The present invention relates to an inspection system and an inspection method.
A technique related to the present invention is disclosed in Patent Document 1 (Japanese Patent Application Publication No. 2020-204513) and Patent Document 2 (Japanese Patent Application Publication No. 2019-106090).
Patent Document 1 discloses a technique for inspecting belongings by using an electrical wave having at least a wave of a wavelength falling between one millimeter to 30 millimeters, the technique detecting a suspicious person having a dangerous object, based on primary screening for roughly inspecting a large number of persons collectively and executing a detailed inspection, based on secondary screening for the detected suspicious person.
Patent Document 2 discloses a technique of including a plurality of types of defect discriminators such as a defect discriminator that detects a defect by focusing on dirt, a defect discriminator that detects a defect by focusing on a scratch, and the like, selecting a defect discriminator according to an attribute of a target object, and executing defect detection processing.
Patent Document 3 (Japanese Patent Application Publication No. 2004-126829) discloses a technique of identifying, based on an image of a visitor, a type of the visitor and determining entrance processing to be executed for each visitor according to the discriminated type. The entrance processing includes notification processing to a reception terminal, notification processing to a security terminal, and the like.
In order to ensure security and the like, a belongings inspection is executed in various places. In a belongings inspection, shortening of a waiting time is expected.
An issue according to the present invention is to shorten a waiting time for a belongings inspection by using a non-conventional method.
According to the present invention,
provided is an inspection system including:
an acquisition means for acquiring target person identification information identifying an inspection target person;
a determination means for determining, based on target person information stored in association with the target person identification information, reference data referred to in an inspection for the inspection target person;
an electromagnetic wave transmission/reception means for emitting an electromagnetic wave having a wavelength of equal to or more than 30 micrometers and equal to or less than one meter, and receiving a reflection wave; and
a detection means for executing, based on a signal of the reflection wave and the reference data, detection processing.
Further, according to the present invention,
provided is an inspection method including:
by a computer,
acquiring target person identification information identifying an inspection target person;
determining, based on target person information stored in association with the target person identification information, reference data referred to in an inspection for the inspection target person;
emitting an electromagnetic wave having a wavelength of equal to or more than 30 micrometers and equal to or less than one meter, and receiving a reflection wave; and
executing, based on a signal of the reflection wave and the reference data, detection processing.
According to the present invention, a waiting time for a belongings inspection can be shortened.
Hereinafter, example embodiments according to the present invention are described by using the accompanying drawings. Note that, in all drawings, a similar component is assigned with a similar reference sign, and description thereof is omitted, as appropriate.
As illustrated in
According to the present example embodiment, a plurality of inspection sites are placed in one facility, and at each inspection site, the detection apparatus 2 and the identification information acquisition apparatus 3 are installed. Then, a multistage belongings inspection is executed for a person coming to a facility at a plurality of inspection sites. It is conceivable that, for example, an inspection site is placed at an entrance of a facility and further an inspection site is placed at an entrance of each of plurality of areas present in the facility.
In this connection, in such a multistage belongings inspection, waste in that the same target object is handled, on an overlapping basis, as a detection target in belongings inspections at a plurality of inspection sites may occur. There is, for example, a case where a belongings inspection of a knife is executed at an inspection site placed at an entrance of a facility and thereafter a belongings inspection of a knife is executed again at another inspection site placed in the facility, and the like.
When an order of inspection sites through which a person passes is fixed, in view of the order, a target object to be detected in a belongings inspection at each inspection site is set, and thereby the waste described above is avoidable. However, when an order of inspection sites through which a person passes may be different with respect to each person, the means is not employable.
Therefore, the inspection system according to the present example embodiment associates a person coming to a facility with identification information for identifying the person differently from another person and registers a target object having been a detection target in a belongings inspection executed for each person, i.e., a target object having been subjected to detection processing. Then, the inspection system determines, based on the registration information, a target object to be detected in a belongings inspection at each inspection site with respect to each person. In other words, a target object to be detected in a belongings inspection at each inspection site is customized, with respect to each user, based on an inspection history so far.
According to the inspection system of the present example embodiment described above, waste in that the same target object is handled, on an overlapping basis, as a detection target unnecessarily in belongings inspections of a plurality of inspection sites can be reduced. As a result, a load on each inspection site is reduced, and a waiting time for a belongings inspection can be shortened.
Next, one example of a hardware configuration of an inspection system 10 is described.
As illustrated in
The bus 5A is a data transmission path where the processor 1A, the memory 2A, the peripheral circuit 4A, and the input/output interface 3A mutually transmit/receive data. The processor 1A is an arithmetic processing apparatus, for example, such as a CPU and a graphics processing unit (GPU). The memory 2A is a memory, for example, such as a random access memory (RAM) and a read only memory (ROM). The input/output interface 3A includes an interface for acquiring information from an input apparatus, an external apparatus, an external server, an external sensor, an electromagnetic wave transmission/reception apparatus, and the like, an interface for outputting information to an output apparatus, an external apparatus, an external server, an electromagnetic wave transmission/reception apparatus, and the like, and the like. The input apparatus is, for example, a keyboard, a mouse, a microphone, and the like. The output apparatus is, for example, a display, a speaker, a printer, a mailer, and the like. The processor 1A issues an instruction to each module, and thereby can perform an arithmetic operation, based on an arithmetic operation result thereof
Next, a function configuration of the inspection system 10 is described.
These function units are included in any one of the server 1, the detection apparatus 2, and the identification information acquisition apparatus 3 in
The storage unit 15 stores target person information. The target person information is information associating target person identification information identifying persons (hereinafter, referred to as “inspection target persons”) coming to a facility differently from each other with an inspection history of each inspection target person.
Target person identification information may be information capable of identifying a plurality of persons differently from each other, and any technique is employable. The target person identification information may be characteristic information provided for each person, for example, such as face information (a face image, a feature value of an appearance extracted from a face image, or the like), fingerprint information, voiceprint information, iris information, and gait information. In addition, the target person identification information may be information generated for each person such as information in which numbers, characters, and the like are arranged, and the like.
An inspection history indicates a content of an inspection executed in a past period for each inspection target person at an inspection site placed in the facility. The inspection history indicates, for example, a target object having been a detection target in a belongings inspection executed for each inspection target person, i.e., a target object having been subjected to detection processing.
A “past period” may be a “current day”, may be a period “from a current time to a time before a predetermined time”, or may be such another period. For example, assuming a case where coming and going in/out of a facility are repeated, a period “from a last entrance timing to a facility to a current time” may be set as a “past period”.
Note that, such target person information is registered by the registration unit 16 to be described below. Details of registration processing based on the registration unit 16 are described later.
When a return is made to
When, for example, target person identification information is face information, iris information, gait information, or the like, the acquisition unit 11 is configured by including an image-capture apparatus such as a camera. Further, when target person identification information is fingerprint information, the acquisition unit 11 is configured by including a fingerprint sensor (fingerprint reading apparatus). Further, when target person identification information is a voiceprint, the acquisition unit 11 is configured by including a microphone. Further, target person identification information is information in which a number, a character, and the like are arranged, the acquisition unit 11 is configured by including an input apparatus such as a near field communication device, a code reader, a touch panel, a keyboard, a physical button, a microphone, and a camera.
The determination unit 12 determines, based on target person information (see
While there are various algorithms for processing of determining, based on an inspection history in a past period of each inspection target person, a detection target object of each inspection target person, one example is described below.
As illustrated in
A detectable target object may be provided, for example, with a priority level. Then, the determination unit 12 may determine, as a detection target object, at least one of detectable target objects being not relevant to an inspected target object in descending order of a priority level.
The number of detection target objects determined at each inspection site may be previously determined. The number of detection target objects to be determined may be the same at all inspection site, or may be different with respect to each inspection site. Further, division into cases is executed based on a time and date, a day of week, weather, a temperature, a congestion situation (for example, recognized by an image acquired by image-capturing a facility) of each inspection site, a content of an event performed in a facility, and the like, and thereby the number of detection target objects determined at a time of being relevant to each case may be previously determined. Then, according to a situation (to what case the situation is relevant) of each timing, the number of detection target objects to be determined may be modified.
In the present example, a target object (hereinafter, referred to as a “required target object”) to be detected in each of belongings inspections of a plurality of inspection sites is previously determined. In order to pass through each inspection site, it is required to confirm that a required target object determined for each inspection site is not carried.
The storage unit 15 stores required inspection information indicating a required target object to be detected in each of belongings inspections of a plurality of inspection sites.
By using
Mr./Ms. A passes through inspection sites in order of the inspection site 1 and the inspection site 2. When the inspection site 1 is passed, “a gun and a knife” being required target objects of the inspection site 1 are determined as detection target objects. And, when the inspection site 2 is passed, detection target objects eliminating “a gun and a knife” having been required target objects at the inspection site 1 among “a gun, a knife, a camera, and the like” being required target objects of the inspection site 2, i.e., “a camera and the like” are determined as detection target objects.
Mr./Ms. B passes through the inspection site 2 without passing through the inspection site 1. When the inspection site 2 is passed, “a gun, a knife, a camera, and the like” being required target objects of the inspection site 2 are determined as detection target objects.
In the present example, the first determination example and the second determination example are combined. By using
Mr./Ms. A passes through inspection sites in order of the inspection site 1, the inspection site 2, and the inspection site 3. When the inspection site 1 is passed, “a gun” having a highest priority level among detectable target objects is determined as a detection target object. Then, when the inspection site 2 is passed, “a knife” having a highest priority level among detectable target objects being not relevant to an inspected target object is determined as a detection target object. Then, when the inspection site 3 is passed, “a plastic bottle” being not relevant to an inspected target object among “a gun, a knife, and a plastic bottle” being required target objects of the inspection site 3 is determined as a detection target object.
Mr./Ms. B passes through inspection sites in order of the inspection site 1, the inspection site 2, and the inspection site 4. When the inspection site 1 is passed, “a gun” having a highest priority level among detectable target objects is determined as a detection target object. Then, when the inspection site 2 is passed, “a knife” having a highest priority level among detectable target objects being not relevant to an inspected target object is determined as a detection target object. Then, when the inspection site 4 is passed, “a smartphone” being not relevant to an inspected target object among “a gun, a knife, and a smartphone” being required target objects of the inspection site 4 is determined as a detection target object.
Mr./Ms. C passes through inspection sites in order of the inspection site 2 and the inspection site 3. When the inspection site 2 is passed, “a gun” having a highest priority level among detectable target objects is determined as a detection target object. Then, when the inspection site 3 is passed, “a knife and a plastic bottle” being not relevant to an inspected target object among “a gun, a knife, and a plastic bottle” being required target objects of the inspection site 3 are determined as detection target objects.
Note that, so far, it has been assumed that a target object inspected once is handled as an inspected target object, but a target object inspected M times (M is an integer of equal to or more than 2) may be handled as an inspected target object. Further, a value of M may be different with respect to each target object. For a target object having a high priority level in detection, for example, such as a gun and a knife, a value of M is set to be large, and thereby repetitive inspections may be executed. And, for a target object having a low priority level in detection, a value of M is set to be small, and thereby overlaps of an inspection may be avoided.
The electromagnetic wave transmission/reception unit 14 emits an electromagnetic wave (e.g., a microwave, a millimeter wave, a terahertz wave, and the like) having a wavelength of equal to or more than 30 micrometers and equal to or less than one meter toward an inspection target person present in a predetermined area, and receives a reflection wave. The electromagnetic wave transmission/reception unit 14 is, for example, a radar. The electromagnetic wave transmission/reception unit 14 can be configured by employing any technique. The electromagnetic wave transmission/reception unit 14 may be, as in an example of
The detection unit 13 determines, based on a signal of a reflection wave received by the electromagnetic wave transmission/reception unit 14, whether an inspection target person present in a predetermined area carries a detection target object determined by the determination unit 12. Hereinafter, one example of determination processing is described.
In the present example, the detection unit 13 generates a transmission image, based on a signal of a reflection wave received by the electromagnetic wave transmission/reception unit 14. Then, the detection unit 13 detects, based on a shape of an object appeared in the transmission image, a detection target object from the transmission image. The detection unit 13 determines, when a detection target object is detected from the transmission image, that an inspection target person present in a predetermined area carries the detected detection target object.
Based on a previous arrangement, a feature value of a shape of each of a plurality of objects is generated and the generated feature value is registered in the inspection system 10. An object in which a feature value of a shape is registered is the above-described “detectable target object”.
The detection unit 13 detects, based on a collation result between a feature value of a shape of a detection target object and a feature value of a shape appeared in a transmission image, a detection target object from the transmission image. Note that, an object being not set as a detection target object among detectable target objects is eliminated from a collation target. These pieces of processing based on the detection unit 13 may be achieved by using an estimation model generated by machine learning based on training data configured by including a transmission image and a label of each of a plurality of objects, or may be achieved based on template matching.
In the present example, the detection unit 13 determines, based on a feature value (reflection wave feature value) appeared in a signal of a reflection wave received by the electromagnetic wave transmission/reception unit 14, whether an inspection target person present in a predetermined area carries a detection target object. The detection unit 13 determines, when a reflection wave feature value unique to a detection target object is detected from the signal of the reflection signal, that the inspection target person present in the predetermined area carries the detected detection target object.
Based on a previous arrangement, a reflection wave feature value of each of a plurality of objects is generated and the generated reflection wave feature value is registered in the inspection system 10. An object in which a reflection wave feature value is registered is the above-described “detectable target object”.
The detection unit 13 detects, based on a collation result between a reflection wave feature value of a detection target object and a feature value appeared in a signal of a reflection wave, a reflection wave feature value unique to a detection target object from the signal of the reflection wave. Note that, an object being not set as a detection target object among detectable target objects is eliminated from a collation target. These pieces of processing based on the detection unit 13 may be achieved by using an estimation model generated by machine learning based on training data configured by including a signal of a reflection wave and a label of each of a plurality of objects, or may be achieved based on template matching.
The detection unit 13 can output a detection result via a predetermined output apparatus (a display, a speaker, a warning lamp, a projection apparatus, or the like). The output apparatus may be installed, for example, at each inspection site and present predetermined information toward an inspection target person and a manager managing an inspection. Further, the detection unit 13 may cause an output pattern of an output apparatus to differ according to a content (whether a detection target object has been detected) of an inspection result. There are various output manners, and any means is employable according to the present example embodiment.
The registration unit 16 acquires target person identification information acquired by the acquisition unit 11. Further, the registration unit 16 acquires information indicating a detection target object determined by the determination unit 12. Then, the registration unit 16 registers, as an inspected target object, a detection target object determined by the determination unit 12 in target person information (see
The registration unit 16 retrieves, for example, target person identification information acquired by the acquisition unit 11 from target person information (see
The registration unit 16 may further register a detection result (whether a detection target object has been detected) based on the detection unit 13 in association with target person identification information of each inspection target person. The information is stored by the storage unit 15.
Next, by using a flowchart in
The inspection system 10 acquires, before a belongings inspection at an inspection site, target person identification information from an inspection target person (S10), and acquires target person information (see
According to the inspection system 10 of the present example embodiment including a plurality of detection apparatuses 2 and being capable of determining a detection target object with respect to each detection apparatus 2, a distributed-type belongings inspection in which a detection target object is different with respect to each detection apparatus 2 is achieved. As a result, a load on each detection apparatus 2 is reduced, and thereby a waiting time for a belongings inspection in each detection apparatus 2 can be shortened.
Further, according to the inspection system 10 of the present example embodiment, in association with identification information identifying a person coming to a facility differently from another person, a target object having been a detection target in a belongings inspection executed for each person, i.e., a target object having been subjected to detection processing can be registered. Then, the inspection system 10 can determine, based on the registration information, with respect to each person, a target object to be detected in a belongings inspection at each inspection site. In other words, a target object to be detected in a belongings inspection at each inspection site can be customized, with respect to each user, based on an inspection history so far.
According to the inspection system 10 of the present example embodiment described above, waste in that the same target object is handled, on an overlapping basis, as a detection target unnecessarily in belongings inspections of a plurality of inspection sites can be reduced. As a result, a load on each inspection site is reduced, and a waiting time for a belongings inspection can be shortened.
The inspection unit 17 executes, for an inspection target person, an inspection other than a belongings inspection (hereinafter, referred to as a “belongings inspection based on a signal of a reflection wave”) based on a signal of a reflection wave of an electromagnetic wave having a wavelength of equal to or more than 30 micrometers and equal to or less than one meter described according to the first example embodiment. The inspection unit 17 can execute, for example, a body temperature inspection for measuring a body temperature of an inspection target person, a belongings inspection by using a metal detector, a belongings inspection by using an odor detector, and the like. These inspections can be achieved by employing any technique. The inspection unit 17 is installed at each of a plurality of inspection sites.
The inspection unit 17 can output an inspection result via a predetermined output apparatus (a display, a speaker, a warning lamp, a projection apparatus, or the like). The output apparatus may be installed, for example, at each inspection site and present predetermined information toward an inspection target person and a manager managing an inspection. Further, the inspection unit 17 may cause an output pattern of an output apparatus to differ according to a content of an inspection result. There are various output manners, and any means is employable according to the present example embodiment.
Target person information according to the present example embodiment indicates, as illustrated in
Then, a determination unit 12 determines, based on target person information (see
While there are various algorithms for processing of determining, based on an inspection history in a past period of each inspection target person, a detection target object of each inspection target person, one example is described below.
Information indicating an inspection (hereinafter, referred to as an “executable inspection”) executable by the inspection unit 17 is previously stored in the storage unit 15. The executable inspection is a belongings inspection based on a signal of a reflection wave, a body temperature inspection, a belongings inspection by using a metal detector, a belongings inspection by using an odor detector, and the like.
In the present example, the determination unit 12 determines, as an inspection to be executed, at least one of executable inspections being not relevant to an executed inspection.
An executable inspection may be provided, for example, with a priority level. Then, the determination unit 12 may determine, as an inspection to be executed, at least one of executable inspections being not relevant to an executed inspection in descending order of a priority level.
The number of inspections determined at each inspection site may be previously determined. The number of inspections to be determined may be the same at all inspection site, or may be different with respect to each inspection site. Further, division into cases is executed based on a time and date, a day of week, weather, a temperature, a congestion situation (for example, recognized by an image acquired by image-capturing a facility) of each inspection site, a content of an event performed in a facility, and the like, and thereby the number of inspections determined at a time of being relevant to each case may be previously determined. Then, according to a situation (to what case the situation is relevant) of each timing, the number of inspections to be determined may be modified.
In the present example, an inspection (hereinafter, referred to as a “required inspection”) to be executed at each of a plurality of inspection sites is previously determined. In order to pass through each inspection site, it is required to pass a required inspection determined for each inspection site.
The storage unit 15 stores required inspection information indicating a required inspection to be executed at each of a plurality of inspection sites.
In the present example, the fourth determination example and the fifth determination example are combined.
Note that, an inspection executed once may be an executed inspection or an inspection executed M times (M is an integer of equal to or more than 2) may be handled as an executed inspection. Further, a value of M may be different with respect to each inspection. For an inspection having high necessity for repetitive executions, for example, such as a belongings inspection, a value of M is set to be large, and thereby repetitive inspections may be executed. And, for an inspection having low necessity for repetitive executions, such as a body temperature inspection, a value of M is set to be small, and thereby overlaps of an inspection may be avoided.
Next, by using a flowchart in
The inspection system 10 acquires, before an inspection at an inspection site, target person identification information from an inspection target person (S20), and acquires target person information (see
Other configurations of the inspection system 10 according to the present example embodiment are similar to that of the first example embodiment.
According to the inspection system 10 of the present example embodiment, advantageous effects similar to the inspection system 10 according to the first example embodiment are achieved.
Further, according to the inspection system 10 of the present example embodiment, a distributed-type inspection in which an inspection content is different with respect to each inspection site is achieved. As a result, a load on each inspection site is reduced, and thereby a waiting time for an inspection at each inspection site can be shortened.
Further, according to the inspection system 10 of the present example embodiment, in association with identification information identifying a person coming to a facility differently from another person, an inspection having been executed for each person, i.e., an executed inspection can be registered. Then, the inspection system 10 can determine, based on the registration information, with respect to each person, an inspection to be executed at each inspection site. In other words, an inspection to be executed at each inspection site can be customized, with respect to each user, based on an inspection history so far.
According to the inspection system 10 of the present example embodiment described above, waste in that the same inspection is executed, on an overlapping basis, unnecessarily at a plurality of inspection sites can be reduced. As a result, a load on each inspection site is reduced, and a waiting time for an inspection can be shortened.
Hereinafter, modified examples applicable to the first and second example embodiments are described. Also in these modified examples, advantageous effects similar to the first and second example embodiments are achieved.
In
As illustrated in
According to the example embodiments described above, reference data are a feature value (a feature value of a shape or a reflection wave feature value) of a detection target object. In other words, reference data are abnormal data inclusion of which is undesirable (data of a target object bringing-in of which is prohibited). Then, the detection unit 13 executes processing of detecting abnormal data determined as reference data from a signal of a reflection wave.
In the present modified example, reference data are normal data inclusion of which is desirable. The determination unit 12 determines, based on target person information, normal data to be referred to in an inspection for each inspection target person. Then, the detection unit 13 executes detection processing of detecting, based on the normal data, an abnormal state (a state different from a state indicated by normal data) from a signal of a reflection wave. Also in such a modified example, advantageous effects similar to the example embodiments described above are achieved.
According to the example embodiments described above, a target object bringing-in of which is prohibited is set as a detection target object. In the present modified example, a target object necessary to be held by a user is set as a detection target object. For example, a badge of a police officer, an object obliged to be carried by a person participating in an event, or the like is a detection target object in the modified example. Then, in the modified example, a user whose detection target object is detected is allowed to pass, and a user whose detection target object is not detected is not allowed to pass.
Note that, a target object bringing-in of which is prohibited may be set as a first detection target object, and a target object necessary to be held by a user may be set as a second detection target object. In this case, detection results are divided into a plurality of cases such as “a case where a first detection target object is detected but a second detection target object is not detected”, “a case where a second detection target object is detected but a first detection target object is not detected”, “a case where both a first detection target object and a second detection target object are detected”, and “a case where neither a first detection target object nor a second detection target object is detected”. What processing is executed for a user at a time of each case is a design matter.
Note that, in the present specification, “acquisition” includes at least any one of a matter that “a local apparatus fetches data stored in another apparatus or a storage medium (active acquisition)”, based on user input or based on an instruction from a program, e.g., a matter that reception is executed by making a request or an inquiry to another apparatus, a matter that reading is executed by accessing to another apparatus or a storage medium, and the like, a matter that “data output from another apparatus are input to a local apparatus (passive acquisition)” based on user input or based on an instruction from a program, e.g., a matter that data distributed (or transmitted, notified on a push basis, or the like) are received and a matter that selective acquisition is executed from among received pieces of data or information, and a matter that “new data are generated by data editing (conversion to text, data rearrangement, partial data extraction, file-format modification, and like) and the new data are acquired”.
The whole or part of the example embodiments described above can be described as, but not limited to, the following supplementary notes.
1. An inspection system including:
an acquisition means for acquiring target person identification information identifying an inspection target person;
a determination means for determining, based on target person information stored in association with the target person identification information, reference data referred to in an inspection for the inspection target person;
an electromagnetic wave transmission/reception means for emitting an electromagnetic wave having a wavelength of equal to or more than 30 micrometers and equal to or less than one meter, and receiving a reflection wave; and
a detection means for executing, based on a signal of the reflection wave and the reference data, detection processing.
2. The inspection system according to supplementary note 1, wherein
the determination means determines a detection target object to be detected in a belongings inspection for the inspection target person, and determines, as the reference data, data relating to the detection target object, and
the detection means executes processing of detecting the detection target object as the detection processing.
3. The inspection system according to supplementary note 2, wherein
a plurality of the electromagnetic wave transmission/reception means each of which is installed at each of a plurality of inspection sites are provided, and the belongings inspection is executed at a plurality of inspection sites,
the target person information indicates an inspected target object being the detection target object in the belongings inspection executed in a past period for the inspection target person, and
the determination means determines, as the detection target object, a target object other than the inspected target object.
4. The inspection system according to supplementary note 3, wherein
the determination means
a registration means for registering, as the inspected target object, the detection target object determined by the determination means in the target person information.
6. The inspection system according to supplementary note 5, wherein
the registration means registers a result of the detection processing in association with the target person identification information.
7. The inspection system according to any one of supplementary notes 2 to 6, further including
an inspection means for executing, for the inspection target person, an inspection other than the belongings inspection based on a signal of the reflection wave, wherein
the determination means determines, based on the target person information, an inspection to be executed for the inspection target person.
8. The inspection system according to supplementary note 7, wherein
a plurality of the inspection means each of which is installed at each of a plurality of inspection sites are provided, and an inspection other than the belongings inspection is executed at a plurality of inspection sites,
the target person information indicates an inspection executed in a past period, and
the determination means determines, as an inspection to be executed for the inspection target person, an inspection other than an inspection executed in the past period.
9. The inspection system according to supplementary note 8, wherein
the determination means
by a computer,
acquiring target person identification information identifying an inspection target person;
determining, based on target person information stored in association with the target person identification information, reference data referred to in an inspection for the inspection target person;
emitting an electromagnetic wave having a wavelength of equal to or more than 30 micrometers and equal to or less than one meter, and receiving a reflection wave; and
executing, based on a signal of the reflection wave and the reference data, detection processing.
Number | Date | Country | Kind |
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2021-045898 | Mar 2021 | JP | national |