阅读说明：本技术 一种报警方法及装置、电子设备和存储介质 (Alarm method and device, electronic equipment and storage medium ) 是由 邵昌旭 许亮 李轲 严威 于 2021-08-31 设计创作，主要内容包括：本公开涉及一种报警方法及装置、电子设备和存储介质,所述方法包括：获取车辆的舱内的影像信息；基于所述影像信息检测所述舱内的乘员的健康状况；获取所述车辆的车辆状态数据；响应于基于所述健康状况以及所述车辆状态数据确定所述乘员需要救援,发送报警信息。(The present disclosure relates to an alarm method and apparatus, an electronic device, and a storage medium, the method including: acquiring image information in a cabin of a vehicle; detecting a health condition of an occupant in the cabin based on the image information; acquiring vehicle state data of the vehicle; sending an alert message in response to determining that the occupant requires assistance based on the health condition and the vehicle state data.)

1. An alarm method, comprising:

acquiring image information in a cabin of a vehicle;

detecting a health condition of an occupant in the cabin based on the image information;

acquiring vehicle state data of the vehicle;

sending an alert message in response to determining that the occupant requires assistance based on the health condition and the vehicle state data.

2. The method of claim 1, further comprising:

acquiring physiological characteristic sensing information of the passenger;

determining vital sign indicators of passengers in the cabin based on the physiological characteristic sensing information;

and determining the health condition of the passenger in the cabin body as an abnormal condition under the condition that the vital sign index exceeds a normal index range.

3. The method according to any one of claims 1 or 2, wherein detecting the health of the occupant in the cabin based on the image information comprises:

determining a body posture of the in-cabin passenger based on the image information;

and determining the health condition of the passenger in the cabin body as an abnormal condition when the body posture is a preset abnormal body posture.

4. The method of claim 3, wherein the determining the body posture of the in-cabin occupant based on the image information comprises:

based on the image information, carrying out human face detection and/or human body detection on the cabin;

determining passenger information in the cabin according to the detection result of the face detection and/or the human body detection;

and detecting the body posture of the passenger corresponding to the passenger information based on the image information.

5. The method of claim 3 or 4, wherein the determining the body posture of the in-cabin occupant based on the image information comprises:

detecting a pose angle of a head and/or torso of the in-cabin occupant in the vehicle coordinate system;

and under the condition that the attitude angle exceeds a first angle threshold value, determining the body attitude of the passenger in the cabin to be a preset abnormal body attitude.

6. The method of claim 3 or 4, wherein the determining the body posture of the in-cabin occupant based on the image information comprises:

detecting a relative pose of a head and/or torso of the in-cabin occupant with respect to a stationary member inside the vehicle;

and determining the body posture of the passenger in the cabin to be a preset abnormal body posture under the condition that the relative posture does not belong to a preset posture range.

7. The method of any one of claims 3 to 6, wherein the abnormal body posture comprises at least one of:

the body and/or head is tilted to one side, the head is tilted downward, and the face is upward.

8. The method according to any one of claims 1 to 7, wherein said detecting the health of the occupant in the cabin based on the image information comprises:

and in response to detecting bleeding of the passengers in the cabin based on the image information, determining that the health condition of the passengers in the cabin is an abnormal condition.

9. The method of any of claims 1 to 8, further comprising:

determining whether the occupants in the cabin require assistance based on the health condition and the vehicle state data.

10. The method of claim 9, wherein the vehicle state data comprises driving state data indicative of a driving state of the vehicle and/or controlled state data indicative of a controlled state of the vehicle.

11. The method of claim 10, wherein in the event that the vehicle state data includes driving state data for a vehicle, said determining whether the occupants in the cabin require assistance based on the health condition and the vehicle state data comprises:

and in response to that the health condition of the passengers in the cabin is changed from a normal condition to an abnormal condition and the change amplitude of the driving state data of the vehicle exceeds a preset amplitude range, determining that the passengers in the cabin need rescue.

12. The method of claim 10, wherein the vehicle state data comprises controlled state data of a vehicle, and wherein determining whether an occupant in the cabin requires assistance based on the health condition and the vehicle state data comprises:

in response to the fact that the health condition of the passengers in the cabin is changed from a normal condition to an abnormal condition, and preset controlled state data are received before the health condition of the passengers is changed from the normal condition to the abnormal condition, determining that the passengers in the cabin need to be rescued;

wherein the preset controlled state data comprises at least one of:

data indicating that a brake pedal is depressed, data indicating that an accelerator pedal is depressed, and data indicating that a steering wheel is turned.

13. The method of claim 10, wherein the vehicle state data comprises controlled state data of a vehicle, and wherein determining whether an occupant in the cabin requires assistance based on the health condition and the vehicle state data comprises:

and in response to the fact that the health condition of the passengers in the cabin is changed from a normal condition to an abnormal condition, and preset controlled state data are not received after the health condition of the passengers is changed from the normal condition to the abnormal condition, determining that the passengers in the cabin need to be rescued.

14. The method of any of claims 1-13, wherein the alert information includes at least one of:

occupant injury condition, occupant illness condition, vehicle driving status data, vehicle controlled status data.

15. An alarm device, comprising:

the image information acquisition unit is used for acquiring image information in a cabin of the vehicle;

a health detection unit for detecting the health condition of the passenger in the cabin based on the image information;

a state data acquisition unit for acquiring vehicle state data of the vehicle;

an alert information sending unit for sending alert information in response to determining that the occupant needs rescue based on the health condition and the vehicle state data.

16. 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 one of claims 1 to 14.

17. 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 14.

Technical Field

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

Background

In the road transportation process, traffic accidents frequently happen to automobiles, and at the moment, if rescue workers can timely acquire accident information and carry out rescue, accident parties can be timely rescued, so that property loss is reduced, and casualties are reduced.

In order to enable rescue workers to know accident information in time, an automobile-mounted emergency call (eCall) system can be integrated on an automobile, and the eCall system belongs to typical application of the internet of vehicles. Based on technologies such as automobile sensing, mobile communication and satellite positioning, the emergency rescue system is in contact with a public rescue center at the first time after an accident occurs, automatically sends the position of the vehicle and vehicle information to the rescue center, and the rescue center rescues accident personnel after confirming the accident.

The conventional emergency call function is triggered by the deployment of an airbag. However, in many accident scenes that the safety air bags are not bounced, rescue calling still needs to be carried out manually, and timely rescue is difficult to obtain if passengers are in a coma, sudden diseases or arms are injured and cannot be lifted.

Disclosure of Invention

The present disclosure provides an alarm technical scheme.

According to an aspect of the present disclosure, there is provided an alarm method including:

acquiring image information in a cabin of a vehicle;

detecting a health condition of an occupant in the cabin based on the image information;

acquiring vehicle state data of the vehicle;

sending an alert message in response to determining that the occupant requires assistance based on the health condition and the vehicle state data.

In one possible implementation, the method further includes:

acquiring physiological characteristic sensing information of the passenger;

determining vital sign indicators of passengers in the cabin based on the physiological characteristic sensing information;

and determining the health condition of the passenger in the cabin body as an abnormal condition under the condition that the vital sign index exceeds a normal index range.

In one possible implementation, detecting the health condition of the occupant in the cabin based on the image information includes:

determining a body posture of the in-cabin passenger based on the image information;

and determining the health condition of the passenger in the cabin body as an abnormal condition when the body posture is a preset abnormal body posture.

In one possible implementation, the determining the body posture of the cabin occupant based on the image information includes:

based on the image information, carrying out human face detection and/or human body detection on the cabin;

determining passenger information in the cabin according to the detection result of the face detection and/or the human body detection;

and detecting the body posture of the passenger corresponding to the passenger information based on the image information.

In one possible implementation, the determining the body posture of the cabin occupant based on the image information includes:

detecting a pose angle of a head and/or torso of the in-cabin occupant in the vehicle coordinate system;

and under the condition that the attitude angle exceeds a first angle threshold value, determining the body attitude of the passenger in the cabin to be a preset abnormal body attitude.

In one possible implementation, the determining the body posture of the cabin occupant based on the image information includes:

detecting a relative pose of a head and/or torso of the in-cabin occupant with respect to a stationary member inside the vehicle;

and determining the body posture of the passenger in the cabin to be a preset abnormal body posture under the condition that the relative posture does not belong to a preset posture range.

In one possible implementation, the abnormal body posture includes at least one of:

the body and/or head is tilted to one side, the head is tilted downward, and the face is upward.

In one possible implementation, the detecting the health condition of the occupant in the cabin based on the image information includes:

and in response to detecting bleeding of the passengers in the cabin based on the image information, determining that the health condition of the passengers in the cabin is an abnormal condition.

In one possible implementation, the method further includes:

determining whether the occupants in the cabin require assistance based on the health condition and the vehicle state data.

In one possible implementation, the vehicle state data includes driving state data representing a driving state of the vehicle and/or controlled state data representing a controlled state of the vehicle.

In one possible implementation, in a case where the vehicle state data includes driving state data of a vehicle, the determining whether the occupant in the cabin needs to be rescued based on the health condition and the vehicle state data includes:

and in response to that the health condition of the passengers in the cabin is changed from a normal condition to an abnormal condition and the change amplitude of the driving state data of the vehicle exceeds a preset amplitude range, determining that the passengers in the cabin need rescue.

In one possible implementation, the determining whether the in-cabin occupant needs to be rescued based on the health condition and the vehicle state data includes:

in response to the fact that the health condition of the passengers in the cabin is changed from a normal condition to an abnormal condition, and preset controlled state data are received before the health condition of the passengers is changed from the normal condition to the abnormal condition, determining that the passengers in the cabin need to be rescued;

wherein the preset controlled state data comprises at least one of:

data indicating that a brake pedal is depressed, data indicating that an accelerator pedal is depressed, and data indicating that a steering wheel is turned.

In one possible implementation, the determining whether the in-cabin occupant needs to be rescued based on the health condition and the vehicle state data includes:

and in response to the fact that the health condition of the passengers in the cabin is changed from a normal condition to an abnormal condition, and preset controlled state data are not received after the health condition of the passengers is changed from the normal condition to the abnormal condition, determining that the passengers in the cabin need to be rescued.

In one possible implementation, the alarm information includes at least one of:

occupant injury condition, occupant illness condition, vehicle driving status data, vehicle controlled status data.

According to an aspect of the present disclosure, there is provided an alarm device including:

the image information acquisition unit is used for acquiring image information in a cabin of the vehicle;

a health detection unit for detecting the health condition of the passenger in the cabin based on the image information;

a state data acquisition unit for acquiring vehicle state data of the vehicle;

an alert information sending unit for sending alert information in response to determining that the occupant needs rescue based on the health condition and the vehicle state data.

In a possible implementation manner, the alarm device further includes:

an occupant physiological characteristic sensing information acquisition unit configured to acquire physiological characteristic sensing information of the occupant;

the passenger vital sign index determining unit is used for determining the vital sign indexes of passengers in the cabin body based on the physiological characteristic sensing information;

and the passenger health abnormity determining unit is used for determining the health condition of the passenger in the cabin body as an abnormal condition when the vital sign index exceeds a normal index range.

In one possible implementation, the health detection unit includes:

an occupant body posture determination unit for determining the body posture of the in-cabin occupant based on the image information;

the first passenger health abnormity determining subunit is used for determining the health condition of the passenger in the cabin body to be an abnormal condition when the body posture is a preset abnormal body posture.

In one possible implementation, the occupant body posture determination unit includes:

the human face detection and/or human body detection unit is used for carrying out human face detection and/or human body detection on the cabin based on the image information;

the passenger information determining unit is used for determining passenger information in the cabin according to the detection result of the human face detection and/or the human body detection;

and the passenger body posture determining subunit is used for detecting the body posture of the passenger corresponding to the passenger information based on the image information.

In one possible implementation, the occupant body posture determining subunit includes:

an attitude angle detection unit for detecting an attitude angle of a head and/or a trunk of the occupant in the cabin in the vehicle coordinate system;

an abnormal posture determination unit for determining the body posture of the passenger in the cabin as a preset abnormal body posture when the posture angle exceeds a first angle threshold.

In one possible implementation, the occupant body posture determining subunit includes:

a relative posture detecting unit for detecting a relative posture of a head and/or a trunk of the occupant in the cabin with respect to a fixed member inside the vehicle;

and the abnormal posture determining subunit is used for determining the body posture of the passenger in the cabin to be a preset abnormal body posture under the condition that the relative posture does not belong to a preset posture range.

In one possible implementation, the abnormal body posture includes at least one of:

the body and/or head is tilted to one side, the head is tilted downward, and the face is upward.

In one possible implementation, the health detection unit includes:

and the second passenger health abnormity determining subunit is used for responding to the detection of bleeding of passengers in the cabin based on the image information and determining that the health condition of the passengers in the cabin is an abnormal condition.

In one possible implementation, the apparatus further includes:

a rescue determination unit to determine whether the occupants in the cabin require rescue based on the health condition and the vehicle state data.

In one possible implementation, the vehicle state data includes driving state data representing a driving state of the vehicle and/or controlled state data representing a controlled state of the vehicle.

In one possible implementation, in a case where the vehicle state data includes driving state data of a vehicle, the rescue determination unit includes:

the first rescue determining subunit is used for determining that the passengers in the cabin need to be rescued in response to the fact that the health condition of the passengers in the cabin is changed from a normal condition to an abnormal condition and the change range of the driving state data of the vehicle exceeds a preset range;

wherein the preset controlled state data comprises at least one of:

data indicating that a brake pedal is depressed, data indicating that an accelerator pedal is depressed, and data indicating that a steering wheel is turned.

In one possible implementation, the vehicle state data includes controlled state data of a vehicle, and the rescue determination unit includes:

a second rescue determination subunit for responding to the change of the health condition of the passengers in the cabin from the normal condition to the abnormal condition, and the second rescue determination subunit is used for determining the state of the passengers in the cabin.

In one possible implementation, the alarm information includes at least one of:

occupant injury condition, occupant illness condition, vehicle driving status data, vehicle controlled status data.

According to an aspect of the present disclosure, there is provided 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.

According to an 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.

In the embodiment of the disclosure, the health condition of the passenger in the cabin is detected by acquiring image information in the cabin of the vehicle and based on the image information; and acquiring vehicle state data of the vehicle, and sending alarm information in response to determining that the occupant needs to be rescued based on the health condition and the vehicle state data. Therefore, whether the passenger needs to be rescued or not can be comprehensively judged based on the image information in the vehicle cabin body and the vehicle state data, whether the passenger needs to be rescued or not can be accurately determined, and the alarm information is sent under the condition that the passenger needs to be rescued, so that the passenger can be rescued in time after an accident.

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 diagram of an alarm method according to an embodiment of the present disclosure;

FIG. 2 shows a block diagram of an alarm device according to an embodiment of the present disclosure;

FIG. 3 shows a block diagram of an electronic device in accordance with an embodiment of the disclosure;

fig. 4 shows a block diagram of an electronic device in accordance with an embodiment of the 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.

As described in the background, emergency call service can reduce rescue time and reduce the mortality of rescued people in a vehicle accident. In the related art, the emergency call service generally uses the pop-up of the airbag as a trigger signal. However, when an accident (e.g., collision) occurs, the airbag in the vehicle can be automatically popped up when the collision reaches a certain intensity, so that when a passenger is injured and needs to be rescued, but when the airbag is not popped up, the passenger in the vehicle cannot be rescued in time.

In the embodiment of the disclosure, an alarm method is provided, which includes acquiring image information in a cabin of a vehicle, and detecting health conditions of passengers in the cabin based on the image information; and acquiring vehicle state data of the vehicle, and sending alarm information in response to determining that the occupant needs to be rescued based on the health condition and the vehicle state data. Therefore, whether the passenger needs to be rescued or not can be comprehensively judged based on the image information in the vehicle cabin body and the vehicle state data, whether the passenger needs to be rescued or not can be accurately determined, and the alarm information is sent under the condition that the passenger needs to be rescued, so that the passenger can be rescued in time after an accident.

In one possible implementation, the execution subject of the method may be an intelligent driving control device installed on a vehicle. In one possible implementation, the method may be performed by a terminal device or a server or other processing device. The terminal device may be a vehicle-mounted device, 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, or a wearable device. The vehicle-mounted device may be a vehicle or a domain controller in a vehicle cabin, and may also be a device host used for executing an alarm method in an ADAS (Advanced Driving Assistance System), an OMS (Occupant Monitoring System), or a DMS (Driver Monitoring System). In some possible implementations, the alert method may be implemented by a processor invoking computer readable instructions stored in a memory.

For convenience of description, in one or more embodiments of the present specification, an execution subject of the alarm method may be an in-vehicle device in a vehicle, and hereinafter, an embodiment of the method will be described by taking the execution subject as the in-vehicle device as an example. It is understood that the method is carried out by the vehicle-mounted device only for illustrative purposes, and is not to be construed as limiting the method.

Fig. 1 shows a flow chart of an alerting method according to an embodiment of the present disclosure, as shown in fig. 1, the alerting method including:

in step S11, image information in the cabin of the vehicle is acquired.

The vehicle may be at least one of private cars, shared cars, net appointment cars, taxis, trucks, and the like, and the specific type of vehicle is not limited by the present disclosure.

The image information here may be image information of an area where an occupant is located in the cabin, and the image information may be acquired by an on-board image acquisition device provided in or outside the cabin of the vehicle, and the on-board image acquisition device may be an on-board camera or an image acquisition device provided with a camera. The camera can be a camera for collecting image information inside the vehicle or a camera for collecting image information outside the vehicle.

For example, the camera may include a camera in the DMS and/or a camera in the OMS, etc., which may be used to capture image information of the interior of the vehicle; the camera may also include a camera in the ADAS, which may be used to collect image information outside the vehicle. Of course, the vehicle-mounted image capturing device may also be a camera in other systems, or may also be a separately configured camera, and the embodiment of the present disclosure does not limit the specific vehicle-mounted image capturing device.

The carrier of the image information can be a two-dimensional image or video, for example, the image information can be a visible light image/video or an infrared light image/video; the method may also be a three-dimensional image formed by a point cloud scanned by a radar, and the like, which may be determined according to an actual application scenario, and this disclosure does not limit this.

The image information collected by the vehicle-mounted image collecting device can be acquired through the communication connection established between the vehicle-mounted image collecting device and the vehicle-mounted image collecting device. In one example, the vehicle-mounted image capturing device may transmit the captured image information to the vehicle-mounted controller or the remote server through the bus or the wireless communication channel in real time, and the vehicle-mounted controller or the remote server may receive the real-time image information through the bus or the wireless communication channel.

In step S12, the health condition of the occupant in the cabin is detected based on the image information.

After the image information in the cabin is obtained, human body detection and/or human face detection can be carried out on the cabin based on the image information to obtain human body detection results and/or human face detection results in the cabin, and passenger detection results in the cabin can be obtained based on the human body detection results and/or the human face detection results in the cabin. For example, the human body detection result and/or the human face detection result in the cabin may be used as the passenger detection result in the cabin. For another example, the human body detection result and/or the human face detection result in the cabin may be processed to obtain the passenger detection result in the cabin.

After the occupant detection result is obtained, the detected occupant may be further subjected to a health condition detection, where the health condition is used to indicate whether the body of the user is healthy, for example, the health condition of the occupant may be normal, injured, or diseased. For another example, the injury condition may be specific to the injury condition, such as bleeding, fracture, etc., or specific to the injury site, such as bleeding in the head, bleeding in the hands, etc. As another example, a disease condition herein can be a particular disease, such as heart disease, asthma, epilepsy, and the like.

In a possible implementation manner, the process of further detecting the health condition of the detected occupant may be implemented based on an image processing technology, for example, whether blood is present on the occupant may be identified based on the image processing technology to determine whether the health condition of the occupant is a bleeding condition, and in the case that blood is identified on the occupant, the health condition of the occupant may be determined as the bleeding condition; for another example, the body posture of the passenger may be recognized based on image processing technology, for example, whether the inclination angle of the head or body of the passenger exceeds a threshold value, or whether the passenger fractures or not may be determined through deep learning or the like; for another example, the vital sign indicators of the occupant, such as the heart rate and the respiratory rate, can be identified by performing time-frequency transformation on the image based on an image processing technology, so as to determine the health condition of the occupant. Specific ways of determining the health condition of the occupant can be found in the following possible implementations, which are not described in detail herein.

In step S13, vehicle state data of the vehicle is acquired.

The vehicle state data is used to characterize the state of the vehicle, and in one example, includes driving state data characterizing the driving state of the vehicle and/or controlled state data characterizing the controlled state of the vehicle. The driving state data is data representing a driving state of the vehicle, and may include, for example and without limitation: at least one of the speed, direction, acceleration, lane condition, line pressing condition, body swinging condition, lane changing condition, speed changing condition, form route condition, overspeed condition, driving state and traffic sign consistency information of the vehicle. The controlled state data of the vehicle is data representing the operation of the vehicle by a human or a vehicle machine system, and may include, but is not limited to: at least one of data indicating that a brake pedal is depressed, data indicating that an accelerator pedal is depressed, and data indicating that a steering wheel is turned.

The vehicle state data of the vehicle CAN be acquired through a Controller Area Network (CAN) bus interface of the vehicle, and details of a specific acquisition mode are not described herein.

In step S14, in response to determining that the occupant needs rescue based on the health condition and the vehicle state data, an alert message is sent.

The vehicle state data can characterize the state of the vehicle, and based on the vehicle state data, it can be determined whether the vehicle is in a normal state or an abnormal state. For example, the normal state of the vehicle may be a normal running state or a normal parking state, and the normal running state may be, for example, that the vehicle runs at a regular speed; and the abnormal driving state can be that the vehicle brakes suddenly or is in a deceleration or acceleration state after the accident is collided. Then, in the case where it is determined that the vehicle is in an abnormal state based on the vehicle state data, and the health condition of the occupant belongs to an injured condition, it is determined that the occupant in the cabin needs to be rescued.

In some embodiments, the health condition of the passengers and the vehicle state data can be combined to judge whether rescue is needed according to a preset data fusion strategy and decision logic. Or, a neural network model for rescue decision can be trained based on the labeled data, vehicle state data and passenger health state data are input into the model after training is completed, and decision information whether rescue is carried out or not is output by the model.

For specific implementation manners for determining whether the passenger needs to be rescued based on the health condition and the vehicle state data, reference may also be made to various possible implementation manners provided in the present disclosure hereinafter, and details are not described here.

After the passenger needs to be rescued, alarm information can be sent. For example, the alarm information may be sent to a rescue center, for example, through an emergency call (eCall) system integrated in the vehicle, and the alarm information is sent to the rescue center, and the vehicle position and the vehicle information are automatically sent to the rescue center, and the rescue center rescues the accident personnel after confirming the accident.

In the embodiment of the disclosure, the health condition of the passenger in the cabin is detected by acquiring image information in the cabin of the vehicle and based on the image information; and acquiring vehicle state data of the vehicle, and sending alarm information in response to determining that the occupant needs to be rescued based on the health condition and the vehicle state data. Therefore, whether the passenger needs to be rescued or not can be comprehensively judged based on the image information in the vehicle cabin body and the vehicle state data, whether the passenger needs to be rescued or not can be accurately determined, and the alarm information is sent under the condition that the passenger needs to be rescued, so that the passenger can be rescued in time after an accident.

In one possible implementation, the method further includes: acquiring physiological characteristic sensing information of the passenger; determining vital sign indicators of passengers in the cabin based on the physiological characteristic sensing information; and determining the health condition of the passenger in the cabin body as an abnormal condition under the condition that the vital sign index exceeds a normal index range.

The physiological characteristic sensing information is used to determine vital sign indicators of the occupant, where the vital sign indicators may be, for example, heart rate, respiratory rate, and the like. The sensing information of the vital signs, that is, the vital signs of the passenger collected by the vital signs sensor, is, for example, a millimeter wave radar, and the principle of the millimeter wave radar for monitoring the respiratory heart rate is to use the radar to emit electromagnetic waves and then detect the frequency of an echo signal to detect the respiratory heart rate of the passenger. The millimeter wave radar can detect minute vibration and displacement of the human body by measuring a change in the phase of the echo signal, and in one example, the frequency of heartbeat and respiration can be determined based on the detection of the amplitude of chest vibration.

Based on the vital sign indexes of the passengers, whether the health conditions of the passengers are abnormal can be determined, and particularly, whether the vital sign indexes exceed the normal index range can be determined. For normal persons, the normal index for heart rate is 60-100 beats per minute and the normal index for respiratory rate is 12-20 beats per minute. When the heart rate of the passenger is detected to be obviously lower than 60 times, even the heart rate is reduced to 0, the health condition of the passenger is determined to be an abnormal condition. As another example, when the breathing rate of the occupant is detected to be significantly higher than 20 times/minute, for example, the breathing rate is 30 times/minute, it can be determined that the health condition of the occupant is an abnormal condition.

In the embodiment of the disclosure, the vital sign indexes of passengers in the cabin are determined by acquiring the physiological characteristic sensing information of the passengers and then based on the physiological characteristic sensing information; and determining the health condition of the passenger in the cabin body as an abnormal condition under the condition that the vital sign index exceeds a normal index range. Therefore, the vital sign indexes of the passengers can accurately indicate the physical health conditions of the passengers, so that the health conditions of the passengers are determined based on the vital sign indexes of the passengers, the accuracy of determining the health conditions of the passengers is improved, and the accuracy of determining whether rescue is needed according to the health of the passengers is improved.

In one possible implementation, detecting the health condition of the occupant in the cabin based on the image information includes: determining a body posture of the in-cabin passenger based on the image information; and determining the health condition of the passenger in the cabin body as an abnormal condition when the body posture is a preset abnormal body posture.

In the embodiment of the present disclosure, the body posture of the passenger in the cabin can be determined based on the image information, for example, the body posture of the passenger can be determined by an image recognition technology, and the specific determination process may refer to a variety of possible implementation manners provided by the present disclosure, which is not described herein again.

After the body posture of the passenger in the cabin is determined, whether the body posture is a preset abnormal body posture or not can be judged, and under the condition that the body posture is determined to be the preset abnormal body posture, the health condition of the passenger in the cabin is determined to be an abnormal condition. The preset abnormal body posture comprises at least one of the following items: the body and/or head is tilted to one side, the head is tilted downward, and the face is upward. Since the posture of the occupant can reflect the health condition of the user's body to some extent, when the occupant is injured after an accident occurs, the occupant may not be able to keep a straight posture, and may assume an abnormal posture such as the body and/or the head being tilted to one side, the head being tilted downward, or the head being tilted upward. These body postures can accurately represent that the current health state of the user is an abnormal condition.

Therefore, the abnormal body postures can be preset, after the body posture of the passenger in the cabin is determined, whether the body state of the passenger in the cabin is the preset abnormal body posture or not can be judged, and under the condition that the body posture is determined to be the preset abnormal body posture, the health condition of the passenger in the cabin is determined to be the abnormal condition.

In the disclosed embodiment, the body posture of the passenger in the cabin is determined based on the image information; and determining the health condition of the passenger in the cabin body as an abnormal condition when the body posture is a preset abnormal body posture. Therefore, whether the health condition of the passenger is abnormal or not can be determined based on the body posture of the passenger, the accuracy of the obtained health condition of the passenger is improved, and the accuracy of determining whether rescue is needed or not according to the health of the passenger is improved.

In one possible implementation, determining the body posture of the in-cabin occupant based on the image information includes: based on the image information, carrying out human face detection and human body detection on the cabin; determining passenger information in the cabin according to the detection result of the face detection and/or the human body detection; and detecting the body posture of the passenger corresponding to the passenger information based on the image information.

In the embodiment of the disclosure, human body detection and/or human face detection is performed on the cabin to obtain a human body detection result and/or a human face detection result in the cabin, wherein the detection result comprises position information of a human body and/or a human face. For example, in the case where one occupant is detected, the occupant detection result includes position information of the occupant; in the case where a plurality of occupants are detected, the occupant detection result may include position information of the detected individual occupants. Further, the identity of the occupant may also be recognized through face recognition, whether the occupant is a driver may be determined based on the position information of the occupant, and so on.

In the disclosed embodiments, the position information of the occupant may be represented using the position information of the bounding box of the occupant. Then, the body posture of the occupant is detected in the image framed by the bounding box. The body posture detection may be determined based on human body key detection, and as an example of the implementation, a plurality of human body key points to be detected may be preset, for example, 17 key points included in a human body skeleton may be set to respectively indicate each part of a human body, and by detecting the 17 key points, according to a position relationship between the 17 key points, a position relationship between each part of the human body may be obtained, where the position relationship between each part of the human body is a concrete representation form of the body posture.

As an example of this implementation, the image information may be input into a backbone network, feature extraction may be performed on the image information via the backbone network to obtain a feature map, and then the positions of key points of the human body may be detected based on the feature map to obtain the posture of the human body. The backbone network may adopt network structures such as ResNet, MobileNet, and the like, which is not limited herein.

In the embodiment of the present disclosure, based on the image information, the human face detection and/or the human body detection are performed on the cabin; determining passenger information in the cabin according to the detection result of the face detection and/or the human body detection; and detecting the body posture of the passenger corresponding to the passenger information based on the image information. This makes it possible to accurately obtain the posture of the occupant.

In one possible implementation, the determining the body posture of the cabin occupant based on the image information includes: detecting a pose angle of a head and/or torso of the in-cabin occupant in the vehicle coordinate system; and under the condition that the attitude angle exceeds a first angle threshold value, determining the body attitude of the passenger in the cabin to be a preset abnormal body attitude.

The vehicle coordinate system may be a relative coordinate system of the vehicle, which may be, for example, a cartesian rectangular coordinate system, and as one example in this implementation, the vehicle coordinate system may be a rectangular coordinate system constructed with a certain point in the vehicle as an origin O and three mutually perpendicular directions of the vehicle as directions of the xyz axis.

In the embodiment of the present disclosure, the positions of the key points of the human body can be determined, and then, according to the connecting line of each key point representing the head, the neck, the trunk, and the limbs, the attitude angle of the head in the vehicle coordinate system can be calculated, for example, the attitude angle of the head in the vehicle coordinate system can be an angle of the connecting line of the key points of the head and the neck in the vehicle coordinate system relative to the xyz axis; the attitude angle of the trunk in the vehicle coordinate system may be an angle of a connecting line of each key point of the trunk in the vehicle coordinate system with respect to the xyz axis.

In addition, the vehicle coordinate system may also be other coordinate systems such as a planar polar coordinate system, a cylindrical coordinate system (or called cylindrical coordinate system), and a spherical coordinate system (or called spherical coordinate system), and the specific determination process of the attitude angle in these coordinate systems is not described herein again.

Under the condition of normal health condition, in the driving state, the posture angles of the head and the trunk are always in a certain normal range, and the posture angles exceed the normal range, which often indicates that the passenger is injured and cannot keep a normal sitting posture.

In the disclosed embodiment, the attitude angle of the head and/or the trunk of the passenger in the cabin in the vehicle coordinate system is detected; and under the condition that the attitude angle exceeds a first angle threshold value, determining the body attitude of the passenger in the cabin to be a preset abnormal body attitude. Thus, by determining the body posture of the occupant based on the posture angle of the head and/or trunk of the occupant in the vehicle coordinate system, it is possible to accurately obtain the abnormal body posture of the occupant, and to accurately determine whether the health condition of the occupant is an abnormal condition.

In one possible implementation, the determining the body posture of the cabin occupant based on the image information includes: detecting a relative pose of a head and/or torso of the in-cabin occupant with respect to a stationary member inside the vehicle; and determining the body posture of the passenger in the cabin to be a preset abnormal body posture under the condition that the relative posture does not belong to a preset posture range.

The fixed member inside the vehicle may be at least one of a steering wheel, a seat, a door, and a window of the vehicle, for example, and then the fixed member inside the vehicle may be identified in the image information by an image recognition technique, and may be specifically identified by a neural network. After the fixed member inside the vehicle is identified, the relative posture of the fixed member and the head and/or torso of the occupant that has been identified may be derived.

The relative posture is used to represent the relative positional relationship between the fixation member and the head and/or the torso, and as an example in this implementation, if it is detected that the position of the head of the occupant and the position of the steering wheel coincide or are very close, it may be determined that the relative posture is that the head of the occupant lies prone on the steering wheel; as another example in this implementation, if it is detected that the occupant torso is at a horizontal angle to the seat bottom that is less than a preset angle threshold, then the relative pose is determined as the occupant being reclined on the seat.

In the embodiment of the present disclosure, an attitude range may be preset, where the attitude range is used to represent the attitude of the user in the normal sitting posture in the cabin under the health condition, and for example, the attitude range may be a normal distance range between the head position and the steering wheel under the normal health condition, and for example, the attitude range may be a normal angle range between the trunk and the seat under the normal health condition. And when the relative pose does not belong to the preset pose range, determining the body pose of the passenger in the cabin to be a preset abnormal body pose.

In an embodiment of the present disclosure, the vehicle interior is controlled by detecting a relative pose of a head and/or torso of an occupant within the cabin with respect to a stationary member within the vehicle interior; and determining the body posture of the passenger in the cabin to be a preset abnormal body posture under the condition that the relative posture does not belong to a preset posture range. Thus, by determining whether the body posture of the occupant is a preset abnormal body posture based on the relative posture of the head and/or trunk of the occupant with respect to the fixing member inside the vehicle, it is possible to accurately determine whether the occupant is in an abnormal body posture, and thus to accurately determine whether the health condition of the occupant is an abnormal condition.

In one possible implementation, the detecting the health condition of the occupant in the cabin based on the image information includes: and in response to detecting bleeding of the passengers in the cabin based on the image information, determining that the health condition of the passengers in the cabin is an abnormal condition.

In this implementation, whether blood is present on the body surface of the occupant may be identified based on an image processing technique to determine whether the health condition of the occupant is a bleeding condition, and when blood is identified on the occupant, the health condition of the occupant may be determined as a bleeding condition, and further, the health condition of the occupant in the cabin may be determined as an abnormal condition.

In the disclosed embodiment, the health condition of the occupants in the cabin is determined to be an abnormal condition by detecting bleeding of the occupants in the cabin in response to the image information. Therefore, when the bleeding of the passenger in the cabin is detected, the health condition of the passenger in the cabin is determined to be an abnormal condition, and the health condition of the passenger can be accurately determined to be the abnormal condition.

In one possible implementation, the method further includes: determining whether the occupants in the cabin require assistance based on the health condition and the vehicle state data.

As described above, the vehicle state data includes the running state data indicative of the running state of the vehicle and/or the controlled state data indicative of the controlled state of the vehicle. Specific implementation manners for determining whether the passengers in the cabin need to be rescued or not are explained in detail below for the two types of vehicle state data respectively.

In one possible implementation, in a case where the vehicle state data includes driving state data of a vehicle, the determining whether the occupant in the cabin needs to be rescued based on the health condition and the vehicle state data includes: and in response to that the health condition of the passengers in the cabin is changed from a normal condition to an abnormal condition and the change amplitude of the driving state data of the vehicle exceeds a preset amplitude range, determining that the passengers in the cabin need rescue.

The driving state data of the vehicle is used for representing the driving state of the vehicle, and considering that after an accident occurs to the vehicle, the driving states such as sudden deceleration, sudden acceleration or rotation of the vehicle body often occur, that is, after the accident occurs to the vehicle, the variation range of the driving state data of the vehicle is severe, that is, exceeds a normal variation range. A preset amplitude range can be preset to indicate the variation amplitude of the vehicle state data in the non-accident state of the vehicle, the variation amplitude can be obtained according to practical experience, and the actual value of the specific variation amplitude is not limited by the present disclosure.

In the case where the health condition of the passenger in the cabin is changed from the normal condition to the abnormal condition and the variation range of the driving state data of the vehicle exceeds the preset range, it is indicated that the health condition of the passenger may be an accident injury condition, in this case, it is determined that the passenger in the cabin needs to be rescued, and alarm information is sent.

For example, when the health condition of the passenger in the cabin is changed from a normal condition to an abnormal condition, the running speed of the vehicle suddenly drops to 0 within 10s from 100km/h, the change range of the vehicle is far beyond the deceleration range during normal braking, namely, the change range of the running state data of the vehicle is determined to be beyond a preset range, the passenger is estimated to be in an accident injury condition, and the passenger in the cabin is determined to need rescue.

In the embodiment of the disclosure, it is determined that the passenger in the cabin needs to be rescued in response to the fact that the health condition of the passenger in the cabin changes from a normal condition to an abnormal condition and the change range of the driving state data of the vehicle exceeds a preset range of range. Therefore, the injury condition of the passenger after the accident can be accurately detected, the passenger is determined to need rescue, and the alarm information is sent, so that the passenger can be timely rescued.

In one possible implementation, the determining whether the in-cabin occupant needs to be rescued based on the health condition and the vehicle state data includes: in response to the fact that the health condition of the passengers in the cabin is changed from a normal condition to an abnormal condition, and preset controlled state data are received before the health condition of the passengers is changed from the normal condition to the abnormal condition, determining that the passengers in the cabin need to be rescued; wherein the preset controlled state data includes, but is not limited to, at least one of: data indicating that a brake pedal is depressed, data indicating that an accelerator pedal is depressed, and data indicating that a steering wheel is turned.

The controlled state data of the vehicle is used for representing the state of the vehicle controlled by the passenger, and considering that the vehicle often has controlled states such as a driver slamming on a brake, slamming on a steering wheel and the like when an accident occurs, namely the vehicle often receives certain preset controlled states when the accident occurs. The controlled state that may occur when an accident occurs may be preset as the preset controlled state to indicate that the accident may occur.

Further, the health condition of the occupant may be changed from the normal condition to the abnormal condition after the occurrence of the accident, and therefore, the generation of the preset controlled-state data should be performed before the health condition of the occupant may be changed from the normal condition to the abnormal condition. Then, the health condition of the passengers in the cabin is changed from a normal condition to an abnormal condition, and preset controlled state data, namely, the condition indicating that the health condition of the passengers is possibly accident injury, is received before the health condition of the passengers is changed from the normal condition to the abnormal condition, in this case, the passengers in the cabin can be determined to need rescue, and alarm information is sent.

In the disclosed embodiment, it is determined that the passenger in the cabin needs to be rescued by responding to the change of the health condition of the passenger from the normal condition to the abnormal condition and receiving preset controlled state data before the change of the health condition of the passenger from the normal condition to the abnormal condition. Therefore, the injury condition of the passenger after the accident can be accurately detected, the passenger is determined to need rescue, and the alarm information is sent, so that the passenger can be timely rescued.

In one possible implementation, the determining whether the in-cabin occupant needs to be rescued based on the health condition and the vehicle state data includes: and in response to the fact that the health condition of the passengers in the cabin is changed from a normal condition to an abnormal condition, and preset controlled state data are not received after the health condition of the passengers is changed from the normal condition to the abnormal condition, determining that the passengers in the cabin need to be rescued.

The controlled state data of the vehicle is used to represent the state of being manipulated by the occupant, considering that the vehicle can normally run without excessive manipulation of the vehicle by the user during the automatic driving or the assistant driving. In the case of sudden illness of the driver, the control of the vehicle is often lost, and the vehicle may still be in a normal driving state.

Therefore, if the health condition of the passenger changes from the normal condition to the abnormal condition but the preset controlled state data is not received, the health condition of the passenger is possibly a disease outbreak condition, under the condition, the passenger in the cabin can be determined to need rescue, and alarm information can be sent.

In the embodiment of the disclosure, it is determined that the passenger in the cabin needs to be rescued by changing the health condition of the passenger in the cabin from a normal condition to an abnormal condition and not receiving preset controlled state data after the health condition of the passenger is changed from the normal condition to the abnormal condition. Therefore, the driver sudden disease state can be accurately detected, the driver needs to be rescued is determined, and the alarm information is sent, so that passengers can be rescued in time.

In the above-described case, if it is detected that the injured or ill-developed occupant is the driver through the in-cabin image, the warning information may include not only the disease condition of the member but also a request related to driving assistance or remote driving so as to decelerate or stop the vehicle in travel by driving assistance or remote driving control in a scene in which remote control is supported.

In one possible implementation, the alarm information includes at least one of: occupant injury condition, occupant illness condition, vehicle driving status data, vehicle controlled status data.

In one example of this implementation, the occupant injury condition in the alarm information may be information indicating that the occupant is in an injury condition, or may also be specific to what injury condition the occupant is specifically in, for example, whether the occupant is bleeding, a bone fracture, or the like.

In another example of this implementation, the occupant's condition in the alert message may be information indicating that the occupant is in a condition, or may be specific to what kind of condition the occupant is specifically in, for example, a heart condition, an asthma condition, or the like.

For the vehicle driving state data and the vehicle controlled state data, the related description can be referred to, and details are not repeated herein.

In the embodiment of the disclosure, at least one of the injury condition of the passenger, the disease condition of the passenger, the vehicle running state data and the vehicle controlled state data is sent as alarm information, so that the rescue center can accurately know the condition of the passenger to be rescued, and a targeted rescue measure can be provided.

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 an alarm device, an electronic device, a computer-readable storage medium, and a program, which can be used to implement any one of the alarm methods provided by the present disclosure, and the corresponding technical solutions and descriptions and corresponding descriptions of the method portions are not repeated.

Fig. 2 shows a block diagram of an alarm device according to an embodiment of the present disclosure, as shown in fig. 2, the device 20 comprising:

an image information acquisition unit 21 for acquiring image information in a cabin of a vehicle;

a health detection unit 22 for detecting the health condition of the occupant in the cabin based on the image information;

a state data acquisition unit 23 for acquiring vehicle state data of the vehicle;

an alert information sending unit 24 for sending alert information in response to determining that the occupant needs rescue based on the health condition and the vehicle state data.

In a possible implementation manner, the alarm device further includes:

an occupant physiological characteristic sensing information acquisition unit configured to acquire physiological characteristic sensing information of the occupant;

the passenger vital sign index determining unit is used for determining the vital sign indexes of passengers in the cabin body based on the physiological characteristic sensing information;

and the passenger health abnormity determining unit is used for determining the health condition of the passenger in the cabin body as an abnormal condition when the vital sign index exceeds a normal index range.

In one possible implementation, the health detection unit includes:

an occupant body posture determination unit for determining the body posture of the in-cabin occupant based on the image information;

the first passenger health abnormity determining subunit is used for determining the health condition of the passenger in the cabin body to be an abnormal condition when the body posture is a preset abnormal body posture.

In one possible implementation, the occupant body posture determination unit includes:

the human face detection and/or human body detection unit is used for carrying out human face detection and/or human body detection on the cabin based on the image information;

the passenger information determining unit is used for determining passenger information in the cabin according to the detection result of the human face detection and/or the human body detection;

and the passenger body posture determining subunit is used for detecting the body posture of the passenger corresponding to the passenger information based on the image information.

In one possible implementation, the occupant body posture determining subunit includes:

an attitude angle detection unit for detecting an attitude angle of a head and/or a trunk of the occupant in the cabin in the vehicle coordinate system;

an abnormal posture determination unit for determining the body posture of the passenger in the cabin as a preset abnormal body posture when the posture angle exceeds a first angle threshold.

In one possible implementation, the occupant body posture determining subunit includes:

a relative posture detecting unit for detecting a relative posture of a head and/or a trunk of the occupant in the cabin with respect to a fixed member inside the vehicle;

and the abnormal posture determining subunit is used for determining the body posture of the passenger in the cabin to be a preset abnormal body posture under the condition that the relative posture does not belong to a preset posture range.

In one possible implementation, the abnormal body posture includes at least one of:

the body and/or head is tilted to one side, the head is tilted downward, and the face is upward.

In one possible implementation, the health detection unit includes:

and the second passenger health abnormity determining subunit is used for responding to the detection of bleeding of passengers in the cabin based on the image information and determining that the health condition of the passengers in the cabin is an abnormal condition.

In one possible implementation, the apparatus further includes:

a rescue determination unit to determine whether the occupants in the cabin require rescue based on the health condition and the vehicle state data.

In one possible implementation, the vehicle state data includes driving state data representing a driving state of the vehicle and/or controlled state data representing a controlled state of the vehicle.

In one possible implementation, in a case where the vehicle state data includes driving state data of a vehicle, the rescue determination unit includes:

the first rescue determining subunit is used for determining that the passengers in the cabin need to be rescued in response to the fact that the health condition of the passengers in the cabin is changed from a normal condition to an abnormal condition and the change range of the driving state data of the vehicle exceeds a preset range;

wherein the preset controlled state data comprises at least one of:

data indicating that a brake pedal is depressed, data indicating that an accelerator pedal is depressed, and data indicating that a steering wheel is turned.

In one possible implementation, the vehicle state data includes controlled state data of a vehicle, and the rescue determination unit includes:

a second rescue determination subunit for responding to the change of the health condition of the passengers in the cabin from the normal condition to the abnormal condition, and the second rescue determination subunit is used for determining the state of the passengers in the cabin.

In one possible implementation, the alarm information includes at least one of:

occupant injury condition, occupant illness condition, vehicle driving status data, vehicle controlled status data.

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. 3 illustrates a block diagram of an electronic device 800 in accordance with 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. 3, electronic device 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and 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. 4 shows a block 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. 4, 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) Open native code Unix-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.

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.