Detection system

Abstract

To provide a detection system, detection device, and detection program that are inexpensive, compact, lightweight, easy to operate, and capable of accurately detecting humans or animals.SOLUTION: A detection system for detecting humans or animals comprises: signal acquisition means which emits irradiation waves being microwaves or millimeter-waves and acquires a Doppler output signal according to the frequency of a difference value between the frequency of the irradiation waves and the frequency of the reflected waves; extraction means which extracts extraction information including first signals in a first frequency band corresponding to respiration and second signals in a second frequency band corresponding to body movement from the Doppler output signal; evaluation means which generates evaluation information on the basis of the extraction information; and output means which generates a detection result on the basis of the evaluation information and outputs the detection result.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a system for detecting objects, in particular people or animals. [Background technology]

[0002] In recent years, there have been several reported cases of people being buried alive under rubble such as buildings that have collapsed due to earthquakes, or under soil and sand. When rescuing such people, it is extremely important to carry out rescue operations in the early hours after they are buried, known as the "golden 72 hours." This is because the earlier rescue can be performed, the higher the chance of survival.

[0003] To realize such initial rescue, search tools are used to search for people buried under rubble. However, existing search tools have several problems. Namely, these search tools are 1) expensive, 2) large and inconvenient to carry, and 3) require specialized knowledge and skills to use, and can only be operated by certain people.

[0004] For example, Patent Document 1 proposes a search unit called a rolling distributed search unit for a victim search system, but it has a problem that it is inconvenient to carry because it has a rollable outer shell that is resistant to the environment.In addition, since infrared sensors and gas sensors are used to detect people, the technology described in Patent Technology 1 cannot accurately detect victims. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2007-167633 A Summary of the Invention [Problem to be solved by the invention]

[0006] SUMMARY OF THE PRESENT EMBODIMENT An object of the present invention is to provide a detection system that solves the above-mentioned problems in the conventional technology.

[0007] In particular, the object is to provide a detection system as described above that is inexpensive, small, lightweight, easy to operate, and capable of detecting humans or animals with high accuracy. [Means for solving the problem]

[0008] The present inventors have conducted intensive research to solve the above-mentioned problems. As a result, the inventors have found that a detection system for detecting a person or an animal, comprising: an acquisition means for irradiating an irradiation wave, which is a microwave or a millimeter wave, and acquiring a Doppler output signal corresponding to a frequency of a difference value between the frequency of the irradiation wave and the frequency of the reflected wave; an extraction means for extracting extracted information including a first signal in a first frequency band corresponding to respiration and a second signal in a second frequency band corresponding to body movement from the Doppler output signal; an evaluation means for generating evaluation information by evaluating the extracted information based on the extracted information; and an output means for generating a detection result based on the evaluation information and outputting the detection result, the evaluation information including a respiration evaluation by evaluating the first signal and a body movement evaluation by evaluating the second signal, can provide a detection system that is inexpensive, compact, lightweight, and excellent in operability, and can accurately detect a person or an animal, and have completed the present invention. Specifically, the present invention provides the following.

[0009] (1) A detection system for detecting an object, comprising: a signal acquiring means for irradiating an irradiation wave, which is a microwave or a millimeter wave, and acquiring a Doppler output signal corresponding to a frequency of a difference value between the frequency of the irradiation wave and the frequency of the reflected wave; an extraction means for extracting extracted information including a first signal in a first frequency band corresponding to respiration and a second signal in a second frequency band corresponding to body movement from the Doppler output signal; an evaluation means for generating evaluation information by evaluating the extracted information based on the extracted information; and an output unit that generates a detection result based on the evaluation information and outputs the detection result. Detection system.

[0010] (2) A detection system for detecting an object, comprising: a signal acquiring means for irradiating an irradiation wave, which is a microwave or a millimeter wave, and acquiring a Doppler output signal corresponding to a frequency of a difference value between the frequency of the irradiation wave and the frequency of the reflected wave; an extraction means for extracting extracted information including a first signal in a first frequency band corresponding to respiration or a second signal in a second frequency band corresponding to body movement from the Doppler output signal; an evaluation means for generating evaluation information by evaluating the extracted information based on the extracted information; and an output unit that generates a detection result based on the evaluation information and outputs the detection result. Detection system.

[0011] (3) The detection system according to (1), wherein the extraction means extracts the extracted information further including a third signal in a third frequency band corresponding to a heart rate.

[0012] (4) The detection system according to (1) or (2), wherein the acquisition means irradiates the irradiation wave, which is a microwave, onto rubble.

[0013] (5) Further comprising a reference database in which past extracted information including a past first signal and a past second signal, reference information used to evaluate the past extracted information, and a correlation degree between the past extracted information and the reference information of three or more levels are stored, The detection system according to (4), wherein the evaluation means refers to the reference database and generates the evaluation information including a first correlation degree of three or more levels between the extracted information and the reference information.

[0014] (6) The detection system according to (5), wherein the reference database is constructed by machine learning using the previously extracted information and the reference information.

[0015] (7) The detection system according to (5), further comprising an update means for, when a relationship between the previously extracted information and the reference information is newly acquired, reflecting the relationship in the degree of association.

[0016] (8) a plurality of the signal acquiring means; a first position information acquiring means for acquiring first position information relating to a position of each of the signal acquiring means; and second position information generating means for generating second position information relating to a position of an object to be detected based on the first position information acquiring means, The plurality of signal acquisition means irradiate the irradiation wave by each of the signal acquisition means at the same irradiation time, and each of the signal acquisition means acquires the intensity of the Doppler output signal and the acquisition time at which the Doppler output signal was acquired; the second position information generating means generates the second position information based on the intensity of each of the Doppler output signals, the acquisition time of each of the Doppler output signals, and the first position information of each of the signal acquiring means; The detection system according to (7), wherein the evaluation means generates evaluation information based on the extracted information including the second position information.

[0017] (9) A detection system for detecting an object, comprising: a signal acquiring means for irradiating an irradiation wave, which is a microwave or a millimeter wave, and acquiring a Doppler output signal corresponding to a frequency of a difference value between the frequency of the irradiation wave and the frequency of the reflected wave; an extraction means for extracting extracted information including a signal in a frequency band corresponding to continuous hitting sounds from the Doppler output signal; an evaluation means for generating evaluation information by evaluating the extracted information based on the extracted information; and an output unit that generates a detection result based on the evaluation information and outputs the detection result. Detection system. Effect of the Invention

[0018] According to the present invention, it is possible to provide a device that is inexpensive, small, lightweight, and easy to operate, and that can detect people or animals with high accuracy. [Brief description of the drawings]

[0019] [Figure 1] 1 is a diagram showing an overall configuration of a detection system according to a first embodiment. [Diagram 2] FIG. 4 is a diagram illustrating an example of an evaluation result output in the first embodiment. [Diagram 3] FIG. 2A is a diagram illustrating an example of a hardware configuration of a detection device in the detection system, and FIG. 2B is a diagram illustrating an example of functional elements (functional units) of the detection device. [Figure 4] FIG. 13 is a diagram showing an example of a situation in which extraction information and evaluation information are generated from a Doppler extraction signal. [Diagram 5] FIG. 4 is a schematic diagram showing an example of a reference database in the first embodiment. [Figure 6] FIG. 11 is a schematic diagram showing a modified example of the reference database in the first embodiment. [Figure 7] 4 is a flowchart showing an example of the operation of the detection system in the first embodiment. [Figure 8] 10 is a flowchart showing a modified example of the operation of the detection system in the first embodiment. [Figure 9] FIG. 13 is a diagram illustrating an example of an overall configuration of a detection system according to a third embodiment. [Figure 10] 13 is a schematic diagram showing an example of a function of a detection device of a detection system in a third embodiment. FIG. [Figure 11] FIG. 13 is a diagram illustrating an example of an overall configuration of a detection system according to a fourth embodiment. [Figure 12] 13 is a schematic diagram showing an example of a function of a detection device of a detection system in a fourth embodiment. FIG. [Figure 13] 1 is an external view of a detection device 1 according to the present invention. [Figure 14] 3A to 3C are diagrams showing LED control in each state of the detection device 1 according to the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0020] Hereinafter, an example of a detection system according to an embodiment of the present invention will be described with reference to the drawings.

[0021] (First embodiment) The detection system according to the first embodiment is a detection system for detecting an object, and includes a signal acquisition means for irradiating an irradiation wave which is a microwave or a millimeter wave, and acquiring a Doppler output signal corresponding to a frequency value of the difference between the frequency of the irradiation wave and the frequency of the reflected wave, an extraction means for extracting extracted information from the Doppler output signal, the extracted information including a first signal in a first frequency band corresponding to respiration and a second signal in a second frequency band corresponding to body movement, an evaluation means for generating evaluation information by evaluating the extracted information based on the extracted information, and an output means for generating a detection result based on the evaluation information and outputting the detection result.

[0022] Fig. 1 shows the overall configuration of a detection system according to the first embodiment. With reference to this figure, an example of the configuration of a detection system 100 will be described.

[0023] As shown in Fig. 1, the detection system 100 comprises a detection device 1, a user terminal 2, a server 3, and an information and communication network 4 that connects them to each other in a wired and wireless manner. Here, the detection device 1 is a component that actually detects an object. The user terminal 2 is a terminal that receives instructions from a user for the detection device 1, and outputs and displays the detection results by the detection device 1 to the user. The server 3 is used when detecting an object in cooperation with the detection device 1.

[0024] Such a detection system 100 is a system for detecting objects buried in rubble such as collapsed buildings and earth and sand, or for detecting objects in indoor environments such as homes, hospitals, etc. The objects to be detected are humans or animals.

[0025] Fig. 2 is a diagram showing an example of an evaluation result output in the first embodiment. As shown in Fig. 2, the detection system 100 extracts extracted information including a first signal in a first frequency band corresponding to the breathing of a person or animal and a second signal in a second frequency band corresponding to the body movement of the person or animal from the Doppler output signal, generates evaluation information by evaluating the extracted information, and generates a detection result of the person or animal based on the evaluation information. This makes it possible to accurately detect a person or animal buried in rubble.

[0026] <Configuration of detection device 1> 3(a) is a schematic diagram showing an example of the configuration of the detection device 1. For example, an electronic device equipped with a computer such as a microcomputer is used as the detection device 1. The detection device 1 includes a housing 10, a CPU 101, a ROM 102, a RAM 103, a storage unit 104, and I / Fs 105 to 107. The components 101 to 107 are connected to each other via an internal bus 110.

[0027] The CPU (Central Processing Unit) 101 controls the entire detection device 1. The ROM (Read Only Memory) 102 stores the operation code of the CPU 101. The RAM (Random Access Memory) 103 is a temporary work area used when the CPU 101 is operating. The storage unit 104 stores various information such as Doppler output signals and position information. For example, a hard disk drive (HDD), a solid state drive (SSD), or other data storage device is used as the storage unit 104. The detection device 1 may have a graphics processing unit (GPU) (not shown). Having a GPU enables faster calculation processing than usual.

[0028] The I / F 105 is an interface for transmitting and receiving various information to and from the server 3, etc., via the information communication network 4. The I / F 106 is an interface for transmitting and receiving information to and from the input section 108. For example, a keyboard or a touch panel of the user terminal 2 is used as the input section 108. A user of the detection system 100 inputs various information or a control command of the detection device 1, etc., via the input section 108. The I / F 107 is an interface for transmitting and receiving various information to and from the output section 109. The output section 109 outputs various information stored in the storage unit 104, or a processing status of the detection device 1, etc. The display of the user terminal 2 is used as the output section 109. For example, a touch panel can be used as the output section 109. In this case, the output section 109 is a common component with the input section 108.

[0029] Fig. 3(b) is a schematic diagram showing an example of the configuration of functional elements of the detection device 1. The detection device 1 includes a signal acquisition unit 11, an extraction unit 12, an evaluation unit 13, an output unit 14, and an input unit 15. The detection device 1 may further include, for example, a first position information acquisition unit 16, a communication unit 17, an information DB 18, and an update unit 19. The functional elements shown in Fig. 3(b) are realized by the CPU 101 using the RAM 103 as a working area to execute a program stored in the storage unit 104 or the like. Furthermore, each of the components 11 to 19 may be controlled by, for example, artificial intelligence.

[0030] In addition, in FIG. 1, only the detection device 1 is shown as the detection device, but the number of detection devices is not limited to one, and a plurality of detection devices can be used simultaneously.

[0031] <Signal Acquisition Unit 11> A Doppler sensor is used as the signal acquisition unit 11. The signal acquisition unit 11 irradiates an irradiation wave, which is a microwave or millimeter wave, and acquires a Doppler output signal according to a frequency of a difference value between the frequency of the irradiation wave and the frequency of the reflected wave. A microwave Doppler sensor that irradiates microwaves may be used as the signal acquisition unit 11. The signal acquisition unit 11 irradiates a target area where it is desired to detect an object (person or animal) such as rubble or indoors with the irradiation wave. The signal acquisition unit 11 can irradiate an irradiation wave within a range of about a 5 m radius centered on the detection device 1.

[0032] The signal acquisition unit 11 or a structure including the signal acquisition unit 11 (for example, the detection device 1, etc.) may be flown by an aircraft such as a drone, irradiate radiation waves from the sky, and acquire Doppler output signals. This makes it possible to detect people or animals even in places where people normally cannot or are difficult to reach.

[0033] The Doppler output signal is not particularly limited and may be two Doppler signals of I phase and Q phase acquired by an IQ phase detector used in the Doppler sensor, or a Doppler signal of either I phase or Q phase.

[0034] <Extraction part 12> As shown in FIG. 4, the extraction unit 12 separates a first signal in a first frequency band corresponding to the breathing of a person or an animal and a second signal in a second frequency band corresponding to the body movement of a person or an animal from the Doppler output signal acquired by the signal acquisition unit 11, and extracts extracted information including the separated first signal and second signal. The first frequency band is, for example, a frequency greater than 0 Hz and equal to or less than 0.5 Hz. The second frequency band is, for example, a frequency greater than 0.5 Hz and equal to or less than 1.5 Hz. The extraction unit 12 may further separate a third signal in a third frequency band corresponding to the heartbeat of a person or an animal from the Doppler output signal, and extract extracted information further including the third signal. In this case, the third frequency band is, for example, a frequency greater than 1.5 Hz and equal to or less than 10 Hz.

[0035] The extraction unit 12 may remove noise caused by rubble such as buildings and earth and sand, and noise caused by the surrounding environment, from the Doppler output signal, and separate and extract the first signal, the second signal, and the third signal from the Doppler output signal from which the noise has been removed.

[0036] The extraction unit 12 converts the Doppler output signal from a time function to a frequency function by Fourier transform, fast Fourier transform, or the like. The extraction unit 12 separates the first signal, the second signal, and, if necessary, the third signal from the frequency function to extract extraction information. The extraction unit 12 may convert the first signal, the second signal, and the third signal, which are separated as frequency functions, into a time function by inverse Fourier transform, inverse fast Fourier transform, or the like. In this way, the first signal to the third signal are shown as intensities (amplitudes) on the time axis or frequency axis.

[0037] <Evaluation Section 13> The evaluation unit 13 generates evaluation information by evaluating the extraction information based on the extraction information extracted by the extraction unit 12. The evaluation information includes a respiration evaluation by evaluating whether the first signal is a signal indicating respiration, and a body movement evaluation by evaluating whether the second signal is a signal indicating body movement. The evaluation information may further include a heart rate evaluation by evaluating whether the third signal is a signal indicating a heart rate. The evaluation unit 13 may generate evaluation information by evaluating the extraction information obtained by combining the first signal and the second signal. The evaluation unit 13 may generate evaluation information by evaluating the extraction information obtained by combining the first signal, the second signal, and the third signal.

[0038] The evaluation unit 13 may calculate the respiratory rate based on the first signal and generate a respiratory evaluation including the calculated respiratory rate. The evaluation unit 13 may also calculate the heart rate based on the third signal and generate a heart rate evaluation including the calculated heart rate.

[0039] The evaluation unit 13 may refer to a reference database and generate evaluation information including three or more levels of first correlation between the extracted information and the reference information, as shown in Fig. 5. The evaluation unit 13, for example, refers to the reference database, selects past extracted information that matches or is similar to the extracted information, and calculates the correlation linked to the selected past extracted information as the first correlation. Alternatively, the evaluation unit 13 may use, for example, the reference database as an algorithm of a classifier to calculate the first correlation between the extracted information and the reference information.

[0040] For example, when the reference database shown in Fig. 5 is used, when the first signal of the extracted information matches or is similar to the first signal A, the first correlation degree is calculated as "80%" for the breathing evaluation A, "15%" for the breathing evaluation B, and "1%" for the breathing evaluation C. When the second signal of the extracted information matches or is similar to the second signal A, the first correlation degree is calculated as "60%" for the body movement evaluation A, and "25%" for the body movement evaluation B. When the third signal of the extracted information matches or is similar to the third signal B, the first correlation degree is calculated as "70%" for the heart rate evaluation A, "35%" for the body movement evaluation B, and "5%" for the body movement evaluation C.

[0041] The evaluation unit 13 may generate evaluation information including three or more levels of first correlation between the reference information and the extracted information combining the first signal and the second signal, with reference to a reference database as shown in Fig. 6. For example, when the reference database shown in Fig. 6 is used, when the combination of the first signal and the second signal in the extracted information matches or is similar to the combination of the first signal A and the second signal A, the first correlation of "80%" for evaluation A, "20%" for evaluation B, and "1%" for evaluation C are calculated.

[0042] The evaluation unit 13 may refer to a reference database and generate evaluation information including three or more levels of first correlation between the reference information and the extracted information that combines the first signal, the second signal, and the third signal. For example, when the reference database shown in Fig. 6 is used, when the combination of the first signal, the second signal, and the third signal in the extracted information matches or is similar to the combination of the first signal B, the second signal A, and the third signal A, the first correlation of "60%" for evaluation A, "30%" for evaluation B, and "10%" for evaluation C are calculated.

[0043] Furthermore, the evaluation of the extracted information in the evaluation unit 13 may be performed using artificial intelligence. That is, the artificial intelligence may directly generate a respiration evaluation by evaluating whether the first signal is a signal indicating respiration, and a body movement evaluation by evaluating whether the second signal is a signal indicating body movement. In addition to these, the artificial intelligence may generate a heart rate evaluation by evaluating whether the third signal is a signal indicating a heart rate. In addition, in generating these, a reference database as a learning result may be referenced.

[0044] After calculating the first degree of association, the evaluation unit 13 generates evaluation information including the extracted information, the reference information, and the first degree of association.

[0045] <Output section 14> As shown in Fig. 4, the output unit 14 generates a detection result based on the evaluation information and outputs the detection result. When the evaluation information includes a breathing evaluation in which the first signal is evaluated as a signal indicating breathing and a body movement evaluation in which the second signal is evaluated as a signal indicating body movement, the output unit 14 generates a detection result that a person or animal is present in the target area. When the evaluation information further includes a heart rate evaluation in which the third signal is evaluated as a signal indicating a heart rate, the output unit 14 may generate a detection result that a person or animal is present in the target area.

[0046] The output unit 14 generates a detection result that there is no person or animal in the target area when the evaluation information includes a breathing evaluation that evaluates the first signal as not being a signal indicating breathing, and generates a detection result that there is no person or animal in the target area when the evaluation information includes a body movement evaluation that evaluates the second signal as not being a signal indicating body movement.

[0047] The output unit 14 may also generate a detection result indicating whether or not a person or animal is present in the target area based on evaluation information obtained by evaluating the extraction information obtained by combining the first signal and the second signal. The output unit 14 may also generate a detection result indicating whether or not a person or animal is present in the target area based on evaluation information obtained by evaluating the extraction information obtained by combining the first signal, the second signal, and the third signal.

[0048] The output unit 14 outputs the generated detection result. The output unit 14 may output the detection result to the output section 109 via the I / F 107, or may output the detection result to an arbitrary device via, for example, the I / F 105. FIG. 13 is an external view of the detection device 1 according to the present invention. The output unit 14 may output the detection result by turning on a lighting unit (FIG. 13) configured with an LED light or the like provided in the detection device 1 when the detection result indicates that a person or an animal has been detected. FIG. 14 is a diagram showing LED control in each state of the detection device 1 according to the present invention. It is considered that the detection result is output, for example, in the manner described in FIG. 14.

[0049] Alternatively, for example, a certain threshold may be set for the evaluation result, and in accordance with this, the lighting unit may output a green light (for example, a maintenance time of 2 seconds), a yellow light (for example, a maintenance time of 4 seconds), a red light (for example, a maintenance time of 6 seconds), or a flashing red light (for example, a maintenance time of 8 seconds) in descending order of the probability that a person or animal is in the target area. However, in the case where the probability that a person or animal is in the target area is equal to or higher than a certain probability, for example, a red light or a flashing red light, once the red light or the flashing red light has been turned on, the output of the red light or the flashing red light may be maintained without stopping (for example, until some other operation is performed, such as pressing a reset button). Disaster relief sites are in chaos, and it is possible to ensure that important indications such as a red light or a flashing red light are not overlooked.

[0050] The output unit 14 may further output the extracted information. In this case, the output unit 14 may output the first signal, the second signal, and the third signal as a function of time together with the detection result. The output unit 14 may output position information of the detection device 1, which will be described later, together with the detection result. The output unit 14 may further output the respiratory rate and the heart rate.

[0051] <Input section 15> The input unit 15 receives various information transmitted from the user terminal 2 via the information communication network 4 and the I / F 105, and also receives various information input from the input section 108 via, for example, the I / F 106. In addition, the input unit 15 may receive, for example, extracted information stored in the server 3. The input unit 15 may receive various information via a storage medium such as a portable memory, for example, an SD card. The input unit 15 receives, for example, update data created by a user based on evaluation information, learning data used to update the degree of association, and the like.

[0052] <First location information acquisition unit 16> The first position information acquisition unit 16 uses a device capable of acquiring first position information regarding the position of the detection device 1 by a global positioning system (GPS) or the like. The first position information acquisition unit 16 transmits the first position information of the detection device 1 to the output unit 14. The transmitted first position information is output to the output section 109.

[0053] <Communications Division 17> The communication unit 17 transmits and receives various information such as the Doppler output signal, the extraction information, the evaluation information, the detection result, and the first position information of the detection device 1 to and from other electronic devices. The communication unit 17 is embodied by, for example, Bluetooth (registered trademark), Wi-Fi (registered trademark), a beacon, or the like.

[0054] <Information DB18> The information DB 18 stores a reference database in which previously acquired past extracted information and reference information used for the past extracted information are stored. The information DB 18 stores various information such as extracted information, evaluation information including a first correlation between the extracted information and the reference information, detection results generated based on the evaluation information, and a format for displaying the detection results. The reference database and various information are stored as a database of various information in a storage unit 104 embodied by an HDD, an SSD, or the like. Each of the components 11 to 19 stores various information in the information DB 18 or extracts various information as necessary.

[0055] The reference database stores three or more levels of association between past extracted information and reference information, for example, as shown in Fig. 5. The reference database is formed, for example, by an algorithm that can calculate the association. The past extracted information and reference information each have a plurality of pieces of information, and the relationship between each piece of past information and each piece of reference information is linked by the association.

[0056] For example, the first signal A included in the past extraction information indicates a degree of association of "80%" with the breathing evaluation A included in the reference information, and a degree of association of "15%" with the breathing evaluation B included in the reference information. In other words, the "degree of association" indicates the degree of association between each piece of information, and the higher the degree of association, the stronger the connection between each piece of data.

[0057] For example, as shown in Fig. 6, past extraction information as a combination of a past first signal and a past second signal may be linked to the reference information by the degree of association. For example, past extraction information as a combination of a past first signal, a past second signal, and a past third signal may be linked to the reference information by the degree of association.

[0058] The previously extracted information and the reference information may be stored in the reference database in the form of an image, or may be stored in the form of, for example, a numerical value, a matrix (vector), or a histogram.

[0059] The reference database is constructed using, for example, machine learning. As a machine learning method, for example, deep learning is used. The reference database is constructed using, for example, a neural network, and in this case, the degree of association may be represented by a hidden layer and a weight variable.

[0060] <Updated part 19> For example, when a relationship between past extracted information and reference information is newly acquired, the update unit 19 reflects the relationship in the degree of association. As data to be reflected in the degree of association, for example, update information including extracted information newly acquired by the user and reference information corresponding to the extracted information is used. In addition, as information to be reflected in the degree of association, for example, learning data created by the user based on the judgment result is used.

[0061] <Server 3> The server 3 stores data (database) relating to various types of information. For example, information sent via the information communication network 4 is accumulated in this database. For example, the same information as the information DB 18 is stored in the server 3, and various types of information may be transmitted and received between the server 3 and the detection device 1 via the information communication network 4. For example, a database server on a network may be used as the server 3. The server 3 may be used in place of the storage unit 104 or the information DB 18 described above.

[0062] <User device 2> The user terminal 2 is connected to the detection device 1 by wire or wirelessly, and transmits and receives various information. For example, a smartphone is used as the user terminal 2. The user terminal 2 may also be embodied in any electronic device, such as a mobile phone (mobile terminal), a tablet terminal, a wearable terminal, a personal computer, or an IoT (Internet of Things) device. The user terminal 2 may include, for example, the configuration of the detection device 1.

[0063] <Information and Communication Network 4> The information and communication network 4 (network) is an Internet communication network or the like to which the detection device 1 and the like are connected via communication circuits. The information and communication network 4 may be configured as a so-called optical fiber communication network. Furthermore, the information and communication network 4 is not limited to a wired communication network, and may be realized as a wireless communication network.

[0064] (Embodiment: Operation of the detection system 100) Next, an example of the operation of the detection system 100 in this embodiment will be described. Fig. 7 is a flowchart showing an example of the operation of the detection system 100 in this embodiment. When operating the detection system 100, the following operations may be executed by a computer as a detection program for operating the detection system 100.

[0065] First, the signal acquiring unit 11 irradiates the rubble as the detection target area with an irradiation wave, which is a microwave or a millimeter wave, and acquires a Doppler output signal corresponding to a frequency of a difference value between the frequency of the irradiation wave and the frequency of the reflected wave (signal acquiring step S110). In the signal acquiring step S110, the first position information acquiring unit 16 may acquire the first position information of the detection device 1.

[0066] Next, the extraction unit 12 extracts extracted information including a first signal in a first frequency band corresponding to respiration and a second signal in a second frequency band corresponding to body movement from the Doppler output signal acquired by the signal acquisition unit 11 (extraction step S120). At this time, the extraction unit 12 may extract extracted information further including a third signal in a third frequency band corresponding to heartbeat.

[0067] Next, the evaluation unit 13 generates evaluation information based on the extraction information extracted by the extraction unit 12 (evaluation step S130). The evaluation unit 13 generates evaluation information including a breathing evaluation in which the first signal is evaluated as to whether it is a signal indicating breathing, and a body movement evaluation in which the second signal is evaluated as to whether it is a signal indicating body movement. When the extraction unit 12 acquires extraction information including a third signal, the evaluation unit 13 may generate evaluation information further including a breathing evaluation in which the third signal is evaluated as to whether it is a signal indicating breathing.

[0068] The evaluation unit 13 may calculate the respiratory rate based on the first signal and generate a respiratory evaluation including the calculated respiratory rate. The evaluation unit 13 may also calculate the heart rate based on the third signal and generate a heart rate evaluation including the calculated heart rate.

[0069] The evaluation unit 13 may generate the evaluation information based on the extracted information as a combination of the first signal and the second signal.The evaluation unit 13 may generate the evaluation information based on the extracted information as a combination of the first signal, the second signal, and the third signal.

[0070] Next, the output unit 14 generates a detection result based on the evaluation information generated by the evaluation unit 13, and outputs the detection result to the output section 109 (output step S140). The output unit 14 outputs a detection result such as "There is a person in the rubble" to the output section 109 as shown in FIG.

[0071] In addition to the detection result, the output unit 14 may further output the extracted information (the first signal, the second signal, and the third signal as necessary) and the first position information of the detection device 1 to the output section 109. The output unit 14 may further output the respiratory rate and the heart rate.

[0072] This completes the operation of the detection system 100 in this embodiment. In the above-described embodiment, the first position information of the detection device 1 is acquired by the first position information acquisition unit 16 in the signal acquisition step S110, but in the present invention, it may be acquired in any one of the steps of the extraction step S120, the evaluation step S130, and the output step S140.

[0073] According to this embodiment, extracted information including a first signal in a first frequency band corresponding to breathing and a second signal in a second frequency band corresponding to body movement is extracted from the Doppler output signal, evaluation information is generated by evaluating the extracted information, and a detection result of a person, an animal, or the like is generated based on the evaluation information. At this time, the detection result is generated based on a breathing evaluation and a body movement evaluation. This makes it possible to detect a person or an animal taking breathing and body movement into consideration. Therefore, it is possible to detect a person or an animal with high accuracy.

[0074] Moreover, according to this embodiment, since the detection result is generated based on the evaluation information, operation is possible without requiring specialized knowledge. Therefore, it is possible to provide a detection system 100 with excellent operability. Furthermore, according to this embodiment, a Doppler output signal is used by a Doppler sensor or the like. Therefore, it is possible to provide an inexpensive, small, lightweight detection system 100.

[0075] Furthermore, according to this embodiment, a person or an animal can be detected within a radius of about 5 m from the detection device 1. This allows a person or an animal to be easily detected without using a large machine, which can be very useful in rescue operations.

[0076] According to this embodiment, the signal acquisition unit 11 irradiates the rubble with microwaves. This makes it possible to detect people or animals buried in the rubble. Therefore, this can be used in disaster sites where buildings and earth and sand have collapsed.

[0077] According to this embodiment, the extraction unit 12 extracts extraction information further including a third signal in a third frequency band corresponding to a heartbeat, and the evaluation information includes a heartbeat evaluation that evaluates whether the third signal is a signal indicating a heartbeat. This makes it possible to detect a person or an animal while taking into account the influence of the heartbeat. This makes it possible to further improve the accuracy of detecting a person or an animal.

[0078] According to this embodiment, the extraction unit 12 removes noise caused by debris and the surrounding environment from the Doppler output signal and extracts the extracted information including the first signal and the second signal. This makes it possible to separate the first signal and the second signal with higher accuracy. This makes it possible to further improve the accuracy of detecting a person or an animal.

[0079] According to this embodiment, the communication unit 17 for transmitting and receiving the detection result via wifi, bluetooth, etc. is provided. This allows the detection result to be reported to disaster relief teams and the like who are conducting full-scale rescue activities. This allows rescue activities for people or animals to be carried out more efficiently.

[0080] According to this embodiment, the first location information acquisition unit 16 acquires the first location information of the detection device 1. This makes it possible to immediately grasp the location where a person or animal is detected.

[0081] According to this embodiment, the system can be used not only for rubble but also indoors and inside a vehicle. This makes it possible to detect people or animals inside a vehicle or indoors. This makes it possible to use the system to watch over elderly people and animals inside a vehicle. It can also be used to prevent children and animals (pets, etc.) from being left behind inside a car or bus.

[0082] (Embodiment: Modification of the Operation of the Detection System 100) Next, a modified example of the operation of the detection system 100 in this embodiment will be described. Fig. 8 is a flowchart showing a modified example of the operation of the detection system 100 in this embodiment. The following mainly describes the differences from the example of the operation described above.

[0083] First, a signal acquisition step S110 and an extraction step S120 are performed.

[0084] Next, the evaluation unit 13 refers to the reference database and acquires evaluation information including the first correlation between the extracted information and the reference information (evaluation step S130). The evaluation unit 13 acquires the extracted information from the signal acquisition unit 11 or the information DB 18, and acquires the reference database from the information DB 18.

[0085] The evaluation unit 13 can calculate the first correlation between the extracted information and the reference information by referring to the reference database. The evaluation unit 13, for example, selects past extracted information that matches, partially matches, or is similar to the extracted information, and calculates the first correlation based on the corresponding correlation. In detail, the evaluation unit 13 selects a first signal of past extracted information that matches, partially matches, or is similar to the first signal, and calculates the first correlation based on the corresponding correlation, and selects a second signal of past extracted information that matches, partially matches, or is similar to the second signal, and calculates the first correlation based on the corresponding correlation. The evaluation unit 13 may calculate the first correlation by using, for example, the reference database as an algorithm of a classifier. The evaluation unit 13 may store the calculated first correlation and the acquired evaluation information in the information DB 18.

[0086] The evaluation unit 13 may select a combination of a past first signal and a past second signal that matches, partially matches, or is similar to the combination of the first signal and the second signal, and calculate the first degree of association based on the corresponding degree of association.The evaluation unit 13 may select a combination of a past first signal, a past second signal, and a past third signal that matches, partially matches, or is similar to the combination of the first signal, the second signal, and the third signal, and calculate the first degree of association based on the corresponding degree of association.

[0087] <Output Step S140> Next, the output unit 14 generates a detection result based on the evaluation information and outputs the detection result (output step S140). The output unit 14 obtains the evaluation information from the evaluation unit 13 or the information DB 18, and may obtain a format for displaying the detection result from the information DB 18, for example.

[0088] The output unit 14 generates the detection result based on the evaluation information, for example, by referring to a format. The output unit 14 generates the detection result in a text format or the like.

[0089] Thereafter, the output unit 14 outputs the detection result. The output unit 14 outputs the evaluation result to the output portion 109. The output unit 14 may output the detection result based on the result of comparing the first correlation degree with a preset notification reference value, for example. In this case, when the notification reference value is set to "90% or more", for example, the detection result is output only when the first correlation degree is 90% or more. That is, the notification reference value is an arbitrary threshold, and the condition of being equal to or greater than the notification reference value or being less than the notification reference value can be arbitrarily set. In addition, when setting the notification reference value, a first notification reference value for comparing the first correlation degree with the first signal, a second notification reference value for comparing the first correlation degree with the second signal, and a third notification reference value for comparing the first correlation degree with the third signal may be set. In this case, the first notification reference value, the second notification reference value, and the third notification reference value may be set to the same value or different values.

[0090] <Update step S150> Thereafter, when the update unit 19 acquires a new relationship between, for example, previously extracted information and reference information, the update unit 19 may reflect this relationship in the degree of association (update step S150).

[0091] This completes the operation of the detection system 100 in this embodiment. It is optional whether or not to perform the above-mentioned update step S150.

[0092] According to this embodiment, the evaluation unit 13 refers to the reference database and acquires evaluation information including a first correlation between the extraction information and the reference information. Therefore, the reference information is linked to the extraction information, and a quantitative detection result of a person or an animal can be acquired based on the extraction information. This makes it possible to improve the accuracy of the detection result.

[0093] Moreover, according to the present embodiment, the extracted information is evaluated based on the degree of association (first degree of association) set to three or more stages. The degree of association can be described, for example, by a numerical value from 0 to 100%, but is not limited thereto and may be configured by any stage as long as it can be described by a numerical value of three or more stages.

[0094] Based on such correlation, it is possible to display the reference information selected as candidates for the detection result for the extracted information in order of high or low correlation. By displaying in order of correlation, the user can prioritize evaluation of detection results that are likely to contain a person or animal. On the other hand, since detection results that are likely to contain a person or animal can be displayed without excluding them, the user can evaluate them without missing them.

[0095] In addition to the above, according to this embodiment, even when the correlation is extremely low, such as 1%, it can be evaluated without being overlooked. Even if the reference information has an extremely low correlation, it shows a slight sign of connection, making it possible to suppress oversights and misidentifications.

[0096] Furthermore, according to this embodiment, the output unit 14 outputs the detection result based on the result of comparing a preset notification reference value with the first correlation degree. Therefore, it is possible to control whether or not to output the detection result depending on the setting condition of the notification reference value. This allows the detection result to be output only when necessary, and the user, etc. does not need to constantly check the detection result. Therefore, it is possible to reduce the workload of the user, etc.

[0097] Moreover, according to this embodiment, the output unit 14 outputs the detection result based on the result of comparing the first correlation degree with the preset first notification reference value, second notification reference value, and third notification reference value. Therefore, it is possible to control whether or not to output the detection result according to the setting conditions of the first notification reference value to the third notification reference value. As a result, it is possible to weight the first signal to the third signal and output the detection result only when it is necessary, and the user, etc. does not need to constantly check the detection result. Therefore, it is possible to reduce the workload of the user, etc.

[0098] Furthermore, according to this embodiment, when a relationship between previously extracted information and reference information is newly acquired, the update unit 19 reflects the relationship in the degree of association. Therefore, the degree of association can be easily updated, and the accuracy of the evaluation can be improved.

[0099] In the detection system 100 according to the first embodiment, the extraction unit 12 extracts the extraction information including the first signal and the second signal, but the extraction unit 12 may extract either the first signal or the second signal and use this as the extraction information. That is, such a detection system is a detection system for detecting an object, and includes a signal acquisition means for irradiating an irradiation wave, which is a microwave or a millimeter wave, and acquiring a Doppler output signal corresponding to a frequency of a difference value between the frequency of the irradiation wave and the frequency of the reflected wave, an extraction means for extracting, from the Doppler output signal, extraction information including a first signal in a first frequency band corresponding to respiration or a second signal in a second frequency band corresponding to body movement, an evaluation means for generating evaluation information by evaluating the extraction information based on the extraction information, and an output means for generating a detection result based on the evaluation information and outputting the detection result.

[0100] Second embodiment In the detection system 100 according to the first embodiment, extracted information includes a first signal in a first frequency band corresponding to the breathing of a human or animal and a second signal in a second frequency band corresponding to the body movement of the human or animal. Alternatively, extracted information including a signal in a frequency band corresponding to continuous percussion sounds may be extracted.

[0101] Specifically, the detection system according to the second embodiment is a detection system for detecting an object, The device comprises a signal acquiring means for irradiating an irradiation wave which is a microwave or a millimeter wave, and acquiring a Doppler output signal corresponding to a frequency value of the difference between the frequency of the irradiation wave and the frequency of the reflected wave, an extracting means for extracting extracted information including a signal in a frequency band corresponding to continuous hitting sounds from the Doppler output signal, an evaluating means for generating evaluation information by evaluating the extracted information based on the extracted information, and an outputting means for generating a detection result based on the evaluation information and outputting the detection result.

[0102] For example, the sound of continuous tapping on a structure such as a steel shelf can be easily detected by various sensors such as a Doppler sensor as the signal acquisition unit 11 described above. Meanwhile, at the scene of a disaster rescue, rescuers may call out to a person buried under rubble, "Please tap on things around you to make noise." Therefore, instead of the breathing or body movement of a person or animal, continuous tapping sounds are extracted and an evaluation is performed based on the extracted sounds. All other configurations are the same as those of the detection system 100 according to the first embodiment. This allows a person or animal buried under rubble to be detected with high accuracy.

[0103] Note that "continuous hitting sounds" does not refer to a single "thump" sound, but rather to a series of multiple hits, such as "thump, thump, thump, thump," spaced apart by a certain amount of intervals. However, there is no particular limit to the intervals, and they do not have to be exactly equal intervals. There is also no particular limit to the number of hits.

[0104] The material of the object to be struck is not particularly limited, and may be, for example, metal such as steel, wood, or liquid (such as a puddle). The location is also not particularly limited, and may be a shelf, floor, wall, etc.

[0105] Third embodiment Next, a detection system 100 according to a third embodiment will be described.

[0106] 9 is a diagram showing an example of an overall configuration of a detection system 100 in the third embodiment. The detection system 100 is used to detect a person. The detection system 100 is used to detect a person in a room Q that is partitioned off in a house, a hospital, a car, or the like.

[0107] The detection device 1 is installed by a window in a room Q. The server 6 prestores registration information for identifying registered users, namely, patient A, visitor B, and nurse C, and users are registered by an application or the like on the user terminal 2. The server 6 does not store registration information for an unregistered user D.

[0108] Patient A has a user terminal 2 serving as a storage medium 20 storing identification information for identifying patient A. Visitor B has a user terminal 2 serving as a storage medium 20 storing identification information for identifying visitor B. Nurse C has an ID card 3 with an RFID sensor serving as a storage medium 20 storing identification information for identifying nurse C. Unregistered user D does not have a storage medium.

[0109] The registration information has the same content as the identification information, and includes, for example, name, age, occupation, address, and the like.

[0110] Fig. 10 is a schematic diagram showing an example of the functions of the detection device 1 of the detection system 100 in the third embodiment. The detection device 1 in the third embodiment differs from the detection device 1 in the first embodiment in that it further includes a search unit 21 and a discrimination result generating means 22. The functions shown in Fig. 9 are realized by the CPU 101 executing a program stored in the storage unit 104 or the like, using the RAM 103 as a working area. Furthermore, each of the components 11 to 19, 21 to 22 may be controlled by, for example, artificial intelligence.

[0111] <Search section 21> When a person is detected in the detection result output by the output unit 14, the search unit 21 may search for the storage medium 20 in which identification information for identifying whether the person is a registered user is stored. The storage medium 20 may be embodied as a user terminal 2 held by a user or as an ID card 3 with an RFID sensor, in which identification information for identifying a registered user is stored.

[0112] The search unit 21 transmits a search wave such as a beacon for searching the storage medium 20 and receives the reflected wave.

[0113] <Discrimination result generation unit 22> The discrimination result generation unit 22 acquires the identification information stored in the storage medium 20 searched by the search unit 21, and based on the acquired identification information, refers to the registration information stored in the server 6 and generates a discrimination result determining whether the person detected in the detection result output by the output unit 14 is a registered user.

[0114] <Communications Division 17> When the person is a registered user in the discrimination result discriminated by the discrimination result generating unit 22, the communication unit 17 may notify, for example, the user terminal 2 of another registered user. For example, when the person is a registered user in the discrimination result discriminated by the discrimination result generating unit 22, the communication unit 17 may notify, for example, the user terminal 2 of a family member of patient A, who is another registered user.

[0115] When the discrimination result generated by the discrimination result generating unit 22 indicates that the person is not a registered user, the communication unit 17 may notify, for example, the user terminal 2 of another registered user. For example, when the discrimination result generated by the discrimination result generating unit 22 indicates that the person is an unregistered user D, the communication unit 17 may notify, for example, the user terminal 2 of another registered user, such as a family member of patient A or a nurse C. When the discrimination result generated by the discrimination result generating unit 22 indicates that the person is not a registered user, the communication unit 17 may be set to sound a warning such as an alarm.

[0116] According to this embodiment, when a person is detected in the detection results, the system includes a search unit 21 that searches for a storage medium storing identification information for identifying whether the person is a registered user, a server 6 that stores registration information related to registered users, and a discrimination result generation unit 22 that acquires the identification information stored in the storage medium 20 searched by the search unit 21, and based on the acquired identification information, refers to the registration information stored in the server 6 and generates a discrimination result that determines whether the person detected in the detection results output by the output unit 14 is a registered user.

[0117] This allows, for example, a setting so that when visitor B enters room Q where patient A is hospitalized, other registered users are notified. This allows the implementation of a monitoring system that manages the entry and exit of registered users other than patient A to room Q while protecting the privacy of patient A.

[0118] Also, for example, when an unregistered user D enters a room Q where a patient A is hospitalized, it can be set to notify other registered users. Therefore, it can be realized as a monitoring system that prevents the intrusion of suspicious individuals while protecting the privacy of the patient A.

[0119] (Fourth embodiment) Next, a detection system 100 according to a fourth embodiment will be described.

[0120] 11 is a diagram showing an example of an overall configuration of a detection system 100 in the fourth embodiment. The detection system 100 is used to detect people. The detection system 100 is used to detect people in a plurality of rooms Q that are partitioned off from one another in a house, a hospital, a car, or the like.

[0121] The detection devices 1 are installed near the windows of rooms P, Q, and R, which are separated by a wall. The server 6 pre-stores registration information for identifying registered users, namely, patient A, visitor B, and nurse C, and users are registered by an application on the user terminal 2, etc. The server 6 does not store registration information for an unregistered user D.

[0122] Patient A has a user terminal 2 serving as a storage medium 20 storing identification information for identifying patient A. Visitor B has a user terminal 2 serving as a storage medium 20 storing identification information for identifying visitor B. Nurse C has an ID card 3 with an RFID sensor serving as a storage medium 20 storing identification information for identifying nurse C. Unregistered user D does not have a storage medium.

[0123] The registration information has the same content as the identification information, and includes, for example, name, age, occupation, address, and the like.

[0124] Fig. 12 is a schematic diagram showing an example of the functions of the detection device 1 of the detection system 100 in the fourth embodiment. The detection device 1 in the fourth embodiment differs from the detection device 1 in the third embodiment in that it further includes a second position information generating unit 23. The functions shown in Fig. 12 are realized by the CPU 101 executing a program stored in the storage unit 104 or the like, using the RAM 103 as a working area. Furthermore, each of the components 11 to 19, 21 to 23 may be controlled by, for example, artificial intelligence.

[0125] <Signal Acquisition Unit 11> The detection device 1 includes a plurality of signal acquiring units 11. The plurality of signal acquiring units 11 irradiate irradiation waves at the same irradiation time, and each signal acquiring unit 11 acquires the intensity of the Doppler output signal and the acquisition time at which the Doppler output signal was acquired.

[0126] <First location information acquisition unit 16> In the detection device 1, the first position information acquisition unit 16 acquires first position information related to the position of each signal acquisition unit 11. For example, the first position acquisition information may be information related to the latitude and longitude of the detection devices 1 installed near the windows of the living room P, the living room Q, and the living room R, or may be information related to the relationship between the distance and direction of each detection device 1.

[0127] <Second location information generation unit 23> The second position information generation unit 23 generates second position information regarding the position of the target to be detected based on the intensity of each Doppler output signal, the acquisition time of each Doppler output signal, and the first position information in each signal acquisition unit 11.

[0128] The second position information generation unit 23 generates second position information regarding the position of the object to be detected based on the intensity of the Doppler output signal acquired by the detection devices 1 installed near the windows in rooms P, Q, and R, respectively, the acquisition time when the Doppler output signal was acquired, and the first position information in each signal acquisition unit 11.

[0129] The second position information generating unit 23 generates second position information on the position of the target to be detected, for example, from the attenuation rate of the intensity of the Doppler output signal relative to the irradiated wave, the difference in acquisition time, and the relationship with the first position information. The second position information may be the latitude and longitude of the target to be detected, or may be, for example, the distance and angle from one detection device 1.

[0130] <Extraction part 12> The extraction unit 12 extracts the extraction information including the second location information.

[0131] <Evaluation Section 13> The evaluation unit 13 generates evaluation information based on the extracted information including the second location information.

[0132] According to this embodiment, the device includes a plurality of signal acquisition units 11, a first position information acquisition unit 16 that acquires first position information regarding the position of each signal acquisition unit 11, and a second position information generation unit 23 that generates second position information regarding the position of the target to be detected based on the first position information acquisition unit 16. The plurality of signal acquisition units 11 irradiate the irradiation wave irradiated by each signal acquisition unit 11 at the same irradiation time, and acquire the intensity of the Doppler output signal and the acquisition time at which the Doppler output signal was acquired in each signal acquisition unit 11. The second position information generation unit 23 generates second position information based on the intensity of each Doppler output signal, the acquisition time of each Doppler output signal, and the first position information in each signal acquisition unit 11. The evaluation unit 13 generates evaluation information based on extracted information including the second position information.

[0133] This makes it possible to generate a detection result taking into consideration the second position information on the position of the person to be detected, thereby making it possible to grasp the position of the person to be detected.

[0134] The reference database may store three or more levels of association between the reference information and past extracted information including the past second location information.

[0135] According to this embodiment, the evaluation unit 13 refers to the reference database and acquires evaluation information including the first correlation between the extracted information and the reference information. Therefore, the reference information is linked to the extracted information taking into account the second location information, and a quantitative detection result of a person or an animal can be acquired based on the extracted information. This makes it possible to improve the accuracy of the detection result.

[0136] The detection device 1 may be configured to detect body movement, breathing, and heart rate when the signal of each frequency band extracted from the Doppler output signal exceeds a predetermined threshold value a predetermined number of times in succession, and not detect body movement, breathing, or heart rate when the signal does not exceed the predetermined threshold value a predetermined number of times in succession. For example, the detection device 1 may be configured to turn on a breathing detection flag and evaluate as "breathing present" when a first signal in a first frequency band corresponding to breathing exceeds a predetermined threshold value five times in succession, and turn off the breathing detection flag and evaluate as "breathing absent" when breathing is not detected 32 times in succession. This configuration may be configured similarly for body movement detection and heart rate detection.

[0137] The detection device 1 may be configured to display the detected signal in multiple colors, such as blinking the LED blue when breathing is detected, blinking red when body movement is detected, and blinking green when a heartbeat is detected. In this case, it may be configured to light up in a different color, such as a yellow dot, when no detection is detected (FIGS. 13 and 14).

[0138] The detection device 1 can be configured to operate in a plurality of operation modes. For example, three operation modes, a normal mode, a disaster mode, and a test mode, can be provided. In the test mode, the LED is not controlled based on body movement, respiration, and heart rate determination, and the LED can be configured to receive a control command for the LED and to light or blink in response to the received control command so that the LED can be tested. The detection frequency band and / or threshold value described above can be configured to be different between the normal mode and the disaster mode.

[0139] Although the embodiments of the present invention have been described, each embodiment is presented as an example and is not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and spirit of the invention, and are included in the invention and its equivalents described in the claims. [Explanation of symbols]

[0140] 100: Detection system 1: Detection device 2: User terminal 3: Server 4: Public communication network 10: Housing 11: Signal acquisition section 12:Extraction part 13: Evaluation section 14: Output section 15: Input section 16: 1st location information acquisition unit 17: Communications Department 18: Information DB 19: Update section 20:Storage medium 21: Search Department 22:Discrimination result generation section 23:Second location information generation section 101: CPU 102: ROM 103: RAM 104: Storage section 105: Interface 106: Interface 107: Interface 108: Input section 109: Output part 110: Internal bus S110: Signal acquisition step S120: Extraction step S130: Evaluation step S140: Output step S150: Update step

Claims

1. 1. A detection system for detecting an object, comprising: a signal acquiring means for irradiating an irradiation wave, which is a microwave or a millimeter wave, and acquiring a Doppler output signal corresponding to a frequency of a difference value between the frequency of the irradiation wave and the frequency of the reflected wave; an extraction means for extracting extracted information including a first signal in a first frequency band corresponding to respiration and a second signal in a second frequency band corresponding to body movement from the Doppler output signal; an evaluation means for generating evaluation information by evaluating the extracted information based on the extracted information; and an output unit that generates a detection result based on the evaluation information and outputs the detection result. Detection system.

2. 1. A detection system for detecting an object, comprising: a signal acquiring means for irradiating an irradiation wave, which is a microwave or a millimeter wave, and acquiring a Doppler output signal corresponding to a frequency of a difference value between the frequency of the irradiation wave and the frequency of the reflected wave; an extraction means for extracting extracted information including a first signal in a first frequency band corresponding to respiration or a second signal in a second frequency band corresponding to body movement from the Doppler output signal; an evaluation means for generating evaluation information by evaluating the extracted information based on the extracted information; and an output unit that generates a detection result based on the evaluation information and outputs the detection result. Detection system.

3. The extraction means extracts the extracted information further including a third signal in a third frequency band corresponding to a heart rate. The detection system of claim 1 .

4. The acquiring means irradiates the rubble with the irradiation wave, which is a microwave.

3. A detection system according to claim 1 or 2.

5. a reference database in which past extracted information including a past first signal and a past second signal, reference information used to evaluate the past extracted information, and a correlation degree between the past extracted information and the reference information of three or more levels are stored; The evaluation means refers to the reference database and generates the evaluation information including a first correlation degree of three or more levels between the extracted information and the reference information. The detection system of claim 4.

6. The reference database is constructed by machine learning using the previously extracted information and the reference information. The detection system of claim 5 .

7. The method further includes an update unit that, when a relationship between the previously extracted information and the reference information is newly acquired, causes the relationship to be reflected in the degree of association. The detection system of claim 5 .

8. A plurality of the signal acquisition means; a first position information acquiring means for acquiring first position information relating to a position of each of the signal acquiring means; a second position information generating means for generating second position information relating to a position of an object to be detected based on the first position information acquiring means, The plurality of signal acquisition means irradiate the irradiation wave by each of the signal acquisition means at the same irradiation time, and acquire the intensity of the Doppler output signal and the acquisition time at which the Doppler output signal was acquired in each of the signal acquisition means; the second position information generating means generates the second position information based on the intensity of each of the Doppler output signals, the acquisition time of each of the Doppler output signals, and the first position information in each of the signal acquiring means; The evaluation means generates evaluation information based on the extracted information including the second position information. The detection system of claim 7.

9. 1. A detection system for detecting an object, comprising: a signal acquiring means for irradiating an irradiation wave, which is a microwave or a millimeter wave, and acquiring a Doppler output signal corresponding to a frequency of a difference value between the frequency of the irradiation wave and the frequency of the reflected wave; an extraction means for extracting extracted information including a signal in a frequency band corresponding to continuous hitting sounds from the Doppler output signal; an evaluation means for generating evaluation information by evaluating the extracted information based on the extracted information; and an output unit that generates a detection result based on the evaluation information and outputs the detection result. Detection system.

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