CN110826435A - Method and device for identifying and verifying face in driving, vehicle-mounted equipment and storage medium - Google Patents
Method and device for identifying and verifying face in driving, vehicle-mounted equipment and storage medium Download PDFInfo
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- 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
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- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
A method, a device, a vehicle-mounted device and a storage medium for identifying and verifying a face in driving are provided, wherein the method for identifying and verifying the face in driving comprises the following steps: receiving a vehicle unlocking instruction, wherein the vehicle unlocking instruction comprises user information and is used for unlocking a vehicle; acquiring a user image corresponding to the user information from a server, and extracting user characteristics from the user image; calling image acquisition equipment to acquire a target image of a set area, and extracting target features from the target image; calculating a difference value between the user characteristic and the target characteristic, and when the difference value is smaller than a preset value, passing the verification of the user information; and feeding back the verified message to the server. By the method, the accuracy and the checking efficiency of user information checking can be considered when the test driving reservation is carried out.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for identifying and verifying a human face in driving, vehicle-mounted equipment and a storage medium.
Background
With the development of intelligent terminal technology and network technology, intelligent terminal technology is applied to vehicles in many cases to achieve various functions of unlocking the vehicles, monitoring the running states of the vehicles and the like. Before a user purchases a car, the user often needs to make a reservation for test driving, the traditional test driving reservation is that the user makes a reservation with a car selling unit through a network message or a telephone, when the reservation time is reached, the user arrives at a test driving address, information is checked manually, and when the information check is passed, the test driving can be conducted.
However, in the conventional test driving reservation method, the information of the test driving users needs to be checked manually, the checking efficiency is low, and when the number of the test driving users is large, the checking accuracy may be reduced.
Disclosure of Invention
The invention solves the technical problem of considering the accuracy and the checking efficiency of user information checking when the test driving appointment is carried out.
In order to solve the technical problem, an embodiment of the present invention provides a method for identifying and verifying a face during driving, where the method includes: receiving a vehicle unlocking instruction, wherein the vehicle unlocking instruction comprises user information and is used for unlocking a vehicle; acquiring a user image corresponding to the user information from a server, and extracting user characteristics from the user image; calling image acquisition equipment to acquire a target image of a set area, and extracting target features from the target image; calculating a difference value between the user characteristic and the target characteristic, and when the difference value is smaller than a preset value, passing the verification of the user information; and feeding back the verified message to the server.
Optionally, the number of the target images is at least one, and the extracting the target feature from the target image includes: respectively extracting face features from each target image, and removing the duplication of the extracted face features; and taking the face features after the duplication removal as the target features.
Optionally, the invoking the image capturing device to capture the target image of the set area includes: and when receiving an acquisition starting instruction, calling the image acquisition equipment, and acquiring a plurality of images in the set area as the target image according to a preset time interval.
Optionally, the preset time interval is distributed in a plurality of detection periods.
Optionally, the method further includes: when a change in the driving state of the vehicle is detected, a detection cycle is started.
Optionally, after calculating the difference between the user feature and the target feature, the method further includes: if the difference value is larger than or equal to the preset value, the target feature is sent to the server; receiving a verification message which is sent by the server and corresponds to the target characteristic; and verifying the user information according to the verification message.
Optionally, the method further includes: if the user information is not verified, generating an error prompt; and sending the error prompt to a management terminal.
The embodiment of the invention also provides a device for identifying and verifying the face in driving, which comprises: the unlocking instruction receiving module is used for receiving a vehicle unlocking instruction, wherein the vehicle unlocking instruction comprises user information and is used for unlocking a vehicle; the user characteristic extraction module is used for acquiring a user image corresponding to the user information from a server and extracting user characteristics from the user image; the target feature extraction module is used for calling image acquisition equipment to acquire a target image of a set area and extracting target features from the target image; the verification module is used for calculating the difference value between the user characteristic and the target characteristic, and judging that the user information passes verification when the difference value is smaller than a preset value; and the feedback module is used for feeding back the verified message to the server.
The embodiment of the invention also provides vehicle-mounted equipment which comprises a memory and a processor, wherein the memory is stored with computer instructions capable of running on the processor, and the processor executes the steps of any one of the methods when running the computer instructions.
An embodiment of the present invention further provides a storage medium, on which computer instructions are stored, and when the computer instructions are executed, the method of any one of the above-mentioned steps is performed.
The embodiment of the invention provides a face recognition verification method in driving, which comprises the following steps: receiving a vehicle unlocking instruction, wherein the vehicle unlocking instruction comprises user information and is used for unlocking a vehicle; acquiring a user image corresponding to the user information from a server, and extracting user characteristics from the user image; calling image acquisition equipment to acquire a target image of a set area, and extracting target features from the target image; calculating a difference value between the user characteristic and the target characteristic, and when the difference value is smaller than a preset value, passing the verification of the user information; and feeding back the verified message to the server. Compared with the prior art, in the driving face recognition verification method, when the vehicle-mounted equipment receives a vehicle unlocking instruction, the vehicle-mounted equipment acquires a user image from the server according to user information in the unlocking instruction, calls the image acquisition equipment on the vehicle to acquire a target image of a driver, and compares the user image with the target image in terms of characteristics so as to verify the user information on site. Under the scene that the user makes an appointment for pilot driving, pilot driving appointment and field information verification can be automatically integrated, so that the accuracy and the verification efficiency of user information verification are both considered during pilot driving appointment. Further, in consideration of the fact that the collected target users may be in a continuous motion state in actual driving, the face images of the multiple target users are collected to serve as the target images, the face features of the multiple target images are extracted, and the extracted features are subjected to de-duplication, so that more accurate target features are obtained, and accuracy of the target features can be improved.
Further, during actual image acquisition, the vehicle is not started after the vehicle is unlocked, but the vehicle-mounted device issues an acquisition starting instruction to the image acquisition device. The acquisition starting instruction can be triggered when the vehicle-mounted equipment detects that the vehicle starts to run, namely the vehicle starts to run, the driver can be determined to be seated in the driving seat, the face image of the driver can be acquired in the set area, and the image acquisition can be started at the moment. Therefore, invalid image acquisition caused by the fact that the driver is not in position during image acquisition is avoided.
Furthermore, whether the driver is a reservation driver or not can be continuously detected by setting a detection period, and the condition that the driver is changed in the midway is avoided.
Further, considering that the driver change is often accompanied by a change in the driving state of the vehicle, the detection cycle may be started in conjunction with the change in the driving state of the vehicle to continuously monitor whether the driver has changed.
Further, the target characteristics are sent to the server for the user information which is not verified by the vehicle-mounted equipment, and the server performs secondary verification, so that the accuracy of user information verification is improved.
Drawings
FIG. 1 is a schematic diagram illustrating an application of a face recognition verification method in driving according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for face recognition verification during driving according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a driving face recognition verification apparatus according to an embodiment of the present invention.
Detailed Description
As background art, in the prior art, the information of the test-driving users needs to be checked manually, the checking efficiency is low, and when the number of the test-driving users is large, the checking accuracy may be reduced.
In order to solve the technical problem, embodiments of the present invention provide a method, an apparatus, and a computer device for face recognition verification during driving. The method for identifying and verifying the face in driving comprises the following steps: receiving a vehicle unlocking instruction, wherein the vehicle unlocking instruction comprises user information and is used for unlocking a vehicle; acquiring a user image corresponding to the user information from a server, and extracting user characteristics from the user image; calling image acquisition equipment to acquire a target image of a set area, and extracting target features from the target image; calculating a difference value between the user characteristic and the target characteristic, and when the difference value is smaller than a preset value, passing the verification of the user information; and feeding back the verified message to the server.
By the method for identifying and verifying the face in driving, the accuracy and the verification efficiency of user information verification can be considered when the pilot-driving appointment is carried out.
The method for identifying and verifying the face in driving provided by the embodiment of the invention can be applied to the application environment shown in figure 1. The in-vehicle device 102 communicates with the server 104 via a network, and the user terminal 106 communicates with the server 104 via a terminal. When a user wants to reserve a test-driving, a reservation notice can be sent to the server 104 through the user terminal 106, the server 104 matches the test-driving vehicle for the user, and the position of the test-driving vehicle is sent to the user terminal 106. The server 104 transmits the reservation information of the user to the in-vehicle apparatus 102 of the reserved vehicle. When the reserved time is reached, the user unlocks the target vehicle through the user terminal 106, the target vehicle enters the test driving of the target vehicle, and the vehicle-mounted device 102 can automatically check the information of the user. The On-Board device 102 is a device mounted On a vehicle, and may be an On-Board Diagnostics (OBD) or the like. The server 104 may be a stand-alone server or a server cluster composed of multiple servers. The user terminal 106 may be, but is not limited to, various personal computers, notebook computers, smart phones, and tablet computers.
In order to make the aforementioned objects, features and advantages of the embodiments of the present invention more comprehensible, specific embodiments accompanied with figures are described in detail below.
Referring to fig. 2, fig. 2 provides a schematic flow chart of a face recognition verification method in driving according to an embodiment, which may specifically include the following steps:
step S202, a vehicle unlocking instruction is received, wherein the vehicle unlocking instruction comprises user information, and the vehicle unlocking instruction is used for unlocking the vehicle.
The vehicle unlocking instruction is an instruction for unlocking a target vehicle where the vehicle-mounted equipment is located, and the vehicle unlocking instruction can be sent to the vehicle by a user terminal, for example, the user sends the vehicle unlocking instruction through an APP installed on terminals such as a vehicle connection program or a vehicle key of a mobile phone. The vehicle unlocking instruction should include user information for unlocking the vehicle, and the user information may include information for representing the user identity, such as identification card information, driver license information, or a device code of the user terminal. After the vehicle-mounted device receives the vehicle unlocking instruction, the face recognition verification method in the embodiment is started.
Step S204, obtaining a user image corresponding to the user information from a server, and extracting user characteristics from the user image.
When a vehicle unlocking instruction is received, a user image uploaded to the server by a user is acquired from the server, and the user image is an image used for identifying the identity of the user on site, such as an identity card photo, a driving license photo or a self-photographing of the user. And after the user image is acquired, extracting the user characteristics representing the user image from the user image to be used as the reference characteristics of the user.
The user features may be, for example, facial features extracted from the user image, muscle features, and the like. The user image can preferably select a self-shot photo of the user, and the self-shot photo can reflect the recent face condition of the user by comparing the identity card photo and the driving photo, so that the verification accuracy is higher.
Further, a feature extraction model can be trained according to a large number of face image samples, and user features in the user image can be extracted through the model.
And step S206, calling image acquisition equipment to acquire a target image of a set area, and extracting target features from the target image.
The image capturing device is a device that is provided inside the vehicle and captures a face image of a user entering the vehicle, and may be a camera or the like. The image acquisition equipment is connected with the vehicle-mounted equipment, and the vehicle-mounted equipment can control the image acquisition equipment to acquire images. The setting area is a face area of a user entering the vehicle, and the acquisition area of the image acquisition device can be set as a driving area so as to acquire a face image of the user sitting in the driving area as a target image.
After the target image is obtained, facial features representing the current driver are extracted from the target image and serve as target features. The target feature corresponds to a user feature, and may be a facial feature extracted from the target image, a muscle feature, or the like. After the target features are extracted, only the target features, not the target images, are stored and transmitted, so that the face images of the users are avoided being used, and the information of the users is protected. Likewise, a feature extraction model may be used to extract target features in the target image.
And step S208, calculating a difference value between the user characteristic and the target characteristic, and when the difference value is smaller than a preset value, verifying the user information.
And after the target characteristic is obtained, comparing the target characteristic with the user characteristic, and calculating a difference value. Specifically, the difference between the features may be calculated respectively, and weighted statistics may be performed according to a set rule to obtain the difference between the user feature and the target feature. When the difference value is smaller than the preset value, the user image and the target image can be judged to be the same person, namely the user who makes the appointment and the driving user are the same person, and the user information is verified to be passed.
And step S210, feeding back the verified message to the server.
When the vehicle-mounted equipment passes the user information verification of the driver of the vehicle, the verification passing message is sent to the server, so that the server records the current driving verification condition.
The driving face identification verification method can be applied to the vehicle-mounted device 102 in fig. 1. According to the method, when the vehicle-mounted equipment receives a vehicle unlocking instruction, the vehicle-mounted equipment acquires a user image from the server according to user information in the unlocking instruction, calls the image acquisition equipment on the vehicle to acquire a target image of a driver, and compares the user image with the target image in terms of characteristics so as to verify the user information on site.
In the scene that a user makes a reservation for driving test, when the user makes a reservation for driving test, the user initiates a reservation request to the server through the APP of the mobile phone terminal, the reservation request comprises driving test time, a driving test vehicle type and user information, the user information comprises a user image, the reservation is successful, and the server returns the position of the driving test vehicle and unlocking information for unlocking the driving test vehicle to the mobile phone terminal of the user. And when the reserved time is reached, the user arrives at the position of the test driving vehicle, and a vehicle unlocking instruction is sent to the test driving vehicle through the mobile phone terminal so as to unlock the test driving vehicle. After the test driving vehicle receives the vehicle unlocking instruction, the vehicle-mounted equipment identifies user information in the vehicle unlocking instruction, downloads a corresponding user image from the server according to the user information, collects a target image of the face position of a driver, extracts the face characteristics of the user image and the target image to judge whether the user image and the target image are the same person, if the user image and the target image are the same person, the user information is verified to be passed, namely the driver who tries to drive to the field is a reservation person, and therefore field information verification during test driving is achieved. Therefore, the pilot-driven appointment and the field information verification can be automatically integrated, and the accuracy and the verification efficiency of user information verification are considered when the pilot-driven appointment is carried out.
In an embodiment, the number of the target images is at least one, please continue to refer to fig. 2, and the step S206 in fig. 2 may extract the target feature from the target image, and may include: respectively extracting face features from each target image, and removing the duplication of the extracted face features; and taking the face features after the duplication removal as the target features.
Since the target image is an image acquired during actual driving, the target image may not cover all faces of the driver due to movement of the person, and the target feature is incomplete. For example, when the side face of the driver faces the set area, the target image acquired by the image acquisition device is the side face image of the driver. In order to solve the problem, images in a set area can be collected for multiple times, multiple target images are obtained, and facial features in the multiple target images are extracted and deduplicated to obtain target features.
Optionally, after the facial features of a plurality of target images are extracted, the operation of removing the duplicate of the target images can be implemented through the following operations: the face is partitioned, the face area where the extracted face features are located is identified, the features of the same face area extracted from different images are used as the repeated features, and only one of the repeated features is reserved. Wherein the face can be partitioned according to the five sense organs.
In the embodiment, in consideration of the fact that the collected target users may be in a continuous motion state in actual driving, the face images of the multiple target users are collected to serve as the target images, the face features of the multiple target images are extracted, and the extracted features are subjected to duplication elimination, so that more accurate target features are obtained, and the accuracy of the target features can be improved.
In one embodiment, with continuing reference to fig. 2, step S206 in fig. 2 calls the image capturing device to capture the target image of the set area, which may include: and when receiving an acquisition starting instruction, calling the image acquisition equipment, and acquiring a plurality of images in the set area as the target image according to a preset time interval.
The acquisition starting instruction is an instruction for controlling the image acquisition equipment to start image acquisition and is triggered by the vehicle-mounted equipment. The start acquisition instruction may be triggered when the in-vehicle device detects that the vehicle starts running. For example, when the vehicle-mounted device monitors data such as voltage and rotating speed of the vehicle, when the data changes, it can be determined that the vehicle starts to operate, the vehicle-mounted device generates a collection starting instruction and sends the collection starting instruction to the image collection device, so that the image collection device starts to collect images of the set area, and when the image collection device collects the images, a plurality of images of the set area can be collected according to a preset time interval. The preset time interval is set for the image acquisition equipment to acquire images in the set area at a frequency, and can be set according to acquisition requirements, such as acquisition once every 5 seconds. The preset time interval is 5 seconds.
In this embodiment, during actual image acquisition, the vehicle is not started after the vehicle is unlocked, but the vehicle-mounted device issues an acquisition start instruction to the image acquisition device. The acquisition starting instruction can be triggered when the vehicle-mounted equipment detects that the vehicle starts to run, namely the vehicle starts to run, the driver can be determined to be seated in the driving seat, the face image of the driver can be acquired in the set area, and the image acquisition can be started at the moment. Therefore, the situation that the driver is not in position during image acquisition, and invalid image acquisition is caused is avoided.
Optionally, the preset time interval is distributed in a plurality of detection periods.
The detection period is a set period for authenticating the driver, and for example, 5 minutes or half an hour may be set as one detection period. The preset time interval for the image acquisition equipment to acquire the images of the set area can be distributed in a plurality of detection periods, namely, the images of a plurality of set areas are acquired at intervals, namely, according to the preset time interval.
In this embodiment, by setting the detection period, whether the driver is a reservation driver can be continuously detected, and the situation that the driver is changed in the middle is avoided.
Optionally, the trigger mode of the detection period may be: when a change in the driving state of the vehicle is detected, a detection cycle is started.
Usually, the driver's change occurs when the driver resumes driving after stopping midway, and a detection cycle may be triggered, in which images of the set area are acquired at preset time intervals. In addition, in addition to a change in driving state such as resuming driving after a stop in the middle of driving, a change in driving state such as sudden acceleration or deceleration may trigger the start of one detection cycle.
In the embodiment, it is considered that the driver change is often accompanied by the change of the vehicle driving state, so that the detection cycle can be started in combination with the change of the vehicle driving state to continuously monitor whether the driver changes.
In an embodiment, with continuing reference to fig. 2, after calculating the difference between the user feature and the target feature in step S208 in fig. 2, the method may further include: if the difference value is larger than or equal to the preset value, the target feature is sent to the server; receiving a verification message which is sent by the server and corresponds to the target characteristic; and verifying the user information according to the verification message.
When the difference value calculated by the vehicle-mounted equipment is larger than or equal to the preset value, the vehicle-mounted equipment judges that the user information verification is not passed, the vehicle-mounted equipment can send the target characteristics to the server end for secondary verification, the server compares the target characteristics with the user characteristics more carefully, judges whether the target characteristics and the user characteristics correspond to the same user, and sends a verification message to the vehicle-mounted equipment if the target characteristics and the user characteristics correspond to the same user according to the result of the secondary verification at the server end, and the vehicle-mounted equipment passes the user information verification.
In addition, when the server fails in secondary verification, the fact that the user information is not verified is determined, and the server returns a result that the user information is not verified to the vehicle-mounted equipment.
In the embodiment, the target characteristics are sent to the server for the user information which is not verified by the vehicle-mounted equipment, and the server performs secondary verification, so that the accuracy of user information verification is improved.
In one embodiment, the in-driving face recognition verification method may further include: if the user information is not verified, generating an error prompt; and sending the error prompt to a management terminal.
The error prompt is used for notifying the management terminal that the user information of the current driver fails to be verified, and can be an error prompt for judging that the driver is not a reserved person by the vehicle-mounted equipment or an error prompt for changing the driver in the vehicle driving process. The management terminal can be a mobile phone or a personal computer of a pilot-driven field worker, and the pilot-driven field worker verifies the error prompt, removes the error prompt and the like.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The embodiment of the present invention further provides a device for identifying and verifying a face during driving, please refer to fig. 3, where the device includes an unlocking instruction receiving module 100, a user feature extraction module 200, a target feature extraction module 300, a verification module 400, and a feedback module 500, where:
the unlocking instruction receiving module 100 is configured to receive a vehicle unlocking instruction, where the vehicle unlocking instruction includes user information, and the vehicle unlocking instruction is used to unlock a vehicle.
The user feature extraction module 200 is configured to obtain a user image corresponding to the user information from a server, and extract a user feature from the user image.
The target feature extraction module 300 is configured to invoke an image capturing device to capture a target image of a set area, and extract a target feature from the target image.
The verification module 400 is configured to calculate a difference between the user characteristic and the target characteristic, and determine that the user information is verified when the difference is smaller than a preset value.
The feedback module 500 is configured to feed back the verified message to the server.
In one embodiment, please continue to refer to fig. 3, the number of the target images is at least one, and the user feature extraction module 200 further includes:
and the feature duplication removing unit is used for extracting the human face features from each target image respectively and removing the duplication of the extracted human face features.
And the characteristic acquisition unit is used for taking the face characteristic after the duplication removal as the target characteristic.
In an embodiment, referring to fig. 3, the target feature extraction module 300 is further configured to, when receiving an acquisition start instruction, invoke the image acquisition device to acquire a plurality of images of the set area as the target image at preset time intervals.
In an embodiment, the preset time interval is distributed in a plurality of detection periods, and the driving face recognition verification apparatus may further include: the detection period starting module is used for starting a detection period when the vehicle driving state change is detected.
In one embodiment, the driving face identification verification apparatus may further include:
and the notification module is used for sending the target characteristics to the server if the difference value is greater than or equal to the preset value.
And the verification module is used for receiving a verification message which is sent by the server and corresponds to the target characteristic.
And the verification passing module is used for verifying the user information according to the verification message.
In one embodiment, the driving face identification verification apparatus may further include:
and the error prompt generation module is used for generating an error prompt if the user information is not verified.
And the error feedback module is used for sending the error prompt to the management terminal.
The embodiment of the invention also provides vehicle-mounted equipment which comprises a memory and a processor, wherein the memory is stored with computer instructions capable of running on the processor, and the processor executes the steps of the method for identifying and verifying the face in driving provided by any one of the above embodiments of the invention when running the computer instructions. Referring to fig. 1, the vehicle-mounted device may apply the vehicle-mounted device 102 in fig. 1 to execute the steps of the method for identifying and verifying the driving face according to the embodiment.
The embodiment of the present invention further provides a storage medium, where the storage medium is a non-volatile storage medium or a non-transitory storage medium, and computer instructions are stored on the storage medium, and when the computer instructions are executed, the steps of the method for identifying and verifying a face in driving provided by any of the above embodiments of the present invention are executed.
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, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. 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).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for identifying and verifying a face in driving is characterized by comprising the following steps:
receiving a vehicle unlocking instruction, wherein the vehicle unlocking instruction comprises user information and is used for unlocking a vehicle;
acquiring a user image corresponding to the user information from a server, and extracting user characteristics from the user image;
calling image acquisition equipment to acquire a target image of a set area, and extracting target features from the target image;
calculating a difference value between the user characteristic and the target characteristic, and when the difference value is smaller than a preset value, passing the verification of the user information;
and feeding back the verified message to the server.
2. The method of claim 1, wherein the target image is at least one, and wherein extracting the target feature from the target image comprises:
respectively extracting face features from each target image, and removing the duplication of the extracted face features;
and taking the face features after the duplication removal as the target features.
3. The method of claim 1, wherein the invoking an image capturing device to capture a target image of a set area comprises:
and when receiving an acquisition starting instruction, calling the image acquisition equipment, and acquiring a plurality of images in the set area as the target image according to a preset time interval.
4. The method according to claim 3, wherein the predetermined time interval is distributed over several detection periods.
5. The method of claim 4, further comprising:
when a change in the driving state of the vehicle is detected, a detection cycle is started.
6. The method of claim 1, wherein after calculating the difference between the user feature and the target feature, further comprising:
if the difference value is larger than or equal to the preset value, the target feature is sent to the server;
receiving a verification message which is sent by the server and corresponds to the target characteristic;
and verifying the user information according to the verification message.
7. The method of any one of claims 1 to 6, further comprising:
if the user information is not verified, generating an error prompt;
and sending the error prompt to a management terminal.
8. An in-driving face recognition verification apparatus, characterized in that the apparatus comprises:
the unlocking instruction receiving module is used for receiving a vehicle unlocking instruction, wherein the vehicle unlocking instruction comprises user information and is used for unlocking a vehicle;
the user characteristic extraction module is used for acquiring a user image corresponding to the user information from a server and extracting user characteristics from the user image;
the target feature extraction module is used for calling image acquisition equipment to acquire a target image of a set area and extracting target features from the target image;
the verification module is used for calculating the difference value between the user characteristic and the target characteristic, and judging that the user information passes verification when the difference value is smaller than a preset value;
and the feedback module is used for feeding back the verified message to the server.
9. An in-vehicle device 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 7.
10. 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 7.
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