CN112883417A - New energy automobile control method and system based on face recognition and new energy automobile - Google Patents
New energy automobile control method and system based on face recognition and new energy automobile Download PDFInfo
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Abstract
The scheme relates to a new energy automobile control method and system based on face recognition and a new energy automobile, and aims to solve the problem that a large amount of user face information is leaked due to the fact that face information of a vehicle user is stored on a cloud platform. The method comprises the following steps: acquiring a real-time face image acquired by a face image acquisition device on a vehicle; comparing the real-time face image with a preset face image which is stored locally in advance; if a preset face image which is the same as the real-time face image exists, sending a request for logging in a corresponding target vehicle account to the cloud platform; after logging in a target vehicle account, automatically adjusting the seat position, the steering wheel position and/or the rearview mirror position of the vehicle according to the associated setting information recorded in the target vehicle account, and displaying specific privacy information carried in the target vehicle account; one or more preset face images pre-stored locally all have associated user IDs and are issued by the cloud platform.
Description
Technical Field
The invention relates to the technical field of new energy automobiles, in particular to a new energy automobile control method and system based on face recognition and a new energy automobile.
Background
The driving function of the new energy automobile is relatively mature, and the riding comfort and the use convenience of a user of the new energy automobile become an important part of attention at present, particularly the user experience in a cockpit. With the rapid development of the internet and the 5G technology, a plurality of intelligent products are applied to the interior of a cockpit of a new energy automobile, such as AR-HUD, multi-screen interconnection, an intelligent robot, fatigue detection, gesture recognition, an intelligent seat and the like, and the configuration and related functions greatly improve the use experience of a user and are sufficient in science and technology. At present, a user wants to realize personalized associated settings such as seat adjustment and rearview mirror adjustment in a vehicle, the personalized associated settings can be obtained through face recognition, personalized vehicle control functions such as different seat positions and rearview mirror positions are associated according to different face IDs, when the user passes the face recognition, the personalized vehicle control functions such as the seat positions and the rearview mirror positions can be adjusted to the positions which are accustomed to the current user, manual operation of the user is not needed, and the use convenience of the user is improved. However, at present, after a vehicle account logs in, the privacy information related to the account can be checked, and the privacy data is not well protected. In addition, currently, a face is registered through a mobile terminal, and face features need to be extracted and compared through a cloud platform during face registration, that is, privacy information of face image information after face registration is stored on a cloud platform end, and if the cloud platform storing the face image information is broken, the problem of face image information leakage of a large number of users may occur.
Disclosure of Invention
The embodiment of the invention provides a new energy automobile control method and system based on face recognition and a new energy automobile, and aims to solve the problem that a large amount of user face information is leaked due to the fact that face information of a vehicle user is stored on a cloud platform.
The technical scheme of the invention is as follows:
the embodiment of the invention provides a new energy automobile control method based on face recognition, which comprises the following steps:
the method comprises the steps that a vehicle-mounted processor obtains a real-time face image collected by a face image collecting device carried on a vehicle;
the vehicle-mounted processor compares the real-time face image with one or more preset face images stored locally in advance in sequence;
if a preset face image which is the same as the real-time face image exists locally through comparison, the vehicle-mounted processor sends a request for logging in a corresponding target vehicle account to the cloud platform; after the target vehicle account is logged in, the vehicle-mounted processor automatically adjusts the seat position, the steering wheel position and/or the rearview mirror position of the vehicle according to the associated setting information recorded in the target vehicle account, and displays the specific privacy information carried in the target vehicle account;
if the comparison shows that a preset face image which is the same as the real-time face image does not exist locally, the vehicle-mounted processor refuses to log in the target vehicle account;
the cloud platform comprises a cloud platform, one or more preset face images, a cloud platform and a cloud platform, wherein the one or more preset face images stored in the local in advance all have associated user IDs, and the preset face images stored in the local in advance and the user IDs associated with the preset face images are issued by the cloud platform.
Preferably, the method further comprises:
and after the face image in the vehicle account information and the user ID associated with the face image are issued to the vehicle-mounted processor by the cloud platform, deleting the face image temporarily stored on the cloud platform.
Preferably, the face image temporarily stored on the cloud platform is provided by the user when the user performs face registration through the mobile terminal.
Preferably, the specific steps of the vehicle-mounted processor sending the request for logging in the corresponding vehicle account to the cloud platform are as follows:
the vehicle-mounted processor is used for sending a request for logging in a target vehicle account corresponding to a user ID to the cloud platform based on the user ID associated with the locally stored preset face image.
The embodiment of the invention also provides a new energy automobile control system based on face recognition, which comprises the following steps: the system comprises a vehicle-mounted processor and a human face image acquisition device which are carried on a vehicle; the onboard processor is configured to:
acquiring a real-time human face image acquired by a human face image acquisition device carried on a vehicle;
sequentially comparing the real-time face image with one or more preset face images stored locally in advance;
if a preset face image which is the same as the real-time face image exists locally through comparison, sending a request for logging in a corresponding target vehicle account to the cloud platform; after the target vehicle account is logged in, the vehicle-mounted processor automatically adjusts the seat position, the steering wheel position and/or the rearview mirror position of the vehicle according to the associated setting information recorded in the target vehicle account, and displays the specific privacy information carried in the target vehicle account; if the comparison shows that a preset face image which is the same as the real-time face image does not exist locally, the target vehicle account is refused to be logged in;
the cloud platform comprises a cloud platform, one or more preset face images, a cloud platform and a cloud platform, wherein the one or more preset face images stored in the local in advance all have associated user IDs, and the preset face images stored in the local in advance and the user IDs associated with the preset face images are issued by the cloud platform.
The embodiment of the invention also provides a new energy automobile which comprises the new energy automobile control system based on the face recognition.
The invention has the beneficial effects that:
the method comprises the steps that face registration of a vehicle account is carried out through a mobile phone which is in a connection relation with a new energy automobile in advance, after the face registration is successful, recognized face information is transmitted to a vehicle end in an encrypted mode to be stored, and when the face information of a current driver is recognized by the vehicle to be inconsistent with the face information stored in the vehicle, the vehicle starts an account privacy protection function. Because the face information of each vehicle user is stored at the corresponding vehicle end instead of the cloud platform end, even if the cloud platform is maliciously broken, the problem that a large amount of face information of the users is leaked can not occur.
According to the invention, the face registration is carried out on the mobile terminal such as a mobile phone, and the privacy protection function is started by the face recognition of the vehicle end. When the face is registered through the mobile terminal, the face image during face registration is encrypted and transmitted to the vehicle end through the cloud platform, the convenience of face function use is provided for a user, meanwhile, the face data is not stored and processed through the cloud platform, and the risk of face information leakage is greatly reduced. When the vehicle end starts the account privacy protection function, data related to privacy information in functions such as online music, online video, navigation and face payment are hidden and cannot be checked and used, and the privacy data of a user are protected.
Drawings
FIG. 1 is a schematic control flow diagram of the present invention;
FIG. 2 is a schematic control flow chart of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Referring to fig. 1 and 2, an embodiment of the present invention provides a new energy vehicle control method based on face recognition, which specifically includes the following steps:
the method comprises the following steps of (I) registering a face, wherein the face registration is mainly implemented when a user needs to register new face information on a vehicle, and specifically comprises the following steps:
step A1, triggering face recognition registration through a mobile phone APP: and downloading and installing the application program app of the vehicle enterprise where the vehicle is located on the mobile terminal, and prompting the information for face recognition registration after the application program enters. Step A2, guiding the user to take a face photo: after the user operates according to the prompt of the mobile terminal, the application program outputs a guide prompt, and after the user makes corresponding actions according to the guide prompt, the user face is shot and a face photo is generated.
And step A3, judging whether the collected face picture meets the registration requirement. The registration requirement can be determined according to actual requirements, for example, the collected face photos can completely and clearly reflect the five sense organs of the face. The mobile phone can determine whether the collected face photos completely contain the face five sense organs or not according to image feature extraction, and if so, the collected face photos are determined to meet the registration requirements.
When the judgment is "no", it goes back to step a2 to continue to guide the user to take a picture.
When the judgment is "yes", the process proceeds to step a 4.
In the step A4, the mobile phone APP prompts the user that the registration is successful, the collected face photos of the user are encrypted and uploaded to the cloud platform, and the step A4 enters the step A5 after the uploading is finished.
In the step A5, the cloud platform wakes up the vehicle, issues the picture and the user ID of the current user to the vehicle, and deletes the face image picture stored in the body after the picture is issued.
In step a6, the vehicle acquires and decrypts the photograph, and then associates the acquired face image with the acquired user ID.
In step a7, the vehicle stores the associated face image and user ID in a face library local to the vehicle, and the face registration process ends.
(II) face authentication vehicle account login:
in step a1, a face image acquisition device mounted on the vehicle performs face detection.
In step a2, the onboard processor determines whether the face image capture device detects a face.
When the judgment result is "no", the process goes back to step a1 to continue to execute the face image acquisition device to detect the face.
When the judgment is "yes", the process proceeds to step a 3.
In step a3, the onboard processor extracts image feature information from the real-time face image captured by the face image capture device, compares the extracted image feature information with a preset face image database pre-stored on the vehicle, and determines whether a preset face image consistent with the image features of the real-time face image exists in the preset face image database pre-stored. The preset face image database comprises a face image acquired from the cloud platform and a user ID related to the face image.
In step A4, it is determined whether the comparison is successful.
When the judgment is "yes", the process proceeds to step a 5.
When the judgment is "no", the process proceeds to step a 6.
In step a5, the vehicle processor prompts "face authentication is successful" through voice, sends a request for accessing the vehicle account to the cloud platform, and after logging in the target vehicle account, the vehicle processor automatically adjusts the seat position, the steering wheel position and/or the rearview mirror position of the vehicle according to the associated setting information recorded in the target vehicle account, and displays the specific privacy information carried in the target vehicle account.
In step a6, the vehicle processor prompts "face authentication failed" through voice and refuses to log in the vehicle account, the vehicle processor starts the account privacy protection function, and the vehicle processor jumps to step a7 after face authentication fails.
In step a7, the data related to the privacy information in the functions of online music, online video, face payment, etc. of the vehicle account information are all hidden and cannot be viewed and used.
The characteristic privacy information in this embodiment includes: and data related to privacy information in functions of online music, online video, face payment and the like under the current vehicle account.
The embodiments described above describe only some of the one or more embodiments of the present invention, but those skilled in the art will recognize that the invention can be embodied in many other forms without departing from the spirit or scope thereof. Accordingly, the present examples and embodiments are to be considered as illustrative and not restrictive, and various modifications and substitutions may be made therein without departing from the spirit and scope of the present invention as defined by the appended claims.
Claims (6)
1. A new energy automobile control method based on face recognition is characterized by comprising the following steps:
the method comprises the steps that a vehicle-mounted processor obtains a real-time face image collected by a face image collecting device carried on a vehicle;
the vehicle-mounted processor compares the real-time face image with one or more preset face images stored locally in advance in sequence;
if a preset face image which is the same as the real-time face image exists locally through comparison, the vehicle-mounted processor sends a request for logging in a corresponding target vehicle account to the cloud platform; after the target vehicle account is logged in, the vehicle-mounted processor automatically adjusts the seat position, the steering wheel position and/or the rearview mirror position of the vehicle according to the associated setting information recorded in the target vehicle account, and displays the specific privacy information carried in the target vehicle account;
if the comparison shows that a preset face image which is the same as the real-time face image does not exist locally, the vehicle-mounted processor refuses to log in the target vehicle account;
the cloud platform comprises a cloud platform, one or more preset face images, a cloud platform and a cloud platform, wherein the one or more preset face images stored in the local in advance all have associated user IDs, and the preset face images stored in the local in advance and the user IDs associated with the preset face images are issued by the cloud platform.
2. The method of claim 1, further comprising:
and after the face image in the vehicle account information and the user ID associated with the face image are issued to the vehicle-mounted processor by the cloud platform, deleting the face image temporarily stored on the cloud platform.
3. The method of claim 2, wherein the face image temporarily stored on the cloud platform is provided by a user during face registration via the mobile terminal.
4. The method according to claim 1, wherein the specific step of the on-board processor sending the request for logging in the corresponding vehicle account to the cloud platform is:
the vehicle-mounted processor is used for sending a request for logging in a target vehicle account corresponding to a user ID to the cloud platform based on the user ID associated with the locally stored preset face image.
5. The utility model provides a new energy automobile control system based on face identification which characterized in that includes: the system comprises a vehicle-mounted processor and a human face image acquisition device which are carried on a vehicle; the onboard processor is configured to:
acquiring a real-time human face image acquired by a human face image acquisition device carried on a vehicle;
sequentially comparing the real-time face image with one or more preset face images stored locally in advance;
if a preset face image which is the same as the real-time face image exists locally through comparison, sending a request for logging in a corresponding target vehicle account to the cloud platform; after the target vehicle account is logged in, the vehicle-mounted processor automatically adjusts the seat position, the steering wheel position and/or the rearview mirror position of the vehicle according to the associated setting information recorded in the target vehicle account, and displays the specific privacy information carried in the target vehicle account; if the comparison shows that a preset face image which is the same as the real-time face image does not exist locally, the target vehicle account is refused to be logged in;
the cloud platform comprises a cloud platform, one or more preset face images, a cloud platform and a cloud platform, wherein the one or more preset face images stored in the local in advance all have associated user IDs, and the preset face images stored in the local in advance and the user IDs associated with the preset face images are issued by the cloud platform.
6. A new energy automobile, characterized by comprising the new energy automobile control system based on human face recognition in claim 5.
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