CN114120390A - Instrument parameter self-adaption system and method based on face recognition, identity recognition system and vehicle - Google Patents
Instrument parameter self-adaption system and method based on face recognition, identity recognition system and vehicle Download PDFInfo
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Abstract
The invention relates to an instrument parameter self-adapting system and method based on face recognition, an identity recognition system and a vehicle, wherein the instrument parameter self-adapting system comprises a facial information acquisition device, an identity recognition system, a storage module and a processor module, the facial information acquisition device is used for acquiring facial images of a driver and transmitting the acquired facial images to the identity recognition system in real time, the identity recognition system analyzes the facial images to acquire the facial images and the facial features of all sample pictures, the acquired facial features of the facial images are compared with the facial features of all sample pictures one by one to obtain comparison results, the comparison results are sent to the processor module, and the processor module calls instrument parameters matched with the processor module from the storage module according to the facial recognition results and displays a matched instrument interface. The invention improves the success rate of identity recognition, and matches the instrument information with the current driving identity, thereby realizing the self-adaptation of the instrument information under different driver conditions.
Description
Technical Field
The invention belongs to the technical field of vehicle engineering, and particularly relates to a face recognition-based instrument parameter self-adaption system and method, an identity recognition system and a vehicle.
Background
The automobile has become a necessity in life, automobile instruments are more and more diversified, and because the same automobile can be driven by different people, every person can set different instrument information layout, interface style preference, entertainment system, ADAS, cruise parameters and the like, however, the current automobile instrument can only memorize the parameter result of the current driver, the instrument parameters of other drivers cannot be traced, the personalized automatic adaptation can not be carried out by identifying the identity of the driver, the driver needs to manually adjust the favorite style and the instrument parameters suitable for the driver every time of replacement, and the operation efficiency is low.
In addition, the existing identification modes in the automobile industry include intelligent keys, fingerprint identification, mobile phone Bluetooth keys, login IDs and the like, identification needs to be performed by means of media or manual operation, and physical media can be transmitted in hands of multiple people, so that the identification accuracy of the driving identity is not high, and the identified identity is not consistent with the driver easily. Usually, the key holder and the driver are not the same person, and the login ID account can also be shared by multiple persons, so that the recognized identity is not consistent with the actual driver.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a system and a method for self-adapting instrument parameters based on face recognition, an identity recognition system and a vehicle, which improve the success rate of identity recognition, match instrument information with the current driving identity and realize the self-adaptation of the instrument information under different driver conditions.
The technical scheme of the invention is realized as follows: the invention discloses an identity recognition system based on face recognition, which comprises a face information acquisition device and an identity recognition system, wherein the face information acquisition device is used for acquiring a face image of a driver and transmitting the acquired face image to the identity recognition system in real time, and the identity recognition system is used for receiving and storing the face image and carrying out face recognition.
Further, the identity recognition system receives the face image transmitted by the face information acquisition device, extracts the face features of the face image, compares the extracted face features of the face image with the face features of each sample picture one by one, selects the maximum comparison result value as the final comparison result, the result value is a rational number between 0 and 1 and comprises 0 and 1, the comparison result is 0 to indicate that the two face features have no same point, the comparison result is 1 to indicate that the two face features are completely the same, compares the selected maximum comparison result value with a preset threshold value A, if the maximum comparison result value is not less than A, indicates that the identity of the driver is recognized, i.e. the comparison is successful, if the maximum comparison result value is 0, indicates that the face information acquisition device does not capture the face of the driver, i.e. the face image acquisition fails, if the maximum comparison result value is not 0, if the comparison result is less than A, the comparison is unsuccessful if the identification fails, and the facial image acquired by the facial information acquisition device is stored in the identification system as a sample picture.
Further, the identity recognition system decodes the facial image transmitted by the facial information acquisition device, generates the original image data RGB, and then extracts the facial features of the facial image.
Furthermore, the facial information acquisition device adopts double cameras, two driver facial images are acquired through the double cameras, the facial features of the two driver facial images are sequentially acquired, the facial features of the two driver facial images are respectively compared with the facial features of each group of sample pictures correspondingly, two comparison result values can be obtained after each comparison, the average value of the two comparison result values is calculated, and the largest average value is selected to serve as the final comparison result after the comparison with all the sample pictures is completed.
Furthermore, a driver face information sample picture library is built in the identity recognition system, the picture libraries are generated by the face information acquisition device when the driver uses the vehicle for the first time, pictures in the sample picture library exist in a group form, each group of sample pictures is marked with different numbers, and one group of pictures represents a sample of one driver.
Further, facial information collection system includes the camera, the camera is installed on the steering wheel, and the shooting direction of camera is just to driving seat.
The invention also discloses an instrument parameter self-adaption system based on face recognition, which comprises a storage module, a processor module and the identity recognition system based on face recognition, wherein the identity recognition system is used for carrying out face recognition and sending a recognition result to the processor module, and the processor module calls instrument parameters matched with the storage module from the storage module according to the face recognition result and displays a matched instrument interface.
The invention also discloses a face recognition-based instrument parameter self-adapting method, which adopts the face recognition-based instrument parameter self-adapting system and comprises the following steps:
s1) after the driver starts the automobile, the facial information acquisition device acquires facial images of the driver and transmits the acquired facial images to the identity recognition system in real time;
s2) if the facial image acquisition fails, displaying a default instrument interface, and not storing the adjustment of the instrument parameters during driving; if the facial image is successfully acquired, analyzing the facial image by an identity recognition system to obtain the facial image and the facial features of each sample picture, comparing the obtained facial features of the facial image with the facial features of each sample picture one by one to obtain a comparison result of the facial image and each sample picture, if the comparison is successful, calling out instrument parameters matched with the identity from a storage module by a processor, displaying a matched instrument interface, and executing a step S3), if the comparison is not successful, prompting a driver whether to enter the identity, if the processor receives an identity-not-entering instruction, displaying a default instrument interface, and during driving, not storing the adjustment of the instrument parameters; if the processor receives an identity inputting instruction, entering an identity inputting system, inputting a facial image acquired by the facial information acquisition device as a sample picture into the identity recognition system, simultaneously displaying a default instrument interface, and executing the step S3);
s3), during driving, if the processor receives the instrument parameter adjusting instruction, adjusting the corresponding instrument parameter, matching the adjusted instrument parameter with the corresponding driver sample, and storing the matched instrument parameter in the storage module.
Furthermore, one or a group of sample pictures corresponds to one driver sample number, the driver sample number is stored in the storage module, the driver sample number is correspondingly matched with the instrument parameter, and the instrument parameter matched with the driver sample number is called according to the driver sample number.
Further, in step S3), if the parameter adjustment is not made during driving, the original meter parameter is retained, and if the meter parameter is adjusted during driving, the original meter parameter is replaced with the adjusted meter parameter.
The invention also discloses a vehicle which comprises the identity recognition system based on the face recognition or the instrument parameter self-adaption system based on the face recognition.
The invention has at least the following beneficial effects: the invention relates to an instrument parameter self-adapting system, which comprises a facial information acquisition device, an identity recognition system, a storage module and a processor module, wherein the facial information acquisition device is used for acquiring facial images of drivers, transmitting the acquired facial images to the identity recognition system in real time, analyzing the facial images by the identity recognition system to acquire the facial images and the face characteristics of all sample pictures, comparing the acquired facial characteristics of the facial images with the face characteristics of all sample pictures one by one to obtain a comparison result, sending the comparison result to the processor module, calling instrument parameters matched with the facial images from the storage module by the processor module according to the face recognition result, and displaying a matched instrument interface, the success rate of identity recognition is improved, the instrument information is matched with the current driving identity to realize the self-adapting of the instrument information under different driver conditions, through carrying out instrument self-adaptation to different drivers, reduced the driver to the frequent adjustment of instrument parameter, reduced operating load, improved driving safety nature. Identity information and instrument parameters of different drivers are stored in the database storage module, so that operation habits of users can be collected conveniently by the background, instrument parameters suitable for different sexes and age groups are designed, and loss assessment of vehicle body performance can be performed conveniently through driving habits.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a meter parameter self-adapting system based on face recognition according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for self-adapting a meter parameter based on face recognition according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a camera mounting position and a camera moving track according to an embodiment of the present invention;
fig. 4 is a schematic view of three-dimensional shooting angles of the camera for the upper, lower, left and right of the face of the driver.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
The embodiment of the invention provides an identity recognition system based on face recognition, which comprises a face information acquisition device and an identity recognition system, wherein the face information acquisition device is used for acquiring a face image of a driver and transmitting the acquired face image to the identity recognition system in real time, and the identity recognition system is used for receiving and storing the face image and carrying out face recognition.
Further, the identity recognition system receives the face image transmitted by the face information acquisition device, extracts the face features of the face image, compares the extracted face features of the face image with the face features of each sample picture one by one, selects the maximum comparison result value as the final comparison result, the result value is a rational number between 0 and 1 and comprises 0 and 1, the comparison result is 0 to indicate that the two face features have no same point, the comparison result is 1 to indicate that the two face features are completely the same, compares the selected maximum comparison result value with a preset threshold value A, if the maximum comparison result value is not less than A, indicates that the identity of the driver is recognized, i.e. the comparison is successful, if the maximum comparison result value is 0, indicates that the face information acquisition device does not capture the face of the driver, i.e. the face image acquisition fails, if the maximum comparison result value is not 0, if the comparison result is less than A, the comparison is unsuccessful if the identification fails, and the facial image acquired by the facial information acquisition device is stored in the identification system as a sample picture.
Furthermore, the facial information acquisition device adopts two cameras, two driver facial images are acquired through the two cameras, the facial features of the two driver facial images are sequentially acquired, the facial features of the two driver facial images are respectively compared with the facial features of each group of sample pictures (the pictures acquired by the same camera can be compared), two comparison result values can be obtained after each comparison, the average value of the two comparison result values is calculated, and the maximum average value is selected to serve as the final comparison result after the comparison with all the sample pictures is completed.
The face information acquisition device (double cameras) is used for acquiring a three-dimensional image of the face of the driver. The method comprises the steps that a collection device (double cameras) stores collected face images of a driver as pictures, the picture formats can be jpg, png and the like, the picture names are named according to collection time, meanwhile, due to the fact that the collection device is double cameras, the camera 1 collects generated pictures and fixedly adds 'l 1' to the tail of the named pictures, the camera 2 collects the generated pictures and fixedly adds 'l 2' to the tail of the named pictures, for example, the pictures named 20210510081020_1.jpg show that the camera 1 in the collection device collects the face of the driver in 10 minutes and 20 seconds at the time of 8 am on the 5-10 th day of 2021, and the pictures are generated. The pictures collected and generated by the collecting device are all transmitted to the identity recognition system in real time.
The identity recognition system decodes the face pictures transmitted by the face information acquisition device one by one, decodes the face pictures to generate original picture data RGB, and sequentially extracts the face features of the two pictures. The driver face information sample picture libraries are built in the identity recognition system, the picture libraries are generated by a collecting device when a driver uses a vehicle for the first time, pictures in the sample picture libraries exist in a group mode, each group of sample pictures are marked with different numbers, one group of pictures represents a sample of one driver, and each group of pictures comprises two pictures. The identity recognition system decodes, extracts and compares the sample pictures one by one after successfully decoding the facial pictures transmitted by the acquisition device, firstly decodes the sample pictures into RGB data, then extracts the facial features of the sample pictures, and finally compares the facial features to obtain a comparison result, wherein the result value is a rational number between 0 and 1 and comprises 0 and 1, the comparison result of 0 indicates that the two facial features have no same point, and the comparison result of 1 indicates that the two facial features are completely the same. It should be noted that, when comparing the face features, the images acquired by the cameras of the same acquisition device are compared, and since the acquisition device is a dual camera, each group of sample images can obtain two comparison results after comparison, and an average value of the two comparison results can be calculated as a final result of the group of sample images, if the face image acquired by the camera 1 in the acquisition device is compared with the second group of sample images to obtain a comparison result of 0.75, the face image acquired by the camera 2 in the acquisition device is compared with the second group of sample images to obtain a comparison result of 0.79, and the average value of 0.75 and 0.79 is 0.77, then 0.77 is the final comparison result of the second group of sample images and the face images acquired by the acquisition device at this time. And selecting the maximum comparison result value after the comparison with all the sample pictures is completed. The identity recognition system sets a fixed threshold value A, wherein A belongs to rational numbers between 0 and 1 and does not contain 0 and 1, if A takes a value of 0.70, the identity recognition system compares the maximum comparison result obtained by calculation from each group of sample pictures with A, if the comparison result value is not less than A, the identity of a driver is recognized, if the comparison result value is 0, the two cameras of the acquisition device do not snapshot the face of the driver, the acquisition device acquires the face again, if the comparison result value is not 0 but is less than A, the identity recognition fails, and the two pictures acquired by the acquisition device can be stored in the identity recognition system as a group of sample pictures.
Furthermore, a driver face information sample picture library is built in the identity recognition system, the picture libraries are generated by the face information acquisition device when the driver uses the vehicle for the first time, pictures in the sample picture library exist in a group form, each group of sample pictures is marked with different numbers, and one group of pictures represents a sample of one driver.
Further, referring to fig. 3 and 4, the facial information collecting device 2 includes a camera, which is installed on the front side of the steering wheel 1, and the shooting direction is opposite to the driving position, so as to ensure that the shot facial information of the person at the driving position is taken. Be equipped with the slip track on the steering wheel, the camera is installed on the slip track, and the camera can follow the slip track and remove for the different drivers' of adaptation angle of driving. The sliding track of the present embodiment is adapted to the shape of the steering wheel 1, and for example, the moving track of the face information collecting device 2 may be designed into an arc shape as required.
The invention can adjust the position of the camera by manual adjustment or by adopting a visual follow-up active adjustment mode. The scheme of the invention ensures that the face information acquisition angle of the camera can be adjusted, and the accuracy and the success rate of information acquisition are higher.
The invention accurately and efficiently acquires the three-dimensional images of the face of the driver at three-dimensional angles through the double cameras, thereby improving the image acquisition accuracy and success rate.
Example two
Referring to fig. 1, the embodiment of the invention further discloses a meter parameter self-adapting system based on face recognition, which comprises a storage module, a processor module and an identity recognition system based on face recognition as described in the first embodiment, wherein the identity recognition system is used for carrying out face recognition and sending a recognition result to the processor module, and the database storage module is used for storing a driver sample number and a meter parameter. And the processor module executes the information in the database according to the comparison result of the recognition system, calls the matched instrument parameters from the storage module according to the face recognition result and displays the matched instrument (intelligent combination instrument) interface.
After a driver starts an automobile, a facial information acquisition device acquires facial images of the driver;
inputting the collected facial image into an identity recognition system, and acquiring the facial features of the pictures collected by the collecting device and the facial features of each group of sample pictures in the system; comparing the facial features of the pictures collected by the collecting device with the facial features of each group of sample pictures in sequence to obtain the serial numbers of the driver samples meeting the requirements; the processor module calls the matched instrument parameters from the database through the sample serial number of the driver and displays the parameters on the instrument screen. And the parameters of the driver are readjusted in the driving process and are automatically stored in the database.
EXAMPLE III
Referring to fig. 1, the embodiment of the present invention further discloses a method for self-adapting parameters of an instrument (i.e., an intelligent combination instrument) based on face recognition, which adopts a system for self-adapting parameters of an instrument based on face recognition as described in the second embodiment, and includes the following steps:
(1) the driver starts the automobile, and the facial information acquisition automatically acquires the three-dimensional image of the face of the driver.
(2) a, when facial image acquisition fails, displaying a default instrument interface, and adjusting instrument parameters during driving without storing;
b. and if the facial image is successfully acquired, analyzing the facial image by the identity recognition system, sequentially acquiring the facial features of the facial image and the sample pictures, comparing the facial features with the facial features of the sample pictures one by one to obtain an average value of comparison results of the facial image and each group of sample pictures, and selecting a maximum value from all the average values.
(3) a, prompting a driver whether to input the identity if the maximum value of the comparison result is not 0 and is smaller than a threshold value A set by an identity recognition system;
displaying a default instrument interface if the identity is not input, and not storing the adjustment of the instrument parameters during driving;
the input identity enters an identity input system, two facial pictures acquired by the two cameras of the facial information acquisition device can become a group of sample picture input identity recognition system, a sample number is marked on the group of sample pictures, the sample numbers are stored in a database, a default instrument interface is displayed at the same time, the adjustment of the instrument parameters during driving is automatically stored, and if the parameter adjustment is not carried out, the parameters of the default instrument are matched with the identity for storage.
b. And if the identity comparison is successful, calling the instrument parameters matched with the identity from the database by the processor for interface display, automatically storing the adjustment of the instrument parameters during driving, and if the parameter adjustment is not carried out, keeping the original instrument information.
Furthermore, one or a group of sample pictures corresponds to one driver sample number, the driver sample number is stored in the storage module, the driver sample number is correspondingly matched with the instrument parameter, and the instrument parameter matched with the driver sample number is called according to the driver sample number.
Further, in step S3), if the parameter adjustment is not made during driving, the original meter parameter is retained, and if the meter parameter is adjusted during driving, the original meter parameter is replaced with the adjusted meter parameter.
Example four
The embodiment of the invention also discloses a vehicle which comprises the identity recognition system based on the face recognition in the first embodiment or the instrument parameter self-adaption system based on the face recognition in the second embodiment.
The invention provides a method for shooting the face of a driver in a three-dimensional mode through two cameras, which improves the success rate of facial information acquisition and identity recognition of the driver, and carries out instrument information matching with the current driving identity to realize self-adaptation of instrument information under different driver conditions. The double-camera face acquisition device improves the accuracy and the success rate of face acquisition and is suitable for any vehicle-mounted application related to face information. According to the invention, after the automobile is started, the driver sitting at the driving position carries out multi-angle face recognition, after the input identity is matched with the instrument information, the parameter adjustment of the driver to the instrument can be automatically memorized, the matched instrument information is automatically called out according to the identity recognition result in the next driving, the operation and use habits of the driver are reserved, and the problems that the traditional scheme can meet the individual requirements of different people and adapt to the driving habits of different drivers only by manually adjusting the instrument information when the driver is replaced are solved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. An identity recognition system based on face recognition is characterized in that: the face recognition system comprises a face information acquisition device and an identity recognition system, wherein the face information acquisition device is used for acquiring facial images of a driver and transmitting the acquired facial images to the identity recognition system in real time, and the identity recognition system is used for receiving and storing the facial images and recognizing human faces.
2. The face recognition based identification system of claim 1, wherein: the identity recognition system receives the facial image transmitted by the facial information acquisition device, extracts the facial features of the facial image, compares the extracted facial features of the facial image with the facial features of each sample picture one by one, selects the maximum comparison result value as the final comparison result, the result value is a rational number between 0 and 1 and comprises 0 and 1, the comparison result is 0 which indicates that the two facial features have no same point, the comparison result is 1 which indicates that the two facial features are completely the same, compares the selected maximum comparison result value with a preset threshold value A, if the maximum comparison result value is not less than A, the identity of the driver is identified, namely, the comparison is successful, if the maximum comparison result value is 0, the facial information acquisition device does not snapshot the face of the driver, namely, the facial image acquisition is failed, if the maximum comparison result value is not 0 but less than A, if the face image is not successfully compared with the face image, the face image is stored in the identity recognition system as a sample image.
The identity recognition system decodes the facial image transmitted by the facial information acquisition device, generates the RGB of the original image data and extracts the facial features of the facial image.
3. The face recognition based identification system of claim 2, wherein: the face information acquisition device adopts two cameras, two driver face images are acquired through the two cameras, the face characteristics of the two driver face images are sequentially acquired, the face characteristics of the two driver face images are respectively compared with the face characteristics of each group of sample pictures correspondingly, two comparison result values can be obtained after comparison every time, the average value of the two comparison result values is calculated, and the maximum average value is selected to serve as the final comparison result after comparison with all the sample pictures is completed.
4. The face recognition based identification system of claim 2, wherein: the driver face information sample picture libraries are built in the identity recognition system, the picture libraries are generated by the face information acquisition device when the driver uses the vehicle for the first time, pictures in the sample picture libraries exist in a group form, each group of sample pictures are marked with different numbers, and one group of pictures represents a sample of one driver.
5. The face recognition based identification system of claim 1, wherein: the facial information acquisition device comprises a camera, the camera is installed on a steering wheel, and the shooting direction of the camera is right opposite to a driving position.
6. The utility model provides an instrument parameter self-adaptation system based on face identification which characterized in that: the system comprises a storage module, a processor module and the identity recognition system based on face recognition as claimed in any one of claims 1 to 5, wherein the identity recognition system is used for carrying out face recognition and sending a recognition result to the processor module, and the processor module calls instrument parameters matched with the identity recognition system from the storage module according to the face recognition result and displays a matched instrument interface.
7. A meter parameter self-adapting method based on face recognition is characterized in that the meter parameter self-adapting system based on face recognition according to claim 6 is adopted, and the method comprises the following steps:
s1) after the driver starts the automobile, the facial information acquisition device acquires facial images of the driver and transmits the acquired facial images to the identity recognition system in real time;
s2) if the facial image acquisition fails, displaying a default instrument interface, and not storing the adjustment of the instrument parameters during driving; if the facial image is successfully acquired, analyzing the facial image by an identity recognition system to obtain the facial image and the facial features of each sample picture, comparing the obtained facial features of the facial image with the facial features of each sample picture one by one to obtain a comparison result of the facial image and each sample picture, if the comparison is successful, calling out instrument parameters matched with the identity from a storage module by a processor, displaying a matched instrument interface, and executing a step S3), if the comparison is not successful, prompting a driver whether to enter the identity, if the processor receives an identity-not-entering instruction, displaying a default instrument interface, and during driving, not storing the adjustment of the instrument parameters; if the processor receives an identity inputting instruction, entering an identity inputting system, inputting a facial image acquired by the facial information acquisition device as a sample picture into the identity recognition system, simultaneously displaying a default instrument interface, and executing the step S3);
s3), during driving, if the processor receives the instrument parameter adjusting instruction, adjusting the corresponding instrument parameter, matching the adjusted instrument parameter with the corresponding driver sample, and storing the matched instrument parameter in the storage module.
8. The face recognition-based meter parameter self-adapting method of claim 1, wherein: one or a group of sample pictures correspond to one driver sample number, the driver sample number is stored in the storage module, the driver sample number is correspondingly matched with the instrument parameter, and the instrument parameter matched with the driver sample number is called according to the driver sample number.
9. The face recognition-based meter parameter self-adapting method of claim 1, wherein: step S3), if the parameter adjustment is not made during the driving, the original meter parameter is retained, and if the meter parameter is adjusted during the driving, the adjusted meter parameter is used to replace the original meter parameter.
10. A vehicle, characterized in that the vehicle comprises a face recognition based identity recognition system according to any one of claims 1 to 5 or a face recognition based meter parameter self-adaptation system according to claim 6.
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| CN115022719B (en) * | 2022-05-12 | 2023-05-26 | 东风汽车集团股份有限公司 | Remote driving self-adaptive video code rate control transmission method and system |
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