system

Abstract

We provide the system. [Solution] A data processing means for collecting and analyzing passenger movement data, A scanning device for scanning passengers' belongings and detecting suspicious objects, An optimization method for predicting passenger movement patterns and dynamically adjusting the placement and schedule of inspectors, A notification mechanism to notify the analysis results and, if no abnormalities are found, to allow passengers to pass through, A warning mechanism to prompt additional manual inspection if an anomaly is detected, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a persona chatbot control method performed by at least one processor, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】[[ID=DB31]] 【0004】 It is required to reduce congestion during security checks at airports and the accompanying stress of passengers, and to realize an appropriate arrangement of inspectors in charge of the checks. In addition, the problem of a shortage of inspectors due to population decline has become apparent, and means for efficiently and safely conducting inspections with a small number of personnel are necessary. 【Means for Solving the Problems】 【0005】 This invention proposes a system that predicts passenger flow by collecting passenger movement data and information on their belongings in real time and analyzing this data using machine learning algorithms. Specifically, it automatically detects suspicious objects using 3D scanners and metal detectors, and immediately allows passage if the object is normal. Furthermore, by dynamically adjusting the placement and schedule of inspectors, inspections can be carried out efficiently even with a small number of personnel. In this way, congestion reduction and safety improvement are achieved simultaneously. 【0006】 "Passenger" refers to anyone who uses an airport to board an aircraft. 【0007】 "Movement data" refers to information about a passenger's physical movement, specifically including the passenger's travel route, ticket information, and ID information. 【0008】 "Data processing means" refers to functions including hardware and software for collecting movement data and analyzing it within the system. 【0009】 "Personal belongings" refers to all items that passengers bring into the airport, including carry-on luggage, bags, clothing, etc. 【0010】 "Scanning means" refers to equipment such as 3D scanners and metal detectors used to inspect personal belongings. 【0011】 "Suspicious objects" refer to items that may pose a security threat, and include unauthorized metal objects, explosives, and other similar items. 【0012】 "Optimization means" refers to a function that analyzes passenger movement patterns and dynamically adjusts the placement and schedule of inspectors at the appropriate time. 【0013】 "Notification means" refers to the processes and devices used to communicate analysis results to passengers and inspectors in real time. 【0014】 "Warning mechanism" refers to a function that alerts the user to the need for additional manual inspection if an anomaly is detected. [Brief explanation of the drawing] 【0015】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of the data processing device and smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when combined with an emotion engine. 【Embodiments for Carrying Out the Invention】 【0016】 Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0017】 First, the terms used in the following description will be explained. 【0018】 In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0019】 In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0020】 In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like. 【0021】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0022】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0023】 [First Embodiment] 【0024】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0025】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0026】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0027】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0028】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0029】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0030】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0031】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0032】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0033】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0034】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0035】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0036】 The system of the present invention was developed to improve the efficiency of security checks within airports, and its embodiments are described below. 【0037】 The system is primarily composed of three components: servers, terminals, and users. The servers collect passenger movement data from scanners and devices installed at airport traffic gates. This movement data includes passenger ticket information, identification documents, and scanned information about belongings. The servers process this data in real time and predict passenger flow based on the analysis results. Based on these predictions, the system dynamically adjusts the deployment of inspectors and the opening schedule of gates to improve overall efficiency. 【0038】 The terminals are installed at each inspection point in the airport and display analysis results and instructions from the server. Specifically, they provide notifications indicating whether a passenger is allowed to pass. The terminals also have the capability to provide interfaces for 3D scanners and metal detectors, scanning passengers and their belongings. If suspicious objects are detected, a warning is issued, prompting the user to undergo additional manual inspection. 【0039】 Users include passengers and airport staff using this system. Passengers can smoothly pass through security checks using their pre-registered personal data. Based on server analysis, they are immediately permitted to pass if there are no problems. Meanwhile, airport staff follow warnings on their terminals and conduct necessary manual inspections. This coordination allows the system to expedite the inspection process while maintaining security. 【0040】 As a concrete example, when person A arrives at the airport and scans a QR code (registered trademark) at the GATE, the server receives the data and updates the passenger profile. Next, person A's belongings are inspected with a 3D scanner and metal detector, and if there are no problems, the terminal displays a "inspection clear" notification. This notification allows person A to proceed to the next procedure without wasting time. On the other hand, if a suspicious object is detected, the terminal issues a warning, and the user (staff) must conduct a detailed manual inspection of person A. 【0041】 Thus, this invention utilizes digital technology at each stage of security checks, contributing to improved passenger convenience and safety. 【0042】 The following describes the processing flow. 【0043】 Step 1: 【0044】 The server receives passenger ticket information and ID information from the scanners at the traffic gates. This allows it to build a basic profile of the passenger and store it in a database. 【0045】 Step 2: 【0046】 The terminal uses a 3D scanner and metal detector to inspect passengers' belongings. The scanned data is immediately sent to the server. 【0047】 Step 3: 【0048】 The server analyzes the received scan data and uses machine learning algorithms to assess for any suspicious objects. If everything is normal, it proceeds to prepare to grant passengers permission to pass. 【0049】 Step 4: 【0050】 The server notifies the terminal of the analysis results. The terminal then displays a notification to the passenger indicating "Test cleared" or "Further testing required." 【0051】 Step 5: 【0052】 Users (passengers) will follow the notifications on their devices and, if there are no problems, will pass through the security gate. If a suspicious object is detected, they will follow the staff's instructions and undergo an additional manual inspection. 【0053】 Step 6: 【0054】 Based on warnings from the terminal, users (staff) conduct manual baggage checks as needed. Depending on the situation, they feed back the results of the manual checks to the server. 【0055】 Step 7: 【0056】 The server updates its plan for optimizing the next inspection schedule and resources, taking into account past data and current inspection status. This streamlines workflow management for subsequent inspections. 【0057】 (Example 1) 【0058】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0059】 At airport security checkpoints, balancing efficiency and security is a challenge that hinders the smooth passage of passengers. Current systems can be time-consuming, increasing passenger waiting times and potentially degrading the passenger experience. Furthermore, if an anomaly is not detected promptly, the overall security risk of the airport increases. Addressing these challenges is essential to improving the efficiency and security of security checkpoints. 【0060】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0061】 In this invention, the server includes information processing means for collecting and analyzing passenger movement information, inspection means for inspecting passengers' belongings and detecting dangerous items, and adjustment means for predicting passenger movement trends and dynamically adjusting the placement of inspectors and gate opening plans. This makes it possible to improve the efficiency of inspections, ensure safety, and minimize passenger waiting times. 【0062】 "Passenger movement information" refers to information about passengers collected within the airport, including ticket information and authentication information, and other data necessary for passengers to move around. 【0063】 "Information processing means" refers to a series of technologies and devices used to analyze collected movement information and efficiently manage passenger flow. 【0064】 "Means of inspecting personal belongings" refers to devices and technologies used to inspect items brought on board by passengers and determine whether they contain dangerous materials, and includes three-dimensional inspection devices and metal detectors. 【0065】 "Dangerous goods" refer to items that are inappropriate or prohibited for passengers to bring on board for airport security reasons. 【0066】 "Adjustment measures" refer to technologies and devices used to optimize passenger flow and inspector placement, thereby ensuring the smooth progress of the inspection process. 【0067】 A "permission mechanism" is a system that authorizes passengers to pass through a vehicle when, based on analysis results, it is determined that they are safe. 【0068】 "Notification means" refers to technologies and devices used to communicate inspection results and necessary instructions to passengers and airport staff in real time. 【0069】 "Means of cooperation" refer to technologies and devices that enable passengers and airport staff to communicate and cooperate smoothly through a system. 【0070】 The system of the present invention is designed to improve the efficiency of security checks within airports and mainly consists of three elements: a server, a terminal, and a user. 【0071】 The server is responsible for collecting real-time passenger movement information from scanners and various devices installed at the airport. This information includes ticket information, authentication information, and scanned data of personal belongings. The collected data is analyzed within the server using information processing tools to predict passenger movement trends and congestion levels. The results of this analysis are used to dynamically optimize the deployment of inspectors and gate opening schedules. The server also notifies terminals at each inspection point of the analysis results. 【0072】 The terminals are installed at each inspection point within the airport and are responsible for displaying analysis results transmitted from the server, as well as inspecting passengers and their belongings. The terminals include a 3D scanner and a metal detector as means of inspecting belongings, and are used to detect dangerous items as passengers pass through. If a suspicious item is detected, the terminal displays a warning and notifies the user, an airport employee, of an additional manual inspection. 【0073】 The users of this system are passengers and airport staff. Passengers can use their registered travel information to undergo a smooth security check. If no problems are found, the terminal will issue a "permission to pass," allowing passengers to proceed to the next procedure quickly. Meanwhile, airport staff will receive notifications and warnings from the terminal and conduct detailed manual inspections as needed. 【0074】 As a concrete example, generative AI models are being used to ensure smooth passenger handling during security checks. An example of a prompt message is, "Please explain in detail the specific processing steps of the airport security check system." In this way, the system achieves both security maintenance and efficient operation. 【0075】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0076】 Step 1: 【0077】 The server acquires real-time passenger movement information from scanners and devices within the airport. The input data includes ticket information and authentication information. The server records this information in a database and performs necessary preprocessing to prepare the foundation for movement analysis. 【0078】 Step 2: 【0079】 The server analyzes the collected data. Using information processing tools, it applies a data analysis model to predict passenger flow and congestion levels. In this process, pre-processed movement information is used as input, and predictive data of passenger movement patterns is generated as output. This output helps optimize the deployment of inspectors and the opening schedule of gates. 【0080】 Step 3: 【0081】 The server sends the analysis results to the terminal. The transmitted data includes instructions indicating whether the passenger can pass through safely or if additional inspection is required. The terminal receives this as input and displays a notification on its screen. 【0082】 Step 4: 【0083】 The terminal operates a 3D scanning device and a metal detector to inspect passengers and their belongings. As input, it collects scan data of belongings and performs calculations to detect dangerous items through the inspection device. As output, it generates inspection results, which are then used to determine if the items are normal or not. 【0084】 Step 5: 【0085】 Airport staff, acting as users, conduct necessary manual inspections based on notifications from the terminal. If the terminal displays "permission to pass," they guide the passenger to the next step. If a suspicious object is detected, further inspections are conducted, and staff follow the terminal's instructions and take appropriate security measures. 【0086】 (Application Example 1) 【0087】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0088】 Traditional security systems often resulted in lengthy entry and exit times, causing stress for users. Furthermore, their accuracy and speed in detecting suspicious objects were insufficient, leading to security concerns. A system is needed to address these issues and provide efficient and secure entry and exit management. 【0089】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0090】 In this invention, the server includes information processing means for collecting and analyzing user movement data, scanning means for scanning user belongings and detecting suspicious items, and communication means for displaying in real time whether entry is permitted on the user's communication terminal based on notifications from the information processing means. This enables rapid and secure entry and exit management. 【0091】 A "user" is an individual who enters or exits the system or scans their belongings. 【0092】 "Movement data" refers to information that shows the user's location and activity history. 【0093】 An "information processing system" is a computer system used to analyze movement data and make security decisions. 【0094】 A "scanning device" is a device used to inspect a user's belongings and detect suspicious items. 【0095】 A "communication means" is an interface that notifies a user's communication terminal whether or not access is permitted from an information processing means. 【0096】 An "optimization method" is an algorithm for dynamically adjusting the allocation of administrators and timetables. 【0097】 "Notification means" refers to a means of informing users whether or not their entry has been permitted. 【0098】 A "warning mechanism" is a system designed to prompt additional manual inspections when an anomaly is detected. 【0099】 This system achieves rapid and secure access control through information collection, analysis, and notification. Its specific form is described below. 【0100】 The server collects movement data and item scan data provided by users upon entry and exit. This data includes information such as identification codes, location information, and behavioral history. Information processing means on the server analyze this data and evaluate the user's trustworthiness and security issues. Based on this evaluation, a permission or denial instruction is generated. 【0101】 The terminal is equipped with communication capabilities to display the user's access status in real time. Instructions from the server are sent to the user's communication terminal, informing them of their entry / exit permission status. This allows users to pass through the gate quickly. Meanwhile, if suspicious items are detected by the scanning mechanism, a warning is issued, prompting additional manual inspection. 【0102】 As a concrete example, when a user arrives at the building entrance and holds their communication terminal over the device, the system instantly verifies the movement data. The server uses information processing to analyze the user's past behavior history and makes a quick decision on whether to grant entry. The result is notified to the user's mobile device via the communication system. If permission is granted, the user can proceed smoothly into the facility. If permission is denied, a message indicating "manual inspection required" is displayed, and a security officer performs a manual check. 【0103】 Examples of prompt statements provided to the generative AI model are as follows: 【0104】 "Please explain how to design an application that scans QR codes and simplifies the authentication process in real time. Please provide detailed instructions and required technical elements." 【0105】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0106】 Step 1: 【0107】 The server receives movement data and identification codes from the user's communication device. Input includes the user's current location and identification information. To analyze this data, the server compares it against past behavioral history stored in a database and performs data calculations to evaluate the user's trustworthiness. The output is permission or denial information to expedite the user's entry and exit process. 【0108】 Step 2: 【0109】 The terminal receives analysis results sent from the server. It receives security assessment results regarding the user from the server as input. Based on this, it generates a notification to the user's communication terminal indicating whether entry or exit is permitted, providing rapid feedback as output. 【0110】 Step 3: 【0111】 The user determines the appropriate time to enter and exit based on notifications on their device. They receive notifications based on movement data analysis results as input, and if permitted to enter, they pass through the gate according to the normal procedure. The output is the user's stress-free and appropriate passage. 【0112】 Step 4: 【0113】 The terminal uses scanning devices to inspect the user's belongings. It receives scanned data of the user's belongings as input, performs data calculations, and determines whether there are any suspicious items. The output includes a "clear" notification if there are no problems, and a warning message prompting the user to perform a manual inspection if there are problems. 【0114】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0115】 This invention is a system that combines an emotion engine to make airport security check processes more efficient and user-friendly. The core of this system is a function that collects and analyzes passenger movement data and belongings data to detect suspicious objects. Furthermore, by combining it with an emotion engine, it is possible to analyze passengers' emotional states in real time and take necessary actions. 【0116】 The server integrates and analyzes passenger QR code information and identification information obtained from traffic gates, along with scanned item data. Based on the analysis results, it adjusts the placement and schedule of inspectors in real time to optimize passenger flow. Furthermore, by incorporating an emotion engine, the server receives data from facial expression and motion sensors, and understands the emotional state of passengers through analysis of this data. 【0117】 The terminal notifies passengers based on results from the server. In addition to notifying them that the test is clear, it also has a function to provide music and videos to help passengers relax, based on the analysis results of the emotion engine. This helps to alleviate tension and anxiety, improving the overall passenger experience. 【0118】 When users (passengers) pass through the inspection gate, they act based on information provided by the terminal. If there are no problems with the inspection, they proceed as usual, but if anxiety is detected, they can alleviate their anxiety through the presented relaxation elements. 【0119】 As a concrete example, when person B arrives at the airport, their face is captured by the emotion engine's camera. The server verifies person B's ticket information and detects tension from their facial expression. This result is transmitted to the terminal, which, in addition to the normal boarding procedures, provides relaxing music to person B, allowing them to proceed with boarding in a comfortable psychological state. Thus, the present invention is a comprehensive system that not only ensures security but also reduces the psychological burden on passengers. 【0120】 The following describes the processing flow. 【0121】 Step 1: 【0122】 The server receives passenger ticket information and identification information from sensors at the traffic gates. Based on this information, it identifies the passengers and logs the information in the database. 【0123】 Step 2: 【0124】 The server receives data transmitted from the 3D scanner and metal detector of the belongings and uses machine learning algorithms to analyze for the presence of suspicious objects. If no suspicious objects are detected, it prepares to proceed to the next step. 【0125】 Step 3: 【0126】 The terminal displays the analysis results from the server. It then shows the passenger a "check clear" message and prompts them to pass through the gate. 【0127】 Step 4: 【0128】 The server obtains passenger facial expression data from the emotion engine's sensors via the terminal. This data is then analyzed to infer the passenger's emotional state, such as tension or anxiety. 【0129】 Step 5: 【0130】 The terminal plays music and videos designed to relax passengers based on analysis results from its emotion engine. This reduces passenger stress and provides a more comfortable environment. 【0131】 Step 6: 【0132】 Users (passengers) pass through the security gate while experiencing music and videos provided as needed, based on information from their devices. If there are no particular problems, they proceed to the next procedure, but if any suspicious objects are detected, they will undergo an additional manual inspection. 【0133】 Step 7: 【0134】 The user (staff) follows the warning displayed on the terminal and, if necessary, performs a detailed manual inspection of the passenger's belongings. The results of the manual inspection and feedback on the passenger's emotional state are sent to the server to help improve the system in the future. 【0135】 (Example 2) 【0136】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0137】 Modern airport security checks require a high level of safety while minimizing the psychological burden on passengers. However, traditional systems often proceed without considering passengers' emotional states, potentially amplifying their stress and anxiety. Therefore, there is a challenge in balancing the efficiency and accuracy of security checks with an improved passenger experience. 【0138】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0139】 In this invention, the server includes information processing means for collecting and analyzing passenger movement data, detection means for scanning passengers' belongings and detecting suspicious objects, and emotion analysis means for analyzing passengers' emotional states in real time and providing relaxation elements tailored to their psychological state. This makes it possible to improve the accuracy and efficiency of security checks while reducing the psychological burden on passengers. 【0140】 "Information processing means" refers to devices and programs used to collect and analyze passenger movement data. 【0141】 "Detection means" refers to a technology or device used to scan a passenger's belongings and identify any suspicious objects contained therein. 【0142】 An "optimization method" is a technique or system for predicting passenger movement patterns and dynamically adjusting the placement and planning of workers. 【0143】 "Communication means" refers to an interface or protocol that notifies passengers of the analysis results and permits them to pass if there are no abnormalities. 【0144】 An "alarm system" is a warning mechanism used to prompt additional manual inspection when an abnormality is detected. 【0145】 "Emotional analysis means" refers to a technology or system that analyzes passengers' emotional states in real time and provides relaxation elements tailored to their psychological state. 【0146】 A "three-dimensional scanner" is a device that captures an object in three dimensions and analyzes its shape and contents in detail. 【0147】 A "metal detector device" is a device designed to detect the presence of metal and is typically used to identify dangerous items hidden among personal belongings. 【0148】 To implement this invention, an integrated security system is required. At the heart of the system is a server that acquires passenger QR code information and identity verification information collected at airport traffic gates. Specifically, this information is centrally managed using a QR code reader and database management software. The server also has the capability to scan passengers' belongings using a 3D scanner and metal detection devices and perform detailed analysis. This enables the detection of suspicious objects. 【0149】 Furthermore, the server analyzes the collected data through advanced algorithms to understand passenger movement patterns. Simultaneously, it uses emotion analysis technology to analyze passengers' facial expressions and movements through data from cameras and sensors, and employs Python's OpenCV library to understand their emotional state in real time. These analysis results are used to optimize worker placement and automatically adjust schedules. 【0150】 The terminal is used to notify passengers of the analysis results received from the server. For example, it provides appropriate notifications if a passenger can pass security checks without any problems or if further inspection is required. Furthermore, it has a function to provide relaxing music and videos according to the passenger's psychological state. Multimedia software such as VLC media player is used for this purpose. 【0151】 The user (passenger) adjusts their behavior based on instructions from the device. Specifically, they act according to guidelines as needed to ensure the process runs smoothly. For example, if the device analyzes that the passenger is stressed, they will use relaxation techniques provided by the device to reduce their psychological burden. 【0152】 For example, when a passenger arriving at the airport is captured on a camera that performs emotion analysis, the server checks the passenger's information and analyzes their emotional state. Based on this analysis, the terminal plays relaxing music for the passenger to ensure the inspection process proceeds smoothly. This system aims to simultaneously improve security and enhance the passenger experience. 【0153】 Examples of prompts to input into a generative AI model are as follows: 【0154】 "Please explain in detail how airport passenger safety check systems adjust their response based on passenger emotions." 【0155】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0156】 Step 1: 【0157】 The server acquires passenger QR code information and identity verification information as input from sensors and cameras installed near the traffic gates. This creates a digital profile of the passenger, which is then stored in a database. In this process, QR code readers and OCR technology are used to digitize the information, and the data is stored in the database management system. 【0158】 Step 2: 【0159】 The server uses input data from a 3D scanner and metal detection devices to scan passengers' belongings and detect suspicious items. This step involves analyzing the scanned image data and employing pattern recognition techniques to identify items and metal objects that would not normally be carried on board. The detection results are recorded in a database and used in subsequent processes. 【0160】 Step 3: 【0161】 The server uses emotion analysis technology to analyze sensor data related to passengers' facial expressions and movements to understand their emotional state. This input includes real-time video data from cameras. The analysis utilizes the OpenCV library in Python to quantify the passengers' emotional state. The output is this quantified emotion data, which is used as a reference for subsequent procedures. 【0162】 Step 4: 【0163】 The server integrates collected movement data and passenger emotional states to optimize worker placement and scheduling based on real-time conditions. Inputs include passenger flow and current gate usage. A data analysis algorithm is used to calculate the optimal placement plan, and the results are notified to all relevant parties as output. 【0164】 Step 5: 【0165】 The terminal notifies passengers based on analysis results sent from the server. Specifically, various media content is input to provide relaxing music and videos according to the passenger's emotional state. As output, passengers are notified that "the test is clear," and music is played using VLC media player if necessary. 【0166】 Step 6: 【0167】 The user (passenger) receives instructions from the terminal and adjusts their actions accordingly. Input includes visual and auditory information from the terminal. Output is that the passenger can take the necessary actions based on the instructions. Specific actions include using relaxation techniques and smoothly completing boarding procedures based on the instructions. 【0168】 (Application Example 2) 【0169】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0170】 In traditional brick-and-mortar stores, it has been difficult to analyze customer behavior and emotional states in real time and provide personalized experiences, thus limiting the improvement of customer satisfaction. Furthermore, it has been challenging to reduce customer stress and implement optimal security measures. This invention aims to solve these problems and improve the customer experience through the provision of personalized product recommendations and relaxation content. 【0171】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0172】 In this invention, the server includes information processing means for collecting and analyzing crew movement information, inspection means for inspecting crew members' belongings and detecting suspicious items, optimization means for predicting crew movement patterns and dynamically adjusting personnel allocation and schedules, and emotion analysis and content provision means for analyzing crew members' emotional states and providing personalized products and relaxation content. This enables real-time service provision based on the emotional state of customers and optimization of security. 【0173】 "Crew movement information" refers to data regarding the location and movement routes of customers and users within stores and facilities. 【0174】 "Information processing means" refers to a device or system that analyzes collected data and generates instructions or information as needed. 【0175】 "Inspection methods for examining personal belongings" refer to devices and technologies used to examine the belongings of customers or users and identify suspicious objects. 【0176】 A "suspicious item" is an object that does not normally exist under normal usage conditions, or that may potentially threaten safety. 【0177】 An "optimization measure" is a device or method that adjusts the layout and schedule to improve the efficiency of service delivery based on customer movements and congestion levels. 【0178】 "Emotional analysis tools" are devices and technologies that identify emotional states from the facial expressions and behaviors of customers and users, and utilize that information. 【0179】 A "content delivery method" is a system that provides customers and users with product information, relaxing music, videos, and other content based on analysis results. 【0180】 "Security optimization" is the process of improving safety through measures such as detecting suspicious items and efficiently allocating personnel. 【0181】 This system is designed to improve the customer experience in physical stores. The server collects various data, including customer movement information, in real time and analyzes it using information processing tools. When a customer enters the store, smart cameras and facial recognition sensors are used to detect their emotional state, and this information is processed by emotion analysis tools. This allows the server to understand the customer's emotional state and provide appropriate products or relaxing content. 【0182】 The system utilizes smart cameras and in-store sensors as hardware, and emotion recognition algorithms and data analysis programs as software. Music streaming services and video distribution systems are also incorporated. This enables the provision of optimal customer service in real time within the store. 【0183】 The terminal displays relaxing music and videos to the customer based on content transmitted from the server. Customer behavior is continuously monitored, and personalized services are provided based on the analysis results, significantly improving customer satisfaction. 【0184】 As a concrete example, from the moment a customer enters a store, the system analyzes their facial expressions and plays relaxing music appropriate to those expressions. If a customer is feeling stressed, the emotion recognition AI immediately detects this state and provides content that is effective in reducing stress. The generative AI model uses prompts such as, "Design a system that selects the optimal music and video in real time based on the customer's emotional state to effectively promote sales." 【0185】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0186】 Step 1: 【0187】 The server uses smart cameras and facial recognition sensors within the store to acquire customer movement information and facial expression data in real time. This data is used as input to infer emotional states from customer location, movement patterns, and facial expressions. A data analysis program then analyzes movement paths and changes in facial expressions. 【0188】 Step 2: 【0189】 The server inputs the facial expression data acquired in Step 1 into an emotion recognition algorithm to analyze the customer's emotional state. For example, it detects emotions such as surprise, joy, and stress. This analysis is performed by an AI model, and the analysis results are generated. 【0190】 Step 3: 【0191】 Based on the analysis results, the server selects products and relaxation content (music and videos) suitable for the customer. This selection process retrieves content data from music streaming services and video distribution systems, choosing the content best suited to the customer's emotional state. The selected content is then sent to the terminal as output. 【0192】 Step 4: 【0193】 The terminal receives content transmitted from the server and provides it to the customer. It plays relaxing music and videos on the customer's smartphone or in-store display. This operation allows the customer to enjoy a comfortable shopping experience. 【0194】 Step 5: 【0195】 Users (customers) can continue shopping in a comfortable environment using the music and videos being played. The relaxing content presented on the device reduces the customer's psychological burden, thereby increasing their satisfaction. 【0196】 The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data. 【0197】 Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0198】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14. 【0199】 [Second Embodiment] 【0200】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0201】 As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server. 【0202】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0203】 The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52. 【0204】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0205】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0206】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0207】 Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0208】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0209】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0210】 In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0211】 Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0212】 The system of the present invention was developed to improve the efficiency of security checks within airports, and its embodiments are described below. 【0213】 The system is primarily composed of three components: servers, terminals, and users. The servers collect passenger movement data from scanners and devices installed at airport traffic gates. This movement data includes passenger ticket information, identification documents, and scanned information about belongings. The servers process this data in real time and predict passenger flow based on the analysis results. Based on these predictions, the system dynamically adjusts the deployment of inspectors and the opening schedule of gates to improve overall efficiency. 【0214】 The terminals are installed at each inspection point in the airport and display analysis results and instructions from the server. Specifically, they provide notifications indicating whether a passenger is allowed to pass. The terminals also have the capability to provide interfaces for 3D scanners and metal detectors, scanning passengers and their belongings. If suspicious objects are detected, a warning is issued, prompting the user to undergo additional manual inspection. 【0215】 Users include passengers and airport staff using this system. Passengers can smoothly pass through security checks using their pre-registered personal data. Based on server analysis, they are immediately permitted to pass if there are no problems. Meanwhile, airport staff follow warnings on their terminals and conduct necessary manual inspections. This coordination allows the system to expedite the inspection process while maintaining security. 【0216】 As a concrete example, when person A arrives at the airport and scans a QR code at the gate, the server receives the data and updates the passenger profile. Next, person A's belongings are inspected with a 3D scanner and metal detector, and if there are no problems, the terminal displays a "inspection cleared" notification. This notification allows person A to proceed to the next procedure without wasting time. On the other hand, if a suspicious object is detected, the terminal issues a warning, and the user (staff) must conduct a detailed manual inspection of person A. 【0217】 Thus, this invention utilizes digital technology at each stage of security checks, contributing to improved passenger convenience and safety. 【0218】 The following describes the processing flow. 【0219】 Step 1: 【0220】 The server receives passenger ticket information and ID information from the scanners at the traffic gates. This allows it to build a basic profile of the passenger and store it in a database. 【0221】 Step 2: 【0222】 The terminal uses a 3D scanner and metal detector to inspect passengers' belongings. The scanned data is immediately sent to the server. 【0223】 Step 3: 【0224】 The server analyzes the received scan data and uses machine learning algorithms to assess for any suspicious objects. If everything is normal, it proceeds to prepare to grant passengers permission to pass. 【0225】 Step 4: 【0226】 The server notifies the terminal of the analysis results. The terminal then displays a notification to the passenger indicating "Test cleared" or "Further testing required." 【0227】 Step 5: 【0228】 Users (passengers) will follow the notifications on their devices and, if there are no problems, will pass through the security gate. If a suspicious object is detected, they will follow the staff's instructions and undergo an additional manual inspection. 【0229】 Step 6: 【0230】 Based on warnings from the terminal, users (staff) conduct manual baggage checks as needed. Depending on the situation, they feed back the results of the manual checks to the server. 【0231】 Step 7: 【0232】 The server updates its plan for optimizing the next inspection schedule and resources, taking into account past data and current inspection status. This streamlines workflow management for subsequent inspections. 【0233】 (Example 1) 【0234】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0235】 At airport security checkpoints, balancing efficiency and security is a challenge that hinders the smooth passage of passengers. Current systems can be time-consuming, increasing passenger waiting times and potentially degrading the passenger experience. Furthermore, if an anomaly is not detected promptly, the overall security risk of the airport increases. Addressing these challenges is essential to improving the efficiency and security of security checkpoints. 【0236】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0237】 In this invention, the server includes information processing means for collecting and analyzing passenger movement information, inspection means for inspecting passengers' belongings and detecting dangerous items, and adjustment means for predicting passenger movement trends and dynamically adjusting the placement of inspectors and gate opening plans. This makes it possible to improve the efficiency of inspections, ensure safety, and minimize passenger waiting times. 【0238】 "Passenger movement information" refers to information about passengers collected within the airport, including ticket information and authentication information, and other data necessary for passengers to move around. 【0239】 "Information processing means" refers to a series of technologies and devices used to analyze collected movement information and efficiently manage passenger flow. 【0240】 "Means of inspecting personal belongings" refers to devices and technologies used to inspect items brought on board by passengers and determine whether they contain dangerous materials, and includes three-dimensional inspection devices and metal detectors. 【0241】 "Dangerous goods" refer to items that are inappropriate or prohibited for passengers to bring on board for airport security reasons. 【0242】 "Adjustment measures" refer to technologies and devices used to optimize passenger flow and inspector placement, thereby ensuring the smooth progress of the inspection process. 【0243】 A "permission mechanism" is a system that authorizes passengers to pass through a vehicle when, based on analysis results, it is determined that they are safe. 【0244】 "Notification means" refers to technologies and devices used to communicate inspection results and necessary instructions to passengers and airport staff in real time. 【0245】 "Means of cooperation" refer to technologies and devices that enable passengers and airport staff to communicate and cooperate smoothly through a system. 【0246】 The system of the present invention is designed to improve the efficiency of security checks within airports and mainly consists of three elements: a server, a terminal, and a user. 【0247】 The server is responsible for collecting real-time passenger movement information from scanners and various devices installed at the airport. This information includes ticket information, authentication information, and scanned data of personal belongings. The collected data is analyzed within the server using information processing tools to predict passenger movement trends and congestion levels. The results of this analysis are used to dynamically optimize the deployment of inspectors and gate opening schedules. The server also notifies terminals at each inspection point of the analysis results. 【0248】 The terminals are installed at each inspection point within the airport and are responsible for displaying analysis results transmitted from the server, as well as inspecting passengers and their belongings. The terminals include a 3D scanner and a metal detector as means of inspecting belongings, and are used to detect dangerous items as passengers pass through. If a suspicious item is detected, the terminal displays a warning and notifies the user, an airport employee, of an additional manual inspection. 【0249】 The users of this system are passengers and airport staff. Passengers can use their registered travel information to undergo a smooth security check. If no problems are found, the terminal will issue a "permission to pass," allowing passengers to proceed to the next procedure quickly. Meanwhile, airport staff will receive notifications and warnings from the terminal and conduct detailed manual inspections as needed. 【0250】 As a concrete example, generative AI models are being used to ensure smooth passenger handling during security checks. An example of a prompt message is, "Please explain in detail the specific processing steps of the airport security check system." In this way, the system achieves both security maintenance and efficient operation. 【0251】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0252】 Step 1: 【0253】 The server acquires real-time passenger movement information from scanners and devices within the airport. The input data includes ticket information and authentication information. The server records this information in a database and performs necessary preprocessing to prepare the foundation for movement analysis. 【0254】 Step 2: 【0255】 The server analyzes the collected data. Using information processing tools, it applies a data analysis model to predict passenger flow and congestion levels. In this process, pre-processed movement information is used as input, and predictive data of passenger movement patterns is generated as output. This output helps optimize the deployment of inspectors and the opening schedule of gates. 【0256】 Step 3: 【0257】 The server sends the analysis results to the terminal. The transmitted data includes instructions indicating whether the passenger can pass through safely or if additional inspection is required. The terminal receives this as input and displays a notification on its screen. 【0258】 Step 4: 【0259】 The terminal operates a 3D scanning device and a metal detector to inspect passengers and their belongings. As input, it collects scan data of belongings and performs calculations to detect dangerous items through the inspection device. As output, it generates inspection results, which are then used to determine if the items are normal or not. 【0260】 Step 5: 【0261】 Airport staff, acting as users, conduct necessary manual inspections based on notifications from the terminal. If the terminal displays "permission to pass," they guide the passenger to the next step. If a suspicious object is detected, further inspections are conducted, and staff follow the terminal's instructions and take appropriate security measures. 【0262】 (Application Example 1) 【0263】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0264】 Traditional security systems often resulted in lengthy entry and exit times, causing stress for users. Furthermore, their accuracy and speed in detecting suspicious objects were insufficient, leading to security concerns. A system is needed to address these issues and provide efficient and secure entry and exit management. 【0265】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0266】 In this invention, the server includes information processing means for collecting and analyzing user movement data, scanning means for scanning user belongings and detecting suspicious items, and communication means for displaying in real time whether entry is permitted on the user's communication terminal based on notifications from the information processing means. This enables rapid and secure entry and exit management. 【0267】 A "user" is an individual who enters or exits the system or scans their belongings. 【0268】 "Movement data" refers to information that shows the user's location and activity history. 【0269】 An "information processing system" is a computer system used to analyze movement data and make security decisions. 【0270】 A "scanning device" is a device used to inspect a user's belongings and detect suspicious items. 【0271】 A "communication means" is an interface that notifies a user's communication terminal whether or not access is permitted from an information processing means. 【0272】 An "optimization method" is an algorithm for dynamically adjusting the allocation of administrators and timetables. 【0273】 "Notification means" refers to a means of informing users whether or not their entry has been permitted. 【0274】 A "warning mechanism" is a system designed to prompt additional manual inspections when an anomaly is detected. 【0275】 This system achieves rapid and secure access control through information collection, analysis, and notification. Its specific form is described below. 【0276】 The server collects movement data and item scan data provided by users upon entry and exit. This data includes information such as identification codes, location information, and behavioral history. Information processing means on the server analyze this data and evaluate the user's trustworthiness and security issues. Based on this evaluation, a permission or denial instruction is generated. 【0277】 The terminal is equipped with communication capabilities to display the user's access status in real time. Instructions from the server are sent to the user's communication terminal, informing them of their entry / exit permission status. This allows users to pass through the gate quickly. Meanwhile, if suspicious items are detected by the scanning mechanism, a warning is issued, prompting additional manual inspection. 【0278】 As a concrete example, when a user arrives at the building entrance and holds their communication terminal over the device, the system instantly verifies the movement data. The server uses information processing to analyze the user's past behavior history and makes a quick decision on whether to grant entry. The result is notified to the user's mobile device via the communication system. If permission is granted, the user can proceed smoothly into the facility. If permission is denied, a message indicating "manual inspection required" is displayed, and a security officer performs a manual check. 【0279】 Examples of prompt statements provided to the generative AI model are as follows: 【0280】 "Please explain how to design an application that scans QR codes and simplifies the authentication process in real time. Please provide detailed instructions and required technical elements." 【0281】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0282】 Step 1: 【0283】 The server receives movement data and an identification code from the user's communication terminal. The input includes the user's current location information and identification information. To analyze these data, it performs a data calculation that compares with the past behavior history stored in the database to evaluate the user's reliability. The output is permission or rejection information for the user to quickly proceed with the entry / exit process. 【0284】 Step 2: 【0285】 The terminal receives the analysis result sent from the server. As input, it receives the security evaluation result regarding the user from the server. Based on this, it generates a notification to display whether entry / exit is permitted for the user's communication terminal, and provides quick feedback as output. 【0286】 Step 3: 【0287】 The user determines the time for entry / exit according to the terminal's notification. As input, it receives a notification based on the movement data analysis result. If entry is permitted, it passes through the gate according to the normal procedure. The output is the user's behavior of passing appropriately without stress. 【0288】 Step 4: 【0289】 The terminal inspects the user's belongings using scanning means. As input, it receives the scan data of the user's belongings, performs a data calculation to determine the presence of suspicious items. The output includes a "clear" notification when there is no problem, and a warning display prompting the user for manual inspection when there is a problem. 【0290】 Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion specific model 59 and perform specific processing using the user's emotion. 【0291】 This invention is a system that combines an emotion engine to make airport security check processes more efficient and user-friendly. The core of this system is a function that collects and analyzes passenger movement data and belongings data to detect suspicious objects. Furthermore, by combining it with an emotion engine, it is possible to analyze passengers' emotional states in real time and take necessary actions. 【0292】 The server integrates and analyzes passenger QR code information and identification information obtained from traffic gates, along with scanned item data. Based on the analysis results, it adjusts the placement and schedule of inspectors in real time to optimize passenger flow. Furthermore, by incorporating an emotion engine, the server receives data from facial expression and motion sensors, and understands the emotional state of passengers through analysis of this data. 【0293】 The terminal notifies passengers based on results from the server. In addition to notifying them that the test is clear, it also has a function to provide music and videos to help passengers relax, based on the analysis results of the emotion engine. This helps to alleviate tension and anxiety, improving the overall passenger experience. 【0294】 When users (passengers) pass through the inspection gate, they act based on information provided by the terminal. If there are no problems with the inspection, they proceed as usual, but if anxiety is detected, they can alleviate their anxiety through the presented relaxation elements. 【0295】 As a concrete example, when person B arrives at the airport, their face is captured by the emotion engine's camera. The server verifies person B's ticket information and detects tension from their facial expression. This result is transmitted to the terminal, which, in addition to the normal boarding procedures, provides relaxing music to person B, allowing them to proceed with boarding in a comfortable psychological state. Thus, the present invention is a comprehensive system that not only ensures security but also reduces the psychological burden on passengers. 【0296】 The following describes the processing flow. 【0297】 Step 1: 【0298】 The server receives the passenger's ticket information and identity certificate information from the sensors of the traffic gate. Based on this information, the server identifies the passenger and records a log in the database. 【0299】 Step 2: 【0300】 The server receives the data transmitted from the 3D scanner and metal detector of the luggage, and analyzes the presence or absence of suspicious items using a machine learning algorithm. If no suspicious item is detected, preparations are made to proceed to the next step. 【0301】 Step 3: 【0302】 The terminal displays the analysis result from the server. A message of "Inspection Clear" is displayed to the passenger to prompt passage through the gate. 【0303】 Step 4: 【0304】 The server obtains the facial expression data of the passenger from the sensors of the emotion engine via the terminal. This data is analyzed to infer the passenger's emotional state, such as tension or anxiety. 【0305】 Step 5: 【0306】 Based on the analysis result from the emotion engine, the terminal plays music or videos to relax the passenger. This reduces the passenger's stress and provides a more comfortable environment. 【0307】 Step 6: 【0308】 The user (passenger) passes through the security gate while experiencing the provided music or videos based on the information from the terminal as needed. If there are no particular problems, proceed to the next procedure, but if a suspicious item is detected, an additional manual inspection will be required. 【0309】 Step 7: 【0310】 The user (staff) follows the warning displayed on the terminal and, if necessary, performs a detailed manual inspection of the passenger's belongings. The results of the manual inspection and feedback on the passenger's emotional state are sent to the server to help improve the system in the future. 【0311】 (Example 2) 【0312】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0313】 Modern airport security checks require a high level of safety while minimizing the psychological burden on passengers. However, traditional systems often proceed without considering passengers' emotional states, potentially amplifying their stress and anxiety. Therefore, there is a challenge in balancing the efficiency and accuracy of security checks with an improved passenger experience. 【0314】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0315】 In this invention, the server includes information processing means for collecting and analyzing passenger movement data, detection means for scanning passengers' belongings and detecting suspicious objects, and emotion analysis means for analyzing passengers' emotional states in real time and providing relaxation elements tailored to their psychological state. This makes it possible to improve the accuracy and efficiency of security checks while reducing the psychological burden on passengers. 【0316】 "Information processing means" refers to devices and programs used to collect and analyze passenger movement data. 【0317】 "Detection means" refers to a technology or device used to scan a passenger's belongings and identify any suspicious objects contained therein. 【0318】 An "optimization method" is a technique or system for predicting passenger movement patterns and dynamically adjusting the placement and planning of workers. 【0319】 "Communication means" refers to an interface or protocol that notifies passengers of the analysis results and permits them to pass if there are no abnormalities. 【0320】 An "alarm system" is a warning mechanism used to prompt additional manual inspection when an abnormality is detected. 【0321】 "Emotional analysis means" refers to a technology or system that analyzes passengers' emotional states in real time and provides relaxation elements tailored to their psychological state. 【0322】 A "three-dimensional scanner" is a device that captures an object in three dimensions and analyzes its shape and contents in detail. 【0323】 A "metal detector device" is a device designed to detect the presence of metal and is typically used to identify dangerous items hidden among personal belongings. 【0324】 To implement this invention, an integrated security system is required. At the heart of the system is a server that acquires passenger QR code information and identity verification information collected at airport traffic gates. Specifically, this information is centrally managed using a QR code reader and database management software. The server also has the capability to scan passengers' belongings using a 3D scanner and metal detection devices and perform detailed analysis. This enables the detection of suspicious objects. 【0325】 Furthermore, the server analyzes the collected data through advanced algorithms to understand passenger movement patterns. Simultaneously, it uses emotion analysis technology to analyze passengers' facial expressions and movements through data from cameras and sensors, and employs Python's OpenCV library to understand their emotional state in real time. These analysis results are used to optimize worker placement and automatically adjust schedules. 【0326】 The terminal is used to notify passengers of the analysis results received from the server. For example, it provides appropriate notifications if a passenger can pass security checks without any problems or if further inspection is required. Furthermore, it has a function to provide relaxing music and videos according to the passenger's psychological state. Multimedia software such as VLC media player is used for this purpose. 【0327】 The user (passenger) adjusts their behavior based on instructions from the device. Specifically, they act according to guidelines as needed to ensure the process runs smoothly. For example, if the device analyzes that the passenger is stressed, they will use relaxation techniques provided by the device to reduce their psychological burden. 【0328】 For example, when a passenger arriving at the airport is captured on a camera that performs emotion analysis, the server checks the passenger's information and analyzes their emotional state. Based on this analysis, the terminal plays relaxing music for the passenger to ensure the inspection process proceeds smoothly. This system aims to simultaneously improve security and enhance the passenger experience. 【0329】 Examples of prompts to input into a generative AI model are as follows: 【0330】 "Please explain in detail how airport passenger safety check systems adjust their response based on passenger emotions." 【0331】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0332】 Step 1: 【0333】 The server acquires passenger QR code information and identity verification information as input from sensors and cameras installed near the traffic gates. This creates a digital profile of the passenger, which is then stored in a database. In this process, QR code readers and OCR technology are used to digitize the information, and the data is stored in the database management system. 【0334】 Step 2: 【0335】 The server uses input data from a 3D scanner and metal detection devices to scan passengers' belongings and detect suspicious items. This step involves analyzing the scanned image data and employing pattern recognition techniques to identify items and metal objects that would not normally be carried on board. The detection results are recorded in a database and used in subsequent processes. 【0336】 Step 3: 【0337】 The server uses emotion analysis technology to analyze sensor data related to passengers' facial expressions and movements to understand their emotional state. This input includes real-time video data from cameras. The analysis utilizes the OpenCV library in Python to quantify the passengers' emotional state. The output is this quantified emotion data, which is used as a reference for subsequent procedures. 【0338】 Step 4: 【0339】 The server integrates collected movement data and passenger emotional states to optimize worker placement and scheduling based on real-time conditions. Inputs include passenger flow and current gate usage. A data analysis algorithm is used to calculate the optimal placement plan, and the results are notified to all relevant parties as output. 【0340】 Step 5: 【0341】 The terminal notifies passengers based on analysis results sent from the server. Specifically, various media content is input to provide relaxing music and videos according to the passenger's emotional state. As output, passengers are notified that "the test is clear," and music is played using VLC media player if necessary. 【0342】 Step 6: 【0343】 The user (passenger) receives instructions from the terminal and adjusts their actions accordingly. Input includes visual and auditory information from the terminal. Output is that the passenger can take the necessary actions based on the instructions. Specific actions include using relaxation techniques and smoothly completing boarding procedures based on the instructions. 【0344】 (Application Example 2) 【0345】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal". 【0346】 In traditional brick-and-mortar stores, it has been difficult to analyze customer behavior and emotional states in real time and provide personalized experiences, thus limiting the improvement of customer satisfaction. Furthermore, it has been challenging to reduce customer stress and implement optimal security measures. This invention aims to solve these problems and improve the customer experience through the provision of personalized product recommendations and relaxation content. 【0347】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0348】 In this invention, the server includes information processing means for collecting and analyzing crew movement information, inspection means for inspecting crew members' belongings and detecting suspicious items, optimization means for predicting crew movement patterns and dynamically adjusting personnel allocation and schedules, and emotion analysis and content provision means for analyzing crew members' emotional states and providing personalized products and relaxation content. This enables real-time service provision based on the emotional state of customers and optimization of security. 【0349】 "Crew movement information" refers to data regarding the location and movement routes of customers and users within stores and facilities. 【0350】 "Information processing means" refers to a device or system that analyzes collected data and generates instructions or information as needed. 【0351】 "Inspection methods for examining personal belongings" refer to devices and technologies used to examine the belongings of customers or users and identify suspicious objects. 【0352】 A "suspicious item" is an object that does not normally exist under normal usage conditions, or that may potentially threaten safety. 【0353】 An "optimization measure" is a device or method that adjusts the layout and schedule to improve the efficiency of service delivery based on customer movements and congestion levels. 【0354】 "Emotional analysis tools" are devices and technologies that identify emotional states from the facial expressions and behaviors of customers and users, and utilize that information. 【0355】 A "content delivery method" is a system that provides customers and users with product information, relaxing music, videos, and other content based on analysis results. 【0356】 "Security optimization" is the process of improving safety through measures such as detecting suspicious items and efficiently allocating personnel. 【0357】 This system is designed to improve the customer experience in physical stores. The server collects various data, including customer movement information, in real time and analyzes it using information processing tools. When a customer enters the store, smart cameras and facial recognition sensors are used to detect their emotional state, and this information is processed by emotion analysis tools. This allows the server to understand the customer's emotional state and provide appropriate products or relaxing content. 【0358】 The system utilizes smart cameras and in-store sensors as hardware, and emotion recognition algorithms and data analysis programs as software. Music streaming services and video distribution systems are also incorporated. This enables the provision of optimal customer service in real time within the store. 【0359】 The terminal displays relaxing music and videos to the customer based on content transmitted from the server. Customer behavior is continuously monitored, and personalized services are provided based on the analysis results, significantly improving customer satisfaction. 【0360】 As a concrete example, from the moment a customer enters a store, the system analyzes their facial expressions and plays relaxing music appropriate to those expressions. If a customer is feeling stressed, the emotion recognition AI immediately detects this state and provides content that is effective in reducing stress. The generative AI model uses prompts such as, "Design a system that selects the optimal music and video in real time based on the customer's emotional state to effectively promote sales." 【0361】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0362】 Step 1: 【0363】 The server uses smart cameras and facial recognition sensors within the store to acquire customer movement information and facial expression data in real time. This data is used as input to infer emotional states from customer location, movement patterns, and facial expressions. A data analysis program then analyzes movement paths and changes in facial expressions. 【0364】 Step 2: 【0365】 The server inputs the facial expression data acquired in Step 1 into an emotion recognition algorithm to analyze the customer's emotional state. For example, it detects emotions such as surprise, joy, and stress. This analysis is performed by an AI model, and the analysis results are generated. 【0366】 Step 3: 【0367】 Based on the analysis results, the server selects products and relaxation content (music and videos) suitable for the customer. This selection process retrieves content data from music streaming services and video distribution systems, choosing the content best suited to the customer's emotional state. The selected content is then sent to the terminal as output. 【0368】 Step 4: 【0369】 The terminal receives content transmitted from the server and provides it to the customer. It plays relaxing music and videos on the customer's smartphone or in-store display. This operation allows the customer to enjoy a comfortable shopping experience. 【0370】 Step 5: 【0371】 Users (customers) can continue shopping in a comfortable environment using the music and videos being played. The relaxing content presented on the device reduces the customer's psychological burden, thereby increasing their satisfaction. 【0372】 The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0373】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0374】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214. 【0375】 [Third Embodiment] 【0376】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0377】 As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server. 【0378】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0379】 The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52. 【0380】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0381】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0382】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0383】 Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0384】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0385】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0386】 In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0387】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal". 【0388】 The system of the present invention was developed to improve the efficiency of security checks within airports, and its embodiments are described below. 【0389】 The system is primarily composed of three components: servers, terminals, and users. The servers collect passenger movement data from scanners and devices installed at airport traffic gates. This movement data includes passenger ticket information, identification documents, and scanned information about belongings. The servers process this data in real time and predict passenger flow based on the analysis results. Based on these predictions, the system dynamically adjusts the deployment of inspectors and the opening schedule of gates to improve overall efficiency. 【0390】 The terminals are installed at each inspection point in the airport and display analysis results and instructions from the server. Specifically, they provide notifications indicating whether a passenger is allowed to pass. The terminals also have the capability to provide interfaces for 3D scanners and metal detectors, scanning passengers and their belongings. If suspicious objects are detected, a warning is issued, prompting the user to undergo additional manual inspection. 【0391】 Users include passengers and airport staff using this system. Passengers can smoothly pass through security checks using their pre-registered personal data. Based on server analysis, they are immediately permitted to pass if there are no problems. Meanwhile, airport staff follow warnings on their terminals and conduct necessary manual inspections. This coordination allows the system to expedite the inspection process while maintaining security. 【0392】 As a concrete example, when person A arrives at the airport and scans a QR code at the gate, the server receives the data and updates the passenger profile. Next, person A's belongings are inspected with a 3D scanner and metal detector, and if there are no problems, the terminal displays a "inspection cleared" notification. This notification allows person A to proceed to the next procedure without wasting time. On the other hand, if a suspicious object is detected, the terminal issues a warning, and the user (staff) must conduct a detailed manual inspection of person A. 【0393】 Thus, this invention utilizes digital technology at each stage of security checks, contributing to improved passenger convenience and safety. 【0394】 The following describes the processing flow. 【0395】 Step 1: 【0396】 The server receives passenger ticket information and ID information from the scanners at the traffic gates. This allows it to build a basic profile of the passenger and store it in a database. 【0397】 Step 2: 【0398】 The terminal uses a 3D scanner and metal detector to inspect passengers' belongings. The scanned data is immediately sent to the server. 【0399】 Step 3: 【0400】 The server analyzes the received scan data and uses machine learning algorithms to assess for any suspicious objects. If everything is normal, it proceeds to prepare to grant passengers permission to pass. 【0401】 Step 4: 【0402】 The server notifies the terminal of the analysis results. The terminal then displays a notification to the passenger indicating "Test cleared" or "Further testing required." 【0403】 Step 5: 【0404】 Users (passengers) will follow the notifications on their devices and, if there are no problems, will pass through the security gate. If a suspicious object is detected, they will follow the staff's instructions and undergo an additional manual inspection. 【0405】 Step 6: 【0406】 Based on warnings from the terminal, users (staff) conduct manual baggage checks as needed. Depending on the situation, they feed back the results of the manual checks to the server. 【0407】 Step 7: 【0408】 The server updates its plan for optimizing the next inspection schedule and resources, taking into account past data and current inspection status. This streamlines workflow management for subsequent inspections. 【0409】 (Example 1) 【0410】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0411】 At airport security checkpoints, balancing efficiency and security is a challenge that hinders the smooth passage of passengers. Current systems can be time-consuming, increasing passenger waiting times and potentially degrading the passenger experience. Furthermore, if an anomaly is not detected promptly, the overall security risk of the airport increases. Addressing these challenges is essential to improving the efficiency and security of security checkpoints. 【0412】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0413】 In this invention, the server includes information processing means for collecting and analyzing passenger movement information, inspection means for inspecting passengers' belongings and detecting dangerous items, and adjustment means for predicting passenger movement trends and dynamically adjusting the placement of inspectors and gate opening plans. This makes it possible to improve the efficiency of inspections, ensure safety, and minimize passenger waiting times. 【0414】 "Passenger movement information" refers to information about passengers collected within the airport, including ticket information and authentication information, and other data necessary for passengers to move around. 【0415】 "Information processing means" refers to a series of technologies and devices used to analyze collected movement information and efficiently manage passenger flow. 【0416】 "Means of inspecting personal belongings" refers to devices and technologies used to inspect items brought on board by passengers and determine whether they contain dangerous materials, and includes three-dimensional inspection devices and metal detectors. 【0417】 "Dangerous goods" refer to items that are inappropriate or prohibited for passengers to bring on board for airport security reasons. 【0418】 "Adjustment measures" refer to technologies and devices used to optimize passenger flow and inspector placement, thereby ensuring the smooth progress of the inspection process. 【0419】 A "permission mechanism" is a system that authorizes passengers to pass through a vehicle when, based on analysis results, it is determined that they are safe. 【0420】 "Notification means" refers to technologies and devices used to communicate inspection results and necessary instructions to passengers and airport staff in real time. 【0421】 "Means of cooperation" refer to technologies and devices that enable passengers and airport staff to communicate and cooperate smoothly through a system. 【0422】 The system of the present invention is designed to improve the efficiency of security checks within airports and mainly consists of three elements: a server, a terminal, and a user. 【0423】 The server is responsible for collecting real-time passenger movement information from scanners and various devices installed at the airport. This information includes ticket information, authentication information, and scanned data of personal belongings. The collected data is analyzed within the server using information processing tools to predict passenger movement trends and congestion levels. The results of this analysis are used to dynamically optimize the deployment of inspectors and gate opening schedules. The server also notifies terminals at each inspection point of the analysis results. 【0424】 The terminals are installed at each inspection point within the airport and are responsible for displaying analysis results transmitted from the server, as well as inspecting passengers and their belongings. The terminals include a 3D scanner and a metal detector as means of inspecting belongings, and are used to detect dangerous items as passengers pass through. If a suspicious item is detected, the terminal displays a warning and notifies the user, an airport employee, of an additional manual inspection. 【0425】 The users of this system are passengers and airport staff. Passengers can use their registered travel information to undergo a smooth security check. If no problems are found, the terminal will issue a "permission to pass," allowing passengers to proceed to the next procedure quickly. Meanwhile, airport staff will receive notifications and warnings from the terminal and conduct detailed manual inspections as needed. 【0426】 As a concrete example, generative AI models are being used to ensure smooth passenger handling during security checks. An example of a prompt message is, "Please explain in detail the specific processing steps of the airport security check system." In this way, the system achieves both security maintenance and efficient operation. 【0427】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0428】 Step 1: 【0429】 The server acquires real-time passenger movement information from scanners and devices within the airport. The input data includes ticket information and authentication information. The server records this information in a database and performs necessary preprocessing to prepare the foundation for movement analysis. 【0430】 Step 2: 【0431】 The server analyzes the collected data. Using information processing tools, it applies a data analysis model to predict passenger flow and congestion levels. In this process, pre-processed movement information is used as input, and predictive data of passenger movement patterns is generated as output. This output helps optimize the deployment of inspectors and the opening schedule of gates. 【0432】 Step 3: 【0433】 The server sends the analysis results to the terminal. The transmitted data includes instructions indicating whether the passenger can pass through safely or if additional inspection is required. The terminal receives this as input and displays a notification on its screen. 【0434】 Step 4: 【0435】 The terminal operates a 3D scanning device and a metal detector to inspect passengers and their belongings. As input, it collects scan data of belongings and performs calculations to detect dangerous items through the inspection device. As output, it generates inspection results, which are then used to determine if the items are normal or not. 【0436】 Step 5: 【0437】 Airport staff, acting as users, conduct necessary manual inspections based on notifications from the terminal. If the terminal displays "permission to pass," they guide the passenger to the next step. If a suspicious object is detected, further inspections are conducted, and staff follow the terminal's instructions and take appropriate security measures. 【0438】 (Application Example 1) 【0439】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0440】 Traditional security systems often resulted in lengthy entry and exit times, causing stress for users. Furthermore, their accuracy and speed in detecting suspicious objects were insufficient, leading to security concerns. A system is needed to address these issues and provide efficient and secure entry and exit management. 【0441】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0442】 In this invention, the server includes information processing means for collecting and analyzing user movement data, scanning means for scanning user belongings and detecting suspicious items, and communication means for displaying in real time whether entry is permitted on the user's communication terminal based on notifications from the information processing means. This enables rapid and secure entry and exit management. 【0443】 A "user" is an individual who enters or exits the system or scans their belongings. 【0444】 "Movement data" refers to information that shows the user's location and activity history. 【0445】 An "information processing system" is a computer system used to analyze movement data and make security decisions. 【0446】 A "scanning device" is a device used to inspect a user's belongings and detect suspicious items. 【0447】 A "communication means" is an interface that notifies a user's communication terminal whether or not access is permitted from an information processing means. 【0448】 An "optimization method" is an algorithm for dynamically adjusting the allocation of administrators and timetables. 【0449】 "Notification means" refers to a means of informing users whether or not their entry has been permitted. 【0450】 A "warning mechanism" is a system designed to prompt additional manual inspections when an anomaly is detected. 【0451】 This system achieves rapid and secure access control through information collection, analysis, and notification. Its specific form is described below. 【0452】 The server collects movement data and item scan data provided by users upon entry and exit. This data includes information such as identification codes, location information, and behavioral history. Information processing means on the server analyze this data and evaluate the user's trustworthiness and security issues. Based on this evaluation, a permission or denial instruction is generated. 【0453】 The terminal is equipped with communication capabilities to display the user's access status in real time. Instructions from the server are sent to the user's communication terminal, informing them of their entry / exit permission status. This allows users to pass through the gate quickly. Meanwhile, if suspicious items are detected by the scanning mechanism, a warning is issued, prompting additional manual inspection. 【0454】 As a concrete example, when a user arrives at the building entrance and holds their communication terminal over the device, the system instantly verifies the movement data. The server uses information processing to analyze the user's past behavior history and makes a quick decision on whether to grant entry. The result is notified to the user's mobile device via the communication system. If permission is granted, the user can proceed smoothly into the facility. If permission is denied, a message indicating "manual inspection required" is displayed, and a security officer performs a manual check. 【0455】 Examples of prompt statements provided to the generative AI model are as follows: 【0456】 "Please explain how to design an application that scans QR codes and simplifies the authentication process in real time. Please provide detailed instructions and required technical elements." 【0457】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0458】 Step 1: 【0459】 The server receives movement data and identification codes from the user's communication device. Input includes the user's current location and identification information. To analyze this data, the server compares it against past behavioral history stored in a database and performs data calculations to evaluate the user's trustworthiness. The output is permission or denial information to expedite the user's entry and exit process. 【0460】 Step 2: 【0461】 The terminal receives analysis results sent from the server. It receives security assessment results regarding the user from the server as input. Based on this, it generates a notification to the user's communication terminal indicating whether entry or exit is permitted, providing rapid feedback as output. 【0462】 Step 3: 【0463】 The user determines the appropriate time to enter and exit based on notifications on their device. They receive notifications based on movement data analysis results as input, and if permitted to enter, they pass through the gate according to the normal procedure. The output is the user's stress-free and appropriate passage. 【0464】 Step 4: 【0465】 The terminal uses scanning devices to inspect the user's belongings. It receives scanned data of the user's belongings as input, performs data calculations, and determines whether there are any suspicious items. The output includes a "clear" notification if there are no problems, and a warning message prompting the user to perform a manual inspection if there are problems. 【0466】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0467】 This invention is a system that combines an emotion engine to make airport security check processes more efficient and user-friendly. The core of this system is a function that collects and analyzes passenger movement data and belongings data to detect suspicious objects. Furthermore, by combining it with an emotion engine, it is possible to analyze passengers' emotional states in real time and take necessary actions. 【0468】 The server integrates and analyzes passenger QR code information and identification information obtained from traffic gates, along with scanned item data. Based on the analysis results, it adjusts the placement and schedule of inspectors in real time to optimize passenger flow. Furthermore, by incorporating an emotion engine, the server receives data from facial expression and motion sensors, and understands the emotional state of passengers through analysis of this data. 【0469】 The terminal notifies passengers based on results from the server. In addition to notifying them that the test is clear, it also has a function to provide music and videos to help passengers relax, based on the analysis results of the emotion engine. This helps to alleviate tension and anxiety, improving the overall passenger experience. 【0470】 When users (passengers) pass through the inspection gate, they act based on information provided by the terminal. If there are no problems with the inspection, they proceed as usual, but if anxiety is detected, they can alleviate their anxiety through the presented relaxation elements. 【0471】 As a concrete example, when person B arrives at the airport, their face is captured by the emotion engine's camera. The server verifies person B's ticket information and detects tension from their facial expression. This result is transmitted to the terminal, which, in addition to the normal boarding procedures, provides relaxing music to person B, allowing them to proceed with boarding in a comfortable psychological state. Thus, the present invention is a comprehensive system that not only ensures security but also reduces the psychological burden on passengers. 【0472】 The following describes the processing flow. 【0473】 Step 1: 【0474】 The server receives passenger ticket information and identification information from sensors at the traffic gates. Based on this information, it identifies the passengers and logs the information in the database. 【0475】 Step 2: 【0476】 The server receives data transmitted from the 3D scanner and metal detector of the belongings and uses machine learning algorithms to analyze for the presence of suspicious objects. If no suspicious objects are detected, it prepares to proceed to the next step. 【0477】 Step 3: 【0478】 The terminal displays the analysis results from the server. It then shows the passenger a "check clear" message and prompts them to pass through the gate. 【0479】 Step 4: 【0480】 The server obtains passenger facial expression data from the emotion engine's sensors via the terminal. This data is then analyzed to infer the passenger's emotional state, such as tension or anxiety. 【0481】 Step 5: 【0482】 The terminal plays music and videos designed to relax passengers based on analysis results from its emotion engine. This reduces passenger stress and provides a more comfortable environment. 【0483】 Step 6: 【0484】 Users (passengers) pass through the security gate while experiencing music and videos provided as needed, based on information from their devices. If there are no particular problems, they proceed to the next procedure, but if any suspicious objects are detected, they will undergo an additional manual inspection. 【0485】 Step 7: 【0486】 The user (staff) follows the warning displayed on the terminal and, if necessary, performs a detailed manual inspection of the passenger's belongings. The results of the manual inspection and feedback on the passenger's emotional state are sent to the server to help improve the system in the future. 【0487】 (Example 2) 【0488】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0489】 Modern airport security checks require a high level of safety while minimizing the psychological burden on passengers. However, traditional systems often proceed without considering passengers' emotional states, potentially amplifying their stress and anxiety. Therefore, there is a challenge in balancing the efficiency and accuracy of security checks with an improved passenger experience. 【0490】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0491】 In this invention, the server includes information processing means for collecting and analyzing passenger movement data, detection means for scanning passengers' belongings and detecting suspicious objects, and emotion analysis means for analyzing passengers' emotional states in real time and providing relaxation elements tailored to their psychological state. This makes it possible to improve the accuracy and efficiency of security checks while reducing the psychological burden on passengers. 【0492】 "Information processing means" refers to devices and programs used to collect and analyze passenger movement data. 【0493】 "Detection means" refers to a technology or device used to scan a passenger's belongings and identify any suspicious objects contained therein. 【0494】 An "optimization method" is a technique or system for predicting passenger movement patterns and dynamically adjusting the placement and planning of workers. 【0495】 "Communication means" refers to an interface or protocol that notifies passengers of the analysis results and permits them to pass if there are no abnormalities. 【0496】 An "alarm system" is a warning mechanism used to prompt additional manual inspection when an abnormality is detected. 【0497】 "Emotional analysis means" refers to a technology or system that analyzes passengers' emotional states in real time and provides relaxation elements tailored to their psychological state. 【0498】 A "three-dimensional scanner" is a device that captures an object in three dimensions and analyzes its shape and contents in detail. 【0499】 A "metal detector device" is a device designed to detect the presence of metal and is typically used to identify dangerous items hidden among personal belongings. 【0500】 To implement this invention, an integrated security system is required. At the heart of the system is a server that acquires passenger QR code information and identity verification information collected at airport traffic gates. Specifically, this information is centrally managed using a QR code reader and database management software. The server also has the capability to scan passengers' belongings using a 3D scanner and metal detection devices and perform detailed analysis. This enables the detection of suspicious objects. 【0501】 Furthermore, the server analyzes the collected data through advanced algorithms to understand passenger movement patterns. Simultaneously, it uses emotion analysis technology to analyze passengers' facial expressions and movements through data from cameras and sensors, and employs Python's OpenCV library to understand their emotional state in real time. These analysis results are used to optimize worker placement and automatically adjust schedules. 【0502】 The terminal is used to notify passengers of the analysis results received from the server. For example, it provides appropriate notifications if a passenger can pass security checks without any problems or if further inspection is required. Furthermore, it has a function to provide relaxing music and videos according to the passenger's psychological state. Multimedia software such as VLC media player is used for this purpose. 【0503】 The user (passenger) adjusts their behavior based on instructions from the device. Specifically, they act according to guidelines as needed to ensure the process runs smoothly. For example, if the device analyzes that the passenger is stressed, they will use relaxation techniques provided by the device to reduce their psychological burden. 【0504】 For example, when a passenger arriving at the airport is captured on a camera that performs emotion analysis, the server checks the passenger's information and analyzes their emotional state. Based on this analysis, the terminal plays relaxing music for the passenger to ensure the inspection process proceeds smoothly. This system aims to simultaneously improve security and enhance the passenger experience. 【0505】 Examples of prompts to input into a generative AI model are as follows: 【0506】 "Please explain in detail how airport passenger safety check systems adjust their response based on passenger emotions." 【0507】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0508】 Step 1: 【0509】 The server acquires passenger QR code information and identity verification information as input from sensors and cameras installed near the traffic gates. This creates a digital profile of the passenger, which is then stored in a database. In this process, QR code readers and OCR technology are used to digitize the information, and the data is stored in the database management system. 【0510】 Step 2: 【0511】 The server uses input data from a 3D scanner and metal detection devices to scan passengers' belongings and detect suspicious items. This step involves analyzing the scanned image data and employing pattern recognition techniques to identify items and metal objects that would not normally be carried on board. The detection results are recorded in a database and used in subsequent processes. 【0512】 Step 3: 【0513】 The server uses emotion analysis technology to analyze sensor data related to passengers' facial expressions and movements to understand their emotional state. This input includes real-time video data from cameras. The analysis utilizes the OpenCV library in Python to quantify the passengers' emotional state. The output is this quantified emotion data, which is used as a reference for subsequent procedures. 【0514】 Step 4: 【0515】 The server integrates collected movement data and passenger emotional states to optimize worker placement and scheduling based on real-time conditions. Inputs include passenger flow and current gate usage. A data analysis algorithm is used to calculate the optimal placement plan, and the results are notified to all relevant parties as output. 【0516】 Step 5: 【0517】 The terminal notifies passengers based on analysis results sent from the server. Specifically, various media content is input to provide relaxing music and videos according to the passenger's emotional state. As output, passengers are notified that "the test is clear," and music is played using VLC media player if necessary. 【0518】 Step 6: 【0519】 The user (passenger) receives instructions from the terminal and adjusts their actions accordingly. Input includes visual and auditory information from the terminal. Output is that the passenger can take the necessary actions based on the instructions. Specific actions include using relaxation techniques and smoothly completing boarding procedures based on the instructions. 【0520】 (Application Example 2) 【0521】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0522】 In traditional brick-and-mortar stores, it has been difficult to analyze customer behavior and emotional states in real time and provide personalized experiences, thus limiting the improvement of customer satisfaction. Furthermore, it has been challenging to reduce customer stress and implement optimal security measures. This invention aims to solve these problems and improve the customer experience through the provision of personalized product recommendations and relaxation content. 【0523】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0524】 In this invention, the server includes information processing means for collecting and analyzing crew movement information, inspection means for inspecting crew members' belongings and detecting suspicious items, optimization means for predicting crew movement patterns and dynamically adjusting personnel allocation and schedules, and emotion analysis and content provision means for analyzing crew members' emotional states and providing personalized products and relaxation content. This enables real-time service provision based on the emotional state of customers and optimization of security. 【0525】 "Crew movement information" refers to data regarding the location and movement routes of customers and users within stores and facilities. 【0526】 "Information processing means" refers to a device or system that analyzes collected data and generates instructions or information as needed. 【0527】 "Inspection methods for examining personal belongings" refer to devices and technologies used to examine the belongings of customers or users and identify suspicious objects. 【0528】 A "suspicious item" is an object that does not normally exist under normal usage conditions, or that may potentially threaten safety. 【0529】 An "optimization measure" is a device or method that adjusts the layout and schedule to improve the efficiency of service delivery based on customer movements and congestion levels. 【0530】 "Emotional analysis tools" are devices and technologies that identify emotional states from the facial expressions and behaviors of customers and users, and utilize that information. 【0531】 A "content delivery method" is a system that provides customers and users with product information, relaxing music, videos, and other content based on analysis results. 【0532】 "Security optimization" is the process of improving safety through measures such as detecting suspicious items and efficiently allocating personnel. 【0533】 This system is designed to improve the customer experience in physical stores. The server collects various data, including customer movement information, in real time and analyzes it using information processing tools. When a customer enters the store, smart cameras and facial recognition sensors are used to detect their emotional state, and this information is processed by emotion analysis tools. This allows the server to understand the customer's emotional state and provide appropriate products or relaxing content. 【0534】 The system utilizes smart cameras and in-store sensors as hardware, and emotion recognition algorithms and data analysis programs as software. Music streaming services and video distribution systems are also incorporated. This enables the provision of optimal customer service in real time within the store. 【0535】 The terminal displays relaxing music and videos to the customer based on content transmitted from the server. Customer behavior is continuously monitored, and personalized services are provided based on the analysis results, significantly improving customer satisfaction. 【0536】 As a concrete example, from the moment a customer enters a store, the system analyzes their facial expressions and plays relaxing music appropriate to those expressions. If a customer is feeling stressed, the emotion recognition AI immediately detects this state and provides content that is effective in reducing stress. The generative AI model uses prompts such as, "Design a system that selects the optimal music and video in real time based on the customer's emotional state to effectively promote sales." 【0537】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0538】 Step 1: 【0539】 The server uses smart cameras and facial recognition sensors within the store to acquire customer movement information and facial expression data in real time. This data is used as input to infer emotional states from customer location, movement patterns, and facial expressions. A data analysis program then analyzes movement paths and changes in facial expressions. 【0540】 Step 2: 【0541】 The server inputs the facial expression data acquired in Step 1 into an emotion recognition algorithm to analyze the customer's emotional state. For example, it detects emotions such as surprise, joy, and stress. This analysis is performed by an AI model, and the analysis results are generated. 【0542】 Step 3: 【0543】 Based on the analysis results, the server selects products and relaxation content (music and videos) suitable for the customer. This selection process retrieves content data from music streaming services and video distribution systems, choosing the content best suited to the customer's emotional state. The selected content is then sent to the terminal as output. 【0544】 Step 4: 【0545】 The terminal receives content transmitted from the server and provides it to the customer. It plays relaxing music and videos on the customer's smartphone or in-store display. This operation allows the customer to enjoy a comfortable shopping experience. 【0546】 Step 5: 【0547】 Users (customers) can continue shopping in a comfortable environment using the music and videos being played. The relaxing content presented on the device reduces the customer's psychological burden, thereby increasing their satisfaction. 【0548】 The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0549】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0550】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314. 【0551】 [Fourth Embodiment] 【0552】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0553】 As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server. 【0554】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0555】 The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52. 【0556】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0557】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0558】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0559】 The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes. 【0560】 Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0561】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0562】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0563】 In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0564】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0565】 The system of the present invention was developed to improve the efficiency of security checks within airports, and its embodiments are described below. 【0566】 The system is primarily composed of three components: servers, terminals, and users. The servers collect passenger movement data from scanners and devices installed at airport traffic gates. This movement data includes passenger ticket information, identification documents, and scanned information about belongings. The servers process this data in real time and predict passenger flow based on the analysis results. Based on these predictions, the system dynamically adjusts the deployment of inspectors and the opening schedule of gates to improve overall efficiency. 【0567】 The terminals are installed at each inspection point in the airport and display analysis results and instructions from the server. Specifically, they provide notifications indicating whether a passenger is allowed to pass. The terminals also have the capability to provide interfaces for 3D scanners and metal detectors, scanning passengers and their belongings. If suspicious objects are detected, a warning is issued, prompting the user to undergo additional manual inspection. 【0568】 Users include passengers and airport staff using this system. Passengers can smoothly pass through security checks using their pre-registered personal data. Based on server analysis, they are immediately permitted to pass if there are no problems. Meanwhile, airport staff follow warnings on their terminals and conduct necessary manual inspections. This coordination allows the system to expedite the inspection process while maintaining security. 【0569】 As a concrete example, when person A arrives at the airport and scans a QR code at the gate, the server receives the data and updates the passenger profile. Next, person A's belongings are inspected with a 3D scanner and metal detector, and if there are no problems, the terminal displays a "inspection cleared" notification. This notification allows person A to proceed to the next procedure without wasting time. On the other hand, if a suspicious object is detected, the terminal issues a warning, and the user (staff) must conduct a detailed manual inspection of person A. 【0570】 Thus, this invention utilizes digital technology at each stage of security checks, contributing to improved passenger convenience and safety. 【0571】 The following describes the processing flow. 【0572】 Step 1: 【0573】 The server receives passenger ticket information and ID information from the scanners at the traffic gates. This allows it to build a basic profile of the passenger and store it in a database. 【0574】 Step 2: 【0575】 The terminal uses a 3D scanner and metal detector to inspect passengers' belongings. The scanned data is immediately sent to the server. 【0576】 Step 3: 【0577】 The server analyzes the received scan data and uses machine learning algorithms to assess for any suspicious objects. If everything is normal, it proceeds to prepare to grant passengers permission to pass. 【0578】 Step 4: 【0579】 The server notifies the terminal of the analysis results. The terminal then displays a notification to the passenger indicating "Test cleared" or "Further testing required." 【0580】 Step 5: 【0581】 Users (passengers) will follow the notifications on their devices and, if there are no problems, will pass through the security gate. If a suspicious object is detected, they will follow the staff's instructions and undergo an additional manual inspection. 【0582】 Step 6: 【0583】 Based on warnings from the terminal, users (staff) conduct manual baggage checks as needed. Depending on the situation, they feed back the results of the manual checks to the server. 【0584】 Step 7: 【0585】 The server updates its plan for optimizing the next inspection schedule and resources, taking into account past data and current inspection status. This streamlines workflow management for subsequent inspections. 【0586】 (Example 1) 【0587】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0588】 At airport security checkpoints, balancing efficiency and security is a challenge that hinders the smooth passage of passengers. Current systems can be time-consuming, increasing passenger waiting times and potentially degrading the passenger experience. Furthermore, if an anomaly is not detected promptly, the overall security risk of the airport increases. Addressing these challenges is essential to improving the efficiency and security of security checkpoints. 【0589】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0590】 In this invention, the server includes information processing means for collecting and analyzing passenger movement information, inspection means for inspecting passengers' belongings and detecting dangerous items, and adjustment means for predicting passenger movement trends and dynamically adjusting the placement of inspectors and gate opening plans. This makes it possible to improve the efficiency of inspections, ensure safety, and minimize passenger waiting times. 【0591】 "Passenger movement information" refers to information about passengers collected within the airport, including ticket information and authentication information, and other data necessary for passengers to move around. 【0592】 "Information processing means" refers to a series of technologies and devices used to analyze collected movement information and efficiently manage passenger flow. 【0593】 "Means of inspecting personal belongings" refers to devices and technologies used to inspect items brought on board by passengers and determine whether they contain dangerous materials, and includes three-dimensional inspection devices and metal detectors. 【0594】 "Dangerous goods" refer to items that are inappropriate or prohibited for passengers to bring on board for airport security reasons. 【0595】 "Adjustment measures" refer to technologies and devices used to optimize passenger flow and inspector placement, thereby ensuring the smooth progress of the inspection process. 【0596】 A "permission mechanism" is a system that authorizes passengers to pass through a vehicle when, based on analysis results, it is determined that they are safe. 【0597】 "Notification means" refers to technologies and devices used to communicate inspection results and necessary instructions to passengers and airport staff in real time. 【0598】 "Means of cooperation" refer to technologies and devices that enable passengers and airport staff to communicate and cooperate smoothly through a system. 【0599】 The system of the present invention is designed to improve the efficiency of security checks within airports and mainly consists of three elements: a server, a terminal, and a user. 【0600】 The server is responsible for collecting real-time passenger movement information from scanners and various devices installed at the airport. This information includes ticket information, authentication information, and scanned data of personal belongings. The collected data is analyzed within the server using information processing tools to predict passenger movement trends and congestion levels. The results of this analysis are used to dynamically optimize the deployment of inspectors and gate opening schedules. The server also notifies terminals at each inspection point of the analysis results. 【0601】 The terminals are installed at each inspection point within the airport and are responsible for displaying analysis results transmitted from the server, as well as inspecting passengers and their belongings. The terminals include a 3D scanner and a metal detector as means of inspecting belongings, and are used to detect dangerous items as passengers pass through. If a suspicious item is detected, the terminal displays a warning and notifies the user, an airport employee, of an additional manual inspection. 【0602】 The users of this system are passengers and airport staff. Passengers can use their registered travel information to undergo a smooth security check. If no problems are found, the terminal will issue a "permission to pass," allowing passengers to proceed to the next procedure quickly. Meanwhile, airport staff will receive notifications and warnings from the terminal and conduct detailed manual inspections as needed. 【0603】 As a concrete example, generative AI models are being used to ensure smooth passenger handling during security checks. An example of a prompt message is, "Please explain in detail the specific processing steps of the airport security check system." In this way, the system achieves both security maintenance and efficient operation. 【0604】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0605】 Step 1: 【0606】 The server acquires real-time passenger movement information from scanners and devices within the airport. The input data includes ticket information and authentication information. The server records this information in a database and performs necessary preprocessing to prepare the foundation for movement analysis. 【0607】 Step 2: 【0608】 The server analyzes the collected data. Using information processing tools, it applies a data analysis model to predict passenger flow and congestion levels. In this process, pre-processed movement information is used as input, and predictive data of passenger movement patterns is generated as output. This output helps optimize the deployment of inspectors and the opening schedule of gates. 【0609】 Step 3: 【0610】 The server sends the analysis results to the terminal. The transmitted data includes instructions indicating whether the passenger can pass through safely or if additional inspection is required. The terminal receives this as input and displays a notification on its screen. 【0611】 Step 4: 【0612】 The terminal operates a 3D scanning device and a metal detector to inspect passengers and their belongings. As input, it collects scan data of belongings and performs calculations to detect dangerous items through the inspection device. As output, it generates inspection results, which are then used to determine if the items are normal or not. 【0613】 Step 5: 【0614】 Airport staff, acting as users, conduct necessary manual inspections based on notifications from the terminal. If the terminal displays "permission to pass," they guide the passenger to the next step. If a suspicious object is detected, further inspections are conducted, and staff follow the terminal's instructions and take appropriate security measures. 【0615】 (Application Example 1) 【0616】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0617】 Traditional security systems often resulted in lengthy entry and exit times, causing stress for users. Furthermore, their accuracy and speed in detecting suspicious objects were insufficient, leading to security concerns. A system is needed to address these issues and provide efficient and secure entry and exit management. 【0618】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0619】 In this invention, the server includes information processing means for collecting and analyzing user movement data, scanning means for scanning user belongings and detecting suspicious items, and communication means for displaying in real time whether entry is permitted on the user's communication terminal based on notifications from the information processing means. This enables rapid and secure entry and exit management. 【0620】 A "user" is an individual who enters or exits the system or scans their belongings. 【0621】 "Movement data" refers to information that shows the user's location and activity history. 【0622】 An "information processing system" is a computer system used to analyze movement data and make security decisions. 【0623】 A "scanning device" is a device used to inspect a user's belongings and detect suspicious items. 【0624】 A "communication means" is an interface that notifies a user's communication terminal whether or not access is permitted from an information processing means. 【0625】 An "optimization method" is an algorithm for dynamically adjusting the allocation of administrators and timetables. 【0626】 "Notification means" refers to a means of informing users whether or not their entry has been permitted. 【0627】 A "warning mechanism" is a system designed to prompt additional manual inspections when an anomaly is detected. 【0628】 This system achieves rapid and secure access control through information collection, analysis, and notification. Its specific form is described below. 【0629】 The server collects movement data and item scan data provided by users upon entry and exit. This data includes information such as identification codes, location information, and behavioral history. Information processing means on the server analyze this data and evaluate the user's trustworthiness and security issues. Based on this evaluation, a permission or denial instruction is generated. 【0630】 The terminal is equipped with communication capabilities to display the user's access status in real time. Instructions from the server are sent to the user's communication terminal, informing them of their entry / exit permission status. This allows users to pass through the gate quickly. Meanwhile, if suspicious items are detected by the scanning mechanism, a warning is issued, prompting additional manual inspection. 【0631】 As a concrete example, when a user arrives at the building entrance and holds their communication terminal over the device, the system instantly verifies the movement data. The server uses information processing to analyze the user's past behavior history and makes a quick decision on whether to grant entry. The result is notified to the user's mobile device via the communication system. If permission is granted, the user can proceed smoothly into the facility. If permission is denied, a message indicating "manual inspection required" is displayed, and a security officer performs a manual check. 【0632】 Examples of prompt statements provided to the generative AI model are as follows: 【0633】 "Please explain how to design an application that scans QR codes and simplifies the authentication process in real time. Please provide detailed instructions and required technical elements." 【0634】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0635】 Step 1: 【0636】 The server receives movement data and identification codes from the user's communication device. Input includes the user's current location and identification information. To analyze this data, the server compares it against past behavioral history stored in a database and performs data calculations to evaluate the user's trustworthiness. The output is permission or denial information to expedite the user's entry and exit process. 【0637】 Step 2: 【0638】 The terminal receives analysis results sent from the server. It receives security assessment results regarding the user from the server as input. Based on this, it generates a notification to the user's communication terminal indicating whether entry or exit is permitted, providing rapid feedback as output. 【0639】 Step 3: 【0640】 The user determines the appropriate time to enter and exit based on notifications on their device. They receive notifications based on movement data analysis results as input, and if permitted to enter, they pass through the gate according to the normal procedure. The output is the user's stress-free and appropriate passage. 【0641】 Step 4: 【0642】 The terminal uses scanning devices to inspect the user's belongings. It receives scanned data of the user's belongings as input, performs data calculations, and determines whether there are any suspicious items. The output includes a "clear" notification if there are no problems, and a warning message prompting the user to perform a manual inspection if there are problems. 【0643】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0644】 This invention is a system that combines an emotion engine to make airport security check processes more efficient and user-friendly. The core of this system is a function that collects and analyzes passenger movement data and belongings data to detect suspicious objects. Furthermore, by combining it with an emotion engine, it is possible to analyze passengers' emotional states in real time and take necessary actions. 【0645】 The server integrates and analyzes passenger QR code information and identification information obtained from traffic gates, along with scanned item data. Based on the analysis results, it adjusts the placement and schedule of inspectors in real time to optimize passenger flow. Furthermore, by incorporating an emotion engine, the server receives data from facial expression and motion sensors, and understands the emotional state of passengers through analysis of this data. 【0646】 The terminal notifies passengers based on results from the server. In addition to notifying them that the test is clear, it also has a function to provide music and videos to help passengers relax, based on the analysis results of the emotion engine. This helps to alleviate tension and anxiety, improving the overall passenger experience. 【0647】 When users (passengers) pass through the inspection gate, they act based on information provided by the terminal. If there are no problems with the inspection, they proceed as usual, but if anxiety is detected, they can alleviate their anxiety through the presented relaxation elements. 【0648】 As a concrete example, when person B arrives at the airport, their face is captured by the emotion engine's camera. The server verifies person B's ticket information and detects tension from their facial expression. This result is transmitted to the terminal, which, in addition to the normal boarding procedures, provides relaxing music to person B, allowing them to proceed with boarding in a comfortable psychological state. Thus, the present invention is a comprehensive system that not only ensures security but also reduces the psychological burden on passengers. 【0649】 The following describes the processing flow. 【0650】 Step 1: 【0651】 The server receives passenger ticket information and identification information from sensors at the traffic gates. Based on this information, it identifies the passengers and logs the information in the database. 【0652】 Step 2: 【0653】 The server receives data transmitted from the 3D scanner and metal detector of the belongings and uses machine learning algorithms to analyze for the presence of suspicious objects. If no suspicious objects are detected, it prepares to proceed to the next step. 【0654】 Step 3: 【0655】 The terminal displays the analysis results from the server. It then shows the passenger a "check clear" message and prompts them to pass through the gate. 【0656】 Step 4: 【0657】 The server obtains passenger facial expression data from the emotion engine's sensors via the terminal. This data is then analyzed to infer the passenger's emotional state, such as tension or anxiety. 【0658】 Step 5: 【0659】 The terminal plays music and videos designed to relax passengers based on analysis results from its emotion engine. This reduces passenger stress and provides a more comfortable environment. 【0660】 Step 6: 【0661】 Users (passengers) pass through the security gate while experiencing music and videos provided as needed, based on information from their devices. If there are no particular problems, they proceed to the next procedure, but if any suspicious objects are detected, they will undergo an additional manual inspection. 【0662】 Step 7: 【0663】 The user (staff) follows the warning displayed on the terminal and, if necessary, performs a detailed manual inspection of the passenger's belongings. The results of the manual inspection and feedback on the passenger's emotional state are sent to the server to help improve the system in the future. 【0664】 (Example 2) 【0665】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0666】 Modern airport security checks require a high level of safety while minimizing the psychological burden on passengers. However, traditional systems often proceed without considering passengers' emotional states, potentially amplifying their stress and anxiety. Therefore, there is a challenge in balancing the efficiency and accuracy of security checks with an improved passenger experience. 【0667】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0668】 In this invention, the server includes information processing means for collecting and analyzing passenger movement data, detection means for scanning passengers' belongings and detecting suspicious objects, and emotion analysis means for analyzing passengers' emotional states in real time and providing relaxation elements tailored to their psychological state. This makes it possible to improve the accuracy and efficiency of security checks while reducing the psychological burden on passengers. 【0669】 "Information processing means" refers to devices and programs used to collect and analyze passenger movement data. 【0670】 "Detection means" refers to a technology or device used to scan a passenger's belongings and identify any suspicious objects contained therein. 【0671】 An "optimization method" is a technique or system for predicting passenger movement patterns and dynamically adjusting the placement and planning of workers. 【0672】 "Communication means" refers to an interface or protocol that notifies passengers of the analysis results and permits them to pass if there are no abnormalities. 【0673】 An "alarm system" is a warning mechanism used to prompt additional manual inspection when an abnormality is detected. 【0674】 "Emotional analysis means" refers to a technology or system that analyzes passengers' emotional states in real time and provides relaxation elements tailored to their psychological state. 【0675】 A "three-dimensional scanner" is a device that captures an object in three dimensions and analyzes its shape and contents in detail. 【0676】 A "metal detector device" is a device designed to detect the presence of metal and is typically used to identify dangerous items hidden among personal belongings. 【0677】 To implement this invention, an integrated security system is required. At the heart of the system is a server that acquires passenger QR code information and identity verification information collected at airport traffic gates. Specifically, this information is centrally managed using a QR code reader and database management software. The server also has the capability to scan passengers' belongings using a 3D scanner and metal detection devices and perform detailed analysis. This enables the detection of suspicious objects. 【0678】 Furthermore, the server analyzes the collected data through advanced algorithms to understand passenger movement patterns. Simultaneously, it uses emotion analysis technology to analyze passengers' facial expressions and movements through data from cameras and sensors, and employs Python's OpenCV library to understand their emotional state in real time. These analysis results are used to optimize worker placement and automatically adjust schedules. 【0679】 The terminal is used to notify passengers of the analysis results received from the server. For example, it provides appropriate notifications if a passenger can pass security checks without any problems or if further inspection is required. Furthermore, it has a function to provide relaxing music and videos according to the passenger's psychological state. Multimedia software such as VLC media player is used for this purpose. 【0680】 The user (passenger) adjusts their behavior based on instructions from the device. Specifically, they act according to guidelines as needed to ensure the process runs smoothly. For example, if the device analyzes that the passenger is stressed, they will use relaxation techniques provided by the device to reduce their psychological burden. 【0681】 For example, when a passenger arriving at the airport is captured on a camera that performs emotion analysis, the server checks the passenger's information and analyzes their emotional state. Based on this analysis, the terminal plays relaxing music for the passenger to ensure the inspection process proceeds smoothly. This system aims to simultaneously improve security and enhance the passenger experience. 【0682】 Examples of prompts to input into a generative AI model are as follows: 【0683】 "Please explain in detail how airport passenger safety check systems adjust their response based on passenger emotions." 【0684】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0685】 Step 1: 【0686】 The server acquires passenger QR code information and identity verification information as input from sensors and cameras installed near the traffic gates. This creates a digital profile of the passenger, which is then stored in a database. In this process, QR code readers and OCR technology are used to digitize the information, and the data is stored in the database management system. 【0687】 Step 2: 【0688】 The server uses input data from a 3D scanner and metal detection devices to scan passengers' belongings and detect suspicious items. This step involves analyzing the scanned image data and employing pattern recognition techniques to identify items and metal objects that would not normally be carried on board. The detection results are recorded in a database and used in subsequent processes. 【0689】 Step 3: 【0690】 The server uses emotion analysis technology to analyze sensor data related to passengers' facial expressions and movements to understand their emotional state. This input includes real-time video data from cameras. The analysis utilizes the OpenCV library in Python to quantify the passengers' emotional state. The output is this quantified emotion data, which is used as a reference for subsequent procedures. 【0691】 Step 4: 【0692】 The server integrates collected movement data and passenger emotional states to optimize worker placement and scheduling based on real-time conditions. Inputs include passenger flow and current gate usage. A data analysis algorithm is used to calculate the optimal placement plan, and the results are notified to all relevant parties as output. 【0693】 Step 5: 【0694】 The terminal notifies passengers based on analysis results sent from the server. Specifically, various media content is input to provide relaxing music and videos according to the passenger's emotional state. As output, passengers are notified that "the test is clear," and music is played using VLC media player if necessary. 【0695】 Step 6: 【0696】 The user (passenger) receives instructions from the terminal and adjusts their actions accordingly. Input includes visual and auditory information from the terminal. Output is that the passenger can take the necessary actions based on the instructions. Specific actions include using relaxation techniques and smoothly completing boarding procedures based on the instructions. 【0697】 (Application Example 2) 【0698】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0699】 In traditional brick-and-mortar stores, it has been difficult to analyze customer behavior and emotional states in real time and provide personalized experiences, thus limiting the improvement of customer satisfaction. Furthermore, it has been challenging to reduce customer stress and implement optimal security measures. This invention aims to solve these problems and improve the customer experience through the provision of personalized product recommendations and relaxation content. 【0700】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0701】 In this invention, the server includes information processing means for collecting and analyzing crew movement information, inspection means for inspecting crew members' belongings and detecting suspicious items, optimization means for predicting crew movement patterns and dynamically adjusting personnel allocation and schedules, and emotion analysis and content provision means for analyzing crew members' emotional states and providing personalized products and relaxation content. This enables real-time service provision based on the emotional state of customers and optimization of security. 【0702】 "Crew movement information" refers to data regarding the location and movement routes of customers and users within stores and facilities. 【0703】 "Information processing means" refers to a device or system that analyzes collected data and generates instructions or information as needed. 【0704】 "Inspection methods for examining personal belongings" refer to devices and technologies used to examine the belongings of customers or users and identify suspicious objects. 【0705】 A "suspicious item" is an object that does not normally exist under normal usage conditions, or that may potentially threaten safety. 【0706】 An "optimization measure" is a device or method that adjusts the layout and schedule to improve the efficiency of service delivery based on customer movements and congestion levels. 【0707】 "Emotional analysis tools" are devices and technologies that identify emotional states from the facial expressions and behaviors of customers and users, and utilize that information. 【0708】 A "content delivery method" is a system that provides customers and users with product information, relaxing music, videos, and other content based on analysis results. 【0709】 "Security optimization" is the process of improving safety through measures such as detecting suspicious items and efficiently allocating personnel. 【0710】 This system is designed to improve the customer experience in physical stores. The server collects various data, including customer movement information, in real time and analyzes it using information processing tools. When a customer enters the store, smart cameras and facial recognition sensors are used to detect their emotional state, and this information is processed by emotion analysis tools. This allows the server to understand the customer's emotional state and provide appropriate products or relaxing content. 【0711】 The system utilizes smart cameras and in-store sensors as hardware, and emotion recognition algorithms and data analysis programs as software. Music streaming services and video distribution systems are also incorporated. This enables the provision of optimal customer service in real time within the store. 【0712】 The terminal displays relaxing music and videos to the customer based on content transmitted from the server. Customer behavior is continuously monitored, and personalized services are provided based on the analysis results, significantly improving customer satisfaction. 【0713】 As a concrete example, from the moment a customer enters a store, the system analyzes their facial expressions and plays relaxing music appropriate to those expressions. If a customer is feeling stressed, the emotion recognition AI immediately detects this state and provides content that is effective in reducing stress. The generative AI model uses prompts such as, "Design a system that selects the optimal music and video in real time based on the customer's emotional state to effectively promote sales." 【0714】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0715】 Step 1: 【0716】 The server uses smart cameras and facial recognition sensors within the store to acquire customer movement information and facial expression data in real time. This data is used as input to infer emotional states from customer location, movement patterns, and facial expressions. A data analysis program then analyzes movement paths and changes in facial expressions. 【0717】 Step 2: 【0718】 The server inputs the facial expression data acquired in Step 1 into an emotion recognition algorithm to analyze the customer's emotional state. For example, it detects emotions such as surprise, joy, and stress. This analysis is performed by an AI model, and the analysis results are generated. 【0719】 Step 3: 【0720】 Based on the analysis results, the server selects products and relaxation content (music and videos) suitable for the customer. This selection process retrieves content data from music streaming services and video distribution systems, choosing the content best suited to the customer's emotional state. The selected content is then sent to the terminal as output. 【0721】 Step 4: 【0722】 The terminal receives content transmitted from the server and provides it to the customer. It plays relaxing music and videos on the customer's smartphone or in-store display. This operation allows the customer to enjoy a comfortable shopping experience. 【0723】 Step 5: 【0724】 Users (customers) can continue shopping in a comfortable environment using the music and videos being played. The relaxing content presented on the device reduces the customer's psychological burden, thereby increasing their satisfaction. 【0725】 The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0726】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0727】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414. 【0728】 Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion. 【0729】 Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together. 【0730】 These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression. 【0731】 The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become. 【0732】 Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant. 【0733】 The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more." 【0734】 The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values. 【0735】 The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format. 【0736】 In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data. 【0737】 In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56. 【0738】 Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12. 【0739】 Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56. 【0740】 The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using this memory. 【0741】 The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor. 【0742】 Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources. 【0743】 Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose. 【0744】 The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above. 【0745】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference. 【0746】 The following is further disclosed regarding the embodiments described above. 【0747】 (Claim 1) 【0748】 A data processing means for collecting and analyzing passenger movement data, 【0749】 A scanning device for scanning passengers' belongings and detecting suspicious objects, 【0750】 An optimization method for predicting passenger movement patterns and dynamically adjusting the placement and schedule of inspectors, 【0751】 A notification mechanism to notify the analysis results and, if no abnormalities are found, to allow passengers to pass through, 【0752】 A warning mechanism to prompt additional manual inspection if an anomaly is detected, 【0753】 A system that includes this. 【0754】 (Claim 2) 【0755】 The system according to claim 1, further comprising means for collecting QR codes and identification information as passenger movement data. 【0756】 (Claim 3) 【0757】 The system according to claim 1, further comprising means of using a 3D scanner and a metal detector when scanning passengers' belongings. 【0758】 "Example 1" 【0759】 (Claim 1) 【0760】 Information processing means for collecting and analyzing passenger movement information, 【0761】 Inspection methods for checking passengers' belongings and detecting dangerous items, 【0762】 A means for predicting passenger movement trends and dynamically adjusting the deployment of inspectors and gate opening plans, 【0763】 A means of notifying the analysis results and authorizing passengers to pass through if there are no problems, 【0764】 A notification mechanism to prompt additional manual inspection if a problem is detected, 【0765】 means of cooperation to promote collaboration between passengers and staff, 【0766】 A system that includes this. 【0767】 (Claim 2) 【0768】 The system according to claim 1, further comprising means for collecting codes and authentication information as passenger movement information. 【0769】 (Claim 3) 【0770】 The system according to claim 1, further comprising means of using a three-dimensional inspection device and a metal detector when inspecting the belongings of passengers. 【0771】 "Application Example 1" 【0772】 (Claim 1) 【0773】 Information processing means for collecting and analyzing user movement data, 【0774】 A scanning device for scanning the user's belongings and detecting suspicious items, 【0775】 An optimization method for predicting user movement patterns and dynamically adjusting administrator placement and timetables, 【0776】 A notification mechanism to notify the user of the analysis results and, if no abnormalities are found, to allow the user to enter, 【0777】 A warning mechanism to prompt additional manual inspection if an anomaly is detected, 【0778】 A communication means for displaying in real time whether access is permitted or not on the user's communication terminal based on a notification from an information processing means, 【0779】 A system that includes this. 【0780】 (Claim 2) 【0781】 The system according to claim 1, further comprising means for collecting identification codes and identity identification information as user movement data. 【0782】 (Claim 3) 【0783】 The system according to claim 1, further comprising means for using a three-dimensional scanner and a metal detector when scanning the user's belongings. 【0784】 "Example 2 of combining an emotion engine" 【0785】 (Claim 1) 【0786】 Information processing means for collecting and analyzing passenger movement data, 【0787】 A detection system for scanning passengers' belongings and detecting suspicious objects, 【0788】 An optimization means for predicting passenger movement patterns and dynamically adjusting worker placement and planning, 【0789】 A means of communication to notify the analysis results and permit passengers to pass if no abnormalities are found, 【0790】 An alarm mechanism to prompt additional manual inspection if an abnormality is detected, 【0791】 An emotional analysis method for analyzing passengers' emotional states in real time and providing relaxation elements tailored to their psychological state, 【0792】 A system that includes this. 【0793】 (Claim 2) 【0794】 The system according to claim 1, further comprising means for collecting code information and identity verification information as passenger movement data. 【0795】 (Claim 3) 【0796】 The system according to claim 1, further comprising means of using a three-dimensional scanner and a metal detection device when scanning a passenger's personal belongings. 【0797】 "Application example 2 when combining with an emotional engine" 【0798】 (Claim 1) 【0799】 Information processing means for collecting and analyzing crew movement information, 【0800】 Inspection methods for examining the crew's belongings and detecting suspicious items, 【0801】 An optimization method for predicting crew movement patterns and dynamically adjusting personnel allocation and schedules, 【0802】 A notification means for notifying the analysis results and, if no abnormalities are found, permitting the crew to pass, 【0803】 A warning mechanism to prompt additional manual inspection if an anomaly is detected, 【0804】 An emotional analysis and content delivery method for analyzing the emotional state of crew members and providing personalized products and relaxation content, 【0805】 A system that includes this. 【0806】 (Claim 2) 【0807】 The system according to claim 1, further comprising means for collecting identification codes and personal identification information as crew movement information. 【0808】 (Claim 3) 【0809】 The system according to claim 1, further comprising means for using a stereoscopic inspection machine and a metal detector when inspecting personal belongings. [Explanation of symbols] 【0810】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] A data processing means for collecting and analyzing passenger movement data, A scanning device for scanning passengers' belongings and detecting suspicious objects, An optimization method for predicting passenger movement patterns and dynamically adjusting the placement and schedule of inspectors, A notification mechanism to notify the analysis results and, if no abnormalities are found, to allow passengers to pass through, A warning mechanism to prompt additional manual inspection if an anomaly is detected, A system that includes this. [Claim 2] The system according to claim 1, further comprising means for collecting QR codes and identification information as passenger movement data. [Claim 3] The system according to claim 1, further comprising means for using a 3D scanner and a metal detector when scanning passengers' belongings.

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