Information processing device, information processing method, and program

Abstract

Provided are an information processing device, an information processing method, and a program that allow an inspector to efficiently perform inspections. An information processing device according to the present invention comprises a traveler information acquisition unit that acquires traveler information about a traveler at country entry / exit procedures for the traveler, a generation unit that outputtably generates a risk index that indicates a level of risk for the traveler on the basis of the traveler information and also generates a recommended action that corresponds to the risk index, and a presentation unit that presents the recommended action.

Description

Information processing device, information processing method, and program

[0001] The present disclosure relates to an information processing device, an information processing method, and a program.

[0002] There is a growing need for stricter immigration control at airports and other facilities.

[0003] For example, according to Patent Document 1, a system that supports immigration inspections for foreigners is equipped with a device that reads the information written on a passport and facial images, compares them with a storage device that records issuance information such as blacklists, and displays the results of the comparison.

[0004] According to Patent Document 2, the immigration inspection system receives information on the first inspection, notifies the completion of the reception, verifies the identity of the person, checks whether the person is on the blacklist, records the results, notifies the person of disqualification, and receives information on the second inspection, verifies the identity of the person, and checks whether the first inspection has been conducted.

[0005] According to Patent Document 3, the suspicious person detection device compares the authentication information for the departure and destination of the traveler information recorded on the management server, and determines whether the traveler is suspicious based on the authentication information associated with the reservation information and whether the travel agency information exists on a trust list.

[0006] JP 2005-018178 A JP 2007-179475 A International Publication No. 2021 / 192228

[0007] However, simply making the screening more strict increases the time required for the screening, and there is concern that stricter screening will increase waiting times for screening and cause travelers to accumulate at airports.

[0008] In view of the above-mentioned problems, the present disclosure aims to provide an information processing device and the like for efficiently conducting examinations.

[0009] The information processing device according to the present disclosure includes a passenger information acquisition unit, a generation unit, and a presentation unit. The passenger information acquisition unit acquires passenger information about a passenger during immigration procedures. The generation unit generates a risk index indicating the passenger's level of risk based on the passenger information so that the risk index can be output, and generates recommended actions according to the risk index. The presentation unit presents the recommended actions.

[0010] In the information processing method according to the present disclosure, a computer executes the following processes: the computer acquires passenger information about the passenger during immigration procedures for the passenger; the computer generates a risk index indicating the degree of risk of the passenger based on the passenger information so that the risk index can be output; and generates recommended actions according to the risk index; and the computer presents the recommended actions.

[0011] A program according to the present disclosure causes a computer to execute the following information processing method: The computer acquires passenger information about a passenger during immigration procedures for the passenger; the computer generates a risk index indicating the degree of risk of the passenger based on the passenger information in an outputtable manner, and generates recommended actions according to the risk index; and the computer presents the recommended actions.

[0012] According to the present disclosure, it is possible to provide an information processing device, an information processing method, and a program that enable examiners to efficiently conduct examinations.

[0013] FIG. 1 is a block diagram of an information processing device according to the present disclosure. FIG. 2 is a flowchart of an information processing method according to the present disclosure. FIG. 3 is a second block diagram of an information generating device according to the present disclosure. FIG. 4 is a diagram showing a situation in which an information processing device is used. FIG. 5 is a diagram showing information presented by a presentation unit. FIG. 6 is a third block diagram of an information processing device according to the present disclosure. FIG. 7 is a second flowchart of an information processing method according to the present disclosure. FIG. 8 is a block diagram illustrating a hardware configuration of a computer.

[0014] The present invention will be described below through embodiments of the invention, but the invention according to the claims is not limited to the following embodiments. Furthermore, not all of the configurations described in the embodiments are necessarily essential means for solving the problems. For clarity of explanation, the following description and drawings have been omitted and simplified as appropriate. In each drawing, the same elements are assigned the same reference numerals, and duplicate explanations are omitted as necessary.

[0015] First Embodiment The configuration of an information processing device 10 will be described below with reference to FIG. 1. FIG. 1 is a block diagram of an information processing device according to the present disclosure. The information processing device 10 is used in immigration or embarkation inspections for passengers traveling across borders. The information processing device 10 is, for example, a computer having a CPU (Central Processing Unit). The information processing device 10 mainly includes a passenger information acquisition unit 110, a generation unit 120, and a presentation unit 130.

[0016] The passenger information acquisition unit 110 acquires passenger information about a passenger during immigration procedures. The passenger information is, for example, information written on the passenger's passport. The information written on the passport includes a facial image of the passenger. The information written on the passport also includes the passport number, the passenger's nationality, address, gender, and travel history. The passenger information acquisition unit 110 acquires the information written on the passenger's passport, for example, by reading the passenger's passport with a scanner. The passenger information may include advance passenger information (API). The passenger information may also include a passenger name record (PNR). The passenger information acquisition unit 110 may acquire this information from an airline or a travel agency. The passenger information acquisition unit 110 may also acquire this information from a system such as the Nippon Automated Cargo and Port Consolidated System (NACCS).

[0017] The generation unit 120 generates a passenger risk index based on passenger information so as to be outputtable. The risk index is an index indicating the degree of risk of the passenger. Note that, in the present disclosure, passenger risk refers to the likelihood that the passenger will break the law or become involved in a crime. The risk index is, for example, a quantitative numerical value. The risk index may also represent the degree qualitatively. For example, the generation unit 120 may generate a risk index by inputting passenger information into a predetermined externally provided trained model and receiving the risk index from the trained model. In this case, the trained model is a model that has been trained to output the degree of passenger risk when passenger information is received as input. The generation unit 120 may be configured to include the above-mentioned trained model.

[0018] The generation unit 120 also generates a recommended action according to the risk index. A recommended action in the present disclosure refers to an action that the information processing device 10 recommends among actions that an inspector can take with respect to a passenger. For example, the generation unit 120 generates, as a recommended action, asking a predetermined question to the passenger. The generation unit 120 also generates, as a recommended action, guiding the passenger to a separate inspection. A separate inspection refers to an inspection conducted in a separate inspection room or the like to interrogate the passenger in more detail.

[0019] The presentation unit 130 presents the recommended action generated by the generation unit 120. For example, the presentation unit 130 presents the recommended action by displaying it on a predetermined display. Alternatively, the presentation unit 130 may present the recommended action by outputting the content of the recommended action from a predetermined speaker.

[0020] Next, processing executed by the information processing device 10 will be described with reference to Fig. 2. Fig. 2 is a flowchart of an information processing method according to the present disclosure. The flowchart shown in Fig. 2 is started, for example, when passenger information is sent to the information processing device 10.

[0021] The passenger information acquisition unit 110 acquires passenger information related to a passenger during immigration procedures (step S11). Upon acquiring the passenger information, the passenger information acquisition unit 110 supplies the acquired passenger information to the generation unit 120.

[0022] The generating unit 120 generates a risk index indicating the degree of risk of the passenger based on the passenger information so that the risk index can be output (step S12). When outputting the risk index, the generating unit 120 may supply the generated risk index to the presenting unit 130.

[0023] The generating unit 120 also generates a recommended action according to the risk index (step S13), and supplies the generated recommended action to the presenting unit 130.

[0024] Next, the presentation unit 130 presents the recommended action received from the generation unit 120 (step S14).

[0025] The above describes the information processing method executed by the information processing device 10. By using the above-described method, the information processing device 10 presents recommended actions to the examiner. Therefore, the examiner can perform the presented recommended actions to conduct a prompt and appropriate examination.

[0026] The information processing device 10 may include a processor and a storage device (not shown). The storage device of the information processing device 10 may include a storage device including a nonvolatile memory such as a flash memory or a solid-state drive (SSD). In this case, the storage device of the information processing device 10 stores a computer program (hereinafter simply referred to as a program) for executing the above-described method. The processor also loads the computer program from the storage device into a buffer memory such as a dynamic random access memory (DRAM) and executes the program.

[0027] Each component of the information processing device 10 may be implemented using dedicated hardware. Furthermore, some or all of the components may be implemented using general-purpose or dedicated circuits, processors, or a combination thereof. These may be implemented using a single chip or multiple chips connected via a bus. Some or all of the components of each device may be implemented using a combination of the above-mentioned circuits and programs. Furthermore, a central processing unit (CPU), a graphics processing unit (GPU), a field-programmable gate array (FPGA), or the like may be used as a processor. Furthermore, the processing performed by the information processing device 10 may be provided as software as a service (SaaS). The description of the components described herein may also be applied to other devices or systems described below in this disclosure.

[0028] As described above, according to the present embodiment, it is possible to provide an information processing device, an information processing method, and a program that allow an examiner to efficiently conduct an examination.

[0029] <Embodiment 2> Next, embodiment 2 will be described. Fig. 3 is a block diagram of an information processing device 20. In addition to the above-mentioned configuration, the information processing device 20 has a trained model 121 and a condition setting unit 140. The information processing device 20 is also connected to a data acquisition device 200 so as to be able to communicate with each other.

[0030] In the information processing device 20, the passenger information acquisition unit 110 receives, as passenger information, image data of at least the face of the passenger from the data acquisition device 200. In this case, the generation unit 120 generates a risk index using at least the image data of the passenger.

[0031] The generation unit 120 may acquire data on the stress level of the passenger as passenger information. The data on the stress level of the passenger indicates, for example, the passenger's heart rate or the passenger's blood pressure. The generation unit 120 receives the data on the stress level of the passenger from, for example, the data acquisition device 200. In this case, the data acquisition device 200 measures the passenger's heart rate or the passenger's blood pressure from image data of the passenger photographed at multiple different times.

[0032] The generation unit 120 inputs passenger information into the trained model 121 to obtain a risk index from the trained model 121. The trained model 121 is a trained model that has learned to output a sample risk index when it receives sample passenger information as input by using sample passenger information and a sample risk index as training data. The trained model 121 may be one that has learned to output a recommended action from the sample risk index. In this case, the generation unit 120 further receives a recommended action from the trained model 121.

[0033] The generation unit 120 of the information processing device 20 generates a plurality of risk indexes based on a plurality of perspectives. The generation unit 120 also generates recommended actions based on the plurality of perspectives. In other words, the trained model 121 outputs a plurality of risk indexes based on the plurality of perspectives.

[0034] When the risk index is equal to or greater than a threshold, the generation unit 120 generates at least one of asking the passenger a question about the risk or guiding the passenger to a separate screening as a recommended action. When generating asking a question as a recommended action, the generation unit 120 specifically generates the content of the question. In this case, the generation unit 120 generates a question related to a risk index that is equal to or greater than a threshold among risk indexes based on multiple perspectives. The generation unit 120 may have a large language model (LLM) for generating questions. This allows the generation unit 120 to suitably generate questions related to perspectives that are equal to or greater than the threshold.

[0035] The condition setting unit 140 sets conditions for weighting passenger information when it is used to generate a risk index. Weighting when used to generate a risk index means, for example, increasing the risk index for passengers who satisfy certain conditions. Weighting when used to generate a risk index means, for example, decreasing the risk index for passengers who satisfy certain conditions. Conditions for weighting include, for example, matching certain conditions with respect to certain characteristics in the passenger's appearance, nationality, transit points, address, etc.

[0036] The condition setting unit 140 sets the conditions, and the generation unit 120 generates a risk index that conforms to the set conditions. The conditions and weightings of the condition setting unit 140 are configured to be configurable by the user. This allows the information processing device 20 to present recommended actions that are suitable for the circumstances of each individual user.

[0037] The data acquisition device 200 generates image data of passengers' appearances. The data acquisition device 200 also measures the stress level of the passengers from the image data of the passengers' appearances, and generates data related to the stress level of the passengers from the measurement results. The data acquisition device 200 supplies the image data of the passengers' appearances and data related to the stress level of the passengers to the information processing device 20. The data acquisition device 200 mainly comprises an imaging device 210 and an analysis device 220. The imaging device 210 includes an objective lens and an image sensor, and captures images of passengers. The analysis device 220 measures the stress level of the passengers by analyzing the image data of the images captured by the imaging device 210.

[0038] Next, a situation in which the information processing device 20 is used will be described with reference to Fig. 4. Fig. 4 is a diagram showing a situation in which the information processing device 20 is used. Fig. 4 includes an inspection booth 100, an inspector P1, and a passenger P2.

[0039] The inspection booth 100 is a location where immigration inspection is carried out at an airport. In the inspection booth 100, an inspector P1 inspects a passenger P2 regarding immigration. The inspection booth 100 includes a display 101 and a data acquisition device 200.

[0040] The display 101 displays recommended actions and the like presented by the information processing device 20. The data acquisition device 200 is installed so as to be able to capture an image of the passenger P2, including his or her face. The screening booth 100 may also have a reading device for reading the passport 102 presented by the passenger P2. In this case, the reading device is configured to be able to supply information on the passport 102 to the information processing device 20.

[0041] In the above situation, during immigration inspection of passenger P2, inspector P1 recognizes the information presented on the display 101 by the information processing device 20. If the information processing device 20 presents a recommended action, inspector P1 proceeds with immigration inspection by carrying out the recommended action.

[0042] Next, an example of information presented by the information processing device 20 will be described with reference to Fig. 5. Fig. 5 is a diagram showing information presented by the presentation unit. Fig. 5 shows a display image 103 displayed on the display 101. The display image 103 includes a risk index display 104 and a recommended action display 105.

[0043] The risk index display 104 includes a plurality of items and risk indices corresponding to the items. The items displayed on the risk index display 104 are risk indices based on a plurality of perspectives. Specifically, the risk index display 104 includes "identity risk," "passport validity risk," "visa validity risk," "residence status risk," "travel purpose risk," "carried items risk," "risk of being a person of interest," "agitation score," and "total score."

[0044] Of these, the "identity risk" can be generated by the generation unit 120, for example, from the facial image on the passport and the facial image of passenger P2 captured by the data acquisition device 200. The "passport validity risk" can be generated by the generation unit 120 from information acquired by the passenger information acquisition unit 110 from at least one of passport information, advance passenger information, and passenger reservation records. Similarly, the generation unit 120 generates "visa validity risk," "residence status risk," "travel purpose risk," "carried goods risk," and "suspect person risk" from passenger information. The "agitation score" can be generated by the generation unit 120 from data related to the passenger's stress level supplied by the data acquisition device 200 to the information processing device 20. The "total score" can be generated by the generation unit 120 by comprehensively evaluating the multiple items described above.

[0045] In the example shown in FIG. 5, the "total score" is 30 percent, and among these, the "travel purpose risk" is 40 percent and the "disturbance score" is 30 percent, which are relatively high.

[0046] The recommended action display 105 shows a recommended action generated by the generation unit 120 from the content of the risk index display 104. Based on the content of the risk index display 104, the recommended action display 105 suggests asking oral questions about the "address of the destination," "places to visit during the stay," and "planned date of departure" as a recommended action. The inspector P1 at the inspection booth 100 recognizes the content of the recommended action display 105 and responds to the passenger P2.

[0047] With this configuration, the information processing device 20 can present recommended actions based on objective risk indicators to the immigration inspector P1. Therefore, the immigration inspector P1 using the information processing device 20 can perform an inspection based on objective judgment, regardless of his or her own know-how or judgment skills. If the information processing device 20 presents an oral question as a recommended action, the immigration inspector P1 will ask the passenger P2 an oral question. Depending on the results of the oral questioning, the immigration inspector P1 will decide whether to grant entry permission to the passenger P2 or to conduct a separate inspection.

[0048] The above has described the information processing device 20. According to this embodiment, it is possible to provide an information processing device, an information processing method, and a program that allow an examiner to efficiently perform an examination.

[0049] <Third Embodiment> Next, a third embodiment will be described. Fig. 6 is a block diagram of an information processing system 3 including an information processing device 30. The information processing system 3 mainly includes the information processing device 30, a data acquisition device 200, an input / output device 300, and a notification device 400.

[0050] The information processing device 30 has an input data accepting unit 150 and a notification unit 160. The information processing device 30 is also communicatively connected to a data acquisition device 200, an input / output device 300, and a notification device 400 via a network N1. The network N1 is, for example, an intranet provided in an airport.

[0051] The input data receiving unit 150 receives input data entered by passenger P2. The input data is data received by the input device 320 of the input / output device 300. Specifically, the input data receiving unit 150 receives, as input data, a response from passenger P2 to a question that is a recommended action. The input data receiving unit 150 receives the input data from the input / output device 300 via the network N1. The input data receiving unit 150 supplies the received input data to the generation unit 120.

[0052] The generation unit 120 according to this embodiment generates, as a recommended action, a notification to the notification device 400 when the risk index is equal to or greater than a predetermined threshold (for example, a first threshold). Furthermore, when the risk index is equal to or greater than a second threshold that is smaller than the first threshold, the generation unit 120 generates, as a recommended action, a question about risk to be asked of the passenger. With this configuration, the information processing device 30 presents an appropriate recommended action depending on the level of the risk index.

[0053] The generation unit 120 also generates a risk index and a recommended action according to the input data, which is the response of the passenger P2. This allows the information processing device 30 to appropriately proceed with the inspection according to the response of the passenger P2.

[0054] When the generation unit 120 generates a recommended action of guiding passenger P2 to a separate examination, the notification unit 160 notifies the examiner who will conduct the separate examination of information about passenger P2. When the risk index generated by the generation unit 120 is equal to or greater than a first threshold, the notification unit 160 issues a predetermined notification to the notification device 400. The predetermined notification may, for example, indicate that a separate examination is necessary. The notification unit 160 supplies a notification signal to the notification device 400 via the network N1.

[0055] Next, a description will be given of the input / output device 300. The input / output device 300 is communicably connected to the information processing device 30 via the network N1. The input / output device 300 has an output device 310 and an input device 320 as its main components.

[0056] The output device 310 receives information about the recommended action from the presentation unit 130 of the information processing device 30 and presents the received information about the recommended action to the passenger P2. The output device 310 is, for example, a display that displays the recommended action to the passenger P2. In this case, the recommended action displayed on the display is presented as a message to the passenger P2. For example, if the recommended action is "Question about places to visit during your stay," the generation unit 120 generates a question such as "Please tell me where to visit during your stay." In this case, the display of the output device 310 displays the generated question so that it can be seen by the passenger P2.

[0057] The output device 310 may be a speaker that outputs the recommended action as a voice to the passenger P2. In this case, for example, if the recommended action is "Ask about places to visit during your stay," the speaker outputs the question "Please tell me about places to visit during your stay" generated by the generation unit 120 as a voice.

[0058] The input device 320 accepts the passenger P2's response to the recommended action. The input device 320 is, for example, a microphone. In this case, the microphone picks up the speech of the passenger P2 and supplies the picked-up voice data to the information processing device 30 via the network N1. The input device 320 may be a keyboard capable of inputting characters instead of a microphone. In this case, the keyboard supplies the character data input by the passenger P2 to the information processing device 30.

[0059] Next, the notification device 400 will be described. The notification device 400 issues a predetermined notification to a person in charge of handling passenger P2 who requires a separate examination at immigration or departure inspection. The notification device 400 is, for example, a display device for displaying the notification content. The notification device 400 may be a lamp, a speaker, or the like. The notification device 400 receives a notification signal from the notification unit 160 of the information processing device 30, and performs the above-mentioned notification function in accordance with the received notification signal.

[0060] The above has described the information processing device 30 and the configuration connected to the information processing device 30. With this configuration, the information processing device 30 generates a risk index for passenger P2 and supplies recommended actions based on the generated risk index to the input / output device 300. The information processing device 30 also receives a response from passenger P2 from the input / output device 300. This allows the information processing system 3 including the information processing device 30 to optimally proceed with the screening of passenger P2.

[0061] Next, a process executed by the information processing device 30 in the information processing system 3 will be described with reference to Fig. 7. Fig. 7 is a flowchart of an information processing method executed by the information processing device 30.

[0062] First, the passenger information acquisition unit 110 acquires passenger information about the passenger during immigration procedures (step S31). Next, the generation unit 120 generates a risk index RX based on the passenger information so that it can be output (step S32).

[0063] Next, the generation unit 120 determines whether the generated risk index RX is less than the first threshold value TH1 (step S33). If the generation unit 120 determines that the risk index RX is less than the first threshold value TH1 (step S33: YES), the information processing device 30 proceeds to step S34. If the generation unit 120 does not determine that the risk index RX is less than the first threshold value TH1 (step S33: NO), the risk index of passenger P2 is high enough to require separate screening. In this case, the information processing device 30 transmits a notification signal to the notification device 400 (step S39), and ends the series of processes.

[0064] If the information processing device 30 proceeds to step S34, the generation unit 120 determines whether the generated risk index RX is equal to or greater than the second threshold TH2 (step S34). Note that the second threshold TH2 is lower than the first threshold TH1. If the generation unit 120 determines that the risk index RX is equal to or greater than the second threshold TH2 (step S34: YES), the information processing device 30 proceeds to step S35. If the generation unit 120 does not determine that the risk index RX is equal to or greater than the second threshold TH2 (step S34: NO), the risk of passenger P2 is not high enough to warrant presenting a recommended action. In this case, the information processing device 30 ends the series of processes.

[0065] When the information processing device 30 proceeds to step S35, the generating unit 120 generates a recommended action (step S35). After generating the recommended action, the generating unit 120 supplies the generated recommended action to the presenting unit 130.

[0066] Next, the presentation unit 130 presents the recommended action received from the generation unit 120 to the passenger P2 (step S36). At this time, the presentation unit 130 presents the recommended action to the passenger P2 via the input / output device 300. When the passenger P2 responds to the presentation of the recommended action, the input / output device 300 accepts this response and supplies the accepted response to the information processing device 30.

[0067] Next, the input data receiving unit 150 receives a response from the passenger P2 via the input / output device 300 (step S37). Upon receiving the response, the input data receiving unit 150 supplies the data of the received response to the generation unit 120.

[0068] Next, the generation unit 120 regenerates the risk index RX using the response of passenger P2 received from the input data reception unit 150 (step S38), and returns to step S33. In step S33, the generation unit 120 uses the updated risk index RX to again compare it with the first threshold value TH1.

[0069] The above has described the information processing method executed by the information processing device 30. Through the above processing, when the risk index RX is equal to or greater than the first threshold TH1, the information processing device 30 issues a notification to promptly guide passenger P2 to a separate inspection. Furthermore, when the risk index RX is less than the first threshold TH1 and equal to or greater than the second threshold TH2, the information processing device 30 presents recommended actions to passenger P2. Furthermore, when the risk index RX is less than the second threshold TH2, the information processing device 30 does not present recommended actions for the inspection of passenger P2.

[0070] As described above, the information processing device 30 generates an objective risk index to promote rapid immigration or departure inspection. Therefore, in the information processing system 3, the input / output device 300 can exchange information with the passenger P2 on behalf of the inspector P1 and proceed with the inspection. Note that in the information processing system 3, the inspector P1 shown in FIG. 4 may recognize the recommended action via the input / output device 300 and then execute the recommended action for the passenger P2.

[0071] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0072] Each drawing is merely an example for describing one or more embodiments. Each drawing may not relate to only one particular embodiment, but may also relate to one or more other embodiments. As will be understood by those skilled in the art, various features or steps described with reference to any one drawing can be combined with features or steps shown in one or more other drawings to create, for example, an embodiment not explicitly shown or described. Not all features or steps shown in any one drawing are necessary to describe an exemplary embodiment, and some features or steps may be omitted. The order of steps described in any drawing may be changed as appropriate.

[0073] <Example of Hardware Configuration> Hereinafter, an example will be described in which each functional configuration of an information processing device according to the present disclosure is realized by a combination of hardware and software.

[0074] FIG. 8 is a block diagram illustrating an example of a hardware configuration of a computer. The information processing device of the present disclosure can realize the above-described functions by a computer 500 including the hardware configuration shown in the figure. The computer 500 may be a portable computer such as a smartphone or tablet terminal, or a stationary computer such as a PC. The computer 500 may be a dedicated computer designed to realize each device, or may be a general-purpose computer. The computer 500 can realize desired functions by installing a predetermined application.

[0075] The computer 500 has a bus 502, a processor 504, a memory 506, a storage device 508, an input / output interface (I / F) 510, and a network interface (I / F) 512. The bus 502 is a data transmission path for the processor 504, the memory 506, the storage device 508, the input / output interface 510, and the network interface 512 to transmit and receive data to and from each other. However, the method of connecting the processor 504 and the like to each other is not limited to bus connection.

[0076] The processor 504 is a processor such as a CPU, a GPU, an FPGA, etc. The memory 506 is a main storage device realized using a RAM (Random Access Memory) or the like.

[0077] The storage device 508 is an auxiliary storage device realized using a hard disk, an SSD, a memory card, a ROM (Read Only Memory), etc. The storage device 508 stores programs for realizing desired functions. The processor 504 reads the programs into the memory 506 and executes them to realize the respective functional components of each device.

[0078] The input / output interface 510 is an interface for connecting the computer 500 to input / output devices. For example, an input device such as a keyboard and an output device such as a display device are connected to the input / output interface 510. The network interface 512 is an interface for connecting the computer 500 to a network.

[0079] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0080] Each drawing is merely an example for describing one or more embodiments. Each drawing may not relate to only one particular embodiment, but may also relate to one or more other embodiments. As will be understood by those skilled in the art, various features or steps described with reference to any one drawing can be combined with features or steps shown in one or more other drawings to create, for example, an embodiment not explicitly shown or described. Not all features or steps shown in any one drawing are necessary to describe an exemplary embodiment, and some features or steps may be omitted. The order of steps described in any drawing may be changed as appropriate.

[0081] Some or all of the above embodiments may be described as in the following supplementary notes, but are not limited to the following. (Supplementary Note 1) An information processing device comprising: a passenger information acquisition unit that acquires passenger information about the passenger during immigration procedures for the passenger; a generation unit that generates, in an outputtable manner, a risk index that indicates the degree of risk of the passenger based on the passenger information and generates recommended actions according to the risk index; and a presentation unit that presents the recommended actions. (Supplementary Note 2) The information processing device according to Supplementary Note 1, wherein the passenger information acquisition unit includes image data of at least a face of the passenger, and the generation unit generates the risk index based on at least the image data. (Supplementary Note 3) The information processing device according to Supplementary Note 2, wherein the passenger information acquisition unit acquires, as the passenger information, a stress level of the passenger measured based on the image data at a plurality of different times. (Supplementary Note 4) The information processing device according to Supplementary Note 1, further comprising a condition setting unit that sets conditions for weighting when the passenger information is used to generate the risk index, wherein the generation unit generates the risk index in accordance with the conditions. (Supplementary Note 5) The information processing device according to Supplementary Note 1, wherein the generation unit generates a plurality of the risk indexes in accordance with a plurality of viewpoints, and generates the recommended action in accordance with the plurality of viewpoints. (Supplementary Note 6) The information processing device according to Supplementary Note 5, wherein, when the risk index is equal to or greater than a threshold, the generation unit generates at least one of asking the passenger a question about the risk or guiding the passenger to a separate screening as the recommended action. (Supplementary Note 7) An information processing device as described in Supplementary Note 6, further comprising an input data accepting unit that accepts input data entered by the passenger, wherein the generation unit generates a question regarding the risk to be asked of the passenger as the recommended action when the risk index is equal to or greater than a threshold, the input data accepting unit accepts the passenger's response to the question, and the generation unit generates the risk index and the recommended action according to the response.(Supplementary Note 8) The information processing device according to any one of Supplementary Notes 1 to 7, wherein the generation unit acquires the risk index from a trained model by inputting the passenger information into the trained model, the trained model having learned to output the sample risk index when receiving the sample passenger information as input by using the sample passenger information and a sample risk index as training data. (Supplementary Note 9) The information processing device according to Supplementary Note 6, further comprising a notification unit that, when the generation unit generates guiding the passenger to the separate examination as the recommended action, notifies an inspector conducting the separate examination of information about the passenger. (Supplementary Note 10) An information processing method, wherein a computer acquires passenger information about the passenger during immigration procedures for the passenger, generates a risk index that indicates the degree of risk of the passenger based on the passenger information in a manner that can be output, and generates a recommended action according to the risk index, and presents the recommended action. (Supplementary Note 11) A program that causes a computer to execute an information processing method that acquires passenger information about a passenger during the passenger's immigration procedures, generates a risk index that indicates the degree of risk of the passenger based on the passenger information so that the risk index can be output, generates recommended actions according to the risk index, and presents the recommended actions.

[0082] Some or all of the elements (e.g., configurations and functions) described in Supplementary Notes 2 to 9 that are dependent on Supplementary Note 1 may also be dependent on Supplementary Notes 10 and 11 in the same dependency relationship as Supplementary Notes 2 to 9. Some or all of the elements described in any Supplementary Note may be applied to various hardware, software, recording means for recording software, systems, and methods.

[0083] This application claims priority based on Japanese Patent Application No. 2024-035851, filed March 8, 2024, the disclosure of which is incorporated herein in its entirety by reference.

[0084] 3 Information processing system 10 Information processing device 20 Information processing device 30 Information processing device 100 Inspection booth 101 Display 102 Passport 103 Display image 104 Risk index display 105 Recommended action display 110 Passenger information acquisition unit 120 Generation unit 121 Trained model 130 Presentation unit 140 Condition setting unit 150 Input data reception unit 160 Notification unit 200 Data acquisition device 210 Imaging device 220 Analysis device 300 Input / output device 310 Output device 320 Input device 400 Notification device 500 Computer 502 Bus 504 Processor 506 Memory 508 Storage device 510 Input / output I / F 512 Network I / F N1 Network P1 Inspector P2 Passenger

Claims

1. An information processing device comprising: a passenger information acquisition means for acquiring passenger information regarding the passenger during the passenger's immigration procedures; a generation means for generating an outputtable risk index indicating the degree of risk of the passenger based on the passenger information and for generating recommended actions according to the risk index; and a presentation means for presenting the recommended actions.

2. The information processing device according to claim 1, wherein the passenger information acquisition means includes image data of at least the face of the passenger in the passenger information, and the generation means generates the risk index based on at least the image data.

3. The information processing device according to claim 2, wherein the passenger information acquisition means acquires, as the passenger information, the stress level of the passenger measured based on the image data at a plurality of different times.

4. An information processing device as described in claim 1, further comprising a condition setting means for setting conditions for weighting when using the passenger information to generate the risk index, and the generation means generates the risk index in accordance with the conditions.

5. The information processing device according to claim 1, wherein the generating means generates a plurality of the risk indicators based on a plurality of viewpoints, and generates the recommended actions based on a plurality of the viewpoints.

6. The information processing device of claim 5, wherein the generation means generates, as the recommended action, at least one of asking the passenger a question about the risk or guiding the passenger to a separate inspection when the risk index is equal to or greater than a threshold value.

7. An information processing device as described in claim 6, further comprising an input data accepting means for accepting input data entered by the passenger, wherein the generating means generates a question regarding the risk to be asked of the passenger as the recommended action when the risk index is equal to or greater than a threshold value, the input data accepting means accepts the passenger's response to the question, and the generating means generates the risk index and the recommended action according to the response.

8. An information processing device according to any one of claims 1 to 7, wherein the generation means acquires the risk index from a trained model by inputting the passenger information into the trained model, the trained model having learned to output the sample risk index when receiving the sample passenger information as input by using the sample passenger information and the sample risk index as training data.

9. The information processing device according to claim 6, further comprising a notification means for notifying the inspector conducting the separate inspection of information about the passenger when the generation means generates, as the recommended action, guiding the passenger to the separate inspection.

10. An information processing method in which a computer acquires passenger information about a passenger during immigration procedures, generates a risk index indicating the degree of risk posed by the passenger based on the passenger information in an outputtable manner, generates recommended actions in accordance with the risk index, and presents the recommended actions.

11. A program that causes a computer to execute an information processing method that acquires passenger information about a passenger during the passenger's immigration procedures, generates a risk index that indicates the passenger's level of risk based on the passenger information and is capable of being output, generates recommended actions based on the risk index, and presents the recommended actions.

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