. The vehicle damage assessment processing method according to claim 6, wherein said analyzing said vehicle trajectory model to obtain said damage assessment result comprises:
carrying out vehicle speed simulation analysis on the vehicle in the vehicle track model to obtain a vehicle speed analysis result;
performing collision simulation analysis on the vehicle in the vehicle track model to obtain a collision analysis result;
performing moving compliance analysis on the vehicle in the vehicle track model to obtain a compliance analysis result;
and determining the damage assessment result according to the vehicle speed analysis result, the collision analysis result and the compliance analysis result.
8. A vehicle damage assessment processing apparatus, comprising:
the receiving module is used for receiving at least one piece of data to be processed, and positioning and analyzing each piece of data to be processed to obtain an accident positioning address and at least one monitoring interface matched with the accident positioning address;
the authentication module is used for calling the first monitoring video associated with each monitoring interface, and performing user authentication on each to-be-processed data according to the called first monitoring video to obtain an authentication result;
the determining module is used for determining user information corresponding to each piece of to-be-processed data according to the authentication result;
the loss assessment module is used for carrying out track loss assessment identification on the first monitoring video and identifying a loss assessment result;
and the auditing module is used for performing bill generation and bill auditing processing on the data to be processed according to the loss assessment result and all the user information to obtain auditing results corresponding to the data to be processed one by one.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the vehicle damage management method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the vehicle damage management method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210737610.4A CN115131702A (en) | 2022-06-27 | 2022-06-27 | Vehicle damage assessment processing method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210737610.4A CN115131702A (en) | 2022-06-27 | 2022-06-27 | Vehicle damage assessment processing method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115131702A true CN115131702A (en) | 2022-09-30 |
Family
ID=83380727
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210737610.4A Pending CN115131702A (en) | 2022-06-27 | 2022-06-27 | Vehicle damage assessment processing method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115131702A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170008490A1 (en) * | 2014-04-01 | 2017-01-12 | Mico Latta Inc. | Vehicle and program for vehicle |
| CN108604284A (en) * | 2016-08-16 | 2018-09-28 | 华为技术有限公司 | Scene of the accident restoring method, device and movement monitoring equipment |
| CN108734424A (en) * | 2017-04-25 | 2018-11-02 | 物载天下网络科技（苏州）有限公司 | A kind of method and system of the identity automated validation of vehicle and goods matching system |
| CN109359329A (en) * | 2018-09-03 | 2019-02-19 | 江苏大学 | A kind of vehicle collision accident wisdom monitor supervision platform and method based on car networking |
| CN110321804A (en) * | 2019-06-11 | 2019-10-11 | 福建亿安智能技术有限公司 | One kind is combined based on face and electronic Car license recognition and carries out identity authentication method |
-
2022
- 2022-06-27 CN CN202210737610.4A patent/CN115131702A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170008490A1 (en) * | 2014-04-01 | 2017-01-12 | Mico Latta Inc. | Vehicle and program for vehicle |
| CN108604284A (en) * | 2016-08-16 | 2018-09-28 | 华为技术有限公司 | Scene of the accident restoring method, device and movement monitoring equipment |
| CN108734424A (en) * | 2017-04-25 | 2018-11-02 | 物载天下网络科技（苏州）有限公司 | A kind of method and system of the identity automated validation of vehicle and goods matching system |
| CN109359329A (en) * | 2018-09-03 | 2019-02-19 | 江苏大学 | A kind of vehicle collision accident wisdom monitor supervision platform and method based on car networking |
| CN110321804A (en) * | 2019-06-11 | 2019-10-11 | 福建亿安智能技术有限公司 | One kind is combined based on face and electronic Car license recognition and carries out identity authentication method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6527678B2 (en) | Overdue Vehicle Identification for Privacy Protection | |
| CN112085952B (en) | Method and device for monitoring vehicle data, computer equipment and storage medium | |
| CN110517500B (en) | Man-vehicle association processing method and device | |
| CN103699677B (en) | A kind of criminal's whereabouts mapping system and method based on face recognition technology | |
| CN109325429A (en) | A kind of method, apparatus, storage medium and the terminal of linked character data | |
| CN111444798A (en) | Method and device for identifying driving behavior of electric bicycle and computer equipment | |
| CN104239386A (en) | Method and system for prioritizion of facial recognition matches | |
| CN111931683B (en) | Image recognition method, device and computer readable storage medium | |
| CN112218243B (en) | Method, device, equipment and storage medium for associating massive man-vehicle data | |
| CN110929589A (en) | Method, device, computer device and storage medium for vehicle feature recognition | |
| CN112132853B (en) | Method and device for constructing ground guide arrow, electronic equipment and storage medium | |
| CN112770265B (en) | Pedestrian identity information acquisition method, system, server and storage medium | |
| CN110147731A (en) | Vehicle type recognition method and Related product | |
| CN112836683B (en) | License plate recognition method, device, equipment and medium for portable camera equipment | |
| CN113971821A (en) | Driver information determination method and device, terminal device and storage medium | |
| CN111369801A (en) | Vehicle identification method, device, equipment and storage medium | |
| CN113962326A (en) | Clustering method, device, equipment and computer storage medium | |
| KR100986622B1 (en) | System and method for public resentment delivery using lbs based mobile terminal | |
| CN115810134A (en) | Image acquisition quality inspection method, system and device for preventing car insurance from cheating | |
| CN111368617B (en) | Vehicle access data processing method and device | |
| CN111401362A (en) | Tampering detection method, device, equipment and storage medium for vehicle VIN code | |
| CN117542223B (en) | Parking management method and system based on computer vision | |
| CN113160272A (en) | Target tracking method and device, electronic equipment and storage medium | |
| CN117115801A (en) | License plate authenticity identification method, device, equipment and storage medium | |
| CN115131702A (en) | Vehicle damage assessment processing method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |