CN112590706A - Noninductive face recognition vehicle door unlocking system - Google Patents
Noninductive face recognition vehicle door unlocking system Download PDFInfo
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- CN112590706A CN112590706A CN202011504090.XA CN202011504090A CN112590706A CN 112590706 A CN112590706 A CN 112590706A CN 202011504090 A CN202011504090 A CN 202011504090A CN 112590706 A CN112590706 A CN 112590706A
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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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- 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
- B60R2325/10—Communication protocols, communication systems of vehicle anti-theft devices
- B60R2325/101—Bluetooth
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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
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Abstract
The invention provides a non-inductive face recognition vehicle door unlocking system which is used for automatically powering off at regular time and enabling a user to conveniently restart the vehicle door unlocking system when a face recognition component is started in a non-inductive manner, and is characterized by comprising the following steps: the Bluetooth module, infrared proximity sensor, the power management module, face identification module, communication module and the low-power consumption control module who has the timing unit, wherein, the power management module has low-power consumption mode and normal operating mode, in case the Bluetooth module senses user terminal and carries out the bluetooth and connect, the system just changes into normal operating mode and control the timing unit and begin the timing, when the timing before surpassing predetermined standby trigger duration, face identification module does not discern the user and the Bluetooth module remains the bluetooth connected system all the time and just changes into low-power consumption mode, infrared proximity sensor is used for under low-power consumption mode and when the Bluetooth module keeps the bluetooth and connects, the system just changes into normal operating mode when responding to user's action.
Description
Technical Field
The invention relates to a 3D ToF depth camera-based noninductive face recognition vehicle door unlocking system.
Background
Due to the fact that the intelligent development of automobiles is accelerated in recent years, accompanying vehicle-mounted 'black technology' is endless, the requirements of users on automobile use experience are higher and higher, automobile door unlocking is used as the first link of automobile use experience, and more automobile manufacturers concentrate on automobile door unlocking technology.
The automobile can be started and started from a traditional crank starting automobile, a mechanical key, a bracelet and a mobile phone and the current fingerprint identification, and the conversion history of the automobile key is very rapid compared with the development history of the automobile. But the unlocking methods of the prior art have more or less problems, such as safety related to key loss, influence of static electricity or malicious interference on unlocking, whether additional accessories need to be worn, whether unlocking experience is convenient and the like.
In order to ensure the unlocking experience of a user, the existing vehicles adopt an automatic vehicle door unlocking technology, for example, whether the user is a vehicle owner is identified through face identification, and the vehicle door is automatically unlocked when the vehicle owner is identified. However, the components required for face recognition consume a large amount of power reserved in the battery of the vehicle during operation, and once the power is exhausted, the vehicle cannot normally control the vehicle door to automatically unlock the vehicle.
Therefore, some vehicles are through setting up ToF sensor or bluetooth module, when detecting someone and being close to, just start corresponding subassembly and discern whether the person is the car owner to avoid the electric quantity excessive consumption. However, this technique still has the drawback that the components are susceptible to false activation, in particular: for the ToF sensor, whether an approaching object is a car owner cannot be identified, that is, any person approaching a car door triggers the start of the ToF sensor, and meanwhile, if the car stops under a branch, the ToF sensor is frequently started and closed, so that a large amount of battery power is consumed; and for the bluetooth module, if the car owner is not far away from the vehicle, if the vehicle stops downstairs in the user's residence, the bluetooth module just detects user terminal easily and connects, also can frequently start corresponding subassembly and lead to a large amount of consumptions of electric quantity this moment.
Disclosure of Invention
In order to solve the problems, the invention provides a non-inductive face recognition vehicle door unlocking system which can automatically power off at regular time and enable a user to conveniently restart the non-inductive face recognition vehicle door unlocking system when a face recognition component is started in a non-inductive manner, and the invention adopts the following technical scheme:
the invention provides a non-inductive face recognition vehicle door unlocking system, which is used for controlling a vehicle door controller to automatically unlock a vehicle door when a user approaches a vehicle, and is characterized by comprising the following steps: a Bluetooth module, an infrared proximity sensor, a power management module, a face recognition module, a communication module and a low power consumption control module with a timing unit, wherein the Bluetooth module is Bluetooth-paired with a user terminal held by a user in advance, the power management module is used for managing power supply of the face recognition module, and has a low power consumption mode for powering down the face recognition module and a normal operation mode for powering up the face recognition module, the face recognition module is used for carrying out face recognition processing on the user in the normal operation mode, the communication module sends an unlocking signal to a door controller to unlock a door when the face recognition module successfully recognizes, the low power consumption control module controls the power management module to be in the low power consumption mode after the user extinguishes the vehicle and leaves, once the Bluetooth module senses the user terminal and carries out Bluetooth connection, the low power consumption control module controls the power management module to be converted into the normal operation mode and controls the timing unit to start timing, when the timing exceeds the preset standby triggering time, the face recognition module does not recognize the user and the Bluetooth module is always kept in Bluetooth connection, the low-power-consumption control module controls the power management module to be changed into a low-power-consumption mode, the infrared proximity sensor is used for sensing the action of the user within a preset sensing distance when the Bluetooth module is kept in Bluetooth connection in the low-power-consumption mode, and once the infrared proximity sensor senses the action of the user, the low-power-consumption control module controls the power management module to be changed into a normal working mode.
The noninductive face recognition vehicle door unlocking system provided by the invention CAN also have the technical characteristics that the communication module is a CAN module and is connected with a vehicle door controller through a CAN bus, the face recognition processing comprises face detection, face recognition and living body detection, and the face recognition module comprises: the LD transmitting module is used for transmitting LD laser; the ToF Sensor module is used for receiving the LD laser and generating ToF data, and the ToF data comprises near infrared data and depth data; and the MCU module is used for carrying out face detection and face recognition according to the near infrared data and carrying out living body detection according to the near infrared data and the depth data.
The noninductive face recognition vehicle door unlocking system provided by the invention can also have the technical characteristics that the ToF Sensor module is composed of a CCD, an AFE and a SUB driver, the CCD is used for receiving LD laser, the AFE is connected with the CCD, the analog front-end amplifier with variable gain and the analog-digital converter are used, and the SUB driver is used for enabling a modulation signal for driving the LD transmitting module to be consistent with the acquisition time sequence of the CCD.
The non-inductive face recognition vehicle door unlocking system provided by the invention also has the technical characteristics that the face recognition module further comprises a display module for displaying the ToF image corresponding to the ToF data and the recognition result of the human recognition processing.
The noninductive face recognition vehicle door unlocking system provided by the invention can also have the technical characteristics that: the wake-up button is arranged outside the vehicle, wherein the wake-up button is used for enabling a user to wake up the face recognition module by pressing when the Bluetooth module keeps Bluetooth connection in a low-power-consumption mode, and once the wake-up button is pressed and triggered, the low-power-consumption control module controls the power management module to be changed into a normal working mode.
The non-inductive face recognition vehicle door unlocking system provided by the invention can also have the technical characteristics that once the Bluetooth module cannot sense the user terminal and the Bluetooth connection is disconnected, the low-power-consumption control module controls the power management module to be converted into the low-power-consumption mode.
The non-inductive face recognition vehicle door unlocking system provided by the invention can also have the technical characteristics that the Bluetooth module induces the user terminal in the preset broadcast range, the user terminal is provided with a picture storage part and an input display part, the picture storage part stores a broadcast range setting picture, and the input display part is used for displaying the broadcast range setting picture and enabling the user to set the preset broadcast range.
The non-inductive face recognition vehicle door unlocking system provided by the invention can also have the technical characteristics that the preset induction distance is 10-50 cm.
Action and Effect of the invention
According to the non-inductive face recognition vehicle door unlocking system, the low-power-consumption control module is used for controlling the power management module to carry out the conversion between the low-power-consumption mode and the normal working mode, the power management module enables the face recognition module to be powered off in the low-power-consumption mode, and meanwhile broadcasting is carried out only through the Bluetooth module with low energy consumption, so that the quiescent current can be kept below 200uA when a vehicle owner parks or is far away from the vehicle, and the power consumption of the vehicle unlocking system can be well saved. Further, sense user terminal and form the bluetooth and connect at bluetooth module, and the user does not carry out face identification for a long time and leads to changing into the low power consumption mode, infrared proximity sensor just responds to user's action and changes into normal operating mode when sensing user's hand motion, consequently, through such a mode, not only avoided non-user's mistake to touch and lead to frequently triggering normal operating mode and produce a large amount of power consumptions, but also guaranteed that the user can conveniently start vehicle unblock system and get into normal operating mode, promote user experience.
Drawings
FIG. 1 is a system architecture diagram of a sensorless face recognition vehicle door unlocking system in an embodiment of the invention;
FIG. 2 is a software architecture diagram of an MCU module in an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating the relationship between the MCU module, the ToF Sensor module and the LD transmitting module according to the embodiment of the present invention; and
fig. 4 is a flowchart of a door unlocking process in the embodiment of the invention.
Detailed Description
In order to make the technical means, the creation features, the achievement purposes and the effects of the invention easy to understand, the invention provides a system for unlocking a door by a non-sensory face recognition, which is specifically described below with reference to the embodiments and the accompanying drawings.
< example >
Fig. 1 is a block diagram of a sensorless face recognition vehicle door unlocking system in the embodiment of the invention.
As shown in fig. 1, a sensorless face recognition vehicle door unlocking system 100 (hereinafter referred to as system 100) includes a bluetooth module 101, an infrared proximity sensor 102, a wake-up button 103, a low power consumption control module 104, a power management module 105, a face recognition module 106, and a communication module 107(CAN module).
In this embodiment, the non-inductive face recognition vehicle door unlocking system 100 is disposed on a vehicle of a user, and the vehicle is further provided with a vehicle door controller 201 for unlocking a vehicle door and a vehicle-mounted power supply 202 capable of supplying power to the non-inductive face recognition vehicle door unlocking system 100.
The whole system 100 has a low power consumption mode and a normal operation mode, and when a user leaves the vehicle, the system 100 can be in the low power consumption mode for a long time, so that the power consumption is saved; when a user holds a user terminal 301 (e.g., a mobile phone) and approaches a vehicle, the bluetooth module 101 of the system 100 senses the bluetooth connection of the user terminal 301 and enters a normal operation mode, which will be described in detail below.
The bluetooth module 101 is used for connecting and communicating with the user terminal 301 through a bluetooth protocol. This bluetooth module 101 has two kinds of mode: broadcast mode and transmission mode.
In the broadcast mode, the bluetooth module 101 performs bluetooth broadcast according to a predetermined broadcast range, thereby detecting the ue 301 within the predetermined broadcast range. When the bluetooth module 101 and the user terminal 301 successfully establish the bluetooth connection, a connection success signal is sent to the low power consumption control module 104; when the user terminal 301 leaves the predetermined broadcast range so that the bluetooth module 101 disconnects the bluetooth connection, a disconnection signal is transmitted to the low power consumption control module 104. In this embodiment, the connection success signal and the connection disconnection signal are both an EN signal.
In the transmission mode, the bluetooth module 101 serves as a transparent transmission module and can communicate with the MCU module 62 of the face recognition module 106 through a UART (serial port).
In actual use, when the user terminal 301 establishes a connection with the bluetooth module 101 for the first time, a manual connection is required by the user. Specifically, the method comprises the following steps: the mobile phone 301 may be provided with an App corresponding to the system 100, and the user inputs a password through the App and completes the first connection with the bluetooth module 101. Once the connection is successful, any subsequent Bluetooth connection does not need the user to open the mobile phone App again or the App is in an active state, and the non-inductive triggering can be realized.
In addition, through the App, the mobile phone may also display a broadcast range setting screen, so that the user can set the broadcast range of the bluetooth module 101.
In this embodiment, the factory password of each bluetooth module 101 is the same, and the user can modify the password through the App of the mobile phone 301.
The infrared proximity sensor 102 is capable of sensing a hand waving motion of a user within a predetermined sensing range and sending an EN signal to the low power consumption control module 104 when sensing is triggered. The sensing distance of the infrared proximity sensor is 10-50cm, and the sensing distance can be configured and adjusted according to actual conditions.
When the bluetooth of the mobile phone 301 is connected to the bluetooth module 101, the system 100 enters a normal operation mode. However, the normal operation mode is power-consuming and cannot be in this mode for a long time, so if the user does not perform the operation of face recognition to unlock the door for a while, the system 100 will automatically enter the low power mode, and at this time, if the user needs to perform the face recognition unlocking, the system must be woken up, and the infrared proximity sensor 102 is used to wake up the system 100 to enter the normal operation mode in the case where the bluetooth module 101 is in the bluetooth connection state and the system 100 enters the low power mode.
The wake-up button 103 is used to send an active level signal to the low power control module 104 when pressed by the user.
In this embodiment, the wake-up button 103 has the same function as the infrared proximity sensor 102, and is used to wake up the system 100 to enter a normal operating mode when the bluetooth module 101 is in bluetooth connection.
The low power control module 104 is used to control the whole system 100 to switch between the low power mode and the normal operation mode.
The power management module 105 is configured to manage power of the face recognition module 106 according to an output of the low power consumption control module 104.
In this embodiment, the low power consumption control module 104 mainly controls the power management module 105 to implement mode switching of the system 100, specifically:
in the low power consumption mode, the low power consumption control module 104 controls the power management module 105 to power down the face recognition module 106, so that only the broadcasting bluetooth module 101 in the whole system 100 generates power consumption, and at this time, the average current of the whole system 100 is below 200uA (microampere), and the minimum can reach 18 uA.
In the normal operation mode, the low power consumption control module 104 controls the power management module 105 to power on the face recognition module 106, as shown in fig. 1, a DC 12V power flows through the bluetooth module 101, the low power consumption control module 104, and the power management module 105 to reach the face recognition module 106, and at this time, the whole system 100 operates normally and has a large power consumption.
In this embodiment, the low power consumption control module 104 has a timing unit, and the timing unit performs timing in the normal operation mode. Once the timing unit exceeds the preset standby trigger time and no face recognition operation is sensed by the face recognition module during the time, the low power consumption control module 104 controls the system 100 to change from the normal operation mode to the low power consumption mode.
The conditions from the low power consumption mode to the normal operation mode include: the bluetooth module 101 is paired, the infrared proximity sensor 102 is triggered, and the wakeup button 103 is pressed. The conditions from the normal operation mode to the low power consumption mode include: the bluetooth module 101 is disconnected (i.e. the user terminal 301 leaves the predetermined broadcast range of the bluetooth module 101), the timing of the timing unit exceeds the standby trigger duration, the MCU sends a Shutdown command, etc.
The face recognition module 106 is configured to perform face recognition on a user, and the face recognition module 106 includes a display module 61, an MCU module 62, a ToF Sensor module 63, and an LD transmitting module 64.
The display module 61 is a human-computer interaction interface, and is used for displaying ToF images, face frames, face recognition results and the like, and is connected with the MCU module 62 through an MIPI DSI2 interface. In this embodiment, the display module 61 is mainly used to respectively display corresponding results to remind the user when the face recognition is successful and the face recognition is failed.
The MCU module 62 is the most important module of the overall system 100. As shown in fig. 1, the MCU module 62 is connected to the ToF Sensor module 63 via I2C and MIPI CSI2 interfaces, and communicates with the bluetooth module 101 and the CAN module 106 via UART serial ports. Through the I2C interface, the MCU module 62 can control the characteristics of the ToF Sensor module 63; through the MIPI CSI2 interface, the MCU module 62 may acquire ToF data generated by the ToF Sensor module 63.
Fig. 2 is a software architecture diagram of the MCU module in an embodiment of the present invention.
The MCU module 62 runs with multiple processes, as shown in fig. 2, the processes in the MCU module 62 are sys _ manager, ipc _ lib, ble _ server, display app, face _ server, camera _ lib, face _ lib, can _ server, and v4l2_ i2c _ driver.
Wherein, sys _ manager is responsible for controlling and managing the starting of other processes and the establishment of communication.
ipc _ lib is responsible for communication among several processes, sys _ manager, ble _ server, display app, face _ server, and can _ server.
ble _ server is responsible for receiving an AT command (for example, a command AT + face _ r \ n for registering a face) sent by the bluetooth module 101, sending the AT command to a process which should process the command through the ipc _ lib according to the meaning of the command, and receiving the processing result of the command and feeding the processing result back to the bluetooth module 101.
The display app is a process corresponding to the display module 61, and is used to control display of elements such as a ToF image, a face frame, and a face recognition result.
The face _ server is used for realizing the functions of face detection, face recognition, living body detection and the like according to the ToF data generated by the ToF Sensor module 63. Wherein, the acquisition of the ToF data is realized through a camera _ lib, and the camera _ lib acquires the ToF data by calling a v4l2 related interface; face detection, face recognition and living body detection are realized through face _ lib.
v4l2_ i2c _ driver is the underlying driver of the ToF device, which is used to initialize and control the ToF device.
The CAN _ server is responsible for sending an unlocking signal to the CAN module 107 after face recognition of the face _ server is successful. In this embodiment, the unlocking signal is a TTL signal.
FIG. 3 is a schematic diagram illustrating the relationship between the MCU module, the ToF Sensor module and the LD transmitting module according to the embodiment of the present invention.
The ToF Sensor module 63 is responsible for generating and transmitting ToF data. The ToF data is divided into near infrared data and depth data, the near infrared data is used for face detection and face recognition, and the near infrared data and the depth data are used for living body detection.
As shown in fig. 3, the ToF Sensor module 63 is mainly composed of a CCD, an AFE, and a SUB Driver (SUB Driver).
The CCD has target surface size of 1/4 ″, resolution of VGA (640 × 480), frame rate of 30FPS, and is responsible for receiving LD laser.
The afe (ccd processor) includes a programmable timing TOF processor, a 45MHZ ADC, and a variable gain analog front end amplifier. In this embodiment, the AFE amplifies and converts the analog signal generated by the CCD after receiving the LD laser, and forms a corresponding digital signal to be sent to the MCU module 62 through v4l2_ i2c _ driver.
The SUB Driver (SUB Driver) ensures that the modulation signal for driving the VCSEL is consistent with the CCD acquisition time sequence, so as to ensure the distance measurement precision of the module.
The LD emission module 64 employs a VCSEL emission source for emitting laser light of 940nm or 850nm wavelength. The emitted laser light is reflected back through the object to the lens and then received by the CCD in the ToF Sensor module 63. In the LD emitting module 64, the LD Driver is a driving circuit of the LD/LED, and is used to improve the driving capability of the laser LD.
The communication module 107 is a CAN module and is responsible for converting an unlocking signal (TTL signal) output by the MCU module 62 through the UART into a CAN signal.
In this embodiment, the CAN module 107 is in a transparent transmission mode, the data sent and received by the serial port is a CAN message on the CAN bus, and the data format of the CAN bus is encapsulated by the CAN module, so that the TTL and the CAN physical interface are exchanged without changing the data content.
Fig. 4 is a flowchart of a door unlocking process in the embodiment of the invention.
The system 100 is in low power consumption mode standby when the vehicle is parked and the user is far away, and once the user holds the user terminal 301 and approaches the vehicle, as shown in fig. 4, the following steps are started:
step S1, the bluetooth module 101 senses that the user terminal 301 enters the predetermined broadcast range and completes the bluetooth connection, further sends a connection success signal to the low power consumption control module 104 when completing the bluetooth connection, and then proceeds to step S2;
step S2, the low power consumption control module 104 controls the power management module 105 to switch from the low power consumption mode to the normal operation mode, and starts the timing unit to time, and then proceeds to step S3;
in step S3, the power management module 105 powers on the face recognition module 106, and then proceeds to step S4;
step S4, the low power consumption control module 104 determines whether the timing duration of the timing unit exceeds the standby trigger duration, if yes, the step S5 is entered, and if not, the step S7 is entered;
step S5, the low power consumption control module 104 controls the power management module 105 to switch from the normal operation mode to the low power consumption mode, and then proceeds to step S6;
step S6, the infrared proximity sensor 102 senses that the waving motion of the user or the wake-up button 103 is pressed, and sends a corresponding signal to the low power consumption control module 104, and then the process goes to step S2;
step S7, the face recognition module 106 determines whether a face is recognized, if yes, the process goes to step S8, and if not, the process goes to step S4;
step S8, the face recognition module 106 judges whether the recognized face is the owner of the vehicle, if so, the step S9 is entered, if not, the face recognition result is displayed through the display module 61 to prompt the user that the face recognition is wrong, and the step S7 is entered;
in step S9, the MCU module 62 sends an unlock signal to the CAN module 107 and outputs the unlock signal to the door controller 201 to unlock the door, and then enters an end state.
In addition, in the above process, once the user terminal 301 leaves the broadcast range of the bluetooth module 101 so that the bluetooth module 101 disconnects the bluetooth connection, the bluetooth module 101 sends a disconnection signal to the low power consumption control module 104, and at this time, the low power consumption control module 104 directly controls the power management module 105 to switch from the normal operation mode to the low power consumption mode.
Examples effects and effects
According to the noninductive face recognition vehicle door unlocking system provided by the embodiment, the low-power-consumption control module is used for controlling the power management module to carry out the conversion between the low-power-consumption mode and the normal working mode, the power management module enables the face recognition module to be powered off in the low-power-consumption mode, and meanwhile, the broadcasting is carried out only through the Bluetooth module with low energy consumption, so that the quiescent current can be kept below 200uA when a vehicle owner parks or is far away from the vehicle, and the power consumption of the vehicle unlocking system can be well saved. Further, sense user terminal and form the bluetooth and connect at bluetooth module, and the user does not carry out face identification for a long time and leads to changing into the low power consumption mode, infrared proximity sensor just responds to user's action and changes into normal operating mode when sensing user's hand motion, consequently, through such a mode, not only avoided non-user's mistake to touch and lead to frequently triggering normal operating mode and produce a large amount of power consumptions, but also guaranteed that the user can conveniently start vehicle unblock system and get into normal operating mode, promote user experience.
In addition, in the embodiment, the face recognition module adopts a VCSEL emission source with a wavelength band of 940nm as an LD emission module, so that the face recognition effect under strong light can be effectively improved; and because the face recognition is carried out through the near infrared data of the ToF depth camera, the living body detection is carried out by using the depth data and the near infrared data, the living body detection mode does not need the user to coordinate the actions of blinking, opening the mouth and the like, the user experience is improved, in addition, the attacks of means such as pictures, videos, 3D printing face models and the like can be effectively prevented, and the unlocking safety is improved.
In addition, in the embodiment, because the vehicle is further provided with the wake-up button, when the bluetooth module senses the user terminal and forms bluetooth connection and the system is in the low power consumption mode, the user can also start the vehicle door unlocking system by pressing the wake-up button, so that more choices are provided for the user, and the use by the user is facilitated.
In addition, in the embodiment, the user terminal enables the user to set the broadcast range of the bluetooth module through the broadcast range setting picture, so that the user can randomly adjust the broadcast range according to the self requirement, and the user experience can be improved.
The above-described embodiments are merely illustrative of specific embodiments of the present invention, and the present invention is not limited to the description of the above-described embodiments.
For example, in the above embodiment, besides the infrared proximity sensor, a wake-up button is further provided to assist a user in waking up the system and entering a normal operating mode, but the wake-up button often involves waterproof and other processing, and the implementation difficulty is large. Therefore, as an alternative, the system may not be provided with a wake-up button, and the wake-up is realized only by the infrared proximity sensor, so that the effect of the present invention can also be realized.
Claims (8)
1. A noninductive face recognition vehicle door unlocking system is used for controlling a vehicle door controller to automatically unlock a vehicle door when a user approaches to a vehicle, and is characterized by comprising:
a Bluetooth module, an infrared proximity sensor, a power management module, a face recognition module, a communication module and a low power consumption control module with a timing unit,
wherein the Bluetooth module is Bluetooth-paired with the user terminal held by the user in advance,
the power supply management module is used for managing the power supply of the face recognition module and has a low power consumption mode for powering off the face recognition module and a normal working mode for powering on the face recognition module,
the face recognition module is used for carrying out face recognition processing on the user in the normal working mode,
the communication module sends an unlocking signal to the vehicle door controller to unlock the vehicle door when the face recognition module successfully recognizes,
the low power consumption control module controls the power management module to be in the low power consumption mode after the user extinguishes and leaves the vehicle,
once the Bluetooth module senses the user terminal and performs Bluetooth connection, the low power consumption control module controls the power management module to change to the normal working mode and controls the timing unit to start timing,
when the timing exceeds the preset standby triggering time, the face recognition module does not recognize the user and the Bluetooth module always keeps the Bluetooth connection, the low-power-consumption control module controls the power management module to be switched into the low-power-consumption mode,
the infrared proximity sensor is used for sensing the action of the user within a preset sensing distance when the Bluetooth module keeps the Bluetooth connection in the low power consumption mode,
once the infrared proximity sensor senses the user's motion, the low power consumption control module controls the power management module to transition to the normal operating mode.
2. The sensorless face recognition vehicle door unlocking system according to claim 1, characterized in that:
wherein the communication module is a CAN module and is connected with the vehicle door controller through a CAN bus,
the face recognition processing comprises face detection, face recognition and living body detection,
the face recognition module includes:
the LD transmitting module is used for transmitting LD laser;
the ToF Sensor module is used for receiving the LD laser and generating ToF data, and the ToF data comprises near infrared data and depth data; and
and the MCU module is used for carrying out the face detection and the face recognition according to the near infrared data and carrying out the living body detection according to the near infrared data and the depth data.
3. The sensorless face recognition vehicle door unlocking system according to claim 2, characterized in that:
wherein, the ToF Sensor module is composed of a CCD, an AFE and a SUB driver,
the CCD is used for receiving the LD laser,
the AFE is connected with the CCD, and is provided with an analog front end amplifier with variable gain and an analog-to-digital converter,
the SUB driver is used for enabling a modulation signal for driving the LD transmitting module to be consistent with the acquisition time sequence of the CCD.
4. The sensorless face recognition vehicle door unlocking system according to claim 2, characterized in that:
the face recognition module further comprises a display module for displaying the ToF image corresponding to the ToF data and the recognition result of the person recognition processing.
5. The system for noninductive face recognition unlocking of a vehicle door according to claim 1, further comprising:
a wake-up button disposed outside the vehicle,
wherein the wake-up button is used for enabling the user to wake up the face recognition module by pressing when the Bluetooth module keeps the Bluetooth connection in the low power consumption mode,
once the wake-up button is pressed and triggered, the low-power consumption control module controls the power management module to be converted into the normal working mode.
6. The sensorless face recognition vehicle door unlocking system according to claim 1, characterized in that:
and once the Bluetooth module cannot sense the user terminal and disconnects the Bluetooth connection, the low-power-consumption control module controls the power management module to be converted into a low-power-consumption mode.
7. The sensorless face recognition vehicle door unlocking system according to claim 1, characterized in that:
wherein the Bluetooth module senses the user terminal within a predetermined broadcast range,
the user terminal has a screen storage section and an input display section,
the picture storage part stores a broadcast range setting picture,
the input display part is used for displaying the broadcast range setting picture and enabling the user to set the preset broadcast range.
8. The sensorless face recognition vehicle door unlocking system according to claim 1, characterized in that:
wherein the predetermined sensing distance is 10-50 cm.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113160463A (en) * | 2021-05-26 | 2021-07-23 | 北京旗偲智能科技有限公司 | Method and device for starting user identification device of vehicle and automobile control cloud |
CN115331334A (en) * | 2022-07-13 | 2022-11-11 | 神通科技集团股份有限公司 | Intelligent stand column based on face recognition and Bluetooth unlocking and unlocking method |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105164550A (en) * | 2014-02-28 | 2015-12-16 | 松下知识产权经营株式会社 | Distance measurement device and distance measurement method |
US20170263062A1 (en) * | 2016-03-08 | 2017-09-14 | Continental Intelligent Transportation Systems, LLC | Secure smartphone based access and start authorization system for vehicles |
CN207706284U (en) * | 2017-12-08 | 2018-08-07 | 余姚舜宇智能光学技术有限公司 | TOF circuit modules and TOF modules |
CN109816830A (en) * | 2019-01-31 | 2019-05-28 | 新华三技术有限公司 | A kind of unlocking method and device |
CN110335389A (en) * | 2019-07-01 | 2019-10-15 | 上海商汤临港智能科技有限公司 | Car door unlocking method and device, system, vehicle, electronic equipment and storage medium |
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 |
WO2020175758A1 (en) * | 2019-02-28 | 2020-09-03 | 송혜선 | Control system for quick vehicle start using smart terminal and face recognition information, and control method for vehicle start using same |
-
2020
- 2020-12-18 CN CN202011504090.XA patent/CN112590706A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105164550A (en) * | 2014-02-28 | 2015-12-16 | 松下知识产权经营株式会社 | Distance measurement device and distance measurement method |
US20170263062A1 (en) * | 2016-03-08 | 2017-09-14 | Continental Intelligent Transportation Systems, LLC | Secure smartphone based access and start authorization system for vehicles |
CN207706284U (en) * | 2017-12-08 | 2018-08-07 | 余姚舜宇智能光学技术有限公司 | TOF circuit modules and TOF modules |
CN109816830A (en) * | 2019-01-31 | 2019-05-28 | 新华三技术有限公司 | A kind of unlocking method and device |
WO2020175758A1 (en) * | 2019-02-28 | 2020-09-03 | 송혜선 | Control system for quick vehicle start using smart terminal and face recognition information, and control method for vehicle start using same |
CN110335389A (en) * | 2019-07-01 | 2019-10-15 | 上海商汤临港智能科技有限公司 | Car door unlocking method and device, system, vehicle, electronic equipment and storage medium |
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 (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113160463A (en) * | 2021-05-26 | 2021-07-23 | 北京旗偲智能科技有限公司 | Method and device for starting user identification device of vehicle and automobile control cloud |
CN115331334A (en) * | 2022-07-13 | 2022-11-11 | 神通科技集团股份有限公司 | Intelligent stand column based on face recognition and Bluetooth unlocking and unlocking method |
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