CN113548010A - Face recognition-based keyless entry control system and method - Google Patents

Face recognition-based keyless entry control system and method Download PDF

Info

Publication number
CN113548010A
CN113548010A CN202010297210.7A CN202010297210A CN113548010A CN 113548010 A CN113548010 A CN 113548010A CN 202010297210 A CN202010297210 A CN 202010297210A CN 113548010 A CN113548010 A CN 113548010A
Authority
CN
China
Prior art keywords
module
face recognition
vehicle
information
keyless entry
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010297210.7A
Other languages
Chinese (zh)
Inventor
解卫朋
田志龙
顾君杰
杨龙江
关真林
赵聪
樊倩
郭强
孔燕燕
彭亮
张海峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Great Wall Motor Co Ltd
Original Assignee
Great Wall Motor Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Great Wall Motor Co Ltd filed Critical Great Wall Motor Co Ltd
Priority to CN202010297210.7A priority Critical patent/CN113548010A/en
Publication of CN113548010A publication Critical patent/CN113548010A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/20Means to switch the anti-theft system on or off
    • B60R25/25Means to switch the anti-theft system on or off using biometry
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit
    • G07C9/00174Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00563Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit
    • G07C9/00174Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00896Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Mechanical Engineering (AREA)
  • Lock And Its Accessories (AREA)

Abstract

The application discloses a keyless entry control system and method based on face recognition. The induction module is used for activating the recognition module to recognize face information according to the induction personnel information, the face recognition module transmits the recognition result to the control module, the control module sends a control instruction to the execution module after analyzing and processing, and the execution module executes operation to start the vehicle on the premise of not needing a mechanical key and a mobile phone.

Description

Face recognition-based keyless entry control system and method
Technical Field
The application relates to the field of vehicles, in particular to a keyless entry control system and method based on face recognition.
Background
When a vehicle is driven, a key is needed to unlock a vehicle door first and then ignition is started, and the situation that the vehicle cannot be driven due to forgetting the key or key transmission often occurs. There are two main driving modes of vehicles on the market at present: one is that the user opens the door using a mechanical/electronic key, and then starts the driving of the vehicle after the ignition switch is inserted into the mechanical key to complete the starting of the vehicle; the other is that the user carries a vehicle key with him, opens the door of the vehicle in a keyless entry mode, and starts the driving of the vehicle after pressing a key start command to start the vehicle. In both driving modes, a user needs to carry a vehicle key with him or her as a certificate for using the vehicle, and the user cannot use the vehicle if the user loses or forgets to carry the vehicle key in the actual use process, so that the user is inconvenient to use.
Disclosure of Invention
The application aims to provide a keyless entry control system and method based on face recognition, which can realize unlocking and locking of a keyless entry vehicle door and vehicle starting, and can set the cabin environment according to a face recognition result.
This user characteristic and advantage of the present disclosure will become apparent from the detailed description below or may be learned in part by practice of the present disclosure.
According to the application, a keyless entry control system based on face recognition is provided, which is characterized by comprising:
the first recognition module comprises a face recognition camera;
the induction module is used for inducing personnel outside the vehicle and controlling the face recognition module to start according to an induction result;
the whole vehicle ECU module receives the image information of the face recognition module and sends out a control signal according to the received information;
the BCM module receives a control signal of an ECU of the whole vehicle;
and the execution mechanism executes the control instruction according to the control signal of the BCM module.
According to some embodiments, the sensing module comprises:
the infrared identification camera is integrated on the induction module.
According to some embodiments, the first facial recognition module is disposed on a B-pillar garnish.
According to some embodiments, a second face recognition module is provided on the interior rearview mirror for information recognition and entry within the cockpit.
According to the present application, there is provided a keyless entry control method based on face recognition, characterized in that,
the sensing module senses personnel outside the vehicle and sends out a control signal according to a sensing result;
the first face recognition module is started according to the control signal and transmits recognized image information to the whole vehicle ECU;
the whole vehicle ECU module analyzes and processes the image information and sends control information to the BCM module;
and the BCM module controls the unlocking of the whole vehicle.
According to some embodiments, the sending out the control signal according to the sensing result includes:
when the induction module automatically recognizes that the face contour is consistent with the stored information, the induction module sends a control signal to automatically activate the power supply of the face recognition module;
when the induction module automatically identifies that the face outline is inconsistent with the stored information, the power supply of the face identification module can be manually started.
According to some embodiments, the vehicle ECU module analyzes and processes the image information, including: and the whole vehicle ECU compares the face recognition information with the input information, and when the comparison result is consistent, the whole vehicle ECU sends the BCM unlocking instruction.
According to some embodiments, the vehicle ECU module analyzes and processes the image information, including:
and the whole vehicle ECU compares the face recognition information with the input information, and when the inconsistent times of the comparison result reach a threshold value, the whole vehicle ECU sends an alarm instruction to the BCM module.
According to some embodiments, the keyless entry control method further comprises:
after the vehicle is unlocked, the BCM module judges that the brake is stepped on within the threshold time, and the BCM module controls the vehicle to start.
According to a second aspect of the present application, there is provided a vehicle characterized by comprising the keyless entry control system and the control method according to any one of claims 1 to 4.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present application.
Fig. 1 illustrates a component diagram of a face recognition based keyless entry control system according to an example embodiment of the present application.
Fig. 2 illustrates a control unlocking schematic diagram of keyless entry based on face recognition according to an exemplary embodiment of the present application.
Fig. 3 illustrates a control alarm schematic diagram for keyless entry based on face recognition according to an exemplary embodiment of the present application.
Fig. 4 is a schematic diagram illustrating a control method for keyless entry based on face recognition according to an exemplary embodiment of the present application.
Fig. 5 illustrates a first facial recognition device installation diagram according to an example embodiment of the present application.
Fig. 6 shows a second face recognition device installation diagram according to an example embodiment of the present application.
Fig. 7 is a block diagram illustrating a control system for keyless entry based on face recognition according to an exemplary embodiment of the present application.
Fig. 8 shows a simplified configuration of a keyless entry vehicle lock based on face recognition according to an exemplary embodiment of the present application.
Fig. 9 shows a schematic diagram of an operation mode of keyless entry based on face recognition according to an example embodiment of the present application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the subject matter of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one element from another. Thus, a first component discussed below may be termed a second component without departing from the teachings of the present concepts. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Those skilled in the art will appreciate that the drawings are merely schematic representations of exemplary embodiments, which may not be to scale. The blocks or flows in the drawings are not necessarily required to practice the present application and therefore should not be used to limit the scope of the present application.
The technical solution of the present application will be described in detail below with reference to the accompanying drawings.
Fig. 1 shows a block diagram of a face recognition based keyless entry control system according to an example embodiment of the present application.
Referring to fig. 1, the keyless entry control system based on face recognition comprises an infrared recognition camera 101, a face recognition power supply 103, a face recognition camera 105, a complete vehicle ECU107, a BCM109, a vehicle lock system 111, a seat system 113, a B-pillar trim panel and a power management system 117.
According to some example embodiments, the face recognition device is composed of an infrared recognition camera 101, a face recognition power supply 103 and a face recognition camera 105, the face recognition device is responsible for recognizing and displaying face information, the recognized face information is transmitted to the whole vehicle ECU107, the whole vehicle ECU107 receives the information and then compares the information with the information input before, the information is analyzed and processed and then converted into a control instruction to be sent to the BCM109, and the BCM109 sends a control signal to the vehicle lock 111 and the seat system 113 to be responsible for unlocking and locking the vehicle lock and simultaneously control automatic adjustment of the seat system. The face recognition device is arranged on the B-pillar outer decoration plate 115, and a power management system 117 supplies power in the use process. The components are in signal connection and are used as hardware of a control system for keyless entry.
Fig. 2 illustrates a control unlocking schematic diagram of keyless entry based on face recognition according to an exemplary embodiment of the present application.
Referring to fig. 2, in the use process of the vehicle, firstly, a user needs to complete face information entry through a face recognition module or a mobile phone APP, and the face information entry serves as a basis for later use of the vehicle, so that the vehicle can be used among the family members of the vehicle owner, and multiple persons are allowed to enter information, for example, 3-5 personal face information is entered as a basis for using the vehicle.
In S201, the control system is started, in S203, the infrared recognition camera senses face information, and determines whether to activate the power supply according to the sensed face information, after the person stays in the infrared camera for a certain time, for example, 3 seconds, the infrared camera activates the power supply, and if the time is too short, the infrared camera determines not to activate the power supply.
In S207, the face camera recognizes the face contour, the recognized information is displayed on the display screen, and the face position can be adjusted according to the display screen.
According to some example embodiments, the face information collected by the face recognition module is mainly the outline and relative position of the five sense organs of the face. Different face effects are intercepted by the two cameras in the face static/fine adjustment process, the different face effects are converted into different images, and a simple 3D model of the face is obtained according to an image acquisition result, so that the contour sizes and shapes of eyes, ears, nose and mouth are calculated, and three main parameters of the relative vector difference of each contour are used for generating the biological key.
According to some example embodiments, the face recognition module can be composed of 2-3 cameras, so that face information with a 3D effect can be obtained, and the face recognition precision is improved; the human face recognition module outside the cockpit is arranged on the B column and is in a state of looking straight and slightly lowering head of a person, and the operation comfort is good.
In S209, the information identified by the face recognition camera is transmitted to the whole vehicle ECU module, and the whole vehicle ECU receives the information, analyzes and compares the information with the previously input information, and outputs the result.
According to the embodiment of the application, in S211, when the comparison result is consistent with the information, it is determined that the face recognition is successful, and the recognition result is transmitted to the BCM, and when the comparison result is inconsistent, it is determined that the face recognition result is failed, and the posture can be adjusted to perform face recognition again. And transmitting the judgment result to the BCM.
In S213, after the BCM module receives the determination result of the ECU, the BCM sends a control command, and if the determination result is consistent, the vehicle is unlocked in S215.
Fig. 3 illustrates a control alarm schematic diagram for keyless entry based on face recognition according to an exemplary embodiment of the present application.
Referring to fig. 3, according to the face recognition result, in S301 and S303, when the face recognition result is determined to be unsuccessful, face recognition may be performed again, and then the person may perform face recognition again.
According to the embodiment of the application, the control system sets a failure time threshold in advance, for example, 5 times, and when the failure times reach 5 times, the alarm device is activated. And the power supply of the B-pillar outer decorative plate is turned off for 5 minutes, so that the risk that the shared automobile is damaged manually is reduced. The vehicle sends the warning sound suggestion personnel vehicle around have the potential safety hazard to close face identification system, control system accessible internet of vehicles and cell-phone APP signal connection, cell-phone APP is the vehicle management unit, can long-range realization function selection and face type, and the face information of long-range receipt gathering also can receive the alarm information of vehicle.
Fig. 4 is a schematic diagram illustrating a control method for keyless entry based on face recognition according to an exemplary embodiment of the present application.
Referring to fig. 4, according to some exemplary embodiments, at S409, the control system may perform automatic seat adjustment after comparing the face recognition result with the previous information.
According to the embodiment of the application, the whole vehicle ECU adjusts vehicle settings according to the acquired, analyzed and identified face information, and automatically switches the vehicle settings among a plurality of drivers (such as seats, rearview mirrors, air conditioners and the like), so that the use comfort of the vehicle is improved; and the whole vehicle ECU outputs the vehicle state information when the vehicle is used last time according to the identified biological information, and controls the electric seat and the exterior rearview mirror to regulate the temperature of the air conditioner to the state used last time. And a suitable use environment is created for the user. And meanwhile, the center console of the instrument panel is started to display vehicle information, so that a user can conveniently check the information.
At S401 and S403, the vehicle ignition is initiated when the brake is depressed for a threshold period of time.
According to the embodiment of the application, when a user of a vehicle enters a cab within a threshold time, such as 2 minutes, and presses a brake pedal, the ECU of the whole vehicle outputs a signal to the engine module, the ignition of the vehicle is started, the parking lock is allowed to be closed, and the user starts keyless driving. When the brake pedal cannot be stepped within 2 minutes of the threshold time, the ECU outputs a signal to control a face recognition module on the inside rearview mirror to start, face recognition is carried out on the main driving preset area again, and after recognition, a user successfully obtains the threshold time of 2 minutes again to start the vehicle. If the automatic identification fails for three times, the ECU judges that the user does not need to drive the vehicle temporarily, the ECU outputs a signal to the vehicle lock module at the moment, the parking lock is not allowed to be closed, accidental vehicle sliding is prevented, meanwhile, the signal is output to the engine module, the engine is not allowed to be started, and other modules of the vehicle are not limited. After the automatic recognition fails, a user needs to press a power button of a face recognition module on the inner rearview mirror when starting the vehicle, the face recognition is activated, the engine is started after the recognition is completed, and the user can start keyless driving.
In S405 and S407, after the vehicle is used, if the face recognition is performed again in the vehicle stop state, the vehicle is turned off, and the lock is locked.
According to the embodiment of the application, after the user finishes using the vehicle, the vehicle door is closed, the vehicle lock module outputs a signal to the whole vehicle ECU, after the ECU confirms that all the vehicle doors are closed, the ECU outputs a signal to close the face recognition module in the cockpit, and the vehicle lock is locked after face recognition is carried out outside the cockpit again. The vehicle user finishes the use of the vehicle.
Fig. 5 illustrates a first facial recognition device installation diagram according to an example embodiment of the present application.
Referring to fig. 5, according to some exemplary embodiments, the first face recognition module is located outside the cockpit, and the recognition device is mounted on a B-pillar, which includes a B-pillar outer trim panel body 505, a B-pillar outer trim panel skeleton 503, a face recognition camera 501, and a display screen assembly 507. The B-pillar outer decorative plate body 503 is made of transparent material and is used for realizing the modeling arc surface effect; the B-column outer decorative plate framework 503 is used for mounting a face recognition camera 501 and a display screen assembly 507 and is fixed with the vehicle body through welding/bonding; the face recognition module comprises a face recognition camera, the face recognition camera has an infrared recognition function, a visible light image acquisition function and a photographing/shooting function and is used for recognizing face information outside the cockpit, and the display screen is used for displaying a face recognition effect. Fig. 6 shows a second face recognition device installation diagram according to an example embodiment of the present application.
Referring to fig. 6, according to some exemplary embodiments, a second face recognition module is located in the cockpit, and the recognition device is mounted on an interior rear view mirror that includes a face recognition module 601, a face recognition module power switch 603, and an interior rear view mirror lens 605. A face recognition module is mainly added to the existing inner rear-view mirror for face inputting and recognition, and meanwhile, the lens 605 of the inner rear-view mirror integrates the effect of a display screen.
According to the embodiment of the application, the second face recognition module integrates the functions of face recognition, infrared ray recognition and camera shooting, is arranged on the inner rearview mirror and used for recognizing and inputting face information on a vehicle, is used as a face recognition device in a cockpit to confirm whether personnel exist in the cockpit or not, and shoots and records images in the cockpit.
According to some example embodiments, the first face recognition module is arranged on a column B outside a cockpit and used for face recognition when a driver unlocks outside the cockpit, the first face recognition module is provided with a display screen and a plurality of cameras, in an actual recognition process, the driver can adjust own posture according to image effects on the display screen, and the cameras can enhance the image effects and ensure accuracy of image recognition. The second face recognition module is arranged on an inner rear-view mirror in a cockpit and used for face recognition of a driver and inputting of image information, the driver needs to input and store own face information into the whole vehicle ECU module before using face recognition for the first time, the image information is compared when face recognition is carried out in the later period, and after the driver enters the cockpit, the cockpit environment can be adjusted according to the recognition result of the second face recognition module.
Fig. 7 is a block diagram illustrating a control system for keyless entry based on face recognition according to an exemplary embodiment of the present application.
Referring to fig. 7, the control device mainly comprises a function switch 701, an ECU module 703, a face recognition module 705 in the cockpit, a face recognition module 707 outside the cockpit, a vehicle networking module 709, a vehicle lock module 711, an engine module 713, a vehicle alarm module 715, and a mobile phone APP (717).
The function switch 701 is used for selecting different driving modes to realize different driving effects; the ECU module 703 is an electronic control unit, is a control brain for realizing keyless driving, and is responsible for receiving and processing information collected by each module, and outputting signals to each functional module to execute actions; the face recognition module 705 in the cockpit integrates face recognition, infrared recognition, camera shooting and information input functions, is arranged on the inner rearview mirror, and is used for realizing face recognition and information input in the cockpit, automatically starting the face recognition function and acquiring information in the cockpit; the cockpit external face recognition module 707 integrates face recognition, infrared recognition and camera shooting functions, is arranged on the B-pillar external decorative plate and is used for realizing face recognition outside the cockpit; the vehicle networking module 709 is used for realizing data transmission between the vehicle ECU module 703 and the mobile phone APP (717) and the shared vehicle database, and realizing information cooperation among the vehicle ECU module, the mobile phone APP (717) and the shared vehicle database; the vehicle locking module 711 is used for receiving the signal transmitted by the ECU module 703 and unlocking or locking the vehicle; the engine module 713 may receive signals transmitted by the ECU module 703 to start or stop operation; the vehicle alarm module 715 receives the signal transmitted by the ECU module 703 and sends an alarm prompt; the mobile phone APP (717) is a vehicle management unit, can remotely realize function selection and face input, remotely receives acquired face information, and serves as a basis for a vehicle owner to remotely operate a vehicle.
Fig. 8 shows a simplified configuration of a keyless entry vehicle lock based on face recognition according to an exemplary embodiment of the present application.
Referring to fig. 8, the vehicle lock includes a door lock 801, an electronic steering lock 803, and an engine antitheft lock 805. The door lock 801 controls unlocking and locking of the whole vehicle, the electronic steering lock 803 is a steering wheel lock of the vehicle and controls steering of the vehicle, and the engine anti-theft lock 805 belongs to an anti-theft system of the vehicle, so that the vehicle cannot be started even when the vehicle door is opened, and the vehicle lock can be controlled through face recognition.
Fig. 9 shows a schematic diagram of an operation mode of keyless entry based on face recognition according to an example embodiment of the present application.
Referring to fig. 9, the operation modes of the vehicle include a keyless entry driving mode 901, where the keyless entry driving mode 901 can realize unlocking without a key, starting and extinguishing without a key, and meanwhile, the position of the seat system can be automatically adjusted according to the biological information of the face recognition; the method comprises the steps that a keyless entry door opening mode 903 is adopted, and the keyless entry door opening mode 903 can realize unlocking without a key but needs to be started and flameout with the key; the conventional drive mode 905 requires a key to unlock and activate. The keyless entry driving mode 901 is a default mode, and the driver can select the driving mode according to the need.
If the traditional driving mode 905 is selected, the input face information is stored for standby without any effect. If the keyless door opening mode 903 is selected, the highest authority of the user is that the vehicle air conditioner, the seat adjustment module and the audio-video entertainment module can be used, and the parking module is not allowed to be unlocked. After the face recognition is successful, the ECU 703 outputs a signal to the lock module to allow the user to enter the cockpit, and simultaneously outputs a signal to the face recognition module in the cockpit on the inside rear-view mirror, at this time, the video recording function is started to shoot and record the in-vehicle operation of the user. If the keyless driving mode 901 is selected, the user right is the complete use right of the vehicle, after the face recognition is successful, the whole vehicle ECU module 703 outputs a signal to the vehicle lock module to allow the user to enter the cockpit and allow the parking state of the vehicle to be released, and simultaneously outputs a signal to the face recognition module in the cockpit on the inside mirror for automatically recognizing the face information of the user in the cockpit, and the whole vehicle ECU module 703 outputs a signal to the engine module 713, so that the vehicle is started.
According to this application embodiment, in the vehicle use, at first the user need pass through face identification module or cell-phone APP and accomplish the face information and type, uses the basis of vehicle as the later stage, for the convenience of using the vehicle between the car owner family member, allows a plurality of people to type information, for example type 3 ~ 5 individual face information as using the vehicle basis.
After the face information is input, the vehicle is in a keyless driving mode by default, in order to adapt to different use environments, a vehicle owner can also select to switch among a plurality of vehicle driving modes through a central console or a mobile phone APP through manual selection or voice control,
the keyless entry mode may also be used to facilitate the vehicle owner or family to take and retrieve the contents and wait for the vehicle owner. When the recognized face information is consistent with the face information input before, a user can pull the corresponding vehicle door handle within 2 minutes to open the corresponding vehicle door, and meanwhile, the ECU outputs a signal to start the face recognition module in the cockpit to record the video of the condition in the cockpit.
When the vehicle is in the keyless driving mode. When the recognized face information is consistent with the face information input before, the ECU outputs a signal to the vehicle lock module, the vehicle door at the main driving position is unlocked, and meanwhile, the ECU outputs a signal to the whole vehicle power supply to be electrified. In order to improve the safety of the driving scheme, the number of times of face recognition is limited as follows: the identification failure times of face identification is provided with a threshold value, for example 5 times, and outside the cockpit, the face identification times that the user initiatively goes on reaches when the threshold value, whole car ECU output signal to vehicle alarm module, and the user can pass through cell-phone APP or vehicle key unblock vehicle this moment. After no face heat source in the car, ECU output signal to vehicle alarm module, the vehicle indicator light lasts the scintillation, and the suggestion user vehicle is not locked, sends alarm signal to car owner's cell-phone APP to the car owner knows the vehicle state.
The user stands at the position of a B column outside the vehicle, faces a face recognition camera, and activates a power supply after an infrared camera senses the face outline; the vehicle owner can check and confirm the state of the vehicle inside and outside the cockpit in real time by linking with the mobile phone APP; the external cockpit face recognition module only supports recognition and does not support input, so that illegal input outside the cockpit is avoided; the face recognition module in the cockpit supports input and recognition, and avoids the situation that a driver still needs to stand outside the cockpit to re-recognize face information when the driver cannot start a vehicle immediately; after the face recognition outside the cockpit is successful, a face recognition module in the cockpit is started to detect whether personnel exist in the cockpit or not, so that the automatic locking of the vehicle is realized; after the vehicle identification fails for many times, the vehicle owner can be timely reminded of the existence of safety risks to be processed, and the safety of the vehicle is improved.
According to some embodiments of the present application, there is also provided a vehicle, which may be configured with the apparatus and method for controlling keyless entry based on face recognition according to the embodiments of the present application, and details thereof are not repeated herein.
It should be noted that each of the embodiments described above with reference to the drawings is only for illustrating the present application and not for limiting the scope of the present application, and those skilled in the art should understand that modifications or equivalent substitutions made on the present application without departing from the spirit and scope of the present application should be covered by the present application. Furthermore, unless the context indicates otherwise, words that appear in the singular include the plural and vice versa. Additionally, all or a portion of any embodiment may be utilized with all or a portion of any other embodiment, unless stated otherwise.

Claims (10)

1. A keyless entry control system based on face recognition is characterized by comprising:
the first recognition module comprises a face recognition camera;
the induction module is used for inducing personnel outside the vehicle and controlling the face recognition module to start according to an induction result;
the whole vehicle ECU module receives the image information of the face recognition module and sends out a control signal according to the received information;
the BCM module receives a control signal of the ECU of the whole vehicle and sends a control instruction;
and the execution mechanism executes the control instruction according to the control signal of the BCM module.
2. The keyless entry control system of claim 1 wherein the sensing module comprises:
the infrared identification camera is integrated on the induction module.
3. The keyless entry control system of claim 1 wherein the first facial recognition module is disposed on a B-pillar trim panel.
4. The keyless entry control system according to claim 1 further comprising a second face recognition module, the second face recognition module being disposed on the inside rear view mirror for information recognition and entry within the cockpit.
5. A keyless entry control method based on face recognition is characterized in that,
the sensing module senses personnel outside the vehicle and sends out a control signal according to a sensing result;
the first face recognition module is started according to the control signal and transmits recognized image information to the whole vehicle ECU;
the whole vehicle ECU module analyzes and processes the image information and sends control information to the BCM module;
the BCM module controls unlocking of the vehicle door.
6. The keyless entry control method according to claim 5 wherein the issuing of the control signal based on the sensing result comprises:
when the induction module automatically recognizes that the face contour is consistent with the stored information, the induction module sends a control signal to automatically activate the power supply of the face recognition module;
when the induction module automatically identifies that the face outline is inconsistent with the stored information, the power supply of the face identification module can be manually started.
7. The keyless entry control method according to claim 5, wherein the vehicle ECU module analyzes and processes the image information, and comprises:
and the whole vehicle ECU compares the face recognition information with the input information, and when the comparison result is consistent, the whole vehicle ECU sends the BCM unlocking instruction.
8. The keyless entry control method according to claim 5, wherein the vehicle ECU module analyzes and processes the image information, and comprises:
and the whole vehicle ECU compares the face recognition information with the input information, and when the inconsistent times of the comparison result reach a threshold value, the whole vehicle ECU sends an alarm instruction to the BCM module.
9. The keyless entry control method according to claim 5, further comprising:
after the vehicle is unlocked, the BCM module judges that the brake is stepped on within the threshold time, and the BCM module controls the vehicle to start.
10. A vehicle characterized by comprising the keyless entry control system according to any one of claims 1 to 4.
CN202010297210.7A 2020-04-15 2020-04-15 Face recognition-based keyless entry control system and method Pending CN113548010A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010297210.7A CN113548010A (en) 2020-04-15 2020-04-15 Face recognition-based keyless entry control system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010297210.7A CN113548010A (en) 2020-04-15 2020-04-15 Face recognition-based keyless entry control system and method

Publications (1)

Publication Number Publication Date
CN113548010A true CN113548010A (en) 2021-10-26

Family

ID=78100928

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010297210.7A Pending CN113548010A (en) 2020-04-15 2020-04-15 Face recognition-based keyless entry control system and method

Country Status (1)

Country Link
CN (1) CN113548010A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115171249A (en) * 2022-07-04 2022-10-11 郑州轻大产业技术研究院有限公司 Keyless electronic lock, system and storage medium

Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7110570B1 (en) * 2000-07-21 2006-09-19 Trw Inc. Application of human facial features recognition to automobile security and convenience
KR20080042357A (en) * 2006-11-09 2008-05-15 현대자동차주식회사 Driver certification device and method that do fetters in face realization
US20080309453A1 (en) * 2007-06-14 2008-12-18 Min Seok Kim Apparatus and method for starting automobile engine
CN202686280U (en) * 2012-06-06 2013-01-23 浙江吉利汽车研究院有限公司杭州分公司 Vehicle anti-theft and start-up system based on face recognition
CN104252615A (en) * 2013-06-30 2014-12-31 贵州大学 Face recognition based driver's seat adjusting method
CN104599382A (en) * 2015-01-07 2015-05-06 北京经纬恒润科技有限公司 Authentication method and authentication device for intelligent key
CN105882605A (en) * 2016-04-21 2016-08-24 东风汽车公司 Vehicle anti-theft system and method based on face recognition
US20160280182A1 (en) * 2013-11-15 2016-09-29 Audi Ag Motor vehicle with remote start and subsequent automatic shutdown
CN106274806A (en) * 2016-08-10 2017-01-04 北京小米移动软件有限公司 Automobile trunk operational approach and device
CN106585564A (en) * 2017-02-10 2017-04-26 聚鑫智能科技(武汉)股份有限公司 Intelligent control system for door and engine of vehicle
CN107444316A (en) * 2017-06-23 2017-12-08 福建省汽车工业集团云度新能源汽车股份有限公司 A kind of seat and rearview mirror automatic adjusting method and device
CN108322606A (en) * 2018-01-30 2018-07-24 努比亚技术有限公司 A kind of screen opening method, terminal and computer readable storage medium
CN208801962U (en) * 2018-09-05 2019-04-30 苏州研可智能科技有限公司 The automobile automatic door opener authenticated based on recognition of face and palm multimode
CN109733304A (en) * 2019-01-25 2019-05-10 北京长城华冠汽车科技股份有限公司 Electric vehicle and its control method
CN109895736A (en) * 2019-02-19 2019-06-18 汉腾汽车有限公司 Safe opening door device and safe opening of car door method based on face recognition technology
CN110217196A (en) * 2018-03-02 2019-09-10 上海博泰悦臻网络技术服务有限公司 Door control system and method
CN110765936A (en) * 2019-10-22 2020-02-07 上海商汤智能科技有限公司 Vehicle door control method, vehicle door control device, vehicle door control system, vehicle, electronic equipment and storage medium

Patent Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7110570B1 (en) * 2000-07-21 2006-09-19 Trw Inc. Application of human facial features recognition to automobile security and convenience
KR20080042357A (en) * 2006-11-09 2008-05-15 현대자동차주식회사 Driver certification device and method that do fetters in face realization
US20080309453A1 (en) * 2007-06-14 2008-12-18 Min Seok Kim Apparatus and method for starting automobile engine
CN202686280U (en) * 2012-06-06 2013-01-23 浙江吉利汽车研究院有限公司杭州分公司 Vehicle anti-theft and start-up system based on face recognition
CN104252615A (en) * 2013-06-30 2014-12-31 贵州大学 Face recognition based driver's seat adjusting method
US20160280182A1 (en) * 2013-11-15 2016-09-29 Audi Ag Motor vehicle with remote start and subsequent automatic shutdown
CN104599382A (en) * 2015-01-07 2015-05-06 北京经纬恒润科技有限公司 Authentication method and authentication device for intelligent key
CN105882605A (en) * 2016-04-21 2016-08-24 东风汽车公司 Vehicle anti-theft system and method based on face recognition
CN106274806A (en) * 2016-08-10 2017-01-04 北京小米移动软件有限公司 Automobile trunk operational approach and device
CN106585564A (en) * 2017-02-10 2017-04-26 聚鑫智能科技(武汉)股份有限公司 Intelligent control system for door and engine of vehicle
CN107444316A (en) * 2017-06-23 2017-12-08 福建省汽车工业集团云度新能源汽车股份有限公司 A kind of seat and rearview mirror automatic adjusting method and device
CN108322606A (en) * 2018-01-30 2018-07-24 努比亚技术有限公司 A kind of screen opening method, terminal and computer readable storage medium
CN110217196A (en) * 2018-03-02 2019-09-10 上海博泰悦臻网络技术服务有限公司 Door control system and method
CN208801962U (en) * 2018-09-05 2019-04-30 苏州研可智能科技有限公司 The automobile automatic door opener authenticated based on recognition of face and palm multimode
CN109733304A (en) * 2019-01-25 2019-05-10 北京长城华冠汽车科技股份有限公司 Electric vehicle and its control method
CN109895736A (en) * 2019-02-19 2019-06-18 汉腾汽车有限公司 Safe opening door device and safe opening of car door method based on face recognition technology
CN110765936A (en) * 2019-10-22 2020-02-07 上海商汤智能科技有限公司 Vehicle door control method, vehicle door control device, vehicle door control system, vehicle, electronic equipment and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115171249A (en) * 2022-07-04 2022-10-11 郑州轻大产业技术研究院有限公司 Keyless electronic lock, system and storage medium

Similar Documents

Publication Publication Date Title
US10155524B2 (en) Vehicle with wearable for identifying role of one or more users and adjustment of user settings
CN104816694B (en) One kind is driven condition intelligent adjusting apparatus and method
EP3280621B1 (en) Door access system for a vehicle
JP5630318B2 (en) Smart entry system
US7142696B1 (en) Assistance device in a motor vehicle
US11167725B2 (en) Iris-detection alignment for vehicle feature activation
EP1510423B1 (en) Driver certifying system
US6498970B2 (en) Automatic access to an automobile via biometrics
CN103935324B (en) Method and apparatus for vehicle access control control
CN108520747A (en) A kind of on-vehicle control apparatus with speech identifying function
CN105522970B (en) Method for selecting adjusting mirror
CN109760630A (en) Vehicle and its control method
CN113401067A (en) Automobile central control system and control method for controlling same
CN113548010A (en) Face recognition-based keyless entry control system and method
JP2003237504A (en) Control device for vehicle function
CN110816448A (en) Adjusting control system and method for seat and rearview mirror
JP2021147854A (en) Vehicle controlling device, vehicle controlling method, and program for controlling vehicle
KR20130131719A (en) Face authentication apparatus and method for vehicle
US10592758B2 (en) Occupant monitoring device for vehicle
JP2022129153A (en) Occupant monitoring device of vehicle
US20190236385A1 (en) Occupant monitoring device for vehicle
KR20120055083A (en) Setting system convenient device of vehicle
JP2004330979A (en) Drive controller of vehicle
CN218750657U (en) Intelligent man-machine adjusting system for automobile and automobile
US20220272269A1 (en) Occupant monitoring device for vehicle

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20211026