Living body leaving detection method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a living body leaving detection method and device, electronic equipment and a storage medium, and the method comprises the steps: receiving in-vehicle human body living body data transmitted by a millimeter wave radar sensor, and the human body living body data at least comprises heartbeat information; receiving multimedia data sent by the camera device; living body detection is carried out on the human body living body data and the multimedia data; and determining an early warning processing strategy under the condition that at least one of the human body living body data and the multimedia data meets the early warning condition, according to the embodiment of the invention, the collected human body living body data and the multimedia data are subjected to living body detection, if the early warning condition is met, the early warning processing strategy is carried out, and the early warning processing strategy can be determined according to different detection results. And executing different early warning processing strategies.

Description

Technical Field

[0001] The present application relates to the field of detection technology, and in particular to a method, device, electronic device and storage medium for detecting live remains. Background Art

[0002] With the development of transportation, cars are used more and more. Passengers may leave children in the car when riding, which not only causes many inconveniences to passengers, but also risks the lives of children if not handled properly. Therefore, the detection of living bodies left in the car is particularly important. The live body detection technology currently on the market mainly uses on-board cameras to take pictures of specific areas and uses visual algorithms to identify whether there are living bodies left. However, each single detection method has its limitations. For example, the camera may be blocked by obstacles in the car such as seats, and its field of view is also limited. In addition, the unstable light environment in the car may make it impossible to detect due to insufficient light. Therefore, the current single detection method has a low accuracy rate in live body detection. Summary of the invention

[0003] The purpose of some embodiments of the present application is to provide a method, device, electronic device and storage medium for detecting remaining living bodies. Through the technical solutions of the embodiments of the present application, by receiving the living body data of the human body in the vehicle sent by the millimeter wave radar sensor, wherein the living body data of the human body at least includes heartbeat information; receiving the multimedia data sent by the camera device; performing living body detection on the living body data of the human body and the multimedia data respectively; and determining a warning processing strategy when at least one of the living body data of the human body and the multimedia data meets the warning condition. The embodiments of the present application perform living body detection on the collected living body data and multimedia data. If the warning condition is met, a warning processing strategy is performed. Different warning processing strategies can be executed according to different detection results to improve the accuracy of living body detection.

[0004] In a first aspect, some embodiments of the present application provide a method for detecting live residues, comprising:

[0005] Receiving human body living data in the vehicle sent by the millimeter wave radar sensor, wherein the human body living data at least includes heartbeat information;

[0006] Receiving multimedia data sent by a camera device;

[0007] Performing liveness detection on the human liveness data and the multimedia data respectively;

[0008] When at least one of the human living body data and the multimedia data meets the warning condition, a warning processing strategy is determined.

[0009] Some embodiments of the present application perform liveness detection on the collected human liveness data and multimedia data, and if the warning conditions are met, a warning processing strategy is implemented. Different warning processing strategies can be executed according to different detection results.

[0010] Optionally, when at least one of the human living body data and the multimedia data meets the warning condition, determining the warning processing strategy includes:

[0011] If the human living body data is less than the preset heartbeat data, and / or the multimedia data meets the preset matching rule, the early warning processing strategy is determined.

[0012] Some embodiments of the present application perform liveness detection in a variety of ways to improve detection accuracy.

[0013] Optionally, if the multimedia data satisfies a preset matching rule, determining the early warning processing strategy includes:

[0014] Using a pre-trained face detection model to recognize faces in the multimedia data to obtain face recognition results;

[0015] According to the face recognition result and the preset face database, the personnel information corresponding to the face recognition result is determined;

[0016] Determine the early warning processing strategy based on the face recognition result.

[0017] Some embodiments of the present application determine different warning processing strategies according to different recognition results to improve the diversity of warnings.

[0018] Optionally, determining the early warning processing strategy at least includes:

[0019] If the first warning condition is met, determining a first processing strategy corresponding to the first warning condition, the first processing strategy at least comprising sending a first reminder message to the user terminal device through a mobile communication protocol; the first warning condition is that a living body is detected;

[0020] If the second warning condition is met, determining a second processing strategy corresponding to the second warning condition, wherein the second warning condition is detecting abnormal vital signs of a living body, and the second processing strategy at least includes turning on an air conditioning circulation system;

[0021] If the third warning condition is met, a third processing strategy corresponding to the third warning condition is determined, and the third warning condition is that the first warning condition remains unresolved for a preset time. The third processing strategy at least includes executing a sound alarm and sending a second reminder message to the user terminal device.

[0022] In some embodiments of the present application, different warning conditions correspond to different processing strategies, and warnings can be issued according to different situations.

[0023] In a second aspect, some embodiments of the present application provide a living body residue detection device, including:

[0024] A first receiving module is used to receive the human body living data in the vehicle sent by the millimeter wave radar sensor, wherein the human body living data at least includes heartbeat information;

[0025] A second receiving module, used for receiving multimedia data sent by the camera device;

[0026] A detection module, used for performing liveness detection on the human liveness data and the multimedia data respectively;

[0027] The early warning module is used to determine an early warning processing strategy when at least one of the human living body data and the multimedia data meets the early warning condition.

[0028] Some embodiments of the present application perform liveness detection on the collected human liveness data and multimedia data, and if the warning conditions are met, a warning processing strategy is implemented. Different warning processing strategies can be executed according to different detection results.

[0029] Optionally, the early warning module is used to:

[0030] If the human living body data is less than the preset heartbeat data, and / or the multimedia data meets the preset matching rule, the early warning processing strategy is determined.

[0031] Some embodiments of the present application perform liveness detection in a variety of ways to improve detection accuracy.

[0032] Optionally, the early warning module is used to:

[0033] Using a pre-trained face detection model to recognize faces in the multimedia data to obtain face recognition results;

[0034] According to the face recognition result and the preset face database, the personnel information corresponding to the face recognition result is determined;

[0035] Determine the early warning processing strategy based on the face recognition result.

[0036] Some embodiments of the present application determine different warning processing strategies according to different recognition results to improve the diversity of warnings.

[0037] Optionally, the early warning module is used to:

[0038] If the first warning condition is met, determining a first processing strategy corresponding to the first warning condition, the first processing strategy at least comprising sending a first reminder message to the user terminal device through a mobile communication protocol; the first warning condition is that a living body is detected;

[0039] If the second warning condition is met, determining a second processing strategy corresponding to the second warning condition, wherein the second warning condition is detecting abnormal vital signs of a living body, and the second processing strategy at least includes turning on an air conditioning circulation system;

[0040] If the third warning condition is met, a second processing strategy corresponding to the third warning condition is determined, and the third warning condition is that the first warning condition remains unresolved for a preset time. The third processing strategy at least includes executing a sound alarm and sending a second reminder message to the user terminal device.

[0041] In some embodiments of the present application, different warning conditions correspond to different processing strategies, and warnings can be issued according to different situations.

[0042] In a third aspect, some embodiments of the present application provide an electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the program, the live body residue detection method as described in any embodiment of the first aspect can be implemented.

[0043] In a fourth aspect, some embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can implement the method for detecting live remains as described in any embodiment of the first aspect.

[0044] In a fifth aspect, some embodiments of the present application provide a computer program product, comprising a computer program, wherein the computer program, when executed by a processor, can implement the live body residue detection method as described in any embodiment of the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of some embodiments of the present application, the drawings required for use in some embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 A schematic diagram of a flow chart of a live body residue detection method provided in an embodiment of the present application;

[0047] Figure 2A schematic diagram of a vehicle provided in an embodiment of the present application;

[0048] Figure 3 A schematic diagram of the structure of a live body residue detection system provided in an embodiment of the present application;

[0049] Figure 4 A schematic diagram of a flow chart of another living body residue detection method provided in an embodiment of the present application;

[0050] Figure 5 A schematic diagram of the structure of a living body residue detection device provided in an embodiment of the present application;

[0051] Figure 6 A schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0052] The technical solutions in some embodiments of the present application will be described below in conjunction with the drawings in some embodiments of the present application.

[0053] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0054] With the development of transportation, cars are used more and more. Passengers may leave children in the car when riding, which not only causes many inconveniences to passengers, but also puts children's lives at risk if not handled properly. Therefore, the detection of living bodies left in the car is particularly important. The current live body detection technology on the market mainly uses the on-board camera to take pictures of specific areas and uses visual algorithms to identify whether there are living bodies left. However, each single detection method has its limitations. For example, the camera may be blocked by obstacles in the car such as seats, and its field of view is also limited. In addition, the unstable light environment in the car may make it impossible to detect due to insufficient light. Therefore, the current single detection method has a low accuracy rate of live body detection. In view of this, some embodiments of the present application provide a method for detecting residual living bodies, which includes receiving human living body data in a vehicle sent by a millimeter-wave radar sensor, wherein the human living body data includes at least heartbeat information; receiving multimedia data sent by a camera device; performing liveness detection on the human living body data and the multimedia data respectively; and determining a warning processing strategy when at least one of the human living body data and the multimedia data meets the warning conditions. The embodiments of the present application perform liveness detection on the collected human living body data and multimedia data. If the warning conditions are met, a warning processing strategy is performed. Different warning processing strategies can be executed according to different detection results.

[0055] like Figure 1 As shown, an embodiment of the present application provides a method for detecting residual living body, the method comprising:

[0056] S101, receiving human body living data in a vehicle sent by a millimeter wave radar sensor, wherein the human body living data at least includes heartbeat information;

[0057] S102, receiving multimedia data sent by a camera device;

[0058] Specifically, a millimeter radar sensor and a camera device are installed in the vehicle, and the millimeter wave radar sensor sends living human body data in the vehicle, where the living human body data at least includes heartbeat information, and the camera device collects multimedia data, where the multimedia data at least includes video data and image data.

[0059] The millimeter radar sensor sends the collected human body living data to the processing device, the camera device sends the collected multimedia data to the processing device, and the processing device receives the human body living data and the multimedia data.

[0060] S103, performing liveness detection on human liveness data and multimedia data respectively;

[0061] The processing device performs liveness detection on the acquired human liveness data and multimedia data to determine whether there is anyone in the car.

[0062] S104: When at least one of the human living body data and the multimedia data meets the warning condition, determine a warning processing strategy.

[0063] Specifically, after performing liveness detection on human liveness data and multimedia data, the processing device obtains a detection result, and determines whether the detection result meets a warning condition. If the warning condition is met, a warning processing strategy is generated.

[0064] Some embodiments of the present application perform liveness detection on the collected human liveness data and multimedia data, and if the warning conditions are met, a warning processing strategy is implemented. Different warning processing strategies can be executed according to different detection results.

[0065] Another embodiment of the present application further supplements the living body residue detection method provided in the above embodiment.

[0066] Optionally, when at least one of the human living body data and the multimedia data meets the warning condition, determining a warning processing strategy includes:

[0067] If the human body data is less than the preset heartbeat data, and / or the multimedia data meets the preset matching rules, then the early warning processing strategy is determined.

[0068] Some embodiments of the present application perform liveness detection in a variety of ways to improve detection accuracy.

[0069] Optionally, if the multimedia data meets the preset matching rule, an early warning processing strategy is determined, including:

[0070] Use a pre-trained face detection model to identify faces in multimedia data and obtain face recognition results;

[0071] According to the face recognition result and the preset face database, the person information corresponding to the face recognition result is determined;

[0072] Determine the early warning processing strategy based on the face recognition results.

[0073] Some embodiments of the present application determine different warning processing strategies according to different recognition results to improve the diversity of warnings.

[0074] Optionally, determining the early warning processing strategy at least includes:

[0075] If the first warning condition is met, determining a first processing strategy corresponding to the first warning condition, the first processing strategy at least comprising sending a first reminder message to the user terminal device through a mobile communication protocol; the first warning condition is that a living body is detected;

[0076] If the second warning condition is met, determining a second processing strategy corresponding to the second warning condition, the second warning condition being that abnormal vital signs of a living body are detected, and the second processing strategy at least includes turning on the air conditioning circulation system;

[0077] If the third warning condition is met, a third processing strategy corresponding to the third warning condition is determined. The third warning condition is that the first warning condition remains unresolved for a preset time. The third processing strategy at least includes executing a sound alarm and sending a second reminder message to the user terminal device.

[0078] In some embodiments of the present application, different warning conditions correspond to different processing strategies, and warnings can be issued according to different situations.

[0079] The embodiment of the present application comprehensively calculates the millimeter wave radar detection results, infrared detection results and camera detection results, and takes action and issues an alarm after confirming that there is a living body left.

[0080] Millimeter-wave radar can monitor the heartbeat or movement of living things in the car by measuring the distance of objects moving, but the monitoring coverage is limited, especially when there are objects blocking the view. Infrared cameras can determine whether there is a person through recognition algorithms, but they are also affected by factors such as image blocking, which will affect the results. Combining the detection characteristics of the two, millimeter-wave radars are arranged in the blind spots of the cameras. When one or both of them sound an alarm, it is considered that there is a living person left.

[0081] Schematic diagram of the radar layout in the passenger area (the camera reuses the OMS system camera), such as Figure 2 shown.

[0082] The overall structure diagram is as follows Figure 3 As shown, the overall structure includes an infrared camera, a legacy detection control unit, an on-board network terminal, a speaker, a central control screen, etc.

[0083] Methods for detecting live residues Figure 4 As shown, including:

[0084] 1) Receive the millimeter wave sensor and infrared sensor signals of the vehicle-mounted liveness detection system, detect the reflected signal of the chest rise and fall and collect external radiation to obtain the liveness detection data, and receive the in-vehicle images taken by the camera of the vehicle-mounted liveness detection system.

[0085] 2) Perform liveness detection on liveness detection data and liveness detection on in-vehicle images.

[0086] The millimeter wave sensor records phase changes and calculates breathing frequency and heart rate. The infrared sensor receives infrared radiation temperature and releases electric charge when it changes. The in-car images compare images and analyze categories to determine and identify the breathing, heart rate, body temperature and other health conditions of the remaining passengers in the car.

[0087] Millimeter-wave radar collects changes in the position of the chest caused by the heartbeat. By collecting changes in the distance of chest movement, the heart rate can be calculated.

[0088] The infrared camera captures images of the interior of the car and can use image recognition algorithms to compare whether there is someone in the car. After receiving the millimeter-wave radar alarm signal, it can also be confirmed through images.

[0089] 3) If the value of the living body detection data and the in-vehicle image data is fused and calculated, and a living body is detected in the vehicle, the in-vehicle living body alarm and automatic window lowering operation will be executed. The specific risk level definition and triggering criteria are shown in Table 1:

[0090] Table 1

[0091]

[0092] It should be noted that each implementable method in this embodiment may be implemented separately, or may be implemented in combination in any combination without conflict, and this application is not limited thereto.

[0093] Another embodiment of the present application provides a live body residue detection device, which is used to execute the live body residue detection method provided in the above embodiment.

[0094] like Figure 5 , which is a schematic diagram of the structure of a live body detection device provided in an embodiment of the present application. The live body detection device comprises a first receiving module 501, a second receiving module 502, a detection module 503 and an early warning module 504, wherein:

[0095] The first receiving module 501 is used to receive the human body living data in the vehicle sent by the millimeter wave radar sensor, wherein the human body living data at least includes heartbeat information;

[0096] The second receiving module 502 is used to receive multimedia data sent by the camera device;

[0097] The detection module 503 is used to perform liveness detection on human liveness data and multimedia data respectively;

[0098] The warning module 504 is used to determine a warning processing strategy when at least one of the human living body data and the multimedia data meets the warning condition.

[0099] Regarding the device in this embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0100] Some embodiments of the present application perform liveness detection on the collected human liveness data and multimedia data, and if the warning conditions are met, a warning processing strategy is implemented. Different warning processing strategies can be executed according to different detection results.

[0101] Another embodiment of the present application further supplements the living body residue detection device provided in the above embodiment.

[0102] Optionally, the early warning module is used to:

[0103] If the human body data is less than the preset heartbeat data, and / or the multimedia data meets the preset matching rules, then the early warning processing strategy is determined.

[0104] Some embodiments of the present application perform liveness detection in a variety of ways to improve detection accuracy.

[0105] Optionally, the early warning module is used to:

[0106] Use a pre-trained face detection model to identify faces in multimedia data and obtain face recognition results;

[0107] According to the face recognition result and the preset face database, the person information corresponding to the face recognition result is determined;

[0108] Determine the early warning processing strategy based on the face recognition results.

[0109] Some embodiments of the present application determine different warning processing strategies according to different recognition results to improve the diversity of warnings.

[0110] Optionally, the early warning module is used to:

[0111] If the first warning condition is met, determining a first processing strategy corresponding to the first warning condition, the first processing strategy at least comprising sending a first reminder message to the user terminal device through a mobile communication protocol; the first warning condition is that a living body is detected;

[0112] If the second warning condition is met, determining a second processing strategy corresponding to the second warning condition, the second warning condition being that abnormal vital signs of a living body are detected, and the second processing strategy at least includes turning on the air conditioning circulation system;

[0113] If the third warning condition is met, a second processing strategy corresponding to the third warning condition is determined. The third warning condition is that the first warning condition remains unresolved for a preset time. The third processing strategy at least includes executing a sound alarm and sending a second reminder message to the user terminal device.

[0114] In some embodiments of the present application, different warning conditions correspond to different processing strategies, and warnings can be issued according to different situations.

[0115] Regarding the device in this embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0116] It should be noted that each implementable method in this embodiment may be implemented separately, or may be implemented in combination in any combination without conflict, and this application is not limited thereto.

[0117] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the operation of the method corresponding to any embodiment of the living body residue detection method provided in the above embodiments can be implemented.

[0118] An embodiment of the present application also provides a computer program product, which includes a computer program, wherein when the computer program is executed by a processor, it can implement the operations of the method corresponding to any embodiment of the living body residue detection method provided in the above embodiments.

[0119] like Figure 6 As shown, some embodiments of the present application provide an electronic device 600, which includes: a memory 610, a processor 620, and a computer program stored in the memory 610 and executable on the processor 620, wherein the processor 620 can implement a method of any embodiment of the above-mentioned live body residue detection method when reading the program from the memory 610 through a bus 630 and executing the program.

[0120] Processor 620 can process digital signals and can include various computing structures, such as complex instruction set computer structure, reduced instruction set computer structure, or a structure that implements a combination of multiple instruction sets. In some examples, processor 620 can be a microprocessor.

[0121] The memory 610 may be used to store instructions executed by the processor 620 or data related to the execution of instructions. These instructions and / or data may include codes for implementing some or all functions of one or more modules described in the embodiments of the present application. The processor 620 of the disclosed embodiment may be used to execute instructions in the memory 610 to implement the method shown above. The memory 610 includes a dynamic random access memory, a static random access memory, a flash memory, an optical memory, or other memory known to those skilled in the art.

[0122] The above are only embodiments of the present application and are not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0123] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0124] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

Claims

1. A method for detecting live residues, characterized in that: The method comprises: Receiving human body living data in the vehicle sent by the millimeter wave radar sensor, wherein the human body living data at least includes heartbeat information; Receiving multimedia data sent by a camera device; Performing liveness detection on the human liveness data and the multimedia data respectively; When at least one of the human living body data and the multimedia data meets the warning condition, a warning processing strategy is determined.

2. The method for detecting live body residues according to claim 1, characterized in that: The step of determining a warning processing strategy when at least one of the human living body data and the multimedia data meets the warning condition comprises: If the human living body data is less than the preset heartbeat data, and / or the multimedia data meets the preset matching rule, the early warning processing strategy is determined.

3. The method for detecting live residues according to claim 2, characterized in that: If the multimedia data satisfies the preset matching rule, determining the early warning processing strategy includes: Using a pre-trained face detection model to recognize faces in the multimedia data to obtain face recognition results; According to the face recognition result and the preset face database, the personnel information corresponding to the face recognition result is determined; Determine the early warning processing strategy based on the face recognition result.

4. The method for detecting live body residues according to claim 1, characterized in that: Determining the early warning processing strategy at least includes: If the first warning condition is met, determining a first processing strategy corresponding to the first warning condition, the first processing strategy at least comprising sending a first reminder message to the user terminal device through a mobile communication protocol; the first warning condition is that a living body is detected; If the second warning condition is met, determining a second processing strategy corresponding to the second warning condition, wherein the second warning condition is detecting abnormal vital signs of a living body, and the second processing strategy at least includes turning on an air conditioning circulation system; If the third warning condition is met, a second processing strategy corresponding to the third warning condition is determined, and the third warning condition is that the first warning condition remains unresolved for a preset time. The third processing strategy at least includes executing a sound alarm and sending a second reminder message to the user terminal device.

5. A living body residue detection device, characterized in that: The device comprises: A first receiving module is used to receive the human body living data in the vehicle sent by the millimeter wave radar sensor, wherein the human body living data at least includes heartbeat information; A second receiving module, used for receiving multimedia data sent by the camera device; A detection module, used for performing liveness detection on the human liveness data and the multimedia data respectively; The early warning module is used to determine an early warning processing strategy when at least one of the human living body data and the multimedia data meets the early warning condition.

6. The living body residue detection device according to claim 5, characterized in that: The early warning module is used to: If the human living body data is less than the preset heartbeat data, and / or the multimedia data meets the preset matching rule, the early warning processing strategy is determined.

7. The living body residue detection device according to claim 6, characterized in that: The early warning module is used to: Using a pre-trained face detection model to recognize faces in the multimedia data to obtain face recognition results; According to the face recognition result and the preset face database, the personnel information corresponding to the face recognition result is determined; Determine the early warning processing strategy based on the face recognition result.

8. The living body residue detection device according to claim 5, characterized in that: The early warning module is used to: If the first warning condition is met, determining a first processing strategy corresponding to the first warning condition, the first processing strategy at least comprising sending a first reminder message to the user terminal device through a mobile communication protocol; The first warning condition is detection of a living body; If the second warning condition is met, determining a second processing strategy corresponding to the second warning condition, wherein the second warning condition is detecting abnormal vital signs of a living body, and the second processing strategy at least includes turning on an air conditioning circulation system; If the third warning condition is met, a second processing strategy corresponding to the third warning condition is determined, and the third warning condition is that the first warning condition remains unresolved for a preset time. The third processing strategy at least includes executing a sound alarm and sending a second reminder message to the user terminal device.

9. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor can implement the method for detecting live remains as described in any one of claims 1 to 4 when executing the program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the program is executed by a processor, the method for detecting living remains as described in any one of claims 1 to 4 can be implemented.

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