CN114889554A - Automobile intelligent entering and starting system based on face recognition - Google Patents
Automobile intelligent entering and starting system based on face recognition Download PDFInfo
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- 238000000034 method Methods 0.000 claims abstract description 11
- 230000001680 brushing effect Effects 0.000 claims description 9
- 238000013459 approach Methods 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 4
- 230000007958 sleep Effects 0.000 claims description 4
- 238000012217 deletion Methods 0.000 claims description 3
- 230000037430 deletion Effects 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 238000003825 pressing Methods 0.000 claims description 2
- 238000003384 imaging method Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
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- 230000007246 mechanism Effects 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/20—Means to switch the anti-theft system on or off
- B60R25/25—Means to switch the anti-theft system on or off using biometry
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/40—Spoof detection, e.g. liveness detection
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2325/00—Indexing scheme relating to vehicle anti-theft devices
- B60R2325/20—Communication devices for vehicle anti-theft devices
- B60R2325/202—Personal digital assistant [PDA]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2325/00—Indexing scheme relating to vehicle anti-theft devices
- B60R2325/20—Communication devices for vehicle anti-theft devices
- B60R2325/205—Mobile phones
Abstract
The invention discloses an automobile intelligent entering and starting system based on face recognition, which belongs to the technical field of automobile electronic appliances, and adopts a ToF camera to detect a face and obtain the imaging of a real three-dimensional 3D model; the method comprises the steps that a mobile terminal APP inputs face information once to complete registration input of a car owner or a user face, a face photo is stored in a cloud end, and is issued to a vehicle unlocking and vehicle starting control correlation controller after a characteristic value is extracted to serve as a base for comparing the face information during vehicle unlocking and vehicle starting, and the face photo is compared with a ToF camera adopted outside a car and the user face information acquired by a high-precision camera inside the car to realize vehicle unlocking and starting after successful authentication; a method for detecting a human face image acquired by a ToF camera outside a vehicle forms a real 3D image, and has strong ambient light interference resistance and high safety of resisting model attack.
Description
Technical Field
The invention belongs to the technical field of automobile electronic appliances, and particularly relates to an automobile intelligent entering and starting system based on face recognition.
Background
With the development of the technology and the intellectualization of the automobile, the automobile and the user are more closely related, and the design of the automobile function also needs to consider various use scenes of the user, so that the convenience, the comfort and the safety of use are ensured. The automobile entering and starting technology adopted by most of the existing vehicles on the market is mainly characterized in that a vehicle door is opened by a key and a key is detected in the vehicle to start the vehicle, or a method for detecting the matching authentication unlocking of a mobile phone Bluetooth key and starting the vehicle is adopted, a scheme of face recognition and face brushing is adopted, the vehicle can be started only by detecting the key again after entering the vehicle, and the automobile entering and starting technology cannot be used in a use scene without the key and the mobile phone.
Disclosure of Invention
Aiming at the defects or improvement requirements of the prior art, the invention provides a system for unlocking a vehicle door by brushing the face outside and starting the vehicle by brushing the face inside based on face recognition, and solves the problem that a user does not carry a key or still needs to use the vehicle by using a mobile phone.
In order to achieve the above object, the present invention provides an automobile intelligent entering and starting system based on face recognition, comprising: the system comprises a registration and management module, a wake-up module, an outside-vehicle identification module, an outside-vehicle display screen and an inside-vehicle identification module;
the registration and management module is arranged at the mobile terminal and is used for realizing the input and management of the face information;
the wake-up module comprises an outside-vehicle doorknob key wake-up module and a near-distance infrared wake-up module, and is used for sending a doorknob key signal or an infrared sensor signal to the outside-vehicle identification module after receiving a door key pressing signal of a user or detecting that the user approaches a vehicle for a preset distance;
the vehicle exterior identification module comprises a ToF camera and a face identification controller, and is used for collecting face information when a door handle key signal or an infrared sensor signal is received by the ToF camera, transmitting a face image to the face identification controller, carrying out face identification and comparison by the face identification controller, sending an identification result to a vehicle CAN network to execute an unlocking or locking instruction, and locally storing the face information by the face identification controller;
the external display screen is used for displaying a system starting interface, a virtual human face position and adjustment prompt, a recognition success prompt, a recognition failure prompt and a system locking prompt when a face is brushed;
the in-vehicle identification module comprises a DMS camera and a DMS controller and is used for re-authenticating the in-vehicle face brushing after a driver unlocks the vehicle so as to start the vehicle.
In some optional embodiments, the registration and management module is configured to receive a face photo uploaded by a user, or upload the face photo through a photographing function of the mobile terminal, compress the face photo and upload the compressed face photo to the cloud after the quality of the face photo reaches a standard, so as to extract a face feature value at the cloud, send the extracted face feature value to the face recognition controller and the DMS controller through the vehicle T-box to be locally stored, form a face library, and complete a face registration process.
In some optional embodiments, in the registration and management module, the authenticated owner user can manage all registered faces, including account addition and deletion, and setting of face account permissions.
In some optional embodiments, an infrared sensor is disposed outside the vehicle for transmitting a detected infrared sensor signal to the face recognition controller after a user approaches the vehicle by a preset distance.
In some optional embodiments, the face recognition controller, the ToF camera and the external display screen are set to be in three states of running, standby and dormant, after receiving a door handle key signal or an infrared sensor signal, the face recognition controller, the ToF camera and the external display screen enter the running state, after a user swipes the face successfully to open the door, the body controller sends a vehicle unlocking state signal to the face recognition controller, the ToF camera and the external display screen enter the standby state, after the user enters the vehicle and starts the vehicle, the face recognition controller receives a vehicle gear signal or a vehicle door locking state signal of the entire vehicle CAN network, and the face recognition controller, the ToF camera and the external display screen enter the dormant state.
In some optional embodiments, the face recognition controller, the ToF camera, and the display screen outside the vehicle are in an operating state, and if a recognition error is detected for N times or no person is detected for M minutes, the face recognition controller, the ToF camera, and the display screen outside the vehicle enter a standby state by operating, and automatically enter a sleep mode after waiting for L minutes.
In some optional embodiments, the face recognition controller is configured to, after receiving a face image sent by the ToF camera, analyze and determine whether the face image has a face and whether the face image meets the standard, perform living body detection after the face image meets the standard, perform face feature extraction after the living body is determined, perform face comparison on the extracted face features and a registered face base, after the face comparison is passed, the recognition is successful, and if no face image or face image does not meet the standard, or a non-living body is detected more than a set number of times, the recognition is failed.
In some optional embodiments, the DMS controller is configured to receive a face image collected by the DMS camera after the door of the vehicle is unlocked and the user enters the vehicle, perform face recognition and face comparison, determine whether the user is a valid user, send a recognition result to the vehicle body controller after the face recognition is successful, and automatically start the vehicle when a vehicle start condition is met.
In general, compared with the prior art, the above technical solution contemplated by the present invention can achieve the following beneficial effects:
(1) the invention provides a solution scheme that the mobile terminal APP inputs face information once, so that the vehicle can be opened by brushing the face outside the vehicle and started by recognizing the face inside the vehicle. Through removing end APP, accomplish the car owner or user's face photo and type in, the high in the clouds is preserved to the face photo to after extracting the eigenvalue, issue vehicle correlation controller, as the end storehouse that face information compares when vehicle unblock and vehicle start, with the external ToF camera of adopting of car, the user's face information that high accuracy camera in the car gathered, realize vehicle unblock and start after the authentication succeeds.
(2) Face registration flow can be on removing end APP through a photo long-range face registration that carries on, and the face after the registration need not reuse the key or remove the end, can accomplish vehicle unblock and vehicle start for the use of vehicle is more nimble convenient, more accords with the design principle who formulates the scheme from the user angle, can be used to the user and is running, swimming etc. inconvenient key scene of carrying, perhaps forgets the use scene of carrying the key and removing the end.
(3) A method for detecting a face image acquired by a ToF camera outside a vehicle forms a real 3D image of the face of a user, the ambient light interference resistance is strong, and the security of resisting model attack is greatly improved.
Drawings
Fig. 1 is a schematic structural diagram of an automobile intelligent entry and start system based on face recognition according to an embodiment of the present invention;
fig. 2 is a schematic view of a face registration process according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating a system operating state transition according to an embodiment of the present invention;
fig. 4 is a schematic view of a face recognition process according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
In the present example, the ToF camera: ToF is an abbreviation of Time-of-Flight, ToF is a 3D imaging technique, and ToF cameras represent cameras employing this technique.
DMS: is an abbreviation for Driver Monitoring System. The DMS system can monitor the state of the driver and guarantee the driving safety of the user.
As shown in FIG. 1, the invention provides an intelligent automobile entering and starting system based on face recognition, which mainly comprises a registration and management module, a wake-up module, an automobile exterior recognition module, an automobile exterior display screen, a T-box and an automobile interior recognition module;
the registration and management module belongs to a mobile APP end of a vehicle, and has the main functions of realizing the functions of account login, account management and authorization of a vehicle owner, face image input and the like.
The mobile terminal in the embodiment of the present invention may be a mobile phone, and may also be a mobile terminal such as a tablet computer with a photographing function.
The system is used when a vehicle enters and is started, and does not need to work when the vehicle is parked, started or driven, in order to reduce power consumption, the main system is closed, the detection system keeps running with low power consumption, after a user presses a vehicle door key or when the user is detected to be close to a preset distance of the vehicle, a door handle key signal or an infrared sensor signal is sent to the vehicle exterior identification module, and the system wakes up.
The vehicle exterior identification module mainly comprises a ToF camera and a face identification controller, wherein the ToF camera realizes the acquisition of face information during face brushing and transmits an image to the face identification controller, the face identification controller carries out face identification and comparison and sends an identification result to a vehicle CAN network to execute an unlocking or locking instruction, and meanwhile, the face identification controller is responsible for the local storage of the face information;
the external display screen displays a system starting interface, a virtual human face position and adjustment prompt, an identification success prompt, an identification failure prompt and a system locking prompt when a face is brushed;
the in-vehicle identification module mainly comprises an in-vehicle DMS camera and a DMS controller and is used for re-authenticating the in-vehicle face brushing after a driver unlocks the vehicle so as to start the vehicle.
The specific implementation of the system is as follows:
(1) use this system to accomplish for the first time and brush face unblock and start the function before, need advance people face to register, the registration flow is gone on at removal APP end, can realize long-range registration, the back is opened to the function, car owner user uploads the photo that embodies face information to remove APP end or uploads the photo through the function of shooing of removing APP end, it judges to remove APP end photo quality, face image quality is after up to standard, upload the high in the clouds after the picture compression, the high in the clouds has integrateed image characteristic and has drawed relevant algorithm, accomplish image characteristic value at the high in the clouds and draw the back, send it to the face identification controller of vehicle and the interior DMS controller of car through vehicle T-box and carry out local storage, accomplish the flow that the face registered. As shown in fig. 2.
(2) And by moving the APP terminal, the authenticated owner user can manage all registered faces, including account addition and deletion, and face account authority setting, such as whether remote control can be performed, whether a vehicle condition report can be checked, whether a driving track can be checked, and the like.
(3) The infrared sensor has been arranged outside the car, on the near vehicle B post of display screen outside the car, when the vehicle was parked, main system closed, and detecting system keeps the low-power consumption operation, and the system awakens up there are two kinds of modes: firstly, after a user presses a car door key, a key signal is sent to a face recognition controller outside a car, and the face recognition controller is awakened; the second mode is that when a user approaches a vehicle for a preset distance, an infrared sensor detects that the user approaches, sends an infrared sensor signal to a face recognition controller, and the system is awakened; after the system is awakened, the display screen outside the vehicle is started, and displays a face brushing frame to prompt a user to adjust the face position for face recognition.
(4) In order to reduce the power consumption of system operation, the face recognition system outside the vehicle, which is composed of the face recognition controller, the ToF camera and the display screen outside the vehicle, defines three states of operation, standby and dormancy. After the system described in item (3) above is awakened, the system is started to enter a running state, after a user swipes a face and successfully opens a door, the vehicle body controller sends a vehicle unlocking state signal to the face recognition controller, the system enters a standby state, at this time, the system is in a low-power consumption running state, when the user enters the vehicle and starts the vehicle, the face recognition controller receives a vehicle gear signal of a complete vehicle CAN network or a vehicle door locking state signal, the system enters a sleep state, and meanwhile, in the running state, if a recognition error is detected for N times (the number of times CAN be set according to requirements) or no person is detected for M minutes (CAN be defined according to requirements), the system enters the standby state by running, and automatically enters a sleep mode after the standby time is L minutes. The relevant operating state transition diagram is shown in fig. 3 below.
The preset distances, N, M and L can be set according to actual needs.
(5) The camera for acquiring the face information on the vehicle adopts a ToF camera, emits modulated infrared light pulses through an infrared light emitter, continuously hits the surface of an object, is received by a receiver after reflection, calculates time difference through phase change, further calculates object depth information by combining light speed, forms a real 3D image, and has stronger environment light interference resistance and high safety of resisting model attack. After the camera collects the image, the image is transmitted to the face recognition controller through the LVDS interface, and the face recognition controller performs face recognition and face comparison, as shown in fig. 4. After the image frame is obtained, whether the image has a face or not and whether the image reaches the standard or not are analyzed and confirmed, living body detection is carried out after the image reaches the standard, feature extraction is carried out after the image is confirmed to be a living body, the extracted features are compared with the face of the registered face base library, and after the comparison is passed, the identification is successful. In contrast, if the face image does not reach the standard, or a non-living body is detected more than a set number of times (which may be set to 5 times or otherwise, and may be changed as needed), the recognition fails.
(6) After the recognition is finished, the external face recognition controller transmits the result of the successful or failed recognition to an external display screen through the LVDS interface to inform a user of the successful or failed recognition. Meanwhile, after the identification is successful, an unlocking request is sent to the vehicle body controller through the CAN network, and the vehicle body controller sends an unlocking command to a relevant executing mechanism according to the vehicle condition.
After unlocking, the DMS system is awakened. After a user opens a vehicle door to enter a vehicle, a DMS camera in the vehicle collects a face image of the user again and transmits the face image to the DMS controller for face recognition and face comparison, whether the user is an effective user is determined, after recognition is successful, a recognition result is sent to the vehicle body controller, and the vehicle is automatically started under the condition that a vehicle starting condition is met. This DMS camera is arranged in the vicinity of the driver's head.
According to the technical scheme, the face is detected by adopting the ToF camera to obtain the imaging of a real three-dimensional 3D model, so that the model attack prevention rate is high, and the safety and reliability are high; the method comprises the steps that a mobile terminal APP inputs face information once to complete registration input of a vehicle owner or a user face, a face photo is stored in a cloud end and is issued to a vehicle unlocking and vehicle starting control correlation controller after a characteristic value is extracted to serve as a base for comparing the face information during vehicle unlocking and vehicle starting, the face photo is compared with a ToF camera adopted outside a vehicle, the user face information acquired by a high-precision camera in the vehicle is used as a base for comparing the face information during vehicle unlocking and vehicle starting, vehicle unlocking and vehicle starting are achieved after authentication is successful, the vehicle unlocking and vehicle starting can be achieved through one-time face information input, intelligent entering and starting of the vehicle can be achieved, a user can not rely on a key and a mobile phone at all, a user registration mode is input through the mobile terminal APP, the vehicle owner can input a user photo needing to use the vehicle remotely, and the registered user can use the vehicle at any time; a method for detecting a human face image by adopting a ToF camera outside a vehicle includes the steps of collecting infrared light pulses which are emitted and modulated by an infrared light emitter, continuously striking the infrared light pulses on the surface of an object, receiving the infrared light pulses by a receiver after the infrared light pulses are reflected, calculating time difference through phase change, further calculating object depth information by combining light speed, and forming a real 3D image.
It should be noted that, according to the implementation requirement, each step/component described in the present application can be divided into more steps/components, and two or more steps/components or partial operations of the steps/components can be combined into new steps/components to achieve the purpose of the present invention.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. The utility model provides an automobile intelligence gets into and start-up system based on face identification which characterized in that includes: the system comprises a registration and management module, a wake-up module, an outside-vehicle identification module, an outside-vehicle display screen and an inside-vehicle identification module;
the registration and management module is arranged at the mobile terminal and is used for realizing the input and management of the face information;
the wake-up module comprises an outside-vehicle doorknob key wake-up module and a near-distance infrared wake-up module, and is used for sending a doorknob key signal or an infrared sensor signal to the outside-vehicle identification module after receiving a door key pressing signal of a user or detecting that the user approaches a vehicle for a preset distance;
the vehicle exterior identification module comprises a ToF camera and a face identification controller, and is used for collecting face information when a face is brushed by the ToF camera after a door handle key signal or an infrared sensor signal is received, transmitting a face image to the face identification controller, carrying out face identification and comparison by the face identification controller, transmitting an identification result to a vehicle CAN (controller area network) to execute an unlocking or locking instruction, and locally storing the face information by the face identification controller;
the external display screen is used for displaying a system starting interface, a virtual human face position and adjustment prompt, a recognition success prompt, a recognition failure prompt and a system locking prompt when a face is brushed;
the in-vehicle identification module comprises a DMS camera and a DMS controller and is used for re-authenticating the in-vehicle face brushing after a driver unlocks the vehicle so as to start the vehicle.
2. The system of claim 1, wherein the registration and management module is configured to receive a face photo uploaded by a user, or upload the face photo through a photographing function of the mobile terminal, and after the quality of the face photo reaches a standard, compress the face photo and upload the compressed face photo to the cloud, so that after the face feature value is extracted at the cloud, the extracted face feature is sent to the face recognition controller and the DMS controller through the vehicle T-box to be locally stored, thereby forming a face base and completing the process of face registration.
3. The system according to claim 2, characterized in that in the registration and management module, the authenticated owner user can manage all registered faces, including account addition and deletion, and setting of face account authority.
4. The system according to any one of claims 1 to 3, wherein an infrared sensor is disposed outside the vehicle for transmitting a detected infrared sensor signal to the face recognition controller after a user approaches the vehicle by a preset distance.
5. The system of claim 4, wherein the face recognition controller, the ToF camera and the display screen outside the vehicle are set to be in three states of running, standby and dormant, after receiving a door knob key signal or an infrared sensor signal, the face recognition controller, the ToF camera and the display screen outside the vehicle enter the running state, after a user swipes the face and successfully opens the vehicle door, the body controller sends a vehicle unlocking state signal to the face recognition controller, the ToF camera and the display screen outside the vehicle enter the standby state, when the user enters the vehicle and starts the vehicle, the face recognition controller receives a vehicle gear signal or a vehicle door locking state signal of a CAN network of the whole vehicle, and the face recognition controller, the ToF camera and the display screen outside the vehicle enter the dormant state.
6. The system according to claim 5, wherein the face recognition controller, the ToF camera and the display screen outside the vehicle are in a running state, and enter a standby state after running for N times of detection of recognition errors or M minutes of detection of no person, and automatically enter a sleep mode after waiting for L minutes.
7. The system of claim 6, wherein the face recognition controller is configured to, after receiving the face image sent by the ToF camera, analyze and determine whether the face image has a face and whether the face image meets the standard, perform living body detection after the face image meets the standard, perform face feature extraction after the face image meets the standard, perform face comparison on the extracted face features and the registered face base database, and after the face comparison is passed, perform recognition successfully, and if no face image or face image does not meet the standard, or detect that the non-living body exceeds a set number of times, perform recognition failure.
8. The system of claim 7, wherein the DMS controller is configured to receive the face image collected by the DMS camera after the door is unlocked and the user enters the vehicle, perform face recognition and face comparison, determine whether the user is a valid user, and send the recognition result to the vehicle body controller after the face recognition is successful, so as to automatically start the vehicle if the vehicle start condition is met.
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