CN110852191A - Reserved vehicle taking method and device based on identity verification, storage medium and terminal - Google Patents
Reserved vehicle taking method and device based on identity verification, storage medium and terminal Download PDFInfo
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Abstract
An appointed car taking method and device based on identity authentication, a storage medium and a terminal are provided, the method comprises the following steps: receiving vehicle taking request information, wherein the vehicle taking request information comprises reservation information and a real-time human face image of a vehicle taking person; acquiring a pre-stored face image of a reservation person according to the reservation information, wherein the association relationship between the reservation information and the pre-stored face image of the reservation person is established after identity authentication in advance; respectively carrying out image recognition and comparison on the real-time face image of the person taking person and the pre-stored face image of the reservation person so as to judge whether the person taking person and the reservation person are consistent; and when the judgment result shows that the vehicle-taking person is consistent with the reservation person, allowing the vehicle-taking person to take the vehicle pointed by the reservation information. The scheme of the invention can provide an improved reserved car taking scheme, and automatic identity verification operation is realized in multiple stages of reserved car taking, so that the safety is improved, and the labor cost is reduced.
Description
Technical Field
The invention relates to the technical field of vehicle networking, in particular to a reserved vehicle taking method and device based on identity authentication, a storage medium and a terminal.
Background
With the development of the car networking technology, various network car applications supported by the car networking are brought forward. For example, a shared car rental Application allows a user to reserve a car in advance through an Application program (APP) and pick up the car to a reserved place by himself at a reserved time point without manually performing a delivery operation of the car on line. As another example, a pre-ordered test driving application allows a user to order a test driving of a vehicle through an APP and to pick up the vehicle at the ordered point in time by himself to the ordered point in time for the test driving without manually performing a delivery operation of the vehicle on-line.
However, emerging applications such as shared car renting and reserved test driving are still in a preliminary construction stage, and a plurality of unreasonable points exist in a specific implementation process. For example, in order to ensure the safety of the user in using the vehicle, the identity of a person using the reservation needs to be verified, but the existing identity verification operation still depends on manual work, and the efficiency and the cost are low. Moreover, the existing authentication process is too simple, and the illegal vehicle using behavior cannot be identified in time.
Disclosure of Invention
The invention aims to provide an improved vehicle taking appointment scheme.
In order to solve the technical problem, an embodiment of the present invention provides an appointed car pickup method based on identity authentication, including: receiving vehicle taking request information, wherein the vehicle taking request information comprises reservation information and a real-time human face image of a vehicle taking person; acquiring a pre-stored face image of a reservation person according to the reservation information, wherein the association relationship between the reservation information and the pre-stored face image of the reservation person is established after identity authentication in advance; respectively carrying out image recognition and comparison on the real-time face image of the person taking person and the pre-stored face image of the reservation person so as to judge whether the person taking person and the reservation person are consistent; and when the judgment result shows that the vehicle-taking person is consistent with the reservation person, allowing the vehicle-taking person to take the vehicle pointed by the reservation information.
Optionally, the process of establishing an association relationship between the reservation information and the pre-stored face image of the reservation person includes: receiving reservation request information, and judging whether an idle vehicle matched with the reservation request information exists or not, wherein the reservation request information comprises vehicle information of a vehicle requesting reservation, a vehicle taking request place and a vehicle taking request time period; before/simultaneously/after, receiving identity information of a requester who sends the reservation request information, and judging whether the requester has driving qualification or not according to the identity information; when the judgment result shows that the matched free vehicle exists and the requester has the driving qualification, extracting a face image from the identity information as a pre-stored face image of the reservation person, and generating reservation information at least based on the vehicle information of the free vehicle; and establishing an association relation between the reservation information and the pre-stored face image of the reservation person.
Optionally, the identity information includes: an identification card image and a driving license image; the determining whether the requestor has driving qualifications according to the identity information includes: carrying out image recognition on the identity card image to obtain a first image recognition result; performing real-name authentication on the applicant based on the first image recognition result; when the real-name authentication is successful, carrying out image recognition on the driving license image to obtain a second image recognition result; comparing the first image recognition result with the second image recognition result; and if the comparison is consistent, determining that the requester has driving qualification.
Optionally, the reserved car taking method further includes: and sending reservation success information in response to the establishment of the association relationship between the reservation information and the pre-stored face images of the reservation persons, wherein the reservation success information at least comprises vehicle information of the idle vehicles.
Optionally, the process of establishing an association relationship between the reservation information and the pre-stored face image of the reservation person further includes: when the judgment result shows that no matched free vehicle exists and the requester has driving qualification, determining an alternative vehicle according to the reservation request information, wherein at least one of a deviation between the vehicle information of the alternative vehicle and the vehicle information of the vehicle requesting reservation indicated by the reservation request information, a deviation between the available time period of the alternative vehicle and the requested vehicle taking time period indicated by the reservation request information, and a deviation between the vehicle taking place of the alternative vehicle and the requested vehicle taking place indicated by the reservation request information is within a preset tolerable error range; sending first prompt information, wherein the first prompt information comprises vehicle information, available time periods and vehicle taking places of the alternative vehicles; in response to receiving the acceptance instruction of the requester, generating the reservation information based on at least vehicle information of the alternative vehicle.
Optionally, the process of establishing an association relationship between the reservation information and the pre-stored face image of the reservation person further includes: when the judgment result shows that a plurality of matched idle vehicles exist, second prompt information is sent, wherein the second prompt information comprises vehicle information of the matched idle vehicles; and in response to receiving a selection instruction of the requester, generating the reservation information at least based on the vehicle information of the idle vehicle selected by the requester.
Optionally, the reservation information includes a reserved vehicle taking time period and a reserved vehicle taking place; when the judgment result shows that the vehicle-taking person is consistent with the reservation person, before the vehicle-taking person is allowed to take the vehicle pointed by the reservation information, the method further comprises the following steps: judging whether the time point of receiving the vehicle taking request information falls into the reserved vehicle using time period or not; simultaneously, before or after, judging whether the distance between the current position of the vehicle-taking person and the reserved vehicle-taking place is smaller than a preset threshold value or not; the allowing the person taking the car to take the car pointed by the reservation information comprises the following steps: and when the judgment result shows that the time point of the vehicle taking request information falls into the reserved vehicle taking time period and the distance between the current position of the vehicle taking person and the reserved vehicle taking place is smaller than a preset threshold value, allowing the vehicle taking person to take the vehicle pointed by the reserved information.
Optionally, the current position of the vehicle taker is determined according to a first GPS device associated with the vehicle taker, the scheduled vehicle taking place is determined according to a second GPS device associated with the vehicle to which the scheduled information points, and the preset threshold is determined according to the real-time accuracy of the first GPS device and the real-time accuracy of the second GPS device.
Optionally, the reserved car taking method further includes: during driving, acquiring a real-time face image of a driver at preset intervals; carrying out image recognition on the real-time face image of the driver, and comparing the real-time face image of the driver with the real-time face image of the person to be taken; and sending warning information when the comparison result shows that the driver does not accord with the vehicle-taking person.
Optionally, the allowing the vehicle-taking person to take the vehicle to which the reservation information points includes: and transferring the control authority of the automobile to intelligent equipment associated with the driver.
In order to solve the above technical problem, an embodiment of the present invention further provides an appointed car-picking device based on identity authentication, including: the system comprises a receiving module, a display module and a display module, wherein the receiving module is used for receiving vehicle taking request information, and the vehicle taking request information comprises reservation information and a real-time human face image of a vehicle taking person; the acquisition module is used for acquiring a pre-stored face image of a reservation person according to the reservation information, wherein the association relationship between the reservation information and the pre-stored face image of the reservation person is established after identity verification is carried out in advance; the comparison and judgment module is used for respectively carrying out image recognition and comparison on the real-time face image of the person taking person and the pre-stored face image of the reservation person so as to judge whether the person taking person and the reservation person are consistent; and the control module allows the car taker to take the car pointed by the reservation information when the judgment result shows that the car taker is in line with the reservation person.
To solve the above technical problem, an embodiment of the present invention further provides a storage medium having stored thereon computer instructions, where the computer instructions execute the steps of the above method when executed.
In order to solve the above technical problem, an embodiment of the present invention further provides a terminal, including a memory and a processor, where the memory stores computer instructions capable of being executed on the processor, and the processor executes the computer instructions to perform the steps of the method.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides an appointed car taking method based on identity verification, which comprises the following steps: receiving vehicle taking request information, wherein the vehicle taking request information comprises reservation information and a real-time human face image of a vehicle taking person; acquiring a pre-stored face image of a reservation person according to the reservation information, wherein the association relationship between the reservation information and the pre-stored face image of the reservation person is established after identity authentication in advance; respectively carrying out image recognition and comparison on the real-time face image of the person taking person and the pre-stored face image of the reservation person so as to judge whether the person taking person and the reservation person are consistent; and when the judgment result shows that the vehicle-taking person is consistent with the reservation person, allowing the vehicle-taking person to take the vehicle pointed by the reservation information. Compared with the existing reserved vehicle taking scheme for performing identity verification only at the reserved stage, the scheme of the embodiment can realize automatic identity verification operation at multiple stages of reserved vehicle taking, so that the safety is improved, and the labor cost is reduced. Specifically, in the car taking stage, identity verification is carried out according to the real-time face image of the car taking person and the pre-stored face image of the reservation person, the fact that the car taking person is the reservation person is guaranteed, and the problem that whether the car taking person is the reservation person or not cannot be discriminated in the prior art is effectively solved. Furthermore, the pre-stored face image of the reservation person is also recorded and stored after being subjected to identity authentication in advance, so that only the person who passes the identity authentication can reserve the vehicle. Furthermore, reservation information is recorded through the pre-authentication, and a user does not need to upload certificate information again in the vehicle taking stage, so that the operation complexity of the user is reduced, and the user experience is optimized.
Further, the process of establishing the association relationship between the reservation information and the pre-stored face image of the reservation person includes: receiving reservation request information, and judging whether an idle vehicle matched with the reservation request information exists or not, wherein the reservation request information comprises vehicle information of a vehicle requesting reservation, a vehicle taking request place and a vehicle taking request time period; before/simultaneously/after, receiving identity information of a requester who sends the reservation request information, and judging whether the requester has driving qualification or not according to the identity information; when the judgment result shows that the matched free vehicle exists and the requester has the driving qualification, extracting a face image from the identity information as a pre-stored face image of the reservation person, and generating reservation information at least based on the vehicle information of the free vehicle; and establishing an association relation between the reservation information and the pre-stored face image of the reservation person. Therefore, in the reservation stage, the identity information of the requester is verified, and only the person passing the identity verification can reserve the automobile meeting the requirement. Further, after the verification is passed, the incidence relation between the pre-stored face image of the reservation person and the reservation order is established so as to call the reservation person in time for carrying out the identity verification again when the car is taken.
Drawings
Fig. 1 is a flowchart of an appointed car-picking method based on identity authentication according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for establishing an association relationship between reservation information and a pre-stored face image of a reservation person according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an appointed car taking device based on identity authentication according to an embodiment of the present invention.
Detailed Description
As background art says, the existing reservation car-taking scheme based on the internet of vehicles is still in a rudiment stage, largely depends on manual realization, and the process of verifying the identity of a reservation person is too simple, so that illegal user behaviors cannot be identified in time.
By taking shared car renting as an example, in the existing car renting process, only when an appointment applies for car renting, identity verification can be carried out, if an actual car taker and the appointment are not the same person, the situation can not be identified in the prior art, and the car using risk is obviously improved.
In order to solve the technical problem, an embodiment of the present invention provides an appointed car pickup method based on identity authentication, including: receiving vehicle taking request information, wherein the vehicle taking request information comprises reservation information and a real-time human face image of a vehicle taking person; acquiring a pre-stored face image of a reservation person according to the reservation information, wherein the association relationship between the reservation information and the pre-stored face image of the reservation person is established after identity authentication in advance; respectively carrying out image recognition and comparison on the real-time face image of the person taking person and the pre-stored face image of the reservation person so as to judge whether the person taking person and the reservation person are consistent; and when the judgment result shows that the vehicle-taking person is consistent with the reservation person, allowing the vehicle-taking person to take the vehicle pointed by the reservation information.
The scheme of this embodiment can all realize automatic authentication operation in a plurality of stages of reservation car taking to improve the security, reduce the cost of labor. Specifically, in the car taking stage, identity verification is carried out according to the real-time face image of the car taking person and the pre-stored face image of the reservation person, the fact that the car taking person is the reservation person is guaranteed, and the problem that whether the car taking person is the reservation person or not cannot be discriminated in the prior art is effectively solved. Furthermore, the pre-stored face image of the reservation person is also recorded and stored after being subjected to identity authentication in advance, so that only the person who passes the identity authentication can reserve the vehicle. Furthermore, reservation information is recorded through the pre-authentication, and a user does not need to upload certificate information again in the vehicle taking stage, so that the operation complexity of the user is reduced, and the user experience is optimized.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Fig. 1 is a flowchart of a method for reserving a car for pickup based on identity authentication according to an embodiment of the present invention.
The scheme of this embodiment can be applied to car networking technical field. In particular, the method can be applied to application scenes of reserving and taking automobiles through a network, such as online reservation driving test, shared automobile renting and the like.
The scheme of the embodiment can be applied to the user side, such as executed by the intelligent device of the user side. For example, the smart device may be installed with an application program, and the application program is used for executing the scheme of the embodiment. For another example, the solution of this embodiment may be executed by a backend server, and the smart device calls the application program to communicate with the backend server.
Specifically, referring to fig. 1, the reserved car taking method based on identity authentication according to this embodiment may include the following steps:
step S101, receiving vehicle taking request information, wherein the vehicle taking request information comprises reservation information and a real-time human face image of a vehicle taking person;
step S102, acquiring a pre-stored face image of a reservation person according to the reservation information, wherein the association relationship between the reservation information and the pre-stored face image of the reservation person is established after identity verification is carried out in advance;
step S103, respectively carrying out image recognition and comparison on the real-time face image of the person taking person and the pre-stored face image of the reservation person so as to judge whether the person taking person and the reservation person are consistent;
when the determination result in the step S103 is positive, that is, the driver and the reservation person are in agreement, the method in this embodiment further includes a step S104, which allows the driver to take the car to which the reservation information points.
When the determination result in the step S103 is negative, that is, the driver does not match the reservation person, the method in this embodiment further includes a step S105 of refusing the driver to take the car to which the reservation information points.
In the whole process of reserving car taking, the user has different identities at different stages: in the reservation stage, a user initiates a reservation request by the identity of a 'requester', and if the reservation is successful, the identity of the user is converted into a 'reservation man'; in the car taking stage, a user initiates a car taking request according to the identity of a car taking person, and after the car taking is successful, the identity of the user is converted into a driver; in the car use phase, the user uses the car in the "driver" status.
By executing the scheme of the embodiment, the user identity is verified in the reservation stage, the vehicle taking stage and the vehicle using stage, and the identity verification operation is performed based on different information in different stages, so that only the user meeting specific conditions can complete the reserved vehicle taking operation.
For example, in the reservation phase, the user's credentials are verified and the determined identity is verified when the user is determined to have driving qualifications.
For another example, in the car taking stage, the real-time face image of the user is collected and compared with the certificate information acquired in the reservation stage, and when the person taking the car and the person reserving the car are the same person, the identity verification is determined to be passed.
For another example, in the vehicle using stage, the real-time face image of the driver on the driver seat is collected and compared with the real-time face image of the user collected during vehicle taking, so as to judge whether the current driver is the reservation person.
By last, adopt the scheme of this embodiment, can all realize automatic authentication operation in a plurality of stages of reservation car taking to improve the security, reduce the cost of labor.
The authentication process in the subscription stage will be described in detail below.
Specifically, referring to fig. 2, the process of establishing the association relationship between the reservation information and the pre-stored face image of the reservation person may include the following steps:
step S201, receiving reservation request information, and judging whether an idle vehicle matched with the reservation request information exists, wherein the reservation request information comprises vehicle information of a vehicle requesting reservation, a vehicle taking request place and a vehicle taking request time period;
step S202, receiving identity information of a requester who sends the reservation request information, and judging whether the requester has driving qualification or not according to the identity information;
when the determination results of step S201 and step S202 are both positive, that is, there is a matching free vehicle, and the requester has driving qualification, the method further includes: step S203, extracting a face image from the identity information as a pre-stored face image of the reservation person, and generating reservation information at least based on the vehicle information of the idle vehicle;
and step S204, establishing the association relationship between the reservation information and the pre-stored face image of the reservation person.
More specifically, the step S201 and the step S202 may be executed synchronously or asynchronously. When asynchronous execution is performed, the execution sequence of step S201 and step S202 may be interchanged.
Therefore, in the reservation stage, the identity information of the requester is verified, and only the person passing the identity verification can reserve the automobile meeting the requirement. Further, after the verification is passed, the incidence relation between the pre-stored face image of the reservation person and the reservation order is established so as to call the reservation person in time for carrying out the identity verification again when the car is taken.
In a reserved test drive scenario, the vehicle information may include a vehicle type.
In the shared car renting scene, the vehicle information may include the driving mileage, the age, and the like of the car in addition to the model of the car.
In a specific implementation, the background server executing the solution of this embodiment may store vehicle information of all available vehicles in advance, and update the busy/idle state and reservation information of each vehicle in real time.
In the step S201, it may be determined whether there is an unreserved or unused vehicle at the vehicle pickup request location and the vehicle using request time slot, and if so, the vehicle may be allocated to the requester as an idle vehicle.
In one implementation, the identity information may include: an identification card image and a driver license image.
For example, the identification card image may include front and back images of the identification card.
Further, the step S202 may include the steps of: carrying out image recognition on the identity card image to obtain a first image recognition result; performing real-name authentication on the applicant based on the first image recognition result; when the real-name authentication is successful, carrying out image recognition on the driving license image to obtain a second image recognition result; comparing the first image recognition result with the second image recognition result; and if the comparison is consistent, determining that the requester has driving qualification.
For example, Optical Character Recognition (OCR) technology may be respectively adopted to perform image Recognition on the identification card image and the driving license image, the first image Recognition result obtained by Recognition may include an identification number on the identification card uploaded by the requester, and the second image Recognition result may include a driving license number and an identification number on the driving license uploaded by the requester.
And performing real-name authentication on the first image recognition result to determine whether the identity card uploaded by the applicant is a real and effective identity card.
By comparing whether the identification card number on the driving license is matched with the identification card number on the identification card, whether the applicant has driving qualification can be determined.
In one variation, the first image recognition result may further include a validity period of the identification card, and the second image recognition result may further include a validity period of the driving license. Correspondingly, when the real-name verification of the identity card is passed, the identity card number on the identity card is consistent with the identity card number on the driving license, and the identity card and the driving license are within the validity period, the requester is determined to have driving qualification.
In a variation, if the real-name verification fails, or the first image recognition result and the second image recognition result are not consistent, the correction and comparison of the identity card information and the driver's license information may be performed manually.
In one implementation, in response to determining that the requester has driving qualification and there is a matching free vehicle, in step S203, the avatar in the identification card image uploaded by the requester may be extracted as the pre-stored face image of the reservation person.
In a variation, the avatar in the driver license image uploaded by the requestor may also be extracted as the pre-stored face image of the reservation person.
Or, the identity card of the requester and the head portrait on the driving license can be used as the pre-stored face image of the reservation person.
In one implementation, the subscription information may include: identification (ID) of the reservation order, which has uniqueness, through which vehicle information of the reserved vehicle and identity information of the reservation person can be determined.
In step S204, the ID of the reservation order and the avatar on the ID card of the reservation person may be stored in a background database in association for being called by the vehicle pickup stage.
Further, the reservation information may further include a license plate number of the free vehicle to facilitate searching.
In a specific implementation, after the step S204, the method may further include the steps of: and sending reservation success information in response to the establishment of the association relationship between the reservation information and the pre-stored face images of the reservation persons, wherein the reservation success information at least comprises vehicle information of the idle vehicles.
For example, the license plate number of the free vehicle may be sent to the user. For example, the information may be displayed in the application program, or may be sent to the smart device of the user by a short message or the like.
In one specific implementation, when the determination result of the step S201 is negative, and the determination result of the step S202 is positive, that is, there is no matched idle vehicle, and the requester has driving qualification, the process of establishing the association relationship shown in fig. 2 may further include:
step S205, determining an alternative vehicle according to the reservation request information, wherein at least one of a deviation between the vehicle information of the alternative vehicle and the vehicle information of the reserved requested automobile indicated by the reservation request information, a deviation between the available time period of the alternative vehicle and the vehicle taking requested time period indicated by the reservation request information, and a deviation between the vehicle taking place of the alternative vehicle and the vehicle taking requested place indicated by the reservation request information is within a preset tolerable error range;
step S206, sending first prompt information, wherein the first prompt information comprises vehicle information, available time intervals and vehicle taking places of the alternative vehicles;
step S207, in response to receiving the acceptance instruction of the requester, generating the reservation information based on at least the vehicle information of the alternative vehicle.
Specifically, when the vehicle which does not meet the demand of the requester in the stock is available for reservation, the background server can select the available vehicle which is close to the demand of the requester and provide the vehicle to the user for selection.
More specifically, whether the available vehicle can be used as the alternative vehicle or not can be determined according to the matching degree of the available time interval of the available vehicle, the vehicle taking place and the vehicle information with the requirement of the requester.
For example, the deviation between the vehicle information of the candidate vehicle and the vehicle information of the automobile requesting reservation indicated by the reservation request information may indicate the degree of approximation of the vehicle type of the candidate vehicle to the vehicle type indicated by the reservation request information.
For another example, the deviation between the available time period of the alternative vehicle and the requested parking time period indicated by the reservation request information may refer to whether the available time period of the alternative vehicle intersects with the requested parking time period indicated by the reservation request information, or whether a starting or ending time point of one time period is continuous with an ending or starting time point of another time period.
For another example, the deviation between the pickup location of the candidate vehicle and the request pickup location indicated by the reservation request information may be a distance between the two locations.
Therefore, when there is no free vehicle which completely matches the vehicle taking place, the vehicle using time period and the vehicle type requested by the requesting person, the scheme of the embodiment can automatically turn to search for other available vehicles as the alternative vehicles, and by distinguishing the three deviations, the free vehicle which is close to the vehicle information requested to be reserved is searched as the alternative vehicle near the vehicle taking place as far as possible near the time point indicated by the vehicle using time period requested by the requesting person.
Further, the vehicle information may further include a vehicle age and a mileage.
In step S206, the first prompt message may be sent to the application program, or may also be sent to the intelligent device of the requester through a short message, so that the user may select whether to reserve the candidate vehicle.
In one variation, the first prompt message may include vehicle information, available time periods, and vehicle pickup locations of a plurality of candidate vehicles for selection by the user.
In step S207, the acceptance instruction may be used to instruct the requester to determine to reserve the alternative vehicle.
In one variation, when the first prompt message includes vehicle information of a plurality of candidate vehicles, an available time period, and a vehicle pickup location, the acceptance instruction may be used to instruct the requester to finally determine vehicle information of a reserved candidate vehicle.
In one specific implementation, when the determination result in the step S201 indicates that there are multiple matched idle vehicles, before the step S204 is executed, the process of establishing the association relationship shown in fig. 2 may further include the steps of: sending second prompt information, wherein the second prompt information comprises vehicle information of each matched idle vehicle; and in response to receiving a selection instruction of the requester, generating the reservation information at least based on the vehicle information of the idle vehicle selected by the requester.
Specifically, if there may be a plurality of free vehicles meeting the demand of the requester in the inventory, the background server may send the vehicle information of the plurality of free vehicles to the requester for selection.
Further, the second prompt message may further include vehicle information such as the age, mileage, engine parameters, and the like of each matched idle vehicle, so as to provide more references for the user to select.
The second prompt message may be sent to the application program, or may also be sent to the intelligent device of the requester in a short message or the like.
The selection instruction may be used to instruct the requester to finally determine vehicle information of a reserved free vehicle.
In one implementation, when the determination result of the step S202 is negative, that is, the requester does not have driving qualification, the reservation request information is rejected.
In one implementation, the authentication operation of step S202 may be performed when the user registers the application program, and the authentication result of the authentication is bound to an account of the user when the user logs in the application program. Therefore, in the actual use process, the user does not need to frequently carry out identity verification on the identity card and the driving license.
The following is a detailed description of the specific flow of the pickup phase shown in fig. 1.
In the step S101, the reservation information may include an ID of the reservation order.
For example, when picking up a car, in response to a user clicking a reservation order on an application program, the application program may send an ID of the reservation order to the backend server to trigger a car picking operation.
Meanwhile, the user needs to upload the real-time face image of the user so as to carry out identity verification in the car taking stage.
In a variation, the reservation information may further include a license plate number, and since the license plate number has uniqueness, the pre-stored face image of the reservation person may be uniquely matched by the license plate number.
In one implementation, the reservation information may further include a reserved car taking time period and a reserved car taking place.
Correspondingly, when the judgment result of the step S103 indicates that the vehicle-taking person is matched with the reservation person, before the step S104 is executed, the reserved vehicle-taking method shown in fig. 1 may further include the steps of: judging whether the time point of receiving the vehicle taking request information falls into the reserved vehicle using time period or not; simultaneously, before or after, judging whether the distance between the current position of the vehicle-taking person and the reserved vehicle-taking place is smaller than a preset threshold value or not;
accordingly, the step S104 may include the steps of:
and when the judgment result shows that the time point of the vehicle taking request information falls into the reserved vehicle taking time period and the distance between the current position of the vehicle taking person and the reserved vehicle taking place is smaller than a preset threshold value, allowing the vehicle taking person to take the vehicle pointed by the reserved information.
Therefore, the effect that the vehicle cannot be taken in the non-reservation time period and the user cannot be taken near the reserved vehicle in real time can be achieved.
In a specific implementation, the current location of the vehicle pickup person may be determined according to a first Global Positioning System (GPS) device associated with the vehicle pickup person, the reserved vehicle pickup location may be determined according to a second GPS device associated with the vehicle to which the reservation information points, and the preset threshold may be determined according to real-time accuracy of the first GPS device and real-time accuracy of the second GPS device.
For example, the preset threshold may be a sum of a real-time accuracy of the first GPS device and a real-time accuracy of the second GPS device.
The first GPS device may multiplex a GPS positioning device in the user's smart device. The second GPS device may be located in a car.
Specifically, two parameters, namely a positioning point and an accuracy, can be obtained through GPS positioning, wherein the positioning point is a longitude and latitude coordinate, and the accuracy is usually a distance. That is, the true position of the object to be located is normally distributed in a circular area with the locating point as the center and the precision as the radius.
In order to more accurately ensure that the user is at the side of the vehicle when taking the vehicle, the positioning point a and the positioning point precision a determined by the first GPS device, and the positioning point B and the positioning point precision B determined by the second GPS device are obtained according to the scheme of the embodiment. If the distance AB from the vehicle of the vehicle (i.e., the straight-line distance from the anchor point A to the anchor point B) is less than or equal to the sum of the accuracies of the two anchor points (i.e., a + B), the vehicle of the vehicle can be considered to be beside the vehicle.
Therefore, the preset threshold value can be adjusted in time according to the signal quality of the GPS equipment, and the judgment on the distance between the vehicle taking person and the reserved vehicle is more accurate.
Specifically, in the car taking stage, identity verification is carried out according to the real-time face image of the car taking person and the pre-stored face image of the reservation person, the fact that the car taking person is the reservation person is guaranteed, and the problem that whether the car taking person is the reservation person or not cannot be discriminated in the prior art is effectively solved.
Furthermore, the pre-stored face image of the reservation person is also recorded and stored after being subjected to identity authentication in advance, so that only the person who passes the identity authentication can reserve the vehicle.
Furthermore, reservation information is recorded through the pre-authentication, and a user does not need to upload certificate information again in the vehicle taking stage, so that the operation complexity of the user is reduced, and the user experience is optimized.
In one implementation, the step S104 may include the steps of: and transferring the control authority of the automobile to intelligent equipment associated with the driver. Therefore, the automobile can be used by the reservation person without the need of off-line delivery of the automobile key.
For example, the vehicle-taking person may control various functions of the vehicle through the application program.
In step S105, a warning message may be sent to the background monitoring staff to prompt the abnormal vehicle pickup request.
In the step S105, a third prompting message may be sent to the vehicle pickup person, where the third prompting message is used to prompt the vehicle pickup time period and/or the vehicle pickup place reserved by the vehicle pickup person.
The authentication process in the car using stage will be described in detail below.
In a specific implementation, after the step S104, the method according to this embodiment may further include the step of: during driving, acquiring a real-time face image of a driver at preset intervals; carrying out image recognition on the real-time face image of the driver, and comparing the real-time face image of the driver with the real-time face image of the person to be taken; and sending warning information when the comparison result shows that the driver does not accord with the vehicle-taking person.
For example, the warning information can be sent to monitoring personnel so that relevant personnel can process the warning information in time.
For another example, the real-time face image of the driver may be captured based on a camera installed in the automobile.
In one implementation, the background server does not store the real-time images collected in the vehicle during driving, but preferably records the comparison result, the emotion judgment result of the driver and other result data so as to better protect the privacy of the user.
By the above, by adopting the scheme of the embodiment, the verification object is differentially determined at different stages so as to realize more accurate identity verification by matching with the verification purpose at each stage, and the safety of the whole flow of reserving and taking the vehicle is ensured.
Specifically, in the reservation stage, the identity card and the driving license are authenticated to ensure that the user is a real user and has driving qualification.
And in the vehicle taking stage, the vehicle taking user and the reservation user are ensured to be the same person through matching the vehicle taking person with the face of the identity card provided during reservation so as to ensure the safety of test driving.
In the vehicle entering stage (namely the vehicle using stage), the same person is ensured for the driver and the vehicle taker by matching the faces of the driver and the vehicle taker, so that the subsequent data analysis is accurate.
In a typical application scenario, the background server may be a cloud server (hereinafter referred to as a cloud); the application program installed on the intelligent device associated with the user can communicate with the cloud server to send the information generated by the user side, such as vehicle taking request information and reservation request information, to the cloud server and receive the information fed back by the cloud server. The car may have the car networking box (also referred to as a chain box) pre-installed thereon, which is powered by the car.
Further, when the automobile is not started, the car networking box can be in a standby state (also called a low power consumption state), and in response to receiving a control instruction sent by the cloud server, the car networking box is switched to a working state and makes a corresponding response action. For example, in the car taking stage, after the identity verification is passed, the car networking box can unlock a car door lock of the car so as to enable the user to enter the car. For another example, in the vehicle using stage, the car networking box may control a camera installed in the car to collect image information of people in the car.
In one implementation, the internet of vehicle box may be mounted in any suitable location on the vehicle, such as near the driver's seat of the vehicle.
Fig. 3 is a schematic structural diagram of an appointed car taking device based on identity authentication according to an embodiment of the present invention. Those skilled in the art will understand that the reserved car taking device 3 based on identity authentication (hereinafter, referred to as the reserved car taking device 3) according to the present embodiment may be used to implement the method technical solution described in the above embodiments shown in fig. 1 and fig. 2.
Specifically, referring to fig. 3, the reserved car taking device 3 according to the present embodiment may include: the receiving module 31 is configured to receive vehicle taking request information, where the vehicle taking request information includes reservation information and a real-time human face image of a vehicle taking person; the acquisition module 32 is configured to acquire a pre-stored face image of the reservation person according to the reservation information, where an association relationship between the reservation information and the pre-stored face image of the reservation person is established after identity authentication is performed in advance; a comparison and judgment module 33, configured to perform image recognition and comparison on the real-time face image of the person taking person and the pre-stored face image of the reservation person, respectively, so as to judge whether the person taking person and the reservation person coincide with each other; and the control module 34 allows the vehicle taker to take the vehicle to which the reservation information points when the judgment result shows that the vehicle taker is in line with the reservation person.
For more details of the operation principle and the operation mode of the reserved car taking device 3, reference may be made to the description in fig. 1 and fig. 2, and details are not repeated here.
Further, the embodiment of the present invention also discloses a storage medium, on which computer instructions are stored, and when the computer instructions are executed, the technical solution of the method described in the embodiments shown in fig. 1 and fig. 2 is executed. Preferably, the storage medium may include a computer-readable storage medium such as a non-volatile (non-volatile) memory or a non-transitory (non-transient) memory. The storage medium may include ROM, RAM, magnetic or optical disks, etc.
Further, an embodiment of the present invention further discloses a terminal, which includes a memory and a processor, where the memory stores computer instructions capable of being executed on the processor, and the processor executes the technical solution of the method in the embodiment shown in fig. 1 and fig. 2 when executing the computer instructions. Preferably, the terminal may be a smart device.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (13)
1. An appointed car taking method based on identity authentication is characterized by comprising the following steps:
receiving vehicle taking request information, wherein the vehicle taking request information comprises reservation information and a real-time human face image of a vehicle taking person;
acquiring a pre-stored face image of a reservation person according to the reservation information, wherein the association relationship between the reservation information and the pre-stored face image of the reservation person is established after identity authentication in advance;
respectively carrying out image recognition and comparison on the real-time face image of the person taking person and the pre-stored face image of the reservation person so as to judge whether the person taking person and the reservation person are consistent;
and when the judgment result shows that the vehicle-taking person is consistent with the reservation person, allowing the vehicle-taking person to take the vehicle pointed by the reservation information.
2. The reserved vehicle taking method according to claim 1, wherein the process of establishing the association relationship between the reservation information and the pre-stored face image of the reservation person comprises:
receiving reservation request information, and judging whether an idle vehicle matched with the reservation request information exists or not, wherein the reservation request information comprises vehicle information of a vehicle requesting reservation, a vehicle taking request place and a vehicle taking request time period; before/at the same time/after,
receiving identity information of a requester who sends the reservation request information, and judging whether the requester has driving qualification or not according to the identity information;
when the judgment result shows that the matched free vehicle exists and the requester has the driving qualification, extracting a face image from the identity information as a pre-stored face image of the reservation person, and generating reservation information at least based on the vehicle information of the free vehicle;
and establishing an association relation between the reservation information and the pre-stored face image of the reservation person.
3. The reserved vehicle pickup method according to claim 2, wherein the identity information comprises: an identification card image and a driving license image; the determining whether the requestor has driving qualifications according to the identity information includes:
carrying out image recognition on the identity card image to obtain a first image recognition result;
performing real-name authentication on the applicant based on the first image recognition result;
when the real-name authentication is successful, carrying out image recognition on the driving license image to obtain a second image recognition result;
comparing the first image recognition result with the second image recognition result;
and if the comparison is consistent, determining that the requester has driving qualification.
4. The reserved vehicle taking method according to claim 2, further comprising:
and sending reservation success information in response to the establishment of the association relationship between the reservation information and the pre-stored face images of the reservation persons, wherein the reservation success information at least comprises vehicle information of the idle vehicles.
5. The reserved vehicle taking method according to claim 2, wherein the process of establishing the association relationship between the reservation information and the pre-stored face image of the reservation person further comprises:
when the judgment result shows that no matched free vehicle exists and the requester has driving qualification, determining an alternative vehicle according to the reservation request information, wherein at least one of a deviation between the vehicle information of the alternative vehicle and the vehicle information of the vehicle requesting reservation indicated by the reservation request information, a deviation between the available time period of the alternative vehicle and the requested vehicle taking time period indicated by the reservation request information, and a deviation between the vehicle taking place of the alternative vehicle and the requested vehicle taking place indicated by the reservation request information is within a preset tolerable error range;
sending first prompt information, wherein the first prompt information comprises vehicle information, available time periods and vehicle taking places of the alternative vehicles;
in response to receiving the acceptance instruction of the requester, generating the reservation information based on at least vehicle information of the alternative vehicle.
6. The reserved vehicle taking method according to claim 2, wherein the process of establishing the association relationship between the reservation information and the pre-stored face image of the reservation person further comprises:
when the judgment result shows that a plurality of matched idle vehicles exist, second prompt information is sent, wherein the second prompt information comprises vehicle information of the matched idle vehicles;
and in response to receiving a selection instruction of the requester, generating the reservation information at least based on the vehicle information of the idle vehicle selected by the requester.
7. The reserved car taking method according to claim 1, wherein the reserved information comprises a reserved car taking time period and a reserved car taking place; when the judgment result shows that the vehicle-taking person is consistent with the reservation person, before the vehicle-taking person is allowed to take the vehicle pointed by the reservation information, the method further comprises the following steps:
judging whether the time point of receiving the vehicle taking request information falls into the reserved vehicle using time period or not; at the same time/before/after,
judging whether the distance between the current position of the vehicle-taking person and the reserved vehicle-taking place is smaller than a preset threshold value or not;
the allowing the person taking the car to take the car pointed by the reservation information comprises the following steps:
and when the judgment result shows that the time point of the vehicle taking request information falls into the reserved vehicle taking time period and the distance between the current position of the vehicle taking person and the reserved vehicle taking place is smaller than a preset threshold value, allowing the vehicle taking person to take the vehicle pointed by the reserved information.
8. The reserved vehicle taking method according to claim 7, wherein the current position of the vehicle taker is determined according to a first GPS device associated with the vehicle taker, the reserved vehicle taking place is determined according to a second GPS device associated with the vehicle to which the reservation information points, and the preset threshold is determined according to the real-time accuracy of the first GPS device and the real-time accuracy of the second GPS device.
9. The reserved vehicle taking method according to claim 1, further comprising:
during driving, acquiring a real-time face image of a driver at preset intervals;
carrying out image recognition on the real-time face image of the driver, and comparing the real-time face image of the driver with the real-time face image of the person to be taken;
and sending warning information when the comparison result shows that the driver does not accord with the vehicle-taking person.
10. The reserved car taking method according to claim 1, wherein the allowing the car taker to take the car to which the reservation information is directed comprises:
and transferring the control authority of the automobile to intelligent equipment associated with the driver.
11. The utility model provides a reservation device of getting car based on authentication which characterized in that includes:
the system comprises a receiving module, a display module and a display module, wherein the receiving module is used for receiving vehicle taking request information, and the vehicle taking request information comprises reservation information and a real-time human face image of a vehicle taking person;
the acquisition module is used for acquiring a pre-stored face image of a reservation person according to the reservation information, wherein the association relationship between the reservation information and the pre-stored face image of the reservation person is established after identity verification is carried out in advance;
the comparison and judgment module is used for respectively carrying out image recognition and comparison on the real-time face image of the person taking person and the pre-stored face image of the reservation person so as to judge whether the person taking person and the reservation person are consistent;
and the control module allows the car taker to take the car pointed by the reservation information when the judgment result shows that the car taker is in line with the reservation person.
12. A storage medium having stored thereon computer instructions, wherein said computer instructions when executed perform the steps of the method of any of claims 1 to 10.
13. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, wherein the processor, when executing the computer instructions, performs the steps of the method of any one of claims 1 to 10.
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| CN201911012430.4A CN110852191A (en) | 2019-10-23 | 2019-10-23 | Reserved vehicle taking method and device based on identity verification, storage medium and terminal |
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| CN201911012430.4A CN110852191A (en) | 2019-10-23 | 2019-10-23 | Reserved vehicle taking method and device based on identity verification, storage medium and terminal |
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