Inspection system and inspection method

Abstract

To provide an inspection system and an inspection method for shortening waiting time for inspection of belongings.SOLUTION: In an inspection system 10 including a server, and a detection device and a plurality of identification information acquisition devices at an inspection site, any of the server, the detection device, and the identification information acquisition device includes an acquisition unit 11 that acquires material information including at least one of individual-specific information unique to each person to be inspected and environmental information indicating an environmental state value that changes for each inspection timing, and a determination unit 12 that determines, on the basis of the material information, content of the inspection for each person to be inspected and / or for each inspection timing.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to an inspection system and an inspection method. [Background technology]

[0002] Patent document 1 discloses that the type of entrant (employee, entering / leaving contractor, prohibited entry, previous visitor) is determined based on an image generated by photographing the entrant, and the entrance process to be performed on the entrant is determined based on the result of the determination.

[0003] Patent Document 2 discloses detecting the degree of congestion at a boarding gate, and changing the processing speed of authentication processing for a person passing through the boarding gate according to the detected degree of congestion. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2004-126829 A [Patent Document 2] International Publication No. 2015 / 136938 Summary of the Invention [Problem to be solved by the invention]

[0005] For the purpose of ensuring safety, inspections such as searches of personal belongings are carried out at various locations. It is hoped that the waiting time for these inspections can be reduced. An object of the present invention is to reduce the waiting time for inspections using a novel method. [Means for solving the problem]

[0006] According to the present invention, An acquisition means for acquiring material information including at least one of individual specific information specific to each test subject and environmental information indicating an environmental state value that changes at each test timing; A determination means for determining the content of the test for each test subject and / or for each test timing based on the material information; An inspection system is provided having:

[0007] Further, according to the present invention, The computer Acquire material information including at least one of individual specific information specific to each test subject and environmental information indicating an environmental state value that changes at each test timing; There is provided an inspection method for determining the contents of an inspection for each of the inspection subjects and / or for each inspection timing based on the material information. Effect of the Invention

[0008] According to the present invention, the waiting time for an examination can be shortened. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram illustrating an example of the configuration of an inspection system according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a diagram illustrating an example of a hardware configuration of the device according to the present embodiment. [Diagram 3] FIG. 2 is a diagram showing an example of a functional block diagram of the inspection system according to the present embodiment. [Figure 4] FIG. 2 is a diagram illustrating an example of an electromagnetic wave transmitting / receiving unit according to the present embodiment. [Diagram 5] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 6] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 7] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 8] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 9] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 10]FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 11] 4 is a flowchart showing an example of a process flow of the inspection system of the present embodiment. [Figure 12] FIG. 2 is a diagram showing an example of a functional block diagram of the inspection system according to the present embodiment. [Figure 13] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 14] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 15] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 16] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 17] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 18] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 19] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 20] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 21] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 22] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 23] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 24] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Diagram 25] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 26] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 27] FIG. 2 is a diagram illustrating an example of information processed by the inspection system of the present embodiment. [Figure 28] FIG. 1 is a diagram illustrating an example of the configuration of an inspection system according to an embodiment of the present invention. [Figure 29] FIG. 1 is a diagram illustrating an example of the configuration of an inspection system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, embodiments of the present invention will be described with reference to the drawings. In all the drawings, the same components are given the same reference numerals and the description will be omitted as appropriate.

[0011] The testing system of the present invention acquires material information including at least one of "personal information specific to each test subject" and "environmental information indicating environmental state values ​​that change at each test timing", and determines the content of the test for each test subject and / or each test timing based on the material information. Hereinafter, embodiments of the testing system of the present invention will be described in detail. The outline of each embodiment is as follows.

[0012] In the first embodiment, the inspection system determines the contents of the possession inspection for each inspection subject based on individual specific information indicating the group to which the inspection subject belongs. In the second embodiment, the testing system determines the type of test to be performed for each test subject based on individual specific information indicating the group to which the test subject belongs. In the third embodiment, the inspection system determines the contents of the possession inspection for each test subject based on individual-specific information relating to the individual test subject. In the fourth embodiment, the testing system determines the type of test to be performed for each test subject based on individual-specific information relating to the individual test subject. In the fifth embodiment, the inspection system determines the contents of the possession inspection for each inspection timing based on the environmental information. In the sixth embodiment, the inspection system determines the type of inspection to be performed for each inspection timing based on the environmental information. In the seventh embodiment, the inspection system determines the content of the possession inspection or the type of inspection to be performed for each inspection timing and each inspection subject based on individual-specific information and environmental information.

[0013] <First embodiment> "overview" As shown in Fig. 1, the inspection system 10 of this embodiment includes a server 1, a detection device 2, and an individual specific information acquisition device 3. The detection device 2 and the individual specific information acquisition device 3 are installed in any facility where a possession inspection is required. Examples of the facility include, but are not limited to, buildings, companies, amusement facilities, airports, stations, etc. The installation location of the server 1 is not particularly limited.

[0014] The detection device 2 executes a process of detecting the object to be detected from the test subject based on a signal of a reflected electromagnetic wave with a wavelength of 30 micrometers or more and 1 meter or less. The individual specific information acquisition device 3 acquires individual specific information indicating the group to which the test subject belongs from the test subject before the above process is executed by the detection device 2. The server 1 determines the contents of the possession inspection for each test subject based on the individual specific information. For example, the server 1 determines whether or not to execute a possession inspection and the type of object to be detected for each test subject based on the individual specific information. Then, the server 1 executes a predetermined process so that the possession inspection for each test subject has the determined contents.

[0015] According to the inspection system 10 of the present embodiment, it is possible to perform a possession inspection of each of a plurality of subjects, with the contents appropriate to the individual's unique information. For example, for a person who has a low need for a possession inspection, such as a police officer or a child, it is possible to not perform a possession inspection or to reduce the types of objects to be detected. On the other hand, for a person who has a high need for a possession inspection, it is possible to perform a possession inspection or to increase the types of objects to be detected. In this way, by adjusting the inspection contents according to the necessity of the possession inspection, the possession inspection becomes more efficient and the waiting time for the inspection is shortened.

[0016] "Hardware Configuration" Next, an example of the hardware configuration of the inspection system 10 will be described. Fig. 2 is a diagram showing an example of the hardware configuration of the inspection system 10. Each functional unit of the inspection system 10 is realized by any combination of hardware and software, centering on a CPU (Central Processing Unit) of any computer, memory, programs loaded into the memory, a storage unit such as a hard disk for storing the programs (programs stored beforehand at the stage of shipping the device, as well as programs downloaded from storage media such as a CD (Compact Disc) or a server on the Internet, can be stored), and a network connection interface. Those skilled in the art will understand that there are various variations in the realization method and device.

[0017] As shown in Fig. 2, the inspection system 10 has a processor 1A, a memory 2A, an input / output interface 3A, a peripheral circuit 4A, and a bus 5A. The peripheral circuit 4A includes various modules. The inspection system 10 does not have to have the peripheral circuit 4A. Note that the inspection system 10 may be composed of multiple devices that are physically and / or logically separated. When composed of multiple devices that are physically and / or logically separated, each of the multiple devices can have the above hardware configuration.

[0018] The bus 5A is a data transmission path for the processor 1A, memory 2A, peripheral circuit 4A, and input / output interface 3A to transmit and receive data to each other. The processor 1A is an arithmetic processing device such as a CPU or a GPU (Graphics Processing Unit). The memory 2A is a memory such as a RAM (Random Access Memory) or a ROM (Read Only Memory). The input / output interface 3A includes an interface for acquiring information from an input device, an external device, an external server, an external sensor, an electromagnetic wave transmitting / receiving device, etc., and an interface for outputting information to an output device, an external device, an external server, an electromagnetic wave transmitting / receiving device, etc. Examples of the input device include a keyboard, a mouse, a microphone, etc. Examples of the output device include a display, a speaker, a printer, a mailer, etc. The processor 1A can issue commands to each module and perform calculations based on the results of those calculations.

[0019] "Function Configuration" Next, a description will be given of the functional configuration of the inspection system 10. An example of a functional block diagram of the inspection system 10 is shown in Fig. 3. As shown in the figure, the inspection system 10 has an acquisition unit 11, a determination unit 12, a detection unit 13, an electromagnetic wave transmission / reception unit 14, and a storage unit 15.

[0020] These functional units are provided in any one of the server 1, the detection device 2, and the individual specific information acquisition device 3 in Fig. 1. There is no particular restriction as to which device has each functional unit, and various patterns can be adopted. For example, the acquisition unit 11 may be realized by the server 1 and the individual specific information acquisition device 3, the electromagnetic wave transmission / reception unit 14 may be realized by the detection device 2, the determination unit 12 and the memory unit 15 may be realized by the server 1, and the detection unit 13 may be realized by the server 1 or the detection device 2. The configuration of each functional unit will be described below.

[0021] The electromagnetic wave transmitting / receiving unit 14 irradiates electromagnetic waves (e.g., microwaves, millimeter waves, terahertz waves, etc.) with a wavelength of 30 micrometers or more and 1 meter or less toward the subject of inspection who is present in a predetermined area, and receives the reflected waves. The electromagnetic wave transmitting / receiving unit 14 is, for example, a radar. The electromagnetic wave transmitting / receiving unit 14 can be configured using any technology. For example, as in the example of FIG. 4, the electromagnetic wave transmitting / receiving unit 14 may be a sensor panel configured with a radar in which multiple antenna elements are arranged. Note that the panel is just one example, and the electromagnetic wave transmitting / receiving unit 14 may be configured in other ways, such as a gate through which the subject of inspection passes, or a booth into which the subject of inspection enters.

[0022] The detection unit 13 performs a detection process to detect an abnormal state based on a signal of a reflected wave received by the electromagnetic wave transmission / reception unit 14. In this embodiment, the abnormal state is a state in which a person present in a predetermined area is carrying a preset detection object. The detection object is, for example, an object that is prohibited from being brought in, and examples of the detection object include, but are not limited to, a gun, a knife, a camera, a plastic bottle, etc. An example of the judgment process will be described below.

[0023] -First judgment processing example- In this example, the detection unit 13 creates a transmission image based on the signal of the reflected wave received by the electromagnetic wave transmission / reception unit 14. Then, the detection unit 13 detects the detection object from the transmission image based on the shape of the object that appears in the transmission image. When the detection object is detected from the transmission image, it is determined that the subject in the specified area is carrying the detected detection object.

[0024] Through advance preparation, feature amounts of the shapes of the respective objects are generated and registered in the inspection system 10. The detection unit 13 detects the object to be detected from the transmission image based on a result of matching between feature amounts of the shape of the object to be detected and feature amounts of the shape appearing in the transmission image. These processes by the detection unit 13 may be realized by using an estimation model generated by machine learning based on teacher data consisting of transmission images and labels of the multiple objects, or may be realized by template matching.

[0025] -Second judgment processing example- In this example, the detection unit 13 judges whether the subject in the predetermined area is carrying the detection object based on a feature (reflected wave feature) that appears in the reflected wave signal received by the electromagnetic wave transmission / reception unit 14. When a reflected wave feature that is specific to the detection object is detected from the reflected wave signal, it is judged that the subject in the predetermined area is carrying the detected detection object.

[0026] Through advance preparation, reflected wave features of each of a plurality of objects are generated and registered in the inspection system 10. The detection unit 13 detects reflected wave features specific to the object from the reflected wave signal based on a comparison result between the reflected wave features of the object and features appearing in the reflected wave signal. These processes by the detection unit 13 may be realized by using an estimation model generated by machine learning based on training data consisting of the reflected wave signals and labels of a plurality of objects, or may be realized by template matching.

[0027] The detection unit 13 can output the detection result via a predetermined output device (display, speaker, warning lamp, projection device, etc.). The output device may be installed, for example, at the inspection site, and may be configured to present predetermined information to the person being inspected or the manager who manages the inspection. Furthermore, the detection unit 13 may change the output mode of the output device depending on the contents of the detection result (whether or not the object to be detected has been detected). There are various ways of outputting, and any means can be adopted in this embodiment.

[0028] The acquisition unit 11 acquires individual specific information specific to each test subject before a test (the above-mentioned test realized by the detection unit 13 and the electromagnetic wave transmission / reception unit 14) is performed on the test subject. The individual specific information in this embodiment is information indicating a group to which each test subject belongs.

[0029] The groups are defined by at least one of the following: occupation, affiliation within a given organization, gender, age group, and whether or not data has been registered in advance. Examples include, but are not limited to, "group of people under 10 years old," "group of police officers," "group of security guards," "group of cleaners," "group of women in department A," "group of men in department A," "group of directors," "group of bodyguards," and "group of people not registered in the database."

[0030] The acquisition unit 11 acquires at least one of subject identification information for identifying a plurality of subjects, information on personal belongings held by the subject, information on clothing of the subject, and attributes of the subject estimated from an image, and identifies a group to which the subject belongs based on the acquired information. An example will be described below.

[0031] -First group specific processing example- In this example, subject identification information is assigned in advance to each of a plurality of people, and the storage unit 15 stores linking information linking the subject identification information with the group to which each test subject belongs.

[0032] The acquisition unit 11 then acquires subject identification information from each person being examined. The subject identification information may be any technology capable of identifying multiple people from one another. For example, the subject identification information may be characteristic information possessed by each person, such as face information (such as a face image or an appearance feature amount extracted from a face image), fingerprint information, voiceprint information, iris information, gait information, etc. Alternatively, the subject identification information may be information created for each person, such as an arrangement of numbers, letters, etc.

[0033] When the subject identification information is face information, iris information, gait information, or the like, the acquisition unit 11 is configured to include an imaging device such as a camera. When the subject identification information is fingerprint information, the acquisition unit 11 is configured to include a fingerprint sensor (fingerprint reading device). When the subject identification information is a voiceprint, the acquisition unit 11 is configured to include a microphone. When the subject identification information is information in which numbers, letters, or the like are arranged, the acquisition unit 11 is configured to include an input device such as a short-range wireless communication device, a code reader, a touch panel, a keyboard, a physical button, a microphone, a camera, or the like.

[0034] In this example, the acquisition unit 11 identifies the group to which each test subject belongs, based on the subject identification information acquired from each test subject and the linking information stored in the storage unit 15.

[0035] It should be noted that test subjects who do not have subject identification information may be identified as belonging to the "group of people not registered in the database."

[0036] -Second group specific processing example- In this example, the acquisition unit 11 is configured to include an imaging device such as a camera. The acquisition unit 11 analyzes an image including the subject of inspection, and acquires at least one of information on belongings held by the subject of inspection and information on the clothing of the subject of inspection. Then, based on this information, the acquisition unit 11 estimates the subject of inspection's occupation, affiliation within a specified organization, etc. Specifically, based on the uniform, badge, belongings, etc., the person's occupation, affiliation within a specified organization, etc. are estimated.

[0037] The characteristic amounts of belongings and clothing specific to each person for each occupation, affiliation within a specific organization, etc. are stored in advance in the storage unit 15. The acquisition unit 11 analyzes an image of the test subject and detects these characteristic amounts to estimate the test subject's occupation, affiliation within a specific organization, etc.

[0038] -Third group specific processing example- In this example, the acquisition unit 11 includes an imaging device such as a camera. The acquisition unit 11 analyzes an image including the test subject and estimates the attributes of the test subject. Then, the acquisition unit 11 identifies a group to which the test subject belongs based on the estimated attributes. The estimated attributes include age group, sex, etc. Technology for estimating these attributes through image analysis is widely known, so a description thereof will be omitted here.

[0039] -Fourth group specific processing example- In this example, any two or more of the first to third group identification process examples are combined to identify the group to which the test subject belongs.

[0040] The determination unit 12 determines the contents of the baggage inspection for each inspection subject based on the individual specific information acquired by the acquisition unit 11. The baggage inspection is an inspection realized by the detection unit 13 and the electromagnetic wave transmission / reception unit 14. An example will be described below.

[0041] -First content decision example- In this example, the determination unit 12 determines whether or not to carry out a baggage search for each test subject based on the individual specific information. For example, groups are defined as shown in Fig. 5, and whether or not to carry out a baggage search for each group is defined as shown in Fig. 6. The information shown in Figs. 5 and 6 is stored in the storage unit 15.

[0042] As shown in Figure 6, the decision unit 12 decides whether or not to conduct a baggage search for each person to be tested, based on group information that defines the content of the baggage search for each group in advance and the individual-specific information (information indicating the group to which the person to be tested belongs) acquired by the acquisition unit 11.

[0043] In this example, the determination unit 12 can output the determined content, i.e., whether or not to conduct a baggage search, via a predetermined output device (such as a display, speaker, lamp, or projection device). The output device may be installed, for example, at the inspection site, and may be configured to present predetermined information to the person being inspected and an administrator who manages the inspection.

[0044] In this way, a person subject to inspection who is determined not to undergo a baggage inspection can pass through the inspection area without passing through a location where electromagnetic waves are irradiated by the electromagnetic wave transmitting / receiving unit 14 (in front of a panel, a gate, a booth, etc.).

[0045] Note that even if a person is judged not to undergo a baggage inspection, he or she will pass through a position (in front of a panel, a gate, a booth, etc.) where electromagnetic waves are irradiated by the electromagnetic wave transmitting and receiving unit 14, but the irradiation of electromagnetic waves and reception of reflected waves may not be performed on that person (controlling the electromagnetic wave transmitting and receiving unit 14). In addition, the device may be configured to irradiate electromagnetic waves and receive reflected waves from a person who is judged not to undergo a baggage inspection, but not to detect a detection target based on the signal of the reflected wave (controlling the detection unit 13). In addition, the device may be configured to detect detection targets for a person who is judged not to undergo a baggage inspection, but not to output a warning even if a specified detection target is detected (controlling the detection unit 13).

[0046] -Second example of content decision- In this example, the determination unit 12 determines the detection target to be detected for each test subject based on the individual specific information. For example, groups are defined as shown in Fig. 5, and detection targets are defined for each group as shown in Fig. 7. The information shown in Fig. 5 and Fig. 7 is stored in the storage unit 15.

[0047] As shown in Figure 7, the determination unit 12 determines the objects (detection objects) to be detected in the baggage search for each test subject based on group information that predefines the content of the baggage search for each group and the individual-specific information (information indicating the group to which the test subject belongs) acquired by the acquisition unit 11.

[0048] In this example, the determination unit 12 notifies the detection unit 13 of the determined content. The detection unit 13 executes a process of detecting the determined detection object. That is, in the case of the first determination process example described above, the detection unit 13 detects the detection object from the transmission image based on the result of matching between the shape feature of the determined detection object and the shape feature appearing in the transmission image. In addition, in the case of the second determination process example described above, the detection unit 13 detects a reflected wave feature specific to the detection object from the reflected wave signal based on the result of matching between the reflected wave feature of the determined detection object and the feature appearing in the reflected wave signal. Note that the feature (shape feature or reflected wave feature) of the object not determined as the detection object is excluded from the matching target.

[0049] -Third content decision example- In this example, the determination unit 12 determines the examination area for each examination subject based on the individual specific information. For example, groups are defined as shown in FIG. 5, and an examination area is defined for each group as shown in FIG. 8. The examination area is a part to be examined, and is expressed by at least a part of the body (whole body, upper body, lower body, head, etc.) or a component of clothing (pocket, etc.). The information shown in FIG. 5 and FIG. 8 is stored in the storage unit 15.

[0050] As shown in Figure 8, the determination unit 12 determines the inspection areas for the baggage inspection for each person to be inspected based on group-specific information that defines the content of the baggage inspection for each group in advance and the individual-specific information (information indicating the group to which the person to be inspected belongs) acquired by the acquisition unit 11.

[0051] In this example, the determination unit 12 notifies the detection unit 13 of the determined content. The detection unit 13 executes a process of analyzing the image of the determined part and detecting the detection target. That is, in the case of the above-mentioned first judgment processing example, the detection unit 13 first extracts the inspection part from the transmission image, and then executes a process of analyzing the image part in which the extracted part appears and detecting the detection target. The appearance feature amount of each of the multiple parts specified as the inspection part is stored in advance in the storage unit 15. The detection unit 13 extracts the inspection part from the transmission image based on the result of matching the appearance feature amount of the inspection part registered in advance with the feature amount of the shape appearing in the transmission image.

[0052] -Fourth content decision example- In this example, the determination unit 12 determines the inspection method for the inspection of belongings for each inspection subject based on the individual specific information. For example, groups are defined as shown in FIG. 5, and an inspection method is defined for each group as shown in FIG. 9. In the illustrated example, either a "first inspection method (pause) in which the subject stops temporarily in the area where electromagnetic waves are irradiated (in front of the electromagnetic wave transmitting / receiving unit 14 composed of a panel in the example of FIG. 4)" or a "second inspection method (pass) in which the subject passes through the area where electromagnetic waves are irradiated without stopping temporarily" is defined for each group. The first inspection method has higher detection accuracy but lower throughput. The second inspection method has lower detection accuracy but higher throughput. The information shown in FIG. 5 and FIG. 9 is stored in the storage unit 15.

[0053] As shown in Figure 9, the determination unit 12 determines the inspection method for the belongings inspection for each person to be inspected based on group-specific information that defines the content of the belongings inspection for each group in advance and the individual-specific information (information indicating the group to which the person to be inspected belongs) acquired by the acquisition unit 11.

[0054] In this example, the determination unit 12 can output the determined content (test method) via a predetermined output device (display, speaker, lamp, projection device, etc.). The output device may be installed, for example, at the testing site, and may be configured to present predetermined information to the test subject and the manager who manages the test.

[0055] The first and second inspection methods described above are merely examples, and other inspection methods may be used. For example, there is an inspection method in which each person passes through an area irradiated with electromagnetic waves, and an inspection method in which multiple people pass through an area irradiated with electromagnetic waves at the same time, and one of the inspection methods may be determined for each group.

[0056] - Fifth content decision example - In this example, the determination unit 12 determines a reference value for the process of detecting the detection target for each test subject based on the individual specific information. For example, groups are defined as shown in Fig. 5, and a reference value is defined for each group as shown in Fig. 10. The information shown in Fig. 5 and Fig. 10 is stored in the storage unit 15.

[0057] Here, the reference value will be described. The above-mentioned detection unit 13 calculates the likelihood (also called reliability, certainty, etc.) that the signal of the reflected wave contains a feature characteristic of a predetermined detection object by comparing the feature characteristic of the shape of the detection object with the feature characteristic of the shape that appears in the transmitted image, or by comparing the feature characteristic of the detection object with the feature characteristic that appears in the signal of the reflected wave. This likelihood is expressed numerically. There are various ways of expressing it, but it may be expressed as a percentage, for example. Then, when this likelihood is equal to or greater than the reference value, the detection unit 13 determines that the signal of the reflected wave contains a feature characteristic of the detection object.

[0058] The above-mentioned standard value determined for each person to be detected is a reference value to be compared with the calculated likelihood. The higher this standard value is set, the fewer false positives (detecting a different object as the object to be detected) and the fewer hits, but the more missed detections. The lower this standard value is set, the more false positives (detecting a different object as the object to be detected) and the more hits, but the fewer missed detections.

[0059] As shown in Figure 10, the determination unit 12 determines a reference value for the process of detecting the object to be detected based on group-specific information that predefines the content of the baggage inspection for each group and the individual-specific information (information indicating the group to which the person to be inspected belongs) acquired by the acquisition unit 11.

[0060] In this example, the determination unit 12 notifies the detection unit 13 of the determined content. The detection unit 13 calculates the likelihood (also called reliability, certainty, etc.) that the signal of the reflected wave contains a feature characteristic of the predetermined detection object by comparing the feature characteristic of the shape of the detection object with the feature characteristic of the shape appearing in the transmitted image, or by comparing the feature characteristic of the detection object with the feature characteristic appearing in the signal of the reflected wave, and then determines whether or not the signal of the reflected wave contains a feature characteristic of the predetermined detection object based on a comparison result between the calculated likelihood and the above-mentioned determined reference value.

[0061] 10 is based on the premise that the reference values ​​for all detection targets are the same, the reference values ​​may be different for each detection target. In other words, the reference values ​​for each of the multiple detection targets may be determined for each group.

[0062] -Sixth content decision example- In this example, a combination of the first to fifth content determination examples is used. For example, based on the first content determination example, it is determined whether or not to carry out a baggage search for each person to be inspected. Then, for those persons to be inspected for whom it has been determined that a baggage search should be carried out, the inspection contents are determined for each person to be inspected based on at least one of the second to fifth content determination examples.

[0063] Next, an example of the process flow of the inspection system 10 will be described with reference to the flowchart of FIG.

[0064] First, the inspection system 10 acquires material information including at least one of individual specific information and environmental information (S10).

[0065] In this embodiment, the inspection system 10 acquires individual specific information from the test subject before a possession inspection at the inspection site. For example, the inspection system 10 acquires information indicating a group to which the test subject belongs as the individual specific information. The inspection system 10 acquires at least one of subject identification information that distinguishes multiple test subjects from each other, information on belongings held by the test subject, information on the test subject's clothing, and attributes of the test subject estimated from an image, and can identify the group to which the test subject belongs based on the acquired information.

[0066] Next, the inspection system 10 determines the contents of the inspection for each inspection subject and / or for each inspection timing based on the material information acquired in S10 (S11).

[0067] In this embodiment, the inspection system 10 determines the contents of the baggage inspection for each inspection subject based on the signal of the reflected electromagnetic wave with a wavelength of 30 micrometers or more and 1 meter or less, based on the individual specific information (material information). For example, the inspection system 10 can determine whether or not to carry out a baggage inspection for each inspection subject, based on the individual specific information. The inspection system 10 can also determine the contents of the baggage inspection for each inspection subject, based on the individual specific information.

[0068] Next, the inspection system 10 executes a predetermined process to make the baggage inspection for each inspection subject conform to the determined contents (S12). For example, the inspection system 10 presents the determined contents to the inspection subject and the manager who manages the inspection, and controls the processing contents of the detection unit 13, the electromagnetic wave transmission / reception unit 14, etc.

[0069] "Action and effect" According to the inspection system 10 of the present embodiment, it is possible to perform a possession inspection of each of a plurality of subjects, with the contents appropriate to the individual's unique information. For example, for persons who have a low need for a possession inspection, such as police officers or children, it is possible to not perform a possession inspection or to reduce the types of objects to be detected. On the other hand, for persons who have a high need for a possession inspection, it is possible to perform a possession inspection or to increase the types of objects to be detected. In this way, by adjusting the contents of the inspection according to the necessity of the possession inspection, the possession inspection becomes more efficient and the waiting time for the inspection is shortened.

[0070] <Second embodiment> 12 shows an example of a functional block diagram of the inspection system 10 of the present embodiment. The inspection system 10 of the present embodiment differs from the inspection system 10 of the first embodiment in that it has an inspection unit 16.

[0071] The inspection unit 16 performs inspections on the subject of inspection other than the possession inspection based on the reflected wave signal of the electromagnetic wave having a wavelength of 30 micrometers or more and 1 meter or less (hereinafter, "possession inspection based on the reflected wave signal") described in the first embodiment. For example, the inspection unit 16 can perform a body temperature inspection to measure the body temperature of the subject of inspection, a possession inspection using a metal detector, a possession inspection using an odor detector, etc. These inspections can be realized by employing any technology.

[0072] The inspection unit 16 can output the inspection results via a predetermined output device (display, speaker, warning lamp, projection device, etc.). The output device may be installed, for example, at the inspection site, and may be configured to present predetermined information to the person being inspected or the manager who manages the inspection. Furthermore, the inspection unit 16 may change the output mode of the output device depending on the contents of the inspection results. There are various ways of outputting, and any means can be adopted in this embodiment.

[0073] The determination unit 12 determines which test to perform from among multiple types of tests for each test subject, based on the individual specific information indicating the group to which the test subject belongs. The multiple types of tests include the possession check based on the signal of the reflected wave realized by the detection unit 13 and the electromagnetic wave transmission / reception unit 14, as well as the various tests described above realized by the inspection unit 16.

[0074] For example, as shown in Fig. 13, group-by-group information that defines the type of test to be performed for each group may be stored in the storage unit 15. Then, the determination unit 12 may determine the test to be performed for each test subject from among multiple types of tests based on the group-by-group information. The concept of groups and the means for identifying the group to which the test subject belongs are as described in the first embodiment.

[0075] The determination unit 12 can output the determined content, i.e., information indicating the type of test to be performed, via a predetermined output device (display, speaker, lamp, projection device, etc.). The output device may be installed, for example, at the testing site, and may be configured to present the predetermined information to the test subject and the manager who manages the test.

[0076] Other configurations of the inspection system 10 of this embodiment are similar to those of the second embodiment.

[0077] As described above, the testing system 10 of this embodiment achieves the same effects as those of the first embodiment. Furthermore, the testing system 10 of this embodiment can perform a test suitable for each test subject. By customizing the test content to suit each individual, it is possible to eliminate unnecessary testing. As a result, the testing becomes more efficient and waiting time for testing is reduced.

[0078] <Third embodiment> This embodiment differs from the first embodiment in that the contents of the baggage inspection are determined for each inspection subject, rather than for each group. An example of a functional block diagram of the inspection system 10 of this embodiment is shown in FIG. 3, as in the first embodiment.

[0079] The acquisition unit 11 acquires the subject identification information described in the first embodiment as individual specific information.

[0080] The determination unit 12 determines the contents of the possession inspection for each inspection subject based on the individual specific information acquired by the acquisition unit 11. An example will be described below.

[0081] - Seventh content decision example - In this example, the determination unit 12 determines whether or not to carry out a baggage search for each test subject based on the individual specific information. For example, whether or not to carry out a baggage search is defined for each test subject identification information as shown in Fig. 14. The information shown in Fig. 14 is stored in the storage unit 15.

[0082] As shown in Figure 14, the decision unit 12 decides whether or not to conduct a baggage search for each test subject based on individual information that defines the content of the baggage search in advance for each test subject and the individual-specific information (subject identification information) acquired by the acquisition unit 11.

[0083] For a test subject who does not have subject identification information, the determination unit 12 can determine the contents of a baggage search for an unregistered person (whether or not to conduct a baggage search), which are predetermined for the unregistered person. The contents of the baggage search for an unregistered person may be determined to be that a baggage search is to be conducted.

[0084] In this example, the determination unit 12 can output the determined content, i.e., whether or not to conduct a baggage search, via a predetermined output device (such as a display, speaker, lamp, or projection device). The output device may be installed, for example, at the inspection site, and may be configured to present predetermined information to the person being inspected and an administrator who manages the inspection.

[0085] In this way, a person subject to inspection who is determined not to undergo a baggage inspection can pass through the inspection area without passing through a location where electromagnetic waves are irradiated by the electromagnetic wave transmitting / receiving unit 14 (in front of a panel, a gate, a booth, etc.).

[0086] Note that even if a person is judged not to undergo a baggage inspection, he or she will pass through a position (in front of a panel, a gate, a booth, etc.) where electromagnetic waves are irradiated by the electromagnetic wave transmitting and receiving unit 14, but the irradiation of electromagnetic waves and reception of reflected waves may not be performed on that person (controlling the electromagnetic wave transmitting and receiving unit 14). In addition, the device may be configured to irradiate electromagnetic waves and receive reflected waves from a person who is judged not to undergo a baggage inspection, but not to detect a detection target based on the signal of the reflected wave (controlling the detection unit 13). In addition, the device may be configured to detect detection targets for a person who is judged not to undergo a baggage inspection, but not to output a warning even if a specified detection target is detected (controlling the detection unit 13).

[0087] -Example of the 8th content decision- In this example, the determination unit 12 determines the detection target to be detected for each test subject based on the individual specific information. For example, the detection target is defined for each test subject identification information as shown in Fig. 15. The information shown in Fig. 15 is stored in the storage unit 15.

[0088] As shown in Figure 15, the determination unit 12 determines the objects (detection objects) to be detected in the baggage inspection for each test subject based on individual information that defines the content of the baggage inspection in advance for each test subject and the individual-specific information (subject identification information) acquired by the acquisition unit 11.

[0089] For a test subject who does not have test subject identification information, the determination unit 12 can determine the contents of the possession inspection (objects to be detected) that are predetermined for unregistered persons.

[0090] In this example, the determination unit 12 notifies the detection unit 13 of the determined content. The detection unit 13 executes a process of detecting the determined detection object. That is, in the case of the first determination processing example described in the first embodiment, the detection unit 13 detects the detection object from the transmission image based on the result of matching between the shape feature of the determined detection object and the shape feature appearing in the transmission image. In addition, in the case of the second determination processing example described in the first embodiment, the detection unit 13 detects a reflected wave feature specific to the detection object from the reflected wave signal based on the result of matching between the reflected wave feature of the determined detection object and the feature appearing in the reflected wave signal. Note that the feature (shape feature or reflected wave feature) of the object not determined as the detection object is excluded from the matching target.

[0091] -The ninth content decision example- In this example, the determination unit 12 determines the detection target to be detected for each test subject based on the individual specific information in a method different from that of the eighth content determination example.

[0092] In this example, a plurality of inspection sites are provided in a facility. Various types of inspections are performed at each of the plurality of inspection sites. For example, an inspection site is provided at the entrance of the facility, and inspection sites are provided at the entrances of various areas within the facility.

[0093] In this example, the test history of the test subject is registered in association with the subject identification information as shown in Fig. 16. The information shown in Fig. 16 is stored in the storage unit 15. The test history indicates the content of tests performed on each test subject at a testing site installed in the facility during the past period. For example, the test history indicates objects that were subject to detection in a possession search performed on each test subject, i.e., objects for which detection processing has already been performed.

[0094] The "past period" may be "today", "from the present time until a predetermined time ago", or other. For example, assuming a case where a person repeatedly enters and leaves a facility, the "past period" may be "from the most recent entrance to the facility until the present time".

[0095] In the example shown in FIG. 16, a serial number, subject identification information, and tested objects are registered in association with each other. The serial number is identification information assigned by the testing system 10 to a person who comes to the facility. The subject identification information is as described above. Tested objects indicate objects that were detected in a possession inspection conducted on each test subject during a past period. Note that in the example shown, identification information of the testing site where the test was conducted (G001, etc.) and the time when the test was conducted (8:13, etc.) are registered in association with each tested object, but this information does not have to be registered, and other information may also be registered.

[0096] The determination unit 12 determines, for each test subject, objects to be detected (objects to be detected) in the inspection of personal belongings at each inspection site based on the inspection history of each test subject as shown in Fig. 16. For example, the determination unit 12 determines objects other than the already-detected objects as objects to be detected (objects to be detected).

[0097] In this example, the determination unit 12 notifies the detection unit 13 of the determined content. The detection unit 13 executes a process of detecting the determined detection object. That is, in the case of the first determination processing example described in the first embodiment, the detection unit 13 detects the detection object from the transmission image based on the result of matching between the shape feature of the determined detection object and the shape feature appearing in the transmission image. In addition, in the case of the second determination processing example described in the first embodiment, the detection unit 13 detects a reflected wave feature specific to the detection object from the reflected wave signal based on the result of matching between the reflected wave feature of the determined detection object and the feature appearing in the reflected wave signal. Note that the feature (shape feature or reflected wave feature) of the object not determined as the detection object is excluded from the matching target.

[0098] -10th Content Decision Example- In this example, the determination unit 12 determines the examination area for each examination subject based on the individual specific information. For example, the examination area is defined for each subject identification information as shown in Fig. 17. The information shown in Fig. 17 is stored in the storage unit 15. The examination area is a part to be examined, and is expressed by at least a part of the body (whole body, upper body, lower body, head, etc.) or a component of clothing (pocket, etc.).

[0099] As shown in Figure 17, the determination unit 12 determines the inspection areas for the baggage inspection for each inspection subject based on individual information that predefines the content of the baggage inspection for each subject identification information and the individual-specific information (subject identification information) acquired by the acquisition unit 11.

[0100] In this example, the determination unit 12 notifies the detection unit 13 of the determined content. The detection unit 13 executes a process of analyzing the image of the determined part and detecting the detection target. That is, in the case of the above-mentioned first judgment processing example, the detection unit 13 first extracts the inspection part from the transmission image, and then executes a process of analyzing the image part in which the extracted part appears and detecting the detection target. The appearance feature amount of each of the multiple parts specified as the inspection part is stored in advance in the storage unit 15. The detection unit 13 extracts the inspection part from the transmission image based on the result of matching the appearance feature amount of the inspection part registered in advance with the feature amount of the shape appearing in the transmission image.

[0101] -The 11th content decision example- In this example, the determination unit 12 determines the inspection method for the baggage inspection for each inspection subject based on the individual specific information. For example, as shown in FIG. 18, the inspection method is defined for each subject identification information. The information shown in FIG. 18 is stored in the storage unit 15. In the illustrated example, either "a first inspection method (pause) in which the inspection subject pauses in the area where electromagnetic waves are irradiated (in front of the electromagnetic wave transmitting / receiving unit 14 composed of a panel in the example of FIG. 4)" or "a second inspection method (pass) in which the inspection subject passes through the area where electromagnetic waves are irradiated without pausing" is defined for each inspection subject. The first inspection method has higher detection accuracy but lower throughput. The second inspection method has lower detection accuracy but better throughput.

[0102] As shown in Figure 18, the determination unit 12 determines the inspection method for the baggage inspection based on individual information that predefines the content of the baggage inspection for each subject identification information and the individual-specific information (subject identification information) acquired by the acquisition unit 11.

[0103] In this example, the determination unit 12 can output the determined content (test method) via a predetermined output device (display, speaker, lamp, projection device, etc.). The output device may be installed, for example, at the testing site, and may be configured to present predetermined information to the test subject and the manager who manages the test.

[0104] The first and second inspection methods described above are merely examples, and other inspection methods may be used. For example, there is an inspection method in which each person passes through an area irradiated with electromagnetic waves, and an inspection method in which multiple people pass through an area irradiated with electromagnetic waves at the same time, and one of the inspection methods may be determined for each group.

[0105] -Example of the 12th content decision- In this example, the determination unit 12 determines a reference value for the process of detecting a detection target for each test subject based on the individual specific information. For example, a reference value is defined for each subject identification information as shown in Fig. 19. The information shown in Fig. 19 is stored in the storage unit 15. The concept of the reference value is as described in the first embodiment.

[0106] As shown in Figure 19, the determination unit 12 determines a reference value for the process of detecting the object to be detected based on group information that predefines the content of the possession inspection for each subject identification information and the individual-specific information (subject identification information) acquired by the acquisition unit 11.

[0107] In this example, the determination unit 12 notifies the detection unit 13 of the determined content. The detection unit 13 calculates the likelihood (also called reliability, certainty, etc.) that the signal of the reflected wave contains a feature characteristic of the predetermined detection object by comparing the feature characteristic of the shape of the detection object with the feature characteristic of the shape appearing in the transmitted image, or by comparing the feature characteristic of the detection object with the feature characteristic appearing in the signal of the reflected wave, and then determines whether or not the signal of the reflected wave contains a feature characteristic of the predetermined detection object based on a comparison result between the calculated likelihood and the above-mentioned determined reference value.

[0108] 19 is based on the premise that the reference values ​​for all detection targets are the same, but the reference value may be different for each detection target. In other words, the reference value for each of the multiple detection targets may be determined for each subject identification information.

[0109] -The 13th content decision example- In this example, a combination of the seventh to twelfth content determination examples is used. For example, based on the seventh content determination example, it is determined whether or not to carry out a baggage search for each person to be inspected. Then, for those persons to be inspected for whom it has been determined that a baggage search should be carried out, the inspection contents are determined for each person to be inspected based on at least one of the eighth to twelfth content determination examples.

[0110] Other configurations of the inspection system 10 of this embodiment are similar to those of the first embodiment.

[0111] As described above, the inspection system 10 of this embodiment achieves the same effects as the first embodiment. Furthermore, the inspection system 10 of this embodiment can define the contents of the possession inspection suitable for each person to be inspected, and can perform the possession inspection with the defined contents. By customizing the contents of the possession inspection to suit each individual, it is possible to eliminate unnecessary inspections. As a result, the possession inspection becomes more efficient, and the waiting time for the inspection is shortened.

[0112] <Fourth embodiment> 12 shows an example of a functional block diagram of the inspection system 10 of the present embodiment. The inspection system 10 of the present embodiment differs from the inspection system 10 of the third embodiment in that it has an inspection unit 16. The configuration of the inspection unit 16 is as described in the second embodiment.

[0113] The determination unit 12 determines which test to perform from among multiple types of tests for each test subject based on the individual specific information. The multiple types of tests include a possession check based on a signal of a reflected wave realized by the detection unit 13 and the electromagnetic wave transmission / reception unit 14, as well as the various tests described above realized by the inspection unit 16.

[0114] 20, individual information that defines the type of test to be performed for each test subject may be stored in the storage unit 15. Then, the determination unit 12 may determine the test to be performed for each test subject from among multiple types of tests based on the individual information.

[0115] Alternatively, a plurality of inspection sites may be provided in a facility, and various types of inspections may be performed at each of the plurality of inspection sites. For example, an inspection site may be provided at the entrance of a facility, and inspection sites may be provided at the entrances of various areas within the facility.

[0116] The test history of the test subject may be registered in association with the subject identification information as shown in Fig. 21. The information shown in Fig. 21 is stored in the storage unit 15. The test history shown in the figure indicates the types of tests performed on each test subject at a testing site installed in the facility during a past period. The concept of the past period is as explained in the second embodiment.

[0117] The determination unit 12 determines the type of test to be performed at each testing site for each test subject based on the test history of each test subject as shown in Fig. 21. For example, the determination unit 12 may determine a test other than a test that has already been performed as the test to be performed.

[0118] The determination unit 12 can output the determined content, i.e., information indicating the type of test to be performed, via a predetermined output device (display, speaker, lamp, projection device, etc.). The output device may be installed, for example, at the testing site, and may be configured to present the predetermined information to the test subject and the manager who manages the test.

[0119] Other configurations of the inspection system 10 of this embodiment are similar to those of the third embodiment.

[0120] As described above, the testing system 10 of this embodiment achieves the same effects as those of the third embodiment. Furthermore, the testing system 10 of this embodiment can perform a test suitable for each test subject. By customizing the test content to suit each individual, it is possible to eliminate unnecessary testing. As a result, the testing becomes more efficient and waiting time for testing is reduced.

[0121] <Fifth embodiment> The testing system 10 of this embodiment differs from the first embodiment in that the test contents are not determined for each test subject based on individual specific information, but are determined for each test timing based on environmental information indicating the state of the environment that changes for each test timing. An example of a functional block diagram of the testing system 10 of this embodiment is shown in FIG. 3, as in the first embodiment. Moreover, the testing system 10 of this embodiment can be configured in such a way that the individual specific information acquisition device 3 is eliminated from the configuration shown in FIG. 1.

[0122] The acquisition unit 11 acquires environmental information indicating a state value of the environment that changes for each inspection timing. The environmental information can indicate, for example, a state value of something that may affect the progress of the inspection. Specifically, the environmental information may indicate at least one of the following: date and time, day of the week, weather, temperature, congestion at the facility, details of events held at the facility, congestion at the inspection, number of personnel involved in the inspection, and the presence or absence of causes that cause congestion waiting for the inspection other than the throughput of the inspection.

[0123] There is no particular limitation on the means for acquiring such environmental information, but examples of such means include referring to data stored in the inspection system 10, acquiring information stored in a server, analyzing images taken inside the facility, and inputting state values ​​by a user.

[0124] The determination unit 12 determines the contents of the possession inspection for each inspection timing based on the environmental information acquired by the acquisition unit 11. The possession inspection is an inspection realized by the detection unit 13 and the electromagnetic wave transmission / reception unit 14. An example will be described below.

[0125] -14th Content Decision Example- In this example, the determination unit 12 determines whether or not to carry out a possession inspection for each inspection timing based on the environmental information. In this example, multiple cases are defined based on the state value of the environment indicated by the environmental information. Examples using the congestion status of the facility include "first case: facility is crowded", "second case: facility is empty", etc. Furthermore, cases may be defined by combining multiple environmental information, such as "first case: facility is crowded Monday-Friday", "second case: facility is empty Monday-Friday", "third case: facility is crowded Saturday-Sunday", "fourth case: facility is empty Saturday-Sunday", etc.

[0126] Whether or not to carry out a personal belongings search is defined for each case as shown in Fig. 22. The information shown in Fig. 22 and information indicating the definitions of a plurality of cases (not shown) are stored in the storage unit 15.

[0127] The determination unit 12 identifies the corresponding case based on the environmental information acquired by the acquisition unit 11. After that, the determination unit 12 determines whether or not to perform a personal belongings search at each inspection timing based on case-by-case information that predetermines the contents of the personal belongings search for each case and the case identification result, as shown in Fig. 22 .

[0128] In this example, the determination unit 12 can output the determined content, i.e., whether or not to conduct a baggage search, via a predetermined output device (such as a display, speaker, lamp, or projection device). The output device may be installed, for example, at the inspection site, and may be configured to present predetermined information to the person being inspected and an administrator who manages the inspection.

[0129] In this way, when it is determined that no baggage inspection will be carried out, the person being inspected can pass through the inspection area without passing through a location where electromagnetic waves are irradiated by the electromagnetic wave transmitting / receiving unit 14 (in front of a panel, a gate, a booth, etc.).

[0130] Note that even at the timing when it is determined that a baggage inspection will not be performed, the person to be inspected passes through a position (in front of a panel, a gate, a booth, etc.) where electromagnetic waves are irradiated by the electromagnetic wave transmitting and receiving unit 14, but the irradiation of electromagnetic waves and reception of reflected waves from the person to be inspected may not be performed (controlling the electromagnetic wave transmitting and receiving unit 14). Additionally, even at the timing when it is determined that a baggage inspection will not be performed, the person to be inspected may be irradiated with electromagnetic waves and the reflected waves may be received, but detection of a detection target based on the signal of the reflected waves may not be performed (controlling the detection unit 13). Additionally, even at the timing when it is determined that a baggage inspection will not be performed, the process of detecting a detection target from the person to be inspected may be performed, but a warning may not be output even if a specific detection target is detected (controlling the detection unit 13).

[0131] -15th Content Decision Example- In this example, the determination unit 12 determines the detection target to be detected for each inspection timing based on the environmental information. First, as described above, a plurality of cases are defined based on the state value of the environment indicated by the environmental information. Then, the detection target is defined for each case as shown in Fig. 23. The information shown in Fig. 23 and information (not shown) indicating the definitions of the plurality of cases are stored in the storage unit 15.

[0132] The determination unit 12 identifies the corresponding case based on the environmental information acquired by the acquisition unit 11. After that, the determination unit 12 determines the detection target for each inspection timing based on case-by-case information that predetermines the contents of the possession inspection for each case and the case identification result, as shown in Fig. 23 .

[0133] In this example, the determination unit 12 notifies the detection unit 13 of the determined content. The detection unit 13 executes a process of detecting the determined detection object. That is, in the case of the first determination process example described above, the detection unit 13 detects the detection object from the transmission image based on the result of matching between the shape feature of the determined detection object and the shape feature appearing in the transmission image. In addition, in the case of the second determination process example described above, the detection unit 13 detects a reflected wave feature specific to the detection object from the reflected wave signal based on the result of matching between the reflected wave feature of the determined detection object and the feature appearing in the reflected wave signal. Note that the feature (shape feature or reflected wave feature) of the object not determined as the detection object is excluded from the matching target.

[0134] -Example of the 16th content decision- In this example, the determination unit 12 determines the examination area for each examination timing based on the environmental information. First, as described above, a plurality of cases are defined based on the state value of the environment indicated by the environmental information. Then, an examination area is defined for each case as shown in FIG. 24. The examination area is a part to be examined, and is expressed by at least a part of the body (whole body, upper body, lower body, head, etc.) or a component of clothing (pocket, etc.). The information shown in FIG. 24 and information indicating the definitions of the plurality of cases (not shown) are stored in the memory unit 15.

[0135] The determination unit 12 identifies the corresponding case based on the environmental information acquired by the acquisition unit 11. After that, the determination unit 12 determines the inspection area for each inspection timing based on case-by-case information that predetermines the contents of the baggage inspection for each case and the case identification result, as shown in Fig. 24 .

[0136] In this example, the determination unit 12 notifies the detection unit 13 of the determined content. The detection unit 13 executes a process of analyzing the image of the determined part and detecting the detection target. That is, in the case of the above-mentioned first judgment processing example, the detection unit 13 first extracts the inspection part from the transmission image, and then executes a process of analyzing the image part in which the extracted part appears and detecting the detection target. The appearance feature amount of each of the multiple parts specified as the inspection part is stored in advance in the storage unit 15. The detection unit 13 extracts the inspection part from the transmission image based on the result of matching the appearance feature amount of the inspection part registered in advance with the feature amount of the shape appearing in the transmission image.

[0137] -17th Content Decision Example- In this example, the determination unit 12 determines the inspection method for the inspection of possessions for each inspection timing based on the environmental information. First, as described above, a plurality of cases are defined based on the state value of the environment indicated by the environmental information. Then, as shown in FIG. 25, an inspection method is defined for each case. In the illustrated example, either "a first inspection method (pause) in which the user pauses in the area where the electromagnetic waves are irradiated (in front of the electromagnetic wave transmitting / receiving unit 14 composed of a panel in the case of the example of FIG. 4)" or "a second inspection method (through) in which the user passes through the area where the electromagnetic waves are irradiated without pausing" is defined for each case. The first inspection method has higher detection accuracy but lower throughput. The second inspection method has lower detection accuracy but higher throughput. For example, it may be defined that the second inspection method is implemented in the case of crowded inspections, and the first inspection method is implemented in the case of crowded facilities. With this definition, it is possible to increase the throughput by using the second inspection method when the inspections are crowded, and to eliminate the congestion. Then, when the facility is crowded and the throughput is low regardless of the inspection, it is possible to emphasize detection accuracy over inspection throughput by using the first inspection method. The information shown in FIG. 25 and information indicating the definitions of a plurality of cases (not shown) are stored in the storage unit 15.

[0138] The determination unit 12 identifies the corresponding case based on the environmental information acquired by the acquisition unit 11. After that, the determination unit 12 determines the inspection method of the possession inspection for each inspection timing based on the case-by-case information that predetermines the contents of the possession inspection for each case and the case identification result, as shown in Fig. 25 .

[0139] In this example, the determination unit 12 can output the determined content (test method) via a predetermined output device (display, speaker, lamp, projection device, etc.). The output device may be installed, for example, at the testing site, and may be configured to present predetermined information to the test subject and the manager who manages the test.

[0140] The first and second inspection methods described above are merely examples, and other inspection methods may be used. For example, there is an inspection method in which each person passes through an area irradiated with electromagnetic waves, and an inspection method in which multiple people pass through an area irradiated with electromagnetic waves at the same time, and one of the inspection methods may be determined for each group.

[0141] -Example of the 18th content decision- In this example, the determination unit 12 determines a reference value for the process of detecting the detection target object for each inspection timing based on the environmental information. First, as described above, a plurality of cases are defined based on the state value of the environment indicated by the environmental information. Then, a reference value is defined for each case as shown in FIG. 26. The information shown in FIG. 26 and information indicating the definitions of the plurality of cases (not shown) are stored in the storage unit 15. The concept of the reference value is as described in the first embodiment.

[0142] The determination unit 12 identifies the corresponding case based on the environmental information acquired by the acquisition unit 11. After that, the determination unit 12 determines a reference value for the process of detecting the detection target based on case-by-case information that predetermines the contents of the possession inspection for each case and the case identification result, as shown in Fig. 26 .

[0143] In this example, the determination unit 12 notifies the detection unit 13 of the determined content. The detection unit 13 calculates the likelihood (also called reliability, certainty, etc.) that the signal of the reflected wave contains a feature characteristic of the predetermined detection object by comparing the feature characteristic of the shape of the detection object with the feature characteristic of the shape appearing in the transmitted image, or by comparing the feature characteristic of the detection object with the feature characteristic appearing in the signal of the reflected wave, and then determines whether or not the signal of the reflected wave contains a feature characteristic of the predetermined detection object based on a comparison result between the calculated likelihood and the above-mentioned determined reference value.

[0144] 26 is based on the premise that the reference values ​​for all detection targets are the same, but the reference values ​​may be different for each detection target. In other words, the reference values ​​for each of the multiple detection targets may be determined for each case.

[0145] -19th Content Decision Example- In this example, a combination of multiple examples from the 14th content determination example to the 18th content determination example is used. For example, based on the 14th content determination example, it is determined whether or not to conduct a personal belongings search for each inspection timing. Then, for the inspection subject for whom it has been determined that a personal belongings search should be conducted, the inspection contents are determined for each inspection timing based on at least one of the 15th content determination example to the 18th content determination example.

[0146] Next, an example of the process flow of the inspection system 10 will be described with reference to the flowchart of FIG.

[0147] First, the inspection system 10 acquires material information including at least one of individual specific information and environmental information (S10).

[0148] In this embodiment, the inspection system 10 acquires environmental information at any timing. In response to the acquisition of the environmental information, the following inspection contents are determined and the inspection contents are changed. The environmental information may be acquired once a day, or may be acquired multiple times a day. The inspection system 10 may monitor the arrival of a predetermined timing (e.g., every hour, every 30 minutes), and may acquire the latest environmental information in response to the arrival of the timing. The inspection system 10 may also acquire the latest environmental information in response to an execution instruction from a user.

[0149] Next, the inspection system 10 determines the contents of the inspection for each inspection subject and / or for each inspection timing based on the material information acquired in S10 (S11).

[0150] In this embodiment, the inspection system 10 identifies the relevant case based on environmental information (material information), and determines the contents of the possession inspection based on the signal of the reflected electromagnetic wave with a wavelength of 30 micrometers or more and 1 meter or less for each inspection timing based on the case identification result. For example, the inspection system 10 can determine whether or not to perform a possession inspection for each inspection timing based on the case identification result based on the environmental information. Also, the inspection system 10 can determine the contents of the possession inspection for each inspection timing based on the case identification result based on the environmental information.

[0151] Next, the inspection system 10 executes a predetermined process to make the baggage inspection for each inspection subject conform to the determined contents (S12). For example, the inspection system 10 presents the determined contents to the inspection subject and the manager who manages the inspection, and controls the processing contents of the detection unit 13, the electromagnetic wave transmission / reception unit 14, etc.

[0152] Other configurations of the inspection system 10 of this embodiment are similar to those of the first embodiment.

[0153] As described above, the inspection system 10 of this embodiment achieves the same effects as those of the first embodiment. Furthermore, the inspection system 10 of this embodiment can perform inspection in a manner suitable for each situation (case) specified by the environmental information. By customizing the contents of the inspection according to the situation at that time, it is possible to eliminate unnecessary inspection. As a result, the efficiency of the inspection is improved and waiting time for the inspection is shortened.

[0154] Sixth embodiment 12 shows an example of a functional block diagram of the inspection system 10 of the present embodiment. The inspection system 10 of the present embodiment differs from the inspection system 10 of the fifth embodiment in that it has an inspection unit 16. The configuration of the inspection unit 16 is as described in the second embodiment.

[0155] The determination unit 12 determines which inspection to perform from among multiple types of inspections for each inspection timing based on the environmental information. The multiple types of inspections include the possession inspection based on the signal of the reflected wave realized by the detection unit 13 and the electromagnetic wave transmission / reception unit 14, as well as the various inspections described above realized by the inspection unit 16.

[0156] For example, as shown in Fig. 27, case-by-case information that defines the type of test to be performed for each case may be stored in the storage unit 15. Then, the determination unit 12 may identify a corresponding case based on the environmental information acquired by the acquisition unit 11, and then determine an test to be performed from among multiple types of tests for each test timing based on the identified case and the case-by-case information as shown in Fig. 27.

[0157] The determination unit 12 can output the determined content, i.e., information indicating the type of test to be performed, via a predetermined output device (display, speaker, lamp, projection device, etc.). The output device may be installed, for example, at the testing site, and may be configured to present the predetermined information to the test subject and the manager who manages the test.

[0158] Other configurations of the inspection system 10 of this embodiment are similar to those of the fifth embodiment.

[0159] As described above, the inspection system 10 of this embodiment achieves the same effects as those of the fifth embodiment. Furthermore, the inspection system 10 of this embodiment can perform an inspection suitable for each situation (case) specified by the environmental information. By customizing the contents of the inspection according to the situation at that time, it is possible to eliminate unnecessary inspection. As a result, the efficiency of the inspection is improved and the waiting time for the inspection is shortened.

[0160] Seventh embodiment The testing system 10 of this embodiment differs from the first to sixth embodiments in that the contents of the test are determined for each test timing and for each test subject based on individual specific information and environmental information.

[0161] An example of a functional block diagram of the inspection system 10 of this embodiment is shown in FIG. 3 or FIG.

[0162] In this embodiment, information defining the test contents for each of a plurality of groups for each case is stored in the storage unit 15. Then, the determination unit 12 determines the test contents for each test timing and each test subject based on the information.

[0163] As another example, in this embodiment, information defining the test contents for each of a plurality of test subjects for each case is stored in the storage unit 15. Then, the determination unit 12 determines the test contents for each test timing and each test subject based on the information.

[0164] The inspection details to be determined are those explained in the first to sixth embodiments, such as the details of the baggage inspection and the type of inspection to be performed.

[0165] Other configurations of the inspection system 10 of this embodiment are similar to those of the first to sixth embodiments.

[0166] As described above, the inspection system 10 of this embodiment achieves the same effects as those of the first to sixth embodiments. Furthermore, the inspection system 10 of this embodiment can perform an inspection suitable for each situation and each test subject for each situation (case) specified by the environmental information and for each test subject. By customizing the contents of the inspection according to the situation and test subject at that time, it is possible to eliminate unnecessary inspections. As a result, the inspection becomes more efficient and the waiting time for the inspection is shortened.

[0167] <Modification> Modifications that can be applied to the above-described embodiment will be described below. These modifications also achieve the same effects as the above-described embodiment.

[0168] -First modified example- In FIG. 1, the individual specific information acquired by the individual specific information acquisition device 3 is transmitted to the server 1 via the detection device 2, but the individual specific information acquired by the individual specific information acquisition device 3 may be transmitted to the server 1 without passing through the detection device 2. For example, as shown in FIG. 29, the detection device 2 and the individual specific information acquisition device 3 may be connected in parallel to the server 1. Also, for example, an information collection device that collects information about the testing site may be installed at the testing site. Then, both the detection device 2 and the individual specific information acquisition device 3 may communicate with the server 1 via this information collection device.

[0169] -Second modified example- 28, the inspection system 10 does not need to include the server 1. In this case, the detection device 2 and the individual specific information acquisition device 3 installed at the inspection site realize the acquisition unit 11, the determination unit 12, the detection unit 13, the electromagnetic wave transmission / reception unit 14, and the storage unit 15. Also, the inspection unit 16 is realized by a local device installed at the inspection site. Note that, when the modification is applied to the fifth and sixth embodiments, the inspection system 10 does not need to include the individual specific information acquisition device 3.

[0170] -Third variant- In the above embodiment, the individual specific information acquisition device 3 acquires individual specific information specific to the test subject from the test subject before the detection process is performed by the detection device 2. As a modified example, the individual specific information acquisition device 3 may acquire individual specific information after the detection device 2 transmits and receives electromagnetic waves and before the detection process is performed based on the reflected wave signal. For example, the test result may be determined offline.

[0171] -Fourth Variation- The abnormal state in the above embodiment is a state in which a person in a predetermined area is holding a preset detection object, and the detection unit 13 detects abnormal data (feature value of the detection object) that is undesirable to be included in the reflected wave signal from the reflected wave signal.

[0172] In this modified example, the detector 13 performs a detection process to detect an abnormal state (a state different from the state indicated by the normal data) from within the reflected wave signal, with reference to normal data that is preferably included.

[0173] -Fifth Variation- In the above embodiment, an object that is prohibited from being brought in is set as the detection object. Then, a state in which a person present in a predetermined area is carrying a preset detection object is detected as an abnormal state. In this modified example, an object that the user must have is set as the detection object. For example, a police badge or an object that a person participating in an event is required to carry is set as the detection object in this modified example. Then, in this modified example, a state in which a person present in a predetermined area does not carry a preset detection object is detected as an abnormal state. In this case, based on the attributes of the user in which the abnormal state is detected, it may be determined whether to perform a secondary inspection at that location or later. The attributes of the user may be those estimated from an image, such as gender and age, or may be others.

[0174] An object that is prohibited from being brought in may be set as detection object A, and an object that the user must have may be set as detection object B. In this case, the detection results will be divided into multiple cases, such as "a case where detection object A is detected and detection object B is not detected," "a case where detection object B is detected and detection object A is not detected," "a case where both detection objects A and B are detected," and "a case where neither detection object A nor B is detected." Which case is detected as an abnormal state is a design matter.

[0175] In this specification, "acquisition" includes at least one of the following: "the device itself goes to retrieve data stored in another device or storage medium (active acquisition)" based on user input or based on program instructions, such as receiving data by making a request or inquiry to another device, or accessing another device or storage medium and reading it, and "the device itself inputs data output from another device (passive acquisition)" based on user input or based on program instructions, such as receiving data that is distributed (or transmitted, push notification, etc.), and selecting and acquiring data from among the received data or information, and "editing data (converting it to text, rearranging data, extracting some data, changing the file format, etc.) to generate new data and acquiring the new data."

[0176] A part or all of the above-described embodiments can be described as, but are not limited to, the following supplementary notes. 1. An acquisition means for acquiring material information including at least one of individual specific information specific to each test subject and environmental information indicating an environmental state value that changes at each test timing; A determination means for determining the content of the test for each test subject and / or for each test timing based on the material information; An inspection system having 2. The inspection system described in 1, wherein the determination means determines the content of the possession inspection based on the signal of reflected electromagnetic waves having a wavelength of 30 micrometers or more and 1 meter or less for each person to be inspected or for each inspection timing. 3. The inspection system described in 2, wherein the decision means decides whether or not to carry out the inspection of personal belongings for each person to be inspected or for each inspection timing. 4. The testing system according to 2 or 3, wherein the determination means determines the detection target to be detected for each test subject or for each test timing. 5. An examination system according to any one of 2 to 4, wherein the determination means determines the part of the body to be examined for each person to be examined or for each examination timing. 6. An inspection system described in any one of 2 to 5, wherein the decision means decides, for each person to be inspected or for each inspection timing, whether to execute an inspection method in which the person to be inspected stops temporarily in the area where the electromagnetic waves are irradiated, or an inspection method in which the person passes through the area without stopping temporarily. 7. An inspection system as described in any one of claims 2 to 6, wherein the decision means decides which inspection to perform from among multiple types of inspection, including the baggage inspection, for each person to be inspected or for each inspection timing. 8. A testing system according to any one of 1 to 7, wherein the acquisition means acquires, as the individual-specific information, at least one of information indicating a group to which the test subject belongs and the test history of the test subject for a past period. 9. An inspection system described in any one of 1 to 8, wherein the acquisition means acquires, as the environmental information, information indicating at least one of the following: date and time, day of the week, weather, temperature, congestion at the facility, details of events held at the facility, congestion at the inspection, number of personnel involved in the inspection, and the presence or absence of causes other than the throughput of the inspection that may cause congestion while waiting for the inspection. 10. The computer: Acquire material information including at least one of individual specific information specific to each test subject and environmental information indicating an environmental state value that changes at each test timing; An inspection method in which the content of an inspection is determined for each inspection subject and / or for each inspection timing based on the material information. [Explanation of symbols]

[0177] 1 Server 2. Detection device 3 Personal information acquisition device 10 Inspection System 11 Acquisition Department 12 Decision Section 13 Detection section 14 Electromagnetic wave transmitting and receiving section 15 Storage section 16 Inspection Department 1A Processor 2A Memory 3A Input / Output I / F (Interface) 4A Peripheral circuit 5A Bus

Claims

1. An acquisition means for acquiring material information including at least one of individual specific information specific to each test subject and environmental information indicating an environmental state value that changes at each test timing; A determination means for determining the content of the test for each test subject and / or for each test timing based on the material information; having The determining means is A process of identifying a group to which the test subject belongs based on the individual specific information, identifying a corresponding environmental case based on the environmental information, and determining the content of the test for the identified group in the identified environmental case based on information indicating the content of the test for each group in each of the pre-registered environmental cases; or A process of identifying the test subject based on the individual specific information, specifying a corresponding environmental case based on the environmental information, and determining the content of the test for the identified test subject in the specified environmental case based on information indicating the content of the test for each of the test subjects in each of the pre-registered environmental cases; Inspection system that performs.

2. The inspection system according to claim 1 , wherein the determination means determines the content of the possession inspection based on a signal of a reflected electromagnetic wave having a wavelength of 30 micrometers or more and 1 meter or less for each person to be inspected or for each inspection timing.

3. The inspection system according to claim 2 , wherein the decision unit decides whether or not to carry out the baggage inspection for each person to be inspected or for each inspection timing.

4. 4. The inspection system according to claim 2, wherein the determining unit determines the detection target to be detected for each of the subjects or for each inspection timing.

5. The examination system according to claim 2 , wherein the determining unit determines a body part to be examined for each of the subjects or for each examination timing.

6. The inspection system according to any one of claims 2 to 5, wherein the decision means decides, for each person to be inspected or for each inspection timing, whether to execute an inspection method in which the person to be inspected stops in an area where the electromagnetic waves are irradiated, or an inspection method in which the person passes through the area without stopping.

7. The inspection system according to claim 2 , wherein the decision means decides which inspection to perform from among a plurality of types of inspection including the baggage inspection for each person to be inspected or for each inspection timing.

8. The testing system according to claim 1 , wherein the acquisition means acquires, as the individual-specific information, at least one of information indicating a group to which the test subject belongs and the test history of the test subject over a past period.

9. The inspection system according to any one of claims 1 to 8, wherein the acquisition means acquires as the environmental information at least one of information indicating date and time, day of the week, weather, temperature, congestion at the facility, details of events held at the facility, congestion at the inspection, number of personnel involved in the inspection, and the presence or absence of causes other than inspection throughput that may cause congestion waiting for inspection.

10. The computer Acquire material information including at least one of individual specific information specific to each test subject and environmental information indicating an environmental state value that changes at each test timing; Determine the content of the test for each test subject and / or for each test timing based on the material information; In the process of determining the content of the inspection, A process of identifying a group to which the test subject belongs based on the individual specific information, identifying a corresponding environmental case based on the environmental information, and determining the content of the test for the identified group in the identified environmental case based on information indicating the content of the test for each group in each of the pre-registered environmental cases; or A process of identifying the test subject based on the individual specific information, specifying a corresponding environmental case based on the environmental information, and determining the content of the test for the identified test subject in the specified environmental case based on information indicating the content of the test for each of the test subjects in each of the pre-registered environmental cases; The inspection method to be performed.

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