CN114407828A

CN114407828A - Vehicle control method and device, electronic device and storage medium

Info

Publication number: CN114407828A
Application number: CN202210112838.4A
Authority: CN
Inventors: 陈筱; 范亦卿; 陶莹; 许亮
Original assignee: Shanghai Sensetime Lingang Intelligent Technology Co Ltd
Current assignee: Shanghai Sensetime Lingang Intelligent Technology Co Ltd
Priority date: 2022-01-29
Filing date: 2022-01-29
Publication date: 2022-04-29

Abstract

The present disclosure relates to a vehicle control method and apparatus, an electronic device, and a storage medium, which perform face recognition by acquiring a face image of a person near a vehicle, and acquire a body image of the person in a case where it is determined that the person has a door lock control authority according to a result of the face recognition. Further, the body image is subjected to motion recognition, and the vehicle is controlled according to the result of the motion recognition. The vehicle control method and the vehicle control device have the advantages that the vehicle control is carried out by combining two modes of action recognition and face recognition, and the accuracy and the user experience in the vehicle control process are improved.

Description

Vehicle control method and device, electronic device and storage medium

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a vehicle control method and apparatus, an electronic device, and a storage medium.

Background

As the progress of automobile intelligence continues to advance, more and more traditional automobile components are energized by the AI. The user can control the vehicle outside the vehicle through the modes of fingerprints, Bluetooth and the like. However, the control modes such as fingerprint and bluetooth cannot meet the requirements of users for controlling various types of vehicles, and user experience is affected.

Disclosure of Invention

The disclosure provides a vehicle control method and device, electronic equipment and a storage medium, and aims to improve the accuracy of a vehicle control process.

According to a first aspect of the present disclosure, there is provided a vehicle control method including:

acquiring a face image of a person close to a vehicle;

carrying out face recognition on the face image;

under the condition that the person is determined to have the door lock control authority according to the face recognition result, acquiring a body image of the person;

performing motion recognition on the body image;

and controlling the vehicle according to the action recognition result.

In a possible implementation manner, the acquiring a body image of the person in the case that it is determined that the person has the door lock control authority according to the result of the face recognition includes:

and sending prompt information before acquiring the body image of the person under the condition that the person is determined to have the door lock control authority according to the face recognition result, wherein the prompt information is used for prompting the person to perform action control.

In a possible implementation manner, the sending the prompt message includes at least one of the following:

sending prompt information for displaying action control reminding content to the display screen arranged on the vehicle body;

sending the prompt information through a vehicle body prompt lamp;

and sending voice information for prompting the person to perform action control to the vehicle-mounted audio equipment.

In one possible implementation manner, the controlling the vehicle according to the result of the motion recognition includes:

and controlling at least one of a window, a driver seat and a door electromagnetic lock of the vehicle according to the action recognition result.

In one possible implementation manner, the method further includes:

and unlocking the vehicle door under the condition that the person is determined to have the vehicle door lock control authority according to the face recognition result.

In one possible implementation, the body image comprises a hand image,

the motion recognition of the body image comprises:

and performing gesture recognition on the hand image.

In one possible implementation, the hand image comprises a plurality of frames of hand images in a video stream,

the gesture recognition of the hand image comprises:

under the condition that the gesture recognition result of at least one frame in the multiple frames of hand images comprises a hand-waving downward gesture, controlling the vehicle window to descend, and acquiring the gesture recognition result of a subsequent frame of the hand image of which the gesture recognition result comprises the hand-waving downward gesture;

and controlling the seat of the vehicle to move along with the horizontal direction of the hand waving when the gesture recognition result of the subsequent frame comprises the gesture of the hand waving in the horizontal direction.

According to a second aspect of the present disclosure, there is provided a vehicle control apparatus including:

the first image acquisition module is used for acquiring a face image of a person close to a vehicle;

the face recognition module is used for carrying out face recognition on the face image;

the second image acquisition module is used for acquiring a body image of the person under the condition that the person is determined to have the door lock control authority according to the face recognition result;

the motion recognition module is used for performing motion recognition on the body image;

and the vehicle control module is used for controlling the vehicle according to the action recognition result.

In one possible implementation, the second image obtaining module includes:

and the information prompting submodule is used for sending prompting information before acquiring the body image of the person under the condition that the person is determined to have the door lock control authority according to the face recognition result, wherein the prompting information is used for prompting the person to perform action control.

In one possible implementation, the information prompting sub-module includes at least one of:

the first prompting unit is used for sending prompting information for displaying the action control prompting content to the display screen arranged on the vehicle body;

the second prompting unit is used for sending the prompting information through a vehicle body prompting lamp;

and the third prompting unit is used for sending voice information for prompting the person to perform action control to the vehicle-mounted audio equipment.

In one possible implementation, the vehicle control module includes:

and the vehicle control submodule is used for controlling at least one of a vehicle window, a driver seat and a vehicle door electromagnetic lock of the vehicle according to the action recognition result.

In one possible implementation manner, the method further includes:

and the vehicle unlocking module is used for unlocking the vehicle door under the condition that the person is determined to have the vehicle door lock control authority according to the face recognition result.

In one possible implementation, the body image comprises a hand image,

the action recognition module includes:

and the gesture recognition submodule is used for performing gesture recognition on the hand image.

the gesture recognition submodule comprises:

the vehicle window control unit is used for controlling the vehicle window to descend under the condition that the gesture recognition result of at least one frame in the multiple frames of hand images comprises a hand-waving downward gesture, and acquiring the gesture recognition result of the subsequent frame of the hand image of which the gesture recognition result comprises the hand-waving downward gesture;

and the seat control unit is used for controlling the seat of the vehicle to move along with the horizontal hand waving direction under the condition that the gesture recognition result of the subsequent frame comprises the gesture of waving the hand in the horizontal direction.

According to a third aspect of the present disclosure, there is provided an electronic device comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the memory-stored instructions to perform the above-described method.

According to a fourth aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method.

The vehicle control method and the vehicle control device have the advantages that the vehicle control is carried out by combining two modes of action recognition and face recognition, and the accuracy and the user experience in the vehicle control process are improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure.

FIG. 1 shows a flow chart of a vehicle control method according to an embodiment of the disclosure;

FIG. 2 shows a schematic diagram of a vehicle control process according to an embodiment of the present disclosure;

FIG. 3 shows a schematic diagram of a vehicle control apparatus according to an embodiment of the present disclosure;

FIG. 4 shows a schematic diagram of an electronic device in accordance with an embodiment of the disclosure;

fig. 5 shows a schematic diagram of another electronic device according to an embodiment of the present disclosure.

Detailed Description

Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.

Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.

In the embodiment of the present disclosure, the vehicle control method may be executed by any electronic device such as a terminal device or a server. The terminal device may be any fixed or mobile terminal such as a User Equipment (UE), a mobile device, a User terminal, a cellular phone, a cordless phone, a Personal Digital Assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, and a wearable device. The server may be a single server or a server cluster composed of a plurality of servers. The electronic device may implement the vehicle control method of the disclosed embodiments by way of the processor invoking computer readable instructions stored in the memory.

Fig. 1 shows a flowchart of a vehicle control method according to an embodiment of the present disclosure, which may include the following steps S10-S50, as shown in fig. 1.

Step S10, a face image of a person near the vehicle is acquired.

In one possible implementation, a facial image of a person near a vehicle is acquired by an electronic device. Alternatively, the face image may be acquired by an image acquisition device installed inside or outside the vehicle and capable of acquiring scene information outside the vehicle. The image capturing device may be installed outside the vehicle and located at any position where a scene outside the vehicle can be captured, for example, a front pillar, a center pillar, or a rear pillar of the vehicle. Alternatively, the image capturing device may be mounted inside the vehicle, and the capturing direction of the lens may be toward the outside of the vehicle.

Further, the image capturing device may be directly in communication connection with an electronic device that executes the vehicle control method of the embodiment of the present disclosure. For example, when the electronic device executing the vehicle control method according to the embodiment of the present disclosure is an in-vehicle control device, when it is detected that a person approaches the vehicle, the vehicle control device may control the image capturing device to capture a face of the person outside the vehicle to obtain a face image, and further, the in-vehicle control device may directly execute the vehicle control method according to the face image. Alternatively, the image capturing apparatus may not be in communication connection with the electronic device that executes the vehicle control method according to the embodiment of the present disclosure. For example, when the electronic device executing the vehicle control method according to the embodiment of the present disclosure is a server of an in-vehicle control device, when it is detected that a person approaches the vehicle, the vehicle control device may control the image capturing device to capture a face of the person outside the vehicle to obtain a face image, and further upload the face image to the server, so as to execute the vehicle control method according to the face image through the server.

In a possible implementation manner, in order to avoid the problem of energy consumption caused by continuously acquiring the images outside the vehicle under the condition that no person exists near the vehicle, or in order to avoid the condition that the images of the face of the person are not acquired in time for vehicle control after the person needing vehicle control appears near the vehicle, the vehicle-mounted control device can control the image acquisition device to acquire the images of the person outside the vehicle to obtain the face images under the condition that the person is detected to be close to the vehicle. Alternatively, the person needing vehicle control may be detected to approach the vehicle in one or more ways, for example, it may be determined that the person needing vehicle control approaches the vehicle when the electronic device or the vehicle-mounted control device detects that the distance between the bluetooth device carried by the vehicle user and the vehicle is smaller than the distance threshold. Or, the electronic device or the vehicle-mounted control device may determine that a person needing vehicle control approaches the vehicle when receiving an unlocking request sent by a vehicle user through the user device.

Optionally, in order to avoid that the facial features of the acquired vehicle exterior image characters are blurred due to the fact that the image acquisition process is not perceived by the characters and the problems of character movement or acquisition angle are caused in the image acquisition process, the characters can be prompted to need to carry out image acquisition before image acquisition so as to acquire the vehicle exterior image comprising the clear character facial features. That is, the process of acquiring an off-board image sequence including at least one off-board image may include: an image capture prompt is sent to notify the person to begin image capture to perform the vehicle control process. And then responding to the fact that the field angle of the image acquisition device comprises a person, and acquiring the image to obtain a face image. Namely, after the electronic equipment sends an image acquisition prompt to inform the person near the vehicle of starting image acquisition, the electronic equipment starts image acquisition when detecting that the field angle of the image acquisition device comprises the person, and a face image is obtained. Further, the image capture prompt may be sent after detecting that the person is close to the vehicle, i.e., in response to detecting that the distance between the person and the vehicle is less than the distance threshold, the image capture prompt is sent. The image capture prompt may be prompted in a voice manner, or displayed by text, images, or the like on a display device installed outside the vehicle. The prompt may further request that the user perform certain actions to confirm that their facial image is allowed to be captured and used, such as requesting that the user activate a microswitch of the vehicle, etc. Further, the image acquisition device can acquire a plurality of images continuously and determine the image with the highest quality as the face image.

And step S20, carrying out face recognition on the face image.

In a possible implementation manner, after the face image is determined, face recognition may be performed on the face image to obtain a face recognition result. Optionally, the face recognition result is used for representing whether the person in the face image has the door lock control authority. That is to say, after the electronic device acquires the face image, the electronic device may obtain a face recognition result through any face recognition method to determine whether a person near the vehicle has the door lock control authority. The process of face recognition can be to directly input face images into a face recognition model obtained by training to obtain corresponding user information. Further, the electronic device acquires user information corresponding to the current vehicle, when the user information obtained by face recognition model recognition is the user information corresponding to the current vehicle, it is determined that the people near the current vehicle are matched with the vehicle, and it is determined that the face recognition result is successful, that is, the face recognition result is that the people near the vehicle have the door lock control authority. And when the user information obtained by the face recognition model is not the user information corresponding to the current vehicle, determining that the people near the current vehicle are not matched with the vehicle, and determining that the face recognition result is recognition failure, namely that the people near the vehicle do not have the door lock control authority.

Further, the electronic device may unlock the door in a case where it is determined that the person has the door lock control authority according to the result of the face recognition.

And step S30, acquiring the body image of the person under the condition that the person is determined to have the door lock control authority according to the face recognition result.

In one possible implementation manner, in the case that it is determined that the person has the door lock control authority according to the result of the face recognition, the electronic device acquires the body image of the person again to judge that the person needs to control the vehicle according to the body image. The body image may comprise a plurality of frames of images in a video stream, among others. Alternatively, the image capturing device that captures the body image may be the same as or different from the image capturing device that captures the face image.

Alternatively, in order to accurately acquire a body image capable of controlling a vehicle, prompt information for prompting a person to perform motion control is transmitted before the body image of the person is acquired in a case where it is determined that the person has a door lock control authority based on a result of face recognition. The prompting information can prompt the person in any at least one mode of voice format, text format, image format and the like. For example, the electronic device may send a prompt message showing the motion control reminder to a display screen provided on the vehicle body (e.g., embedded in the B-pillar position) to display the prompt message in the form of text and image through the display screen of the vehicle body. Meanwhile, the electronic equipment can also send prompt information through the vehicle body prompt lamp so as to remind people of acquiring body images through modes such as the color of the prompt lamp or the flashing rule. The electronic equipment can also send voice information for prompting the person to perform action control to the vehicle-mounted audio equipment, so that the prompting information is played to the person in a voice information mode. The electronic device may acquire the physical information of the person after transmitting the prompt information.

Further, in order to avoid missing the motion of the person in the body image captured by the electronic device, the image capturing device may be controlled to continuously capture a plurality of person images immediately after the prompt information is sent to obtain a video stream, and at least one frame of image which includes the body of the person and has high definition may be screened out from the video stream to be used as the body image. Alternatively, when the body image includes a plurality of frames, the arrangement order according to each frame in the body image is determined according to the acquisition order.

And step S40, performing motion recognition on the body image.

In one possible implementation manner, after determining the body image, the electronic device performs motion recognition on the motion of the person near the vehicle according to the body image. The motion may be a limb motion, such as the body taking a particular gesture. Alternatively, the motion recognition process may be to directly input the body image into a motion recognition model obtained through pre-training, so as to obtain a corresponding motion recognition result.

Further, the body image of the person may include a hand image, and the motion recognition result may be obtained by extracting a hand region in the body image to obtain the hand image for motion recognition. The process of performing motion recognition on the hand image may be performing gesture recognition on the hand image. The process of performing motion recognition on the hand image can determine a recognition result through a trained gesture recognition model. The gesture recognition model can be obtained by training according to a training set, and the training set comprises a plurality of sample images with marked actions. The determination process of the training set can be to acquire a sample image by performing image acquisition in the process of executing the preset action by the person, and take the action type corresponding to the preset action executed by the person as the annotation action. The action type corresponding to the preset action can be preset, for example, a clockwise rotation of the index finger is set as an unlocking gesture, a swinging action of the palm upwards and downwards is set as a window lifting gesture, and a swinging action of the palm leftwards and rightwards is set as a front-back adjustment gesture of the seat.

Optionally, when the body image includes multiple frames of body images in the video stream, the hand region in each frame of body image is extracted to obtain a corresponding hand image. Therefore, the hand images may include multiple frames of hand images in a video stream, and the process of performing gesture recognition on the hand images may be: and under the condition that the gesture recognition result of at least one frame in the multiple frames of hand images comprises a hand-waving downward gesture, controlling the vehicle window to descend, acquiring the gesture recognition result of the subsequent frame of the hand image of which the gesture recognition result comprises the hand-waving downward gesture, and under the condition that the gesture recognition result of the subsequent frame comprises the hand-waving gesture in the horizontal direction, controlling the vehicle seat to move along with the horizontal direction of the hand-waving.

In this way, after the user opens the window through the downward hand waving gesture, if the seat position needs to be adjusted is observed through the window, for example, the seat position of the driver seat can be adjusted through the horizontal hand waving gesture, and the door is opened after the seat position is adjusted to a proper position convenient for getting on the vehicle.

Further, the body image and the face image in the embodiment of the present disclosure may also be determined at the same time, for example, a face region may be extracted from a person image acquired by an image acquisition device as the face image, and a body region may be extracted as the body image. And further, carrying out face recognition according to the face image and carrying out action recognition through the body image. The face recognition and the action recognition can be carried out simultaneously or sequentially. For example, the human face recognition is performed first and then the motion recognition is performed according to the face recognition result, or the human face recognition is performed first and then the motion recognition result is performed.

And step S50, controlling the vehicle according to the action recognition result.

In one possible implementation, after determining the motion recognition result, the electronic device may control the vehicle according to the motion recognition result. When the electronic device is a vehicle-mounted control device, the vehicle can be directly controlled by sending a vehicle control command. When the electronic device is other electronic devices such as a server and user equipment, the vehicle unlocking instruction can be sent to the vehicle-mounted control device, and then the vehicle is controlled by the vehicle-mounted control device. Alternatively, the motion recognition result may be used to control the window, the door, the seat, and the like, that is, the electronic device may control at least one of the window, the driver seat, and the door electromagnetic lock of the vehicle according to the motion recognition result after obtaining the motion recognition result. The control mode can include controlling the opening of a window of the vehicle, controlling the forward and backward movement of a saddle of the vehicle, controlling the opening of an electromagnetic lock of the vehicle and the like.

FIG. 2 shows a schematic diagram of a vehicle control process according to an embodiment of the disclosure. As shown in fig. 2, after determining a face image 20 of a person approaching a vehicle, the electronic device may perform face recognition 21 based on the face image 0 to obtain a face recognition result 22. After obtaining the face recognition result 22, the electronic device determines whether the face recognition result 22 is successful, that is, whether a person near the vehicle has a door lock control authority. If the face recognition result 22 does not have the door lock control authority, it is determined that the face recognition result is a recognition failure, and the electronic device does not control the vehicle 23. If the face recognition result 22 has the door lock control authority, the face recognition result is determined to be the recognition success, a body image 24 of a person near the vehicle is acquired, and the motion recognition 25 is performed based on the body image. Further, the electronic apparatus controls the vehicle 26 according to the recognition result of the motion recognition 25. For example, when the action recognition result is an unlocking action, the electromagnetic lock of the vehicle may be controlled to be unlocked. And when the action recognition result is that the window is controlled to be opened, controlling the window of the vehicle to descend.

The disclosed embodiment can control the vehicle by combining two modes of action recognition and face recognition, so that when a person near the vehicle has the door lock control authority and the action indicates that the vehicle is expected to be controlled, the vehicle is correspondingly controlled. The control mode can accurately identify the control mode required by the user in a simple mode, simplify the vehicle control process and improve the accuracy of the vehicle control process and the vehicle safety. Further, the user experience is prompted through the accurate vehicle control mode.

It is understood that the above-mentioned method embodiments of the present disclosure can be combined with each other to form a combined embodiment without departing from the logic of the principle, which is limited by the space, and the detailed description of the present disclosure is omitted. Those skilled in the art will appreciate that in the above methods of the specific embodiments, the specific order of execution of the steps should be determined by their function and possibly their inherent logic.

In addition, the present disclosure also provides a vehicle control device, an electronic device, a computer-readable storage medium, and a program, which can be used to implement any one of the vehicle control methods provided by the present disclosure, and the corresponding technical solutions and descriptions and corresponding descriptions in the methods section are omitted for brevity.

Fig. 3 shows a schematic diagram of a vehicle control apparatus according to an embodiment of the present disclosure, and as shown in fig. 3, the vehicle control apparatus of the embodiment of the present disclosure may include a first image acquisition module 30, a face recognition module 31, a second image acquisition module 32, a motion recognition module 33, and a vehicle control module 34.

A first image acquisition module 30 for acquiring a face image of a person approaching the vehicle;

a face recognition module 31, configured to perform face recognition on the face image;

the second image acquisition module 32 is used for acquiring a body image of the person under the condition that the person is determined to have the door lock control authority according to the face recognition result;

a motion recognition module 33, configured to perform motion recognition on the body image;

and the vehicle control module 34 is used for controlling the vehicle according to the action recognition result.

In a possible implementation manner, the second image obtaining module 32 includes:

In one possible implementation, the vehicle control module 34 includes:

In one possible implementation manner, the method further includes:

In one possible implementation, the body image comprises a hand image,

the motion recognition module 33 includes:

the gesture recognition submodule comprises:

In some embodiments, functions of or modules included in the apparatus provided in the embodiments of the present disclosure may be used to execute the method described in the above method embodiments, and specific implementation thereof may refer to the description of the above method embodiments, and for brevity, will not be described again here.

Embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the above-mentioned method. The computer readable storage medium may be a volatile or non-volatile computer readable storage medium.

An embodiment of the present disclosure further provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the memory-stored instructions to perform the above-described method.

The disclosed embodiments also provide a computer program product comprising computer readable code or a non-transitory computer readable storage medium carrying computer readable code, which when run in a processor of an electronic device, the processor in the electronic device performs the above method.

The electronic device may be provided as a terminal, server, or other form of device.

Fig. 4 shows a schematic diagram of an electronic device 800 according to an embodiment of the disclosure. For example, the electronic device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like terminal.

Referring to fig. 4, electronic device 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, a sensor component 814, and a communication component 816.

The processing component 802 generally controls overall operation of the electronic device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.

The memory 804 is configured to store various types of data to support operations at the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 806 provides power to the various components of the electronic device 800. The power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 800.

The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 800 is in an operation mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.

The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the electronic device 800. For example, the sensor assembly 814 may detect an open/closed state of the electronic device 800, the relative positioning of components, such as a display and keypad of the electronic device 800, the sensor assembly 814 may also detect a change in the position of the electronic device 800 or a component of the electronic device 800, the presence or absence of user contact with the electronic device 800, orientation or acceleration/deceleration of the electronic device 800, and a change in the temperature of the electronic device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a Complementary Metal Oxide Semiconductor (CMOS) or Charge Coupled Device (CCD) image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 may access a wireless network based on a communication standard, such as a wireless network (WiFi), a second generation mobile communication technology (2G) or a third generation mobile communication technology (3G), or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the electronic device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 804, is also provided that includes computer program instructions executable by the processor 820 of the electronic device 800 to perform the above-described methods.

Fig. 5 shows a schematic diagram of an electronic device 1900 according to an embodiment of the disclosure. For example, the electronic device 1900 may be provided as a server. Referring to fig. 5, electronic device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.

The electronic device 1900 may also include a power component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input/output (I/O) interface 1958. The electronic device 1900 may operate based on an operating system, such as the Microsoft Server operating system (Windows Server), stored in the memory 1932^TM) Apple Inc. of the present application based on the graphic user interface operating System (Mac OS X)^TM) Multi-user, multi-process computer operating system (Unix)^TM) Free and open native code Unix-like operating System (Linux)^TM) Opening the original codeUnix-like operating system (FreeBSD)^TM) Or the like.

In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 1932, is also provided that includes computer program instructions executable by the processing component 1922 of the electronic device 1900 to perform the above-described methods.

The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.

The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but is not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.

The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.

The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).

Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The computer program product may be embodied in hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK), or the like.

The foregoing description of the various embodiments is intended to highlight various differences between the embodiments, and the same or similar parts may be referred to each other, and for brevity, will not be described again herein.

It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.

If the technical scheme of the application relates to personal information, a product applying the technical scheme of the application clearly informs personal information processing rules before processing the personal information, and obtains personal independent consent. If the technical scheme of the application relates to sensitive personal information, a product applying the technical scheme of the application obtains individual consent before processing the sensitive personal information, and simultaneously meets the requirement of 'express consent'. For example, at a personal information collection device such as a camera, a clear and significant identifier is set to inform that the personal information collection range is entered, the personal information is collected, and if the person voluntarily enters the collection range, the person is regarded as agreeing to collect the personal information; or on the device for processing the personal information, under the condition of informing the personal information processing rule by using obvious identification/information, obtaining personal authorization by modes of popping window information or asking a person to upload personal information of the person by himself, and the like; the personal information processing rule may include information such as a personal information processor, a personal information processing purpose, a processing method, and a type of personal information to be processed.

Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A vehicle control method comprising:

acquiring a face image of a person close to a vehicle;

carrying out face recognition on the face image;

performing motion recognition on the body image;

and controlling the vehicle according to the action recognition result.

2. The method of claim 1, wherein the acquiring the body image of the person in the case that the person is determined to have the door lock control authority according to the result of the face recognition comprises:

3. The method of claim 2, wherein the sending a prompt comprises at least one of:

sending the prompt information through a vehicle body prompt lamp;

4. The method of any one of claims 1 to 3, wherein the controlling the vehicle according to the result of the motion recognition comprises:

5. The method of any of claims 1 to 4, further comprising:

6. The method of any of claims 1 to 5, wherein the body image comprises a hand image,

the motion recognition of the body image comprises:

and performing gesture recognition on the hand image.

7. The method of claim 6, wherein the hand image comprises a plurality of frames of hand images in a video stream,

the gesture recognition of the hand image comprises:

8. A vehicle control apparatus comprising:

9. An electronic device, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to invoke the memory-stored instructions to perform the method of any of claims 1 to 7.

10. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1 to 7.