Passenger guiding system, information processing device, information processing method, and recording medium

Abstract

The present invention realizes a smoother immigration procedure without missing a suspicious visitor. An identification unit acquires identification information for identifying a person to be guided. A calculation unit calculates, on the basis of the behavior of the identified person detected from a captured image in which said person is captured, a risk value indicating the degree of suspiciousness of the person. An output unit outputs guiding information for guiding the person to a manned inspection table when the calculated risk value of the person is equal to or greater than a reference value.

Description

Passenger guide system, information processing device, information processing method, and recording medium

[0001] The present disclosure relates to a passenger guidance system, an information processing device, an information processing method, and a recording medium, and more particularly to a guidance system, an information processing device, an information processing method, and a recording medium for guiding passengers who are going through check-in procedures at an airport or the like.

[0002] Related technologies provide services that simplify and make convenient the entry and exit procedures (e.g., immigration procedures and customs procedures) for travelers (referred to as passengers).

[0003] For example, in the system described in Patent Document 1, when a passenger inputs biometric information (e.g., a fingerprint) into an authentication terminal, the input biometric information is compared with biometric information previously registered in the system. If the passenger's biometric information has not yet been registered in the system, the server device issues a token and assigns a token ID to the passenger. After the token is issued, the passenger can use the boarding procedure that uses biometric information.

[0004] Japanese Patent Application Laid-Open No. 2023-109132

[0005] In order to avoid overlooking suspicious travelers (passengers), such as those attempting to bring prohibited or banned goods into the country, immigration procedures at immigration and customs require a lot of time and manpower.

[0006] The present disclosure has been made in consideration of the above-mentioned problems, and its purpose is to realize smoother immigration procedures without overlooking suspicious travelers.

[0007] A passenger guidance system according to one aspect of the present disclosure comprises an image management server in which photographed images of a person to be guided are stored, a reception machine that accepts input of the person's identification information, and an information processing device, wherein the information processing device acquires the person's identification information acquired by the reception machine, and the image management server calculates a risk value representing the degree of suspiciousness of the person based on the person's behavior detected from the photographed image of the person, and if the calculated risk value of the person is equal to or greater than a reference value, outputs guidance information to guide the person to a manned inspection table.

[0008] An information processing device according to one aspect of the present disclosure includes an acquisition means for acquiring identification information for identifying a person to be guided, a calculation means for calculating a risk value representing the degree of suspiciousness of the person based on the behavior of the person detected from an image of the person about whom the identification information was acquired, and an output means for outputting guidance information for guiding the person to a manned examination table if the calculated risk value of the person is equal to or greater than a reference value.

[0009] In an information processing method according to one aspect of the present disclosure, a computer acquires identification information for identifying a person to be guided, calculates a risk value representing the degree of suspiciousness of the person based on the behavior of the person detected from an image of the person about whom the identification information was acquired, and if the calculated risk value of the person is equal to or greater than a reference value, outputs guidance information for guiding the person to a manned examination table.

[0010] A recording medium according to one aspect of the present disclosure stores a program for causing a computer to execute the following processes: acquiring identification information for identifying a person who is the target of guidance; calculating a risk value representing the degree of suspiciousness of the person based on the behavior of the person about whom the identification information has been acquired, detected from an image of the person; and outputting guidance information for guiding the person to a manned examination table if the calculated risk value of the person is equal to or greater than a reference value.

[0011] According to one aspect of the present disclosure, it is possible to achieve smoother immigration procedures without overlooking suspicious travelers.

[0012] FIG. 1 is a diagram conceptually illustrating an example of a passenger information system according to an embodiment. FIG. 2 is a sequence diagram illustrating the flow of operations of each part of a passenger information system according to an embodiment. FIG. 3 is a block diagram illustrating the configuration of an information processing device according to an embodiment. FIG. 4 is a flowchart illustrating the flow of processing executed by an information processing device according to an embodiment. FIG. 5 is a block diagram illustrating the configuration of an information processing device according to an embodiment. FIG. 6 is a flowchart illustrating the flow of processing executed by an information processing device according to an embodiment. FIG. 7 is a diagram illustrating an example of the hardware configuration of an information processing device according to an embodiment.

[0013] Embodiments of the present disclosure will be described with reference to the drawings.

[0014] [First Embodiment] A first embodiment of the present disclosure will be described with reference to Figures 1 and 2. In the following description, "passenger" means "a person who is the target of guidance (by the passenger guidance system 1 according to the first embodiment)."

[0015] (Passenger Guidance System 1) FIG. 1 is a diagram illustrating the configuration and operation of a passenger guidance system 1 according to the first embodiment.

[0016] 1, the passenger information system 1 includes an information processing device 10 (20), an image management server 200, and an automatic check-in terminal 300 (an example of a reception machine). Here, the "information processing device 10 (20)" refers to "either the information processing device 10 or 20" according to embodiments 2 and 3 described below.

[0017] The information processing device 10 (20), image management server 200, and automatic check-in terminal 300 can communicate with each other via a communication network (not shown) (e.g., a local area network (LAN), a wide area network (WAN), or the Internet). The image management server 200 is also connected to a surveillance camera for communication.

[0018] The image management server 200 stores images captured by cameras installed in airports and other facilities. Images captured by cameras capturing images of passengers within the facility are included among the images stored in the image management server 200. For example, the image management server 200 stores images captured by a surveillance camera capturing images of passengers using the automatic check-in terminals 300.

[0019] Furthermore, the image management server 200 may estimate the behavior pattern of the passenger appearing in the photographed image by analyzing the photographed image. The image management server 200 may associate information indicating the behavior pattern of the passenger detected from the photographed image with the photographed image data.

[0020] The automatic check-in terminal 300 is used by passengers when they check in (check-in procedures). The passenger has the automatic check-in terminal 300 read their passport and inputs their identification information.

[0021] The passenger identification information is, for example, a facial image of the passenger taken by the automatic check-in terminal 300. In another example, the passenger identification information is passport information extracted from the passenger's passport by the automatic check-in terminal 300.

[0022] In yet another example, the passenger identification information is a two-dimensional code scanned from the display screen of the passenger's terminal (e.g., a smartphone) by the automatic check-in terminal 300. In this case, the two-dimensional code is linked to information about the passenger (e.g., the passenger's passport information and facial image) that is pre-registered in the passenger information system 1.

[0023] In this example, the passenger uses application software installed on the passenger's terminal to obtain the two-dimensional code issued by the passenger information system 1 and displays it on the display screen of the passenger's terminal.

[0024] When the automatic check-in terminal 300 reads the two-dimensional code displayed on the display screen of the passenger's terminal (e.g., a smartphone), it transmits the read two-dimensional code to the information processing device 10 (20) as the passenger's identification information.

[0025] The information processing device 10 (20) acquires the passenger's identification information from the automatic check-in terminal 300.

[0026] For example, the information processing device 10 (20) obtains from the image management server 200 an image taken by a surveillance camera of a passenger using the automatic check-in terminal 300. This is because the passenger using the automatic check-in terminal 300 should be the same person as the passenger who inputs identification information into the automatic check-in terminal 300.

[0027] Alternatively, if the passenger identification information acquired by the automatic check-in terminal 300 is a facial image of the passenger, the information processing device 10 (20) can use the facial image of the passenger for matching to acquire an image of the passenger from among the images stored in the image management server 200. Furthermore, the information processing device 10 (20) may acquire, from the image management server 200, information indicating the passenger's behavior pattern detected from the images of the passenger.

[0028] The information processing device 10 (20) then calculates a risk value representing the degree of suspiciousness of the identified passenger (hereinafter simply referred to as "passenger") based on the passenger's behavior detected from the captured image. Alternatively, the information processing device 10 (20) may calculate the risk value based on information about the passenger linked to the passenger's identification information, in addition to the passenger's behavior detected from the captured image.

[0029] For example, the information processing device 10 (20) uses a classifier that has machine-learned specific behavior patterns (types of passenger behavior) and corresponding risk values ​​(classifications) using learning data. When a captured image is input, the trained classifier matches the passenger behavior detected from the captured image with the specific behavior pattern, and outputs a risk value that represents the passenger's degree of suspiciousness. For example, the specific behavior pattern may include looking around, looking back, or staring at a surveillance camera.

[0030] In another example, the information processing device 10 (20) may acquire information indicating a passenger's behavior pattern linked to data of an image of the passenger from the image management server 200. In this case, the information processing device 10 (20) can calculate the passenger's risk value using a correspondence table between passenger behavior patterns and risk values.

[0031] If the calculated risk value of the passenger is equal to or greater than a reference value, the information processing device 10 (20) outputs guidance information for guiding the passenger to a manned inspection station. For example, the guidance information includes information indicating a route to the passenger's destination. The passenger's destination is, for example, an unmanned gate or a manned inspection station at immigration or customs.

[0032] The information processing device 10 (20) transmits guidance information to the automatic check-in terminal 300. The automatic check-in terminal 300 presents the guidance information received from the information processing device 10 (20) to the passenger by displaying and / or audibly transmitting the information.

[0033] In another example, the information processing device 10 (20) transmits guidance information to a preset passenger terminal (e.g., a smartphone).

[0034] (Operation of passenger guidance system 1) The operation of the passenger guidance system 1 according to the first embodiment will be described with reference to Fig. 2. Fig. 2 is a flowchart showing the flow of processing executed by the information processing device 10 (20), the image management server 200, and the automatic check-in terminal 300, which are components of the passenger guidance system 1.

[0035] 2, the automatic check-in terminal 300 acquires the identification information (e.g., passport information, biometric information, two-dimensional code) of the passenger who is going through the check-in procedure (S2011). The automatic check-in terminal 300 transmits the acquired identification information of the passenger to the information processing device 10 (20).

[0036] The information processing device 10 (20) acquires the passenger's identification information from the automatic check-in terminal 300 (S1011). If the acquired passenger's identification information is the passenger's passport information or two-dimensional code, the information processing device 10 (20) acquires the passenger's facial image linked to the passenger's passport information or two-dimensional code from the information about the passenger registered in advance in the passenger information system 1.

[0037] The information processing device 10 (20) transmits the facial image of the passenger to the image management server 200 and requests the image management server 200 to search for photographed images of the passenger (S1012).

[0038] In response to a request from the information processing device 10 (20), the image management server 200 searches a database (not shown) for images of passengers and transmits the search results to the information processing device 10 (20) (S3011, S3012).

[0039] Alternatively, the image management server 200 may transmit images of passengers using the automatic check-in terminal 300 taken by a surveillance camera to the information processing device 10 (20).

[0040] Next, the information processing device 10 (20) calculates a risk value that indicates the degree of suspiciousness of the passenger based on the behavior of the passenger detected from the captured image (S1013).

[0041] Next, the information processing device 10 (20) transmits guidance information to the automatic check-in terminal 300 to guide the passenger to a destination according to the calculated passenger risk value (S1014). More specifically, in step S1014, if the calculated passenger risk value is equal to or greater than a reference value, the information processing device 10 (20) outputs guidance information to guide the passenger to a manned inspection table, and if the calculated passenger risk value is lower than the reference value, it outputs guidance information to guide the passenger to an unmanned gate.

[0042] Note that there may be two or more reference values ​​for the risk value. For example, if the calculated passenger risk value is equal to or greater than a first reference value and lower than a second reference value, the information processing device 10 (20) may output guidance information to guide the passenger to a manned inspection table where a simple inspection is performed without the passenger, whereas if the calculated passenger risk value is equal to or greater than the second reference value, the information processing device 10 (20) may output guidance information to guide the passenger to a manned inspection table where a detailed inspection is performed.

[0043] The automatic check-in terminal 300 guides the passenger based on the guidance information received from the information processing device 10 (20) (S2012). For example, the automatic check-in terminal 300 guides the passenger to one of the multiple gates (FIG. 1) that corresponds to the passenger's risk value calculated by the information processing device 10 (20).

[0044] This completes the operation of the passenger information system 1 according to the first embodiment.

[0045] (Effects of this embodiment) According to the configuration of this embodiment, the image management server 200 stores photographed images of passengers (persons). The automatic check-in terminal 300 (reception machine) acquires identification information of the passengers (persons). The information processing device 10 (20) acquires identification information of the passengers (persons) from the automatic check-in terminal 300 (reception machine). The information processing device 10 (20) calculates a risk value representing the degree of suspiciousness of the passengers (persons) based on the behavior of the passengers (persons) detected from the photographed images of the passengers (persons) stored in the image management server 200. The information processing device 10 (20) outputs guidance information to guide the passengers (persons) to a destination according to the calculated risk value of the passengers (persons).

[0046] Based on the output guidance information, passengers (people) are guided to a destination according to their risk score. More specifically, passengers (people) whose risk score is lower than the standard value are guided to an unmanned gate, while passengers (people) whose risk score is at or above the standard value are guided to a manned inspection table where they undergo detailed inspection. This makes it possible to ensure that suspicious travelers are not overlooked and achieves smoother immigration procedures.

[0047] Second Embodiment A second embodiment of the present disclosure will be described with reference to Figures 3 and 4. In the second embodiment, an example of the configuration and operation of the information processing device 10 described in the first embodiment will be described.

[0048] (Configuration of Information Processing Device 10) Fig. 3 is a block diagram showing the configuration of the information processing device 10 according to embodiment 2. As shown in Fig. 3, the information processing device 10 includes an acquisition unit 11, a calculation unit 12, and an output unit 13.

[0049] The acquisition unit 11 acquires identification information for identifying a passenger (person) acquired by the automatic check-in terminal 300 (FIG. 1). The acquisition unit 11 is an example of an acquisition means.

[0050] For example, the acquisition unit 11 acquires, as the passenger identification information, a facial image of the passenger taken by the automatic check-in terminal 300. In another example, the acquisition unit 11 acquires, as the passenger identification information, passport information extracted from the passenger's passport by the automatic check-in terminal 300.

[0051] In yet another example, the acquisition unit 11 acquires, as passenger identification information, a two-dimensional code scanned from the display screen of the passenger's terminal (e.g., a smartphone) by the automatic check-in terminal 300. This two-dimensional code is linked to information about the passenger (e.g., the passenger's passport information and a facial image of the passenger) that is pre-registered in the passenger information system 1.

[0052] The acquisition unit 11 acquires a facial image of the identified passenger based on the acquired passenger identification information. For example, the acquisition unit 11 uses the passenger identification information to refer to information about the passenger that has been registered in advance in the passenger information system 1, and acquires a facial image of the passenger from the registered information about the passenger. The acquisition unit 11 then outputs the acquired facial image of the passenger to the calculation unit 12. Alternatively, when the acquisition unit 11 acquires a facial image of the passenger as the passenger identification information, the acquisition unit 11 may output the acquired facial image of the passenger itself to the calculation unit 12.

[0053] The calculation unit 12 calculates a risk value that indicates the degree of suspiciousness of an identified passenger (hereinafter simply referred to as "passenger") based on the behavior of the passenger (person) detected from the captured image linked to the passenger. The calculation unit 12 is an example of a calculation means.

[0054] For example, the calculation unit 12 analyzes photographed images of passengers to detect passenger behavior. The calculation unit 12 uses a classifier that has learned through machine learning to associate specific behavior patterns (types of human behavior) with risk values ​​for those behavior patterns, and matches the passenger behavior detected from the photographed images with the specific behavior patterns. As a result, the calculation unit 12 calculates a risk value that indicates the degree of suspiciousness of the passenger.

[0055] In another example, the calculation unit 12 may acquire information indicating passenger behavior patterns linked to captured image data from the image management server 200 ( FIG. 1 ). In this case, the calculation unit 12 can calculate the passenger risk value using a correspondence table indicating the correspondence between specific behavior patterns (types of human behavior) and the risk values ​​of those behavior patterns.

[0056] In yet another example, the calculation unit 12 calculates the risk value of the passenger based on the passenger's emotion. Specifically, the calculation unit 12 first estimates the passenger's emotion from the passenger's behavior detected from the captured image using related image analysis technology. Then, the calculation unit 12 calculates the passenger's risk value based on the estimated passenger's emotion.

[0057] The calculation unit 12 outputs information indicating the passenger risk value calculated in this manner to the output unit 13.

[0058] The output unit 13 outputs guidance information for guiding the passenger (person) to a destination according to the calculated risk value of the passenger (person). The output unit 13 is an example of an output means.

[0059] For example, the output unit 13 transmits the guidance information to the automatic check-in terminal 300 (FIG. 1). The automatic check-in terminal 300 presents the guidance information received from the information processing device 10 to the passenger by display and / or audio. Alternatively, the output unit 13 may cause an in-flight signage (not shown) to present the guidance information by display and / or audio.

[0060] (Operation of Information Processing Apparatus 10) The operation of the information processing apparatus 10 according to the second embodiment will be described with reference to Fig. 4. Fig. 4 is a flowchart showing the operation of the information processing apparatus 10.

[0061] 4, first, the acquisition unit 11 acquires identification information of a passenger (a person to be guided) (S101). The acquisition unit 11 outputs the acquired identification information of the passenger to the calculation unit 12.

[0062] Next, the calculation unit 12 calculates a risk value representing the degree of suspiciousness of the passenger based on the passenger behavior detected from the captured image (S102). The calculation unit 12 outputs information indicating the calculated passenger risk value to the output unit 13.

[0063] Next, the output unit 13 outputs guidance information for guiding the passenger according to the passenger's risk value (S103). More specifically, in step S103, if the calculated passenger's risk value is equal to or greater than a reference value, the output unit 13 outputs guidance information for guiding the passenger to a manned inspection table, whereas if the calculated passenger's risk value is lower than the reference value, the output unit 13 outputs guidance information for guiding the passenger to an unmanned gate.

[0064] For example, output unit 13 transmits guidance information to automatic check-in terminal 300 (FIG. 1). Automatic check-in terminal 300 presents the guidance information received from information processing device 10 to the passenger by display and / or audio.

[0065] This completes the operation of the information processing device 10 according to the second embodiment.

[0066] (Effects of this embodiment) According to the configuration of this embodiment, the acquisition unit 11 acquires identification information for identifying a person to be guided. The calculation unit 12 calculates a risk value representing the degree of suspiciousness of a passenger (person) based on the behavior of the passenger (person) detected from a captured image of the passenger (person). The output unit 13 outputs guidance information for guiding the passenger (person) to a destination according to the calculated risk value of the passenger (person).

[0067] Based on the output guidance information, passengers (people) are guided to a destination according to their risk value. More specifically, passengers (people) whose risk value is lower than the standard value are guided to an unmanned gate, while passengers (people) whose risk value is at or above the standard value are guided to a manned inspection table where they undergo detailed inspection. This makes it possible to ensure that suspicious travelers are not overlooked and achieves smoother immigration procedures.

[0068] 5 and 6, a third embodiment will be described. In the third embodiment, a configuration will be described in which, when the risk value of a passenger (a person who is the target of guidance by the passenger guidance system 1) is higher than a threshold, a notification (alert) is sent to the passenger's destination.

[0069] In the third embodiment, the same components as those in the second embodiment are denoted by the same reference numerals as those in the second embodiment, and the description thereof will be omitted.

[0070] (Configuration of information processing device 20) Fig. 5 is a block diagram showing the configuration of the information processing device 20 according to embodiment 3. As shown in Fig. 5, the information processing device 20 includes an acquisition unit 11, a calculation unit 12, and an output unit 13. Furthermore, the information processing device 20 includes a notification unit 24.

[0071] The notification unit 24 notifies the passenger of the destination when the passenger's risk value is higher than the threshold. The notification unit 24 is an example of a notification means.

[0072] For example, the notification unit 24 receives information indicating the risk value of the passenger from the calculation unit 12. The notification unit 24 transmits the information indicating the risk value of the passenger to the passenger's destination.

[0073] In another example, the notification unit 24 acquires an image of the passenger or information indicating the passenger's behavior pattern linked to the image from the image management server 200 (FIG. 1).The notification unit 24 then transmits the image of the passenger or information indicating the passenger's behavior pattern linked to the image to the passenger's destination.

[0074] (Operation of Information Processing Device 20) The operation of the information processing device 20 according to the third embodiment will be described with reference to Fig. 6. Fig. 6 is a flowchart showing the operation of the information processing device 20.

[0075] 6, first, the acquisition unit 11 acquires identification information of a passenger (a person to be guided) (S201). The acquisition unit 11 outputs the acquired identification information of the passenger to the calculation unit 12.

[0076] Next, the calculation unit 12 calculates a risk value representing the degree of suspiciousness of the passenger based on the behavior of the passenger detected from the captured image of the passenger (S202). The calculation unit 12 outputs information indicating the calculated risk value of the passenger to the output unit 13 and the notification unit 24.

[0077] Next, the output unit 13 outputs guidance information for guiding the passenger according to the passenger's risk value (S203). More specifically, in step S203, if the calculated passenger's risk value is equal to or greater than a reference value, the output unit 13 outputs guidance information for guiding the passenger to a manned inspection table, whereas if the calculated passenger's risk value is lower than the reference value, the output unit 13 outputs guidance information for guiding the passenger to an unmanned gate.

[0078] For example, output unit 13 transmits guidance information to automatic check-in terminal 300 (FIG. 1). Automatic check-in terminal 300 presents the guidance information received from information processing device 10 to the passenger by display and / or audio.

[0079] Finally, the notification unit 24 notifies the passenger's destination (e.g., one of multiple gates) of the image of the passenger or information indicating the passenger's behavior pattern linked to the image (S204).

[0080] This completes the operation of the information processing device 20 according to the third embodiment.

[0081] (Effects of this embodiment) According to the configuration of this embodiment, the acquisition unit 11 acquires identification information for identifying a person to be guided. The calculation unit 12 calculates a risk value representing the degree of suspiciousness of a passenger (person) based on the behavior of the passenger (person) detected from a captured image of the passenger (person). The output unit 13 outputs guidance information for guiding the passenger (person) to a destination according to the calculated risk value of the passenger (person).

[0082] Based on the output guidance information, passengers (people) are guided to a destination according to their risk value. More specifically, passengers (people) whose risk value is lower than the standard value are guided to an unmanned gate, while passengers (people) whose risk value is at or above the standard value are guided to a manned inspection table where they undergo detailed inspection. This makes it possible to ensure that suspicious travelers are not overlooked and achieves smoother immigration procedures.

[0083] Furthermore, according to the configuration of this embodiment, the notification unit 24 notifies the destination of the passenger (person) when the risk value of the passenger (person) is higher than the threshold. This makes it possible to notify the passenger's destination (e.g., a manned inspection station) that a passenger (person) with a high risk value is coming. This allows the passenger's destination to make appropriate preparations to deal with the passenger (person).

[0084] (Hardware Configuration) Each of the components of the information processing devices 10 and 20 described in the first to third embodiments represents a functional block. Some or all of these components are realized by an information processing device such as that shown in Fig. 7. Fig. 7 is a block diagram showing an example of the hardware configuration of the information processing device.

[0085] 7, the computer 110 includes a CPU (Central Processing Unit) 111, a main memory 112, a storage device 113, an input interface 114, a display controller 115, a data reader / writer 116, and a communication interface 117. These components are connected to each other via a bus 121 so as to be able to communicate data with each other. Note that the computer 110 may include a GPU (Graphics Processing Unit) or an FPGA (Field-Programmable Gate Array) in addition to or instead of the CPU 111.

[0086] The CPU 111 loads the program (code) of this embodiment stored in the storage device 113 into the main memory 112 and executes it in a predetermined order to perform various calculations. The main memory 112 is typically a volatile storage device such as a DRAM (Dynamic Random Access Memory). The program of this embodiment is provided in a state stored in a computer-readable recording medium 120. The program of this embodiment may be distributed over the Internet connected via the communication interface 117.

[0087] Specific examples of the storage device 113 include a hard disk drive and a semiconductor storage device such as a flash memory. The input interface 114 mediates data transmission between the CPU 111 and input devices 118 such as a keyboard and a mouse. The display controller 115 is connected to a display device 119 and controls the display on the display device 119.

[0088] The data reader / writer 116 mediates data transmission between the CPU 111 and the recording medium 120, reads programs from the recording medium 120, and writes processing results from the computer 110 to the recording medium 120. The communication interface 117 mediates data transmission between the CPU 111 and other computers.

[0089] Specific examples of the recording medium 120 include general-purpose semiconductor storage devices such as CF (Compact Flash (registered trademark)) and SD (Secure Digital), magnetic recording media such as flexible disks, or optical recording media such as CD-ROMs (Compact Disk Read Only Memory).

[0090] (Supplementary Notes) A ​​part or all of the above-described embodiments can be described as, but are not limited to, the following supplementary notes.

[0091] (Supplementary Note 1) An information processing device comprising: an acquisition means for acquiring identification information for identifying a person who is the target of guidance; a calculation means for calculating a risk value representing the degree of suspiciousness of the person based on the behavior of the person about whom the identification information has been acquired, detected from a photographed image of the person; and an output means for outputting guidance information for guiding the person to a manned examination table when the calculated risk value of the person is equal to or greater than a reference value.

[0092] (Supplementary Note 2) The information processing device according to Supplementary Note 1, wherein the identification information is a facial image of the person.

[0093] (Supplementary Note 3) The information processing device according to Supplementary Note 1, wherein the identification information is passport information extracted from the person's passport.

[0094] (Supplementary Note 4) The information processing device according to Supplementary Note 1, wherein the identification information is a two-dimensional code linked to information about the person.

[0095] (Supplementary Note 5) The information processing device according to Supplementary Note 2, wherein the acquisition means acquires the captured image of the person from among captured images taken by a surveillance camera using the facial image of the person.

[0096] (Appendix 6) The information processing device described in any one of Appendices 1 to 4, characterized in that the calculation means acquires information indicating the behavior pattern of the person linked to the captured image of the person, and calculates a risk value indicating the degree of suspiciousness of the person using the information indicating the behavior pattern of the person.

[0097] (Supplementary Note 7) The information processing device according to any one of Supplementary Notes 1 to 4, wherein the calculation means calculates the risk value of the person based on the emotion of the person in addition to the behavior of the person.

[0098] (Appendix 8) The information processing device described in Appendix 7, characterized in that the calculation means estimates the person's emotions from the behavior of the person detected from the captured image, and calculates the risk value of the person based on the estimated emotion of the person.

[0099] (Supplementary Note 9) The information processing device described in any one of Supplementary Notes 1 to 8, characterized in that the output means outputs guidance information to guide the person to an unmanned gate if the calculated risk value of the person is lower than a reference value.

[0100] (Supplementary Note 10) The information processing device according to any one of Supplementary Notes 1 to 8, wherein the captured image of the person is captured by a reception machine into which the person inputs the identification information.

[0101] (Supplementary Note 11) The information processing device according to Supplementary Note 10, wherein the output means transmits the guidance information for guiding the person to the reception machine.

[0102] (Supplementary Note 12) The information processing device according to any one of Supplementary Notes 1 to 10, wherein the output means transmits the guidance information for guiding the person to a terminal of the person.

[0103] (Supplementary Note 13) The information processing device according to any one of Supplementary Notes 1 to 12, wherein the guidance information includes information indicating a route to the person's destination.

[0104] (Supplementary Note 14) The information processing device according to Supplementary Note 13, wherein the destination of the person is one of a plurality of gates determined according to the risk value of the person.

[0105] (Supplementary Note 15) The information processing device according to any one of Supplementary Notes 1 to 14, further comprising a notification means for notifying a destination of the person when the risk value of the person is higher than a threshold value.

[0106] (Supplementary Note 16) The information processing device according to Supplementary Note 15, wherein the notification means transmits information indicating the risk value of the person to the destination of the person.

[0107] (Supplementary Note 17) The information processing device according to Supplementary Note 15, wherein the notification means transmits information indicating a behavior of the person detected from the captured image to the destination of the person.

[0108] (Supplementary Note 18) A passenger guidance system comprising: an image management server in which photographed images of a person to be guided are stored; a reception machine that accepts input of identification information of the person; and an information processing device, wherein the information processing device acquires the identification information of the person acquired by the reception machine; calculates a risk value representing the degree of suspiciousness of the person in the image management server based on the behavior of the person detected from the photographed image of the person; and outputs guidance information to guide the person to a manned inspection table if the calculated risk value of the person is equal to or greater than a reference value.

[0109] (Supplementary Note 19) An information processing method in which a computer acquires identification information for identifying a person who is the target of guidance, calculates a risk value representing the degree of suspiciousness of the person based on the behavior of the person detected from an image of the person about whom the identification information was acquired, and outputs guidance information for guiding the person to a manned examination table if the calculated risk value of the person is equal to or greater than a reference value.

[0110] (Supplementary Note 20) A non-transitory recording medium storing a program for causing a computer to execute the following processes: a process of acquiring identification information for identifying a person who is the target of guidance; a process of calculating a risk value representing the degree of suspiciousness of the person based on the behavior of the person about whom the identification information has been acquired, detected from a photographed image of the person; and a process of outputting guidance information for guiding the person to a manned examination table when the calculated risk value of the person is equal to or greater than a reference value.

[0111] Note that some or all of the configurations described in Supplementary Notes 2 to 17 that are dependent on Supplementary Note 1 (information processing device) may also be dependent on Supplementary Note 19 (information processing method) and Supplementary Note 20 (program) in the same dependent relationship as Supplementary Note 2 to 17. Furthermore, within the scope of each of the above-mentioned embodiments, some or all of the configurations described as Supplements may be made dependent on various hardware, software, various recording means for recording software, or systems.

[0112] The present disclosure has been described above with reference to several embodiments. However, the present disclosure is not limited to the above embodiments. Each embodiment can be combined with other embodiments as appropriate. Furthermore, various modifications that can be understood by those skilled in the art can be made to the configurations and details of the above embodiments within the scope of the present disclosure.

[0113] The present disclosure can be used, for example, to provide guidance to passengers using automatic check-in terminals at airports.

[0114] REFERENCE SIGNS LIST 1 passenger information system 10 information processing device 11 acquisition unit 12 calculation unit 13 output unit 20 information processing device 24 notification unit 200 image management server 300 automatic check-in terminal

Claims

1. An information processing device comprising: an acquisition means for acquiring identification information for identifying a person who is the target of guidance; a calculation means for calculating a risk value representing the degree of suspiciousness of the person based on the behavior of the person detected from an image of the person about whom the identification information was acquired; and an output means for outputting guidance information for guiding the person to a manned inspection table when the calculated risk value of the person is equal to or greater than a reference value.

2. The information processing device according to claim 1, wherein the identification information is a facial image of the person.

3. The information processing device according to claim 1, wherein the identification information is passport information extracted from the person's passport.

4. The information processing device according to claim 1, characterized in that the identification information is a two-dimensional code linked to information about the person.

5. The information processing device according to claim 2, characterized in that the acquisition means acquires the image of the person from among images captured by a surveillance camera using the facial image of the person.

6. An information processing device as described in any one of claims 1 to 4, characterized in that the calculation means acquires information indicating the behavior pattern of the person linked to the captured image of the person, and calculates a risk value indicating the degree of suspiciousness of the person using the information indicating the behavior pattern of the person.

7. An information processing device according to any one of claims 1 to 4, characterized in that the calculation means calculates the risk value of the person based on the person's emotions in addition to the person's behavior.

8. The information processing device according to claim 7, characterized in that the calculation means estimates the emotion of the person from the behavior of the person detected from the captured image, and calculates the risk value of the person based on the estimated emotion of the person.

9. An information processing device according to any one of claims 1 to 8, characterized in that the output means outputs guidance information for guiding the person to an unmanned gate if the calculated risk value of the person is lower than a reference value.

10. An information processing device according to any one of claims 1 to 8, characterized in that the captured image of the person is captured by a reception machine into which the person inputs the identification information.

11. The information processing device according to claim 10, wherein said output means transmits said guidance information for guiding said person to said reception machine.

12. The information processing device according to any one of claims 1 to 10, characterized in that the output means transmits the guidance information for guiding the person to a terminal of the person.

13. An information processing device according to any one of claims 1 to 12, characterized in that the guidance information includes information indicating a route to the person's destination.

14. The information processing device according to claim 13, wherein the destination of the person is one of a plurality of gates determined according to the risk value of the person.

15. An information processing device according to any one of claims 1 to 14, further comprising a notification means for notifying the destination of the person when the risk value of the person is higher than a threshold value.

16. The information processing device according to claim 15, wherein said notification means transmits information indicating said risk value of said person to said destination of said person.

17. The information processing device according to claim 15, wherein the notification means transmits information indicating the behavior of the person detected from the captured image to the destination of the person.

18. A passenger guidance system comprising: an image management server in which photographed images of a person to be guided are stored; a reception machine that accepts input of the person's identification information; and an information processing device, wherein the information processing device acquires the person's identification information acquired by the reception machine; the image management server calculates a risk value representing the degree of suspiciousness of the person based on the person's behavior detected from the photographed image of the person; and if the calculated risk value of the person is equal to or greater than a reference value, outputs guidance information to guide the person to a manned inspection table.

19. An information processing method in which a computer acquires identification information for identifying a person to be guided, calculates a risk value representing the degree of suspiciousness of the person based on the behavior of the person detected from an image of the person about whom the identification information was acquired, and outputs guidance information to guide the person to a manned examination table if the calculated risk value of the person is equal to or greater than a reference value.

20. A non-transitory recording medium storing a program for causing a computer to execute the following processes: a process for acquiring identification information for identifying a person who is the target of guidance; a process for calculating a risk value representing the degree of suspiciousness of a person based on the behavior of the person detected from an image of the person about whom the identification information has been acquired; and a process for outputting guidance information for guiding the person to a manned examination table if the calculated risk value of the person is equal to or greater than a reference value.

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