system

Abstract

We provide a system that automatically detects illegally parked bicycles and promptly reports them to the relevant authorities. [Solution] The system comprises a camera for detecting moving objects, an information processing device for processing data, and a communication device for making notifications. The camera continuously acquires video data within the monitoring area and transmits the information to the server. The server identifies the location of the moving object based on the received video data. If illegal parking is detected, the server generates detailed data, including location information and images of the scene, based on the detection result, and automatically transmits the data to designated agencies such as the city hall or police via the communication device.

Description

【Technical Field】 【0001】 The technology disclosed herein relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a method for controlling a persona chatbot, which is 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 character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a 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】 【0004】 In recent years, illegal bicycle parking in urban areas has become a serious problem. In particular, for wheelchair users and visually impaired people, it hinders walking and impairs safety, so it is urgent to solve this problem. However, the current monitoring means rely on manual labor, and there is a problem that it is difficult to respond quickly and efficiently. Therefore, it is necessary to automatically detect illegal parking and promptly report it to the relevant authorities to improve the situation. 【Means for Solving the Problems】 【0005】 This invention provides a system comprising a camera for detecting moving objects, an information processing device that processes data acquired from the camera to determine the position of the moving object, and an information processing device that has the function of reporting to a designated agency via a communication device based on the determination result. The camera detects bicycles in a monitoring area in real time, and the information processing device automatically determines whether their position is illegal. If it is determined to be illegal, the communication device promptly notifies relevant agencies such as the city hall or police, and transmits detailed report data including location information, enabling a rapid response. In this way, the system provides a system that enables efficient and immediate problem solving. 【0006】 "Moving object" refers to an object, such as a bicycle, that is present within a specific area and is subject to surveillance. 【0007】 A "camera equipment" is a device that includes cameras and sensors for acquiring video data of moving objects within a surveillance area. 【0008】 "Data" refers to video and image information acquired by a camera, which serves as the raw material for analysis by an information processing device. 【0009】 An "information processing device" is a device such as a computer or server that analyzes and determines the positioning of a moving object based on data acquired from a camera. 【0010】 "Deployment status" refers to information indicating the positional relationship of a moving object within a specific area. 【0011】 A "communication device" is a device used to transmit report data to an external designated organization based on the judgment results of an information processing device. 【0012】 "Reporting" refers to the act of transmitting information about detected illegally parked bicycles, including details such as location information, to the relevant authorities. 【0013】 "System" refers collectively to a series of devices and related functions that constitute the present invention, which combine the imaging device, information processing device, and communication device. [Brief explanation of the drawing] 【0014】 [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 a data processing device and a 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 a sentiment engine is combined. 【Embodiments for Carrying Out the Invention】 【0015】 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. 【0016】 First, the terms used in the following description will be explained. 【0017】 In the following embodiments, a processor with a reference number (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. 【0018】 In the following embodiments, a RAM (Random Access Memory) with a reference number is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0019】 In the following embodiments, a storage with a reference number 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. 【0020】 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). 【0021】 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." 【0022】 [First Embodiment] 【0023】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0024】 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. 【0025】 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). 【0026】 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. 【0027】 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. 【0028】 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. 【0029】 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. 【0030】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0031】 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. 【0032】 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. 【0033】 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. 【0034】 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". 【0035】 This invention provides a system for efficiently monitoring and responding quickly to illegal parking of moving objects such as bicycles. Specifically, the system comprises a camera for detecting moving objects, an information processing device for processing data, and a communication device for sending notifications. 【0036】 First, the camera continuously acquires video data within the monitoring area and transmits this information to a server. The server then functions as an information processing device, inputting the received video data into an AI analysis model to determine the location of the moving object. The AI ​​analysis model uses computer vision technology to determine whether the moving object is parked in accordance with laws and regulations. 【0037】 When illegal parking is detected, the server generates detailed data, including location information and images of the scene, based on the detection result. This data is automatically transmitted via communication equipment to designated agencies such as city halls and police. This allows the relevant agencies to respond quickly. 【0038】 For example, if a user installs a camera in a designated monitoring area in a specific part of a city, the system will monitor that area 24 hours a day. The data acquired by the camera is transmitted to a server in real time, and the data is analyzed to determine if any vehicles are illegally parked. If illegal parking is confirmed, the server immediately notifies the designated relevant authorities and provides details of the location where action is needed. 【0039】 Thus, because this system utilizes AI-powered advanced analysis and automatic notification functions, it can suppress illegal parking more efficiently and accurately than conventional manual monitoring. This invention is expected to contribute to improving public safety and convenience in urban areas. 【0040】 The following describes the processing flow. 【0041】 Step 1: 【0042】 The camera continuously acquires video footage within the surveillance area and generates video data for each frame. 【0043】 Step 2: 【0044】 The server receives real-time video data transmitted from the camera over the network. 【0045】 Step 3: 【0046】 The server inputs the received video data into an AI analysis model to detect moving objects such as bicycles present in the image. 【0047】 Step 4: 【0048】 The server analyzes the location and position of the detected moving object and makes a judgment based on the established criteria for illegal parking. 【0049】 Step 5: 【0050】 If the server determines that a bicycle is illegally parked, it generates detailed data including location information and images of the site. 【0051】 Step 6: 【0052】 The server uses the generated detailed data to automatically create notifications for relevant organizations such as the city hall and the police. 【0053】 Step 7: 【0054】 The server transmits the notification data to the relevant organizations via communication equipment and verifies the success or failure of the notification. 【0055】 Step 8: 【0056】 The server stores notification history and detection records in a database to prepare for future analysis and reporting. 【0057】 Step 9: 【0058】 Users can access the database through their devices to view real-time monitoring results and notification history. 【0059】 (Example 1) 【0060】 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." 【0061】 Illegal parking and improper placement of moving objects in urban areas hinder public safety and the smooth flow of traffic. Furthermore, manually monitoring and resolving this situation requires considerable time and effort. With advancements in information technology, there is a growing need for systems that can solve these problems more efficiently and effectively. 【0062】 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. 【0063】 In this invention, the server includes means for transmitting information acquired from a video acquisition device, means for analyzing the information using a generated AI model in a central device that functions as an information processing device to determine the arrangement of objects, and means for automatically generating a report including location information and related images based on the determination result and quickly notifying the organization via communication means. This makes it possible to automatically detect the improper placement of moving objects and respond quickly. 【0064】 A "video acquisition device" is a device that continuously acquires video data in a specific monitoring area and transmits it to a central system. 【0065】 An "information processing device" is a device that analyzes received data and has the function of determining the positioning status of a moving object. 【0066】 A "generative AI model" is an artificial intelligence technology used to analyze acquired data and recognize and determine the arrangement of objects. 【0067】 "Communication means" refers to the means of transmitting analyzed information to remote organizations or related institutions. 【0068】 "Illegal placement" is a term that refers to a situation in which a moving object does not comply with specified laws or regulations. 【0069】 A "report" is a document that compiles detailed information, including the judgment results, location information, and related images. 【0070】 A "data storage device" is a device that records detection history and other related information, and allows for its retrieval and display as needed. 【0071】 A "terminal device" is a device used to access and visually display recorded data. 【0072】 This invention is a system that efficiently monitors the improper placement of mobile objects and automatically notifies the relevant authorities. The system consists of several main components, each of which plays a specific role. 【0073】 The server plays a central role, receiving video data transmitted from the video acquisition device. The server preprocesses the received data to convert it into a format suitable for AI analysis, and then uses a generated AI model to analyze it using computer vision technology. This analysis determines whether the moving object is positioned in compliance with laws and regulations. If the determination is incorrect, the server automatically generates a report including location information and on-site images. This report is then quickly transmitted to the relevant authorities via communication channels. 【0074】 The terminal works in conjunction with a data storage device that records the history of fraudulent placement detections, and is used by users to access and display the recorded data. This makes it easy to review past detection results. 【0075】 When users configure the system, one possible approach is to install cameras in the city center and monitor the area 24 hours a day. The data captured by these cameras is transmitted to a server in real time. The server immediately analyzes this data and, if illegal parking is detected, immediately issues a report. 【0076】 A specific example of a prompt message is, "Identify the conditions necessary to analyze fraudulent placement within the monitoring area." Based on this prompt, the AI ​​model is appropriately configured, enabling highly accurate determination. 【0077】 This system is expected to efficiently and effectively solve the problem of improper placement compared to manual monitoring, and to significantly improve public safety and convenience in cities. 【0078】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0079】 Step 1: 【0080】 The user installs a video acquisition device in the area they wish to monitor. This device continuously acquires video data 24 hours a day from a specific viewpoint. The input is real-time video data, and the output is compressed data sent to the server. 【0081】 Step 2: 【0082】 The server preprocesses the received video data in preparation for analysis. At this stage, the input is compressed video data, which is then denoised and the resolution adjusted before being converted into a data format for processing. The output is data in a format that can be efficiently analyzed by the AI ​​model. 【0083】 Step 3: 【0084】 The server inputs pre-processed data into the AI ​​analysis model. The generating AI model uses computer vision to recognize objects in the video and analyzes their arrangement. The input here is formatted video data, and the output is the determination of the object's arrangement and position information. 【0085】 Step 4: 【0086】 Based on the judgment results obtained from the AI ​​analysis model, the server automatically generates a detailed report if a moving object is improperly placed. The input here is the analysis result, and the output report includes location information and on-site images. 【0087】 Step 5: 【0088】 The server automatically sends the generated report to the relevant organization via communication channels. The input is a detailed report, and the output is a rapid notification to the appropriate agency. Specifically, the report clearly states the grounds for the alleged misconduct based on laws and regulations. 【0089】 Step 6: 【0090】 The terminal records the history of unauthorized placements in a data storage device and allows users to retrieve and view this data. Inputs are reports and judgment histories, while output is a user-accessible display of historical data. This allows users to review past situations and take necessary countermeasures. 【0091】 (Application Example 1) 【0092】 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." 【0093】 In modern urban areas, illegal parking of bicycles and other mobile vehicles has become a major social problem that disrupts public order and safe pedestrian environments. Traditional monitoring methods are manual, which have limitations in efficiency and make immediate response difficult. Against this backdrop, there is a growing need for a system that can efficiently and quickly detect illegally parked mobile vehicles and promptly provide information to users and relevant organizations. 【0094】 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. 【0095】 In this invention, the server includes an image acquisition means for detecting moving objects, an information processing means for processing data obtained from the image acquisition means and evaluating the position of the moving objects, an information processing means having a function to report to an external organization via a communication means based on the evaluation results, and a communication means for notifying the user of the position of the moving objects. This makes it possible to detect illegal parking in real time and immediately notify relevant organizations and users. 【0096】 "Transportation vehicles" refer to means of transporting people and goods, such as bicycles and scooters, used in urban areas. 【0097】 "Image acquisition means" refers to a device that uses cameras or sensor devices to acquire video and image data within a monitoring area. 【0098】 "Information processing means" refers to computer programs or systems that analyze acquired image data and determine the positioning status of a moving object. 【0099】 "Communication means" refers to network technologies and devices used to transmit data and information to other devices or organizations. 【0100】 An "external organization" refers to a public or private organization, such as a city hall or police, that receives information about illegal parking and takes appropriate action. 【0101】 "Users" refer to ordinary citizens and stakeholders who receive information provided by this system or take corresponding actions. 【0102】 "Data storage means" refers to a database or storage device for recording and saving the illegal deployment history of detected mobile objects. 【0103】 "Output means" refers to displays or mobile applications that can visually display recorded data to the user. 【0104】 This invention is a system for efficiently monitoring and responding quickly to illegal parking of mobile vehicles, and is mainly composed of a server, terminals, and users. 【0105】 The server receives video data in real time from a camera device that functions as an image acquisition tool. The received video data is analyzed by an information processing tool, and the positioning of moving objects is evaluated using a generated AI model. Based on the analysis results, if illegal parking is detected, the server immediately reports it to an external organization via a communication tool. At the same time, the user is also notified and provided with detailed parking information, including location information and images. 【0106】 The terminal visually displays the processed data to the user. A history of illegal deployments is stored in a data storage system, allowing for easy verification of the situation through the terminal. Based on this information, users can monitor and report on designated areas. 【0107】 Users can check the parking situation in monitored areas in real time via their smartphones. For example, if a user detects illegal parking in a park in a specific urban area, they can immediately understand the situation through app notifications and report it to the relevant authorities if necessary. 【0108】 An example of a prompt message from a generated AI model is: "Detect illegally parked bicycles from video data captured by camera devices installed in the park and notify the user of their location." 【0109】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0110】 Step 1: 【0111】 The server receives video data in real time from camera devices that function as image acquisition tools. The input is raw video data from the cameras, and the output is unprocessed video data stored in a database. In this step, data is collected from multiple cameras via the network and temporarily stored. 【0112】 Step 2: 【0113】 The server inputs the received video data into an AI analysis model and processes the data. The input is raw video data retrieved from a database, and the output is an analysis result showing the positioning of moving objects. The AI ​​analysis model uses a generative AI model to extract features from each frame of the video and determine whether or not it is illegal parking. 【0114】 Step 3: 【0115】 Based on the analysis results, the server evaluates the placement of moving objects and, if illegal parking is detected, generates detailed location information. The input is the analysis results obtained from the AI ​​analysis model, and the output is detailed data including the location information of the illegally parked bicycle. The server refers to GPS data and map information to pinpoint the exact location of the illegally parked bicycle. 【0116】 Step 4: 【0117】 The server transmits the generated detailed data to an external organization using communication methods, while simultaneously notifying the user's terminal. The input is detailed data, and the output is a report to the external organization and a notification to the user. In this step, rapid sharing with relevant parties is carried out using email or API calls. 【0118】 Step 5: 【0119】 The terminal visually presents and displays the received detailed data to the user. The input is detailed data sent from the server, and the output is visualized information about the parking situation that the user can check. The current situation is intuitively communicated to the user through map applications and notification banners. 【0120】 Step 6: 【0121】 Users use their smartphones to receive notifications and prompt external organizations to take action as needed. Input is the notified information about the bicycle parking situation, and output is the user's action choices and reporting activities. Users can easily give instructions and provide feedback through the app. 【0122】 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. 【0123】 This invention provides a system that effectively monitors the illegal placement of moving objects such as bicycles and enables flexible responses that take into account the user's emotions. This system consists of a camera that detects moving objects, an information processing device that processes the data, a communication device that issues notifications, and an emotion engine that recognizes the user's emotional state. 【0124】 First, the camera acquires video footage from the surveillance area and transmits this data to the server in real time. The server then functions as an information processing device, using AI-based image recognition technology to detect moving objects and determine whether their placement is illegal. 【0125】 When an illegal deployment is detected, the server generates detailed report data based on the detection result. At this time, the emotion engine analyzes the user's emotions and recognizes emotional states such as stress and anxiety. The emotion engine continuously learns, referencing the user's past usage data, to improve the accuracy of emotion analysis. 【0126】 If a user's emotions exceed a certain threshold, the server can select an alternative reporting procedure and consider an appropriate response that takes their emotions into account. The reported data is transmitted to the relevant organizations via communication devices, but the content of the report may be adjusted or additional information added depending on the user's emotional state. 【0127】 For example, if a user is using a system installed in front of a train station, and illegal parking is a frequent occurrence in that area, causing the user significant stress, the server will analyze the situation through its emotion engine and send a warning to the relevant authorities. In this way, a flexible response that is sensitive to the user's emotions becomes possible. 【0128】 This invention enables not only the rapid detection and reporting of illegally parked bicycles, but also considerate system operation that takes user feelings into account, and is expected to further improve public safety and the quality of services. 【0129】 The following describes the processing flow. 【0130】 Step 1: 【0131】 The camera continuously acquires video data within the monitoring area and generates each frame. 【0132】 Step 2: 【0133】 The server receives video data transmitted from the camera in real time. 【0134】 Step 3: 【0135】 The server feeds the received video data into an AI analysis model to detect moving objects such as bicycles in the images. 【0136】 Step 4: 【0137】 The server analyzes the location and status of the detected moving object and determines its illegality by comparing it against predetermined illegal parking criteria. 【0138】 Step 5: 【0139】 If the server determines that an illegal deployment has occurred, it will generate illegal deployment report data. This data includes location information and images of the site. 【0140】 Step 6: 【0141】 The emotion engine analyzes the user's emotional state through the system interface. This analysis utilizes everyday interactions and user feedback on the system. 【0142】 Step 7: 【0143】 The server checks whether the user's emotions exceed a threshold based on the analysis results of the emotion engine. 【0144】 Step 8: 【0145】 If the server detects that a user's emotional state exceeds a threshold, it will adjust the report, add special comments or warnings, and submit it to the relevant authorities. 【0146】 Step 9: 【0147】 The server transmits the generated report data to relevant organizations such as the city hall and the police via communication equipment. 【0148】 Step 10: 【0149】 The server stores the reporting history and sentiment analysis results in a database, which are then used for later analysis and system improvements. 【0150】 Step 11: 【0151】 Users can access the database on their devices to view their reporting history and emotional state history. 【0152】 (Example 2) 【0153】 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 will be referred to as the "terminal." 【0154】 The challenge lies in providing a rapid and effective monitoring and response to the illegal deployment of mobile devices while also considering the user's emotional state. Conventional technologies can simply detect the illegal deployment of mobile devices, but they have struggled to provide responses that reflect the user's psychological burden and emotional state. 【0155】 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. 【0156】 In this invention, the server includes a visual device means for recognizing a moving object, a data processing means for analyzing data acquired from the visual device to determine the location of the moving object, an information processing means equipped with an emotion analysis means for analyzing the user's emotional state based on the determination result, and a report generation means for creating a report to notify relevant organizations of the results via a communication means. This enables not only a rapid response to the illegal placement of moving objects, but also flexible and appropriate reporting that takes into account the user's emotions. 【0157】 "Mobile object" refers to any object that is physically movable, and in this invention, it specifically refers to individual mobile devices such as bicycles and motorcycles. 【0158】 A "visual device" is a device that monitors a specific area and captures video data, and in this invention, this includes cameras and sensors. 【0159】 "Data processing means" refers to a device that analyzes acquired video data and has the function of determining the positioning status of a moving object based on specific conditions. 【0160】 "Emotional analysis tools" refer to systems that analyze a user's emotional state based on their past data and current feedback, and evaluate factors such as stress and anxiety levels. 【0161】 "Report generation means" refers to a device that has the function of creating a report for notification to relevant organizations based on the judgment results and sentiment analysis results. 【0162】 "Communication means" includes technologies and devices for sending and receiving information, and in this invention, the Internet or other communication networks are used. 【0163】 To implement this invention, the first essential element is a visual device that recognizes moving objects, which is used to photograph the surveillance area and acquire video data. In this invention, a camera system fulfills this role and transmits the video data to a server via a communication network. 【0164】 Next, the server performs core information processing. The server uses data processing tools to analyze the received video data. This analysis employs AI-based image recognition technology to determine where the moving object is located and whether it is in an illegal location. A generative AI model is used for data processing. 【0165】 Furthermore, the server uses emotion analysis tools to analyze the user's emotional state. Based on the user's past interaction data and real-time feedback, it evaluates the user's current emotional state (e.g., stress, anxiety). The accuracy of these analysis results is improved through continuous learning using a neural network. 【0166】 Depending on the reporting method, the server generates a report for relevant organizations based on the analysis of the information. This report includes not only specific location information of illegal placements, but also information that takes into account the user's emotional state. 【0167】 This information is quickly transmitted to the relevant organizations via communication channels. During this process, the report may be adjusted or additional information may be included based on the user's sentiment analysis results. 【0168】 As a concrete example, consider a situation where a user encounters an unusually large number of illegally parked bicycles in front of a train station. The server immediately detects this illegal parking through video analysis and determines, using its emotion engine, that the user is in a high-stress state. In this case, the server sends a report, including a warning, to the relevant authorities. In this way, a flexible and effective response that takes emotions into consideration is achieved. 【0169】 An example of a prompt message is: "Illegal parking of bicycles is frequent in front of the station. Utilize the emotion engine based on the user's emotional data, and if the stress level is high, send a report with a warning." This allows the system to take appropriate action, taking into account the user's emotional state. 【0170】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0171】 Step 1: 【0172】 The server receives video data transmitted from the visual device. The input here is the video data provided by the visual device, and the output is the video data that can be processed. The server receives this data and stores it in a database. Specifically, video data arrives at the server via the network, and the server prepares to organize the data for the next processing step. 【0173】 Step 2: 【0174】 The server analyzes the received video data using a generating AI model to detect moving objects. The input here is the video data obtained in step 1, and the output is the location of the moving object and the result of determining whether or not it is illegally located. Specifically, the AI ​​model analyzes each frame of the video, recognizes the outline of the moving object, and compares them with a road map to determine its location. 【0175】 Step 3: 【0176】 The server analyzes the user's emotional state as needed, based on the detection results of the moving object. The input is the detection results of the moving object and the user's past emotional data, and the output is an evaluation of the user's current emotional state. The server uses an emotion engine to determine what emotional state the user is currently in (e.g., stress, anxiety). Specifically, it uses AI analysis to refer to past emotional history and real-time data to quantify the stress level. 【0177】 Step 4: 【0178】 The server generates a report based on the illegal placement determination results and sentiment analysis results. The input is the determination results and sentiment analysis results obtained in steps 2 and 3, and the output is report data to be sent to the relevant authorities. Specifically, the report includes the precise location of the moving object, the basis for illegality, and information that takes into account the user's emotional state. 【0179】 Step 5: 【0180】 The server transmits the generated report to the relevant organizations via communication channels. The input is the report data generated in step 4, and the output is the detailed report transmitted to the relevant organizations. Specifically, the server uses the communication interface to encode the report data using the appropriate protocol and transmits it to the designated contact. 【0181】 (Application Example 2) 【0182】 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". 【0183】 In modern cities, the illegal deployment of mobile vehicles poses a serious threat to public safety and order. However, conventional surveillance systems struggle to provide flexible responses that consider user sentiment, thus failing to achieve effective problem-solving. This invention aims to improve public safety and service quality by enabling rapid detection and reporting of illegal deployments, as well as providing appropriate and flexible responses that consider user sentiment. 【0184】 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. 【0185】 In this invention, the server includes a shooting means for detecting moving objects, an information processing means for processing data acquired from the shooting means and determining the position of the moving objects, an information processing means for reporting to relevant organizations via communication means based on the determination result and the user's emotional state, and an emotion recognition means for analyzing the user's emotional state. This enables rapid detection of illegal placements and adjustment of the reporting content to take the user's emotions into consideration. 【0186】 A "mobile object" is a general term for any object that can be moved to transport people or goods, such as a vehicle or a bicycle. 【0187】 "Means of photography" refers to a device or function that acquires visual information using a camera or similar device and processes it as digital data. 【0188】 "Information processing means" refers to a system or program that analyzes acquired digital data and performs judgments or calculations in accordance with a specific purpose. 【0189】 "Communication means" refers to a method or technology for transmitting data from one device to another device or organization. 【0190】 "Emotion recognition means" refers to technologies and programs for analyzing and identifying a user's emotional state as data. 【0191】 This invention is implemented by combining multiple hardware and software components to monitor the illegal deployment of mobile objects and to provide notifications that take into account the user's feelings. 【0192】 The server first acquires real-time video footage of the surveillance area using a camera or smart device. The acquired video data is then transmitted to the server. The server acts as an information processing device, using image analysis software such as TENSORFLOW® or OpenCV to detect moving objects from the video data and determine whether their placement is illegal. 【0193】 Furthermore, the user's device is equipped with software for emotion recognition, which analyzes the user's current emotional state based on their past data. Emotion recognition utilizes an emotion analysis model built in Python to quantitatively identify the user's state, such as stress and anxiety. 【0194】 If an illegal deployment is detected and the user's emotional state exceeds a certain threshold, the server will use the Twilio API and other communication methods to send an emotionally sensitive report to the relevant authorities. The content of this report will be adjusted according to the user's emotional state. 【0195】 As a concrete example, consider a case where illegal parking is rampant around a major public transportation hub in a certain city. If the server uses emotion recognition to analyze a user's high level of stress, in addition to the usual notification, a special warning will be sent to the relevant authorities. An example of a prompt message might be: "Illegal parking is rampant in this area. Are you feeling stressed? We will find the best solution for you." 【0196】 Thus, the present invention enables rapid and accurate detection of illegal deployments and a flexible reporting process that takes into account the user's feelings. 【0197】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0198】 Step 1: 【0199】 The server acquires video footage of the surveillance area using a camera. Real-time video data from the camera is input and transmitted to the server in a digital format. The output is a video data stream. Specifically, camera frames are sent sequentially to the server, and the analysis proceeds to the next step. 【0200】 Step 2: 【0201】 The server uses TensorFlow and OpenCV to analyze the received video data. The input is a video data stream. During data processing, objects in the image are identified, objects with the characteristics of moving objects are detected, and it is determined whether they are illegally placed. The output is the determination result and detailed information about the moving objects. Specifically, the object detection algorithm scans each frame of the video data and identifies specific patterns. 【0202】 Step 3: 【0203】 The device analyzes the user's emotional state using emotion recognition techniques. Inputs include the user's past usage data and real-time emotional input (e.g., heart rate and feedback). An emotion analysis model built in Python is used to calculate stress and anxiety levels through data computation, and the output is a numerical value representing the emotional state (e.g., an emotional score). Specifically, the score is calculated by combining past history and current data. 【0204】 Step 4: 【0205】 The server uses information processing tools to form a report based on the judgment result and the user's sentiment score. The inputs are the judgment result for illegal placement and a numerical value for the sentiment state. Data processing is performed by adding a warning that takes the user's sentiment into account to a standard report message. The output is the adjusted report content. Specifically, if a certain score is exceeded, additional information is added to the report. 【0206】 Step 5: 【0207】 The server uses communication methods such as the Twilio API to send the refined report to the relevant organizations. The input is the report content, which is packaged and sent according to the communication protocol. The output is the completion of the notification to the relevant organizations. Specifically, the API is called, and a text or notification is sent to the devices of the relevant organizations. 【0208】 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. 【0209】 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. 【0210】 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. 【0211】 [Second Embodiment] 【0212】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0213】 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. 【0214】 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). 【0215】 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. 【0216】 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. 【0217】 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). 【0218】 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. 【0219】 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. 【0220】 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. 【0221】 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. 【0222】 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. 【0223】 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". 【0224】 This invention provides a system for efficiently monitoring and responding quickly to illegal parking of moving objects such as bicycles. Specifically, the system comprises a camera for detecting moving objects, an information processing device for processing data, and a communication device for sending notifications. 【0225】 First, the camera continuously acquires video data within the monitoring area and transmits this information to a server. The server then functions as an information processing device, inputting the received video data into an AI analysis model to determine the location of the moving object. The AI ​​analysis model uses computer vision technology to determine whether the moving object is parked in accordance with laws and regulations. 【0226】 When illegal parking is detected, the server generates detailed data, including location information and images of the scene, based on the detection result. This data is automatically transmitted via communication equipment to designated agencies such as city halls and police. This allows the relevant agencies to respond quickly. 【0227】 For example, if a user installs a camera in a designated monitoring area in a specific part of a city, the system will monitor that area 24 hours a day. The data acquired by the camera is transmitted to a server in real time, and the data is analyzed to determine if any vehicles are illegally parked. If illegal parking is confirmed, the server immediately notifies the designated relevant authorities and provides details of the location where action is needed. 【0228】 Thus, because this system utilizes AI-powered advanced analysis and automatic notification functions, it can suppress illegal parking more efficiently and accurately than conventional manual monitoring. This invention is expected to contribute to improving public safety and convenience in urban areas. 【0229】 The following describes the processing flow. 【0230】 Step 1: 【0231】 The camera continuously acquires video footage within the surveillance area and generates video data for each frame. 【0232】 Step 2: 【0233】 The server receives real-time video data transmitted from the camera over the network. 【0234】 Step 3: 【0235】 The server inputs the received video data into an AI analysis model to detect moving objects such as bicycles present in the image. 【0236】 Step 4: 【0237】 The server analyzes the location and position of the detected moving object and makes a judgment based on the established criteria for illegal parking. 【0238】 Step 5: 【0239】 If the server determines that a bicycle is illegally parked, it generates detailed data including location information and images of the site. 【0240】 Step 6: 【0241】 The server uses the generated detailed data to automatically create notifications for relevant organizations such as the city hall and the police. 【0242】 Step 7: 【0243】 The server transmits the notification data to the relevant organizations via communication equipment and verifies the success or failure of the notification. 【0244】 Step 8: 【0245】 The server stores notification history and detection records in a database to prepare for future analysis and reporting. 【0246】 Step 9: 【0247】 Users can access the database through their devices to view real-time monitoring results and notification history. 【0248】 (Example 1) 【0249】 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." 【0250】 Illegal parking and improper placement of moving objects in urban areas hinder public safety and the smooth flow of traffic. Furthermore, manually monitoring and resolving this situation requires considerable time and effort. With advancements in information technology, there is a growing need for systems that can solve these problems more efficiently and effectively. 【0251】 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. 【0252】 In this invention, the server includes means for transmitting information acquired from a video acquisition device, means for analyzing the information using a generated AI model in a central device that functions as an information processing device to determine the arrangement of objects, and means for automatically generating a report including location information and related images based on the determination result and quickly notifying the organization via communication means. This makes it possible to automatically detect the improper placement of moving objects and respond quickly. 【0253】 A "video acquisition device" is a device that continuously acquires video data in a specific monitoring area and transmits it to a central system. 【0254】 An "information processing device" is a device that analyzes received data and has the function of determining the positioning status of a moving object. 【0255】 A "generative AI model" is an artificial intelligence technology used to analyze acquired data and recognize and determine the arrangement of objects. 【0256】 "Communication means" refers to the means of transmitting analyzed information to remote organizations or related institutions. 【0257】 "Illegal placement" is a term that refers to a situation in which a moving object does not comply with specified laws or regulations. 【0258】 A "report" is a document that compiles detailed information, including the judgment results, location information, and related images. 【0259】 A "data storage device" is a device that records detection history and other related information, and allows for its retrieval and display as needed. 【0260】 A "terminal device" is a device used to access and visually display recorded data. 【0261】 This invention is a system that efficiently monitors the improper placement of mobile objects and automatically notifies the relevant authorities. The system consists of several main components, each of which plays a specific role. 【0262】 The server plays a central role, receiving video data transmitted from the video acquisition device. The server preprocesses the received data to convert it into a format suitable for AI analysis, and then uses a generated AI model to analyze it using computer vision technology. This analysis determines whether the moving object is positioned in compliance with laws and regulations. If the determination is incorrect, the server automatically generates a report including location information and on-site images. This report is then quickly transmitted to the relevant authorities via communication channels. 【0263】 The terminal works in conjunction with a data storage device that records the history of fraudulent placement detections, and is used by users to access and display the recorded data. This makes it easy to review past detection results. 【0264】 When users configure the system, one possible approach is to install cameras in the city center and monitor the area 24 hours a day. The data captured by these cameras is transmitted to a server in real time. The server immediately analyzes this data and, if illegal parking is detected, immediately issues a report. 【0265】 A specific example of a prompt message is, "Identify the conditions necessary to analyze fraudulent placement within the monitoring area." Based on this prompt, the AI ​​model is appropriately configured, enabling highly accurate determination. 【0266】 This system is expected to efficiently and effectively solve the problem of improper placement compared to manual monitoring, and to significantly improve public safety and convenience in cities. 【0267】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0268】 Step 1: 【0269】 The user installs a video acquisition device in the area they wish to monitor. This device continuously acquires video data 24 hours a day from a specific viewpoint. The input is real-time video data, and the output is compressed data sent to the server. 【0270】 Step 2: 【0271】 The server preprocesses the received video data in preparation for analysis. At this stage, the input is compressed video data, which is then denoised and the resolution adjusted before being converted into a data format for processing. The output is data in a format that can be efficiently analyzed by the AI ​​model. 【0272】 Step 3: 【0273】 The server inputs pre-processed data into the AI ​​analysis model. The generating AI model uses computer vision to recognize objects in the video and analyzes their arrangement. The input here is formatted video data, and the output is the determination of the object's arrangement and position information. 【0274】 Step 4: 【0275】 Based on the judgment results obtained from the AI ​​analysis model, the server automatically generates a detailed report if a moving object is improperly placed. The input here is the analysis result, and the output report includes location information and on-site images. 【0276】 Step 5: 【0277】 The server automatically transmits the generated report to the relevant organization via the communication means. The input is a detailed report, and the output is a prompt notification to the corresponding institution. As a specific operation, the report clearly states the grounds for irregularities based on laws and regulations. 【0278】 Step 6: 【0279】 The terminal records the history of illegal placement in the data storage device and enables the user to perform operations to obtain and display it. The input is the report and the judgment history, and the output is the history data display accessible to the user. This makes it possible to check past situations and take corresponding measures as needed. 【0280】 (Application Example 1) 【0281】 Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal". 【0282】 In modern urban areas, illegal parking of moving objects such as bicycles has become a major social problem that hinders public order and a safe walking environment. Conventional monitoring methods are manual, with limitations in efficiency and difficulty in immediate response. Against this background, there is an increasing need for a system that can efficiently and quickly detect illegal parking of moving objects and promptly provide information to users and relevant institutions. 【0283】 The specific processing by the specific processing unit 2**90** of the data processing device 12 in Application Example 1 is realized by the following means. 【0284】 In this invention, the server includes an image acquisition means for detecting a moving object, an information processing means for processing the data obtained from the image acquisition means and evaluating the placement state of the moving object, an information processing means having a function of reporting to an external institution via the communication means based on the evaluation result, and a communication means for notifying the user of the placement situation of the moving object. This makes it possible to detect illegal parking in real time and immediately notify relevant institutions and users. 【0285】 The "mobile object" refers to a means of transportation for carrying people and objects, such as bicycles and scooters used in urban areas. 【0286】 The "image acquisition means" is a device for acquiring video and image data within a monitoring area using a camera or a sensor device. 【0287】 The "information processing means" is a computer program or system for analyzing the acquired image data and determining the placement state of the mobile object. 【0288】 The "communication means" is a network technology or device for transmitting data and information to other devices and institutions. 【0289】 The "external institution" is a public or private organization such as a city hall or a police station that receives information such as illegal parking and takes appropriate actions. 【0290】 The "user" is a member of the general public or a person concerned who receives information provided by this system and takes corresponding actions. 【0291】 The "data storage means" is a database or storage device for recording and storing the illegal placement history of the detected mobile object. 【0292】 The "output means" is a display or mobile application that can visually display the recorded data to the user. 【0293】 This invention is a system for efficiently monitoring and quickly responding to illegal parking of mobile objects, mainly composed of a server, a terminal, and a user. 【0294】 The server receives video data in real time from a camera device that functions as an image acquisition tool. The received video data is analyzed by an information processing tool, and the positioning of moving objects is evaluated using a generated AI model. Based on the analysis results, if illegal parking is detected, the server immediately reports it to an external organization via a communication tool. At the same time, the user is also notified and provided with detailed parking information, including location information and images. 【0295】 The terminal visually displays the processed data to the user. A history of illegal deployments is stored in a data storage system, allowing for easy verification of the situation through the terminal. Based on this information, users can monitor and report on designated areas. 【0296】 Users can check the parking situation in monitored areas in real time via their smartphones. For example, if a user detects illegal parking in a park in a specific urban area, they can immediately understand the situation through app notifications and report it to the relevant authorities if necessary. 【0297】 An example of a prompt message from a generated AI model is: "Detect illegally parked bicycles from video data captured by camera devices installed in the park and notify the user of their location." 【0298】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0299】 Step 1: 【0300】 The server receives video data in real time from camera devices that function as image acquisition tools. The input is raw video data from the cameras, and the output is unprocessed video data stored in a database. In this step, data is collected from multiple cameras via the network and temporarily stored. 【0301】 Step 2: 【0302】 The server inputs the received video data into the AI analysis model for data processing. The input is the raw video data retrieved from the database, and the output is the analysis result indicating the placement status of the moving object. The AI analysis model uses the generative AI model to extract features from each frame of the video and determine whether it is illegal parking. 【0303】 Step 3: 【0304】 Based on the analysis result, the server evaluates the placement status of the moving object. If illegal parking is detected, it generates detailed location information. The input is the analysis result obtained from the AI analysis model, and the output is the detailed data including the location information of the illegal parking. The server refers to GPS data and map information to identify the exact location of the illegal parking. 【0305】 Step 4: 【0306】 The server uses communication means to transmit the generated detailed data to external agencies and at the same time notifies the user's terminal. The input is the detailed data, and the output is the report to external agencies and the notification to the user. In this step, emails or API calls are used for quick sharing with relevant parties. 【0307】 Step 5: 【0308】 On the terminal, the received detailed data is visually provided to the user for display. The input is the detailed data transmitted from the server, and the output is the visualized information of the parking situation that the user can confirm. Through the map application or notification banner, the current situation is intuitively conveyed to the user. 【0309】 Step 6: 【0310】 Based on the information notified using the smartphone, the user prompts the external agency as needed. The input is the information on the notified parking situation, and the output is the action selection or reporting activity by the user. The user can easily give instructions or provide feedback through the application. 【0311】 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. 【0312】 This invention provides a system that effectively monitors the illegal placement of moving objects such as bicycles and enables flexible responses that take into account the user's emotions. This system consists of a camera that detects moving objects, an information processing device that processes the data, a communication device that issues notifications, and an emotion engine that recognizes the user's emotional state. 【0313】 First, the camera acquires video footage from the surveillance area and transmits this data to the server in real time. The server then functions as an information processing device, using AI-based image recognition technology to detect moving objects and determine whether their placement is illegal. 【0314】 When an illegal deployment is detected, the server generates detailed report data based on the detection result. At this time, the emotion engine analyzes the user's emotions and recognizes emotional states such as stress and anxiety. The emotion engine continuously learns, referencing the user's past usage data, to improve the accuracy of emotion analysis. 【0315】 If a user's emotions exceed a certain threshold, the server can select an alternative reporting procedure and consider an appropriate response that takes their emotions into account. The reported data is transmitted to the relevant organizations via communication devices, but the content of the report may be adjusted or additional information added depending on the user's emotional state. 【0316】 For example, if a user is using a system installed in front of a train station, and illegal parking is a frequent occurrence in that area, causing the user significant stress, the server will analyze the situation through its emotion engine and send a warning to the relevant authorities. In this way, a flexible response that is sensitive to the user's emotions becomes possible. 【0317】 This invention enables not only the rapid detection and reporting of illegally parked bicycles, but also considerate system operation that takes user feelings into account, and is expected to further improve public safety and the quality of services. 【0318】 The following describes the processing flow. 【0319】 Step 1: 【0320】 The camera continuously acquires video data within the monitoring area and generates each frame. 【0321】 Step 2: 【0322】 The server receives video data transmitted from the camera in real time. 【0323】 Step 3: 【0324】 The server feeds the received video data into an AI analysis model to detect moving objects such as bicycles in the images. 【0325】 Step 4: 【0326】 The server analyzes the location and status of the detected moving object and determines its illegality by comparing it against predetermined illegal parking criteria. 【0327】 Step 5: 【0328】 If the server determines that an illegal deployment has occurred, it will generate illegal deployment report data. This data includes location information and images of the site. 【0329】 Step 6: 【0330】 The emotion engine analyzes the user's emotional state through the system interface. This analysis utilizes everyday interactions and user feedback on the system. 【0331】 Step 7: 【0332】 The server checks whether the user's emotions exceed a threshold based on the analysis results of the emotion engine. 【0333】 Step 8: 【0334】 If the server detects that a user's emotional state exceeds a threshold, it will adjust the report, add special comments or warnings, and submit it to the relevant authorities. 【0335】 Step 9: 【0336】 The server transmits the generated report data to relevant organizations such as the city hall and the police via communication equipment. 【0337】 Step 10: 【0338】 The server stores the reporting history and sentiment analysis results in a database, which are then used for later analysis and system improvements. 【0339】 Step 11: 【0340】 Users can access the database on their devices to view their reporting history and emotional state history. 【0341】 (Example 2) 【0342】 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". 【0343】 The challenge lies in providing a rapid and effective monitoring and response to the illegal deployment of mobile devices while also considering the user's emotional state. Conventional technologies can simply detect the illegal deployment of mobile devices, but they have struggled to provide responses that reflect the user's psychological burden and emotional state. 【0344】 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. 【0345】 In this invention, the server includes a visual device means for recognizing a moving object, a data processing means for analyzing data acquired from the visual device to determine the location of the moving object, an information processing means equipped with an emotion analysis means for analyzing the user's emotional state based on the determination result, and a report generation means for creating a report to notify relevant organizations of the results via a communication means. This enables not only a rapid response to the illegal placement of moving objects, but also flexible and appropriate reporting that takes into account the user's emotions. 【0346】 "Mobile object" refers to any object that is physically movable, and in this invention, it specifically refers to individual mobile devices such as bicycles and motorcycles. 【0347】 A "visual device" is a device that monitors a specific area and captures video data, and in this invention, this includes cameras and sensors. 【0348】 "Data processing means" refers to a device that analyzes acquired video data and has the function of determining the positioning status of a moving object based on specific conditions. 【0349】 "Emotional analysis tools" refer to systems that analyze a user's emotional state based on their past data and current feedback, and evaluate factors such as stress and anxiety levels. 【0350】 "Report generation means" refers to a device that has the function of creating a report for notification to relevant organizations based on the judgment results and sentiment analysis results. 【0351】 "Communication means" includes technologies and devices for sending and receiving information, and in this invention, the Internet or other communication networks are used. 【0352】 To implement this invention, the first essential element is a visual device that recognizes moving objects, which is used to photograph the surveillance area and acquire video data. In this invention, a camera system fulfills this role and transmits the video data to a server via a communication network. 【0353】 Next, the server performs core information processing. The server uses data processing tools to analyze the received video data. This analysis employs AI-based image recognition technology to determine where the moving object is located and whether it is in an illegal location. A generative AI model is used for data processing. 【0354】 Furthermore, the server uses emotion analysis tools to analyze the user's emotional state. Based on the user's past interaction data and real-time feedback, it evaluates the user's current emotional state (e.g., stress, anxiety). The accuracy of these analysis results is improved through continuous learning using a neural network. 【0355】 Depending on the reporting method, the server generates a report for relevant organizations based on the analysis of the information. This report includes not only specific location information of illegal placements, but also information that takes into account the user's emotional state. 【0356】 This information is quickly transmitted to the relevant organizations via communication channels. During this process, the report may be adjusted or additional information may be included based on the user's sentiment analysis results. 【0357】 As a concrete example, consider a situation where a user encounters an unusually large number of illegally parked bicycles in front of a train station. The server immediately detects this illegal parking through video analysis and determines, using its emotion engine, that the user is in a high-stress state. In this case, the server sends a report, including a warning, to the relevant authorities. In this way, a flexible and effective response that takes emotions into consideration is achieved. 【0358】 An example of a prompt message is: "Illegal parking of bicycles is frequent in front of the station. Utilize the emotion engine based on the user's emotional data, and if the stress level is high, send a report with a warning." This allows the system to take appropriate action, taking into account the user's emotional state. 【0359】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0360】 Step 1: 【0361】 The server receives video data transmitted from the visual device. The input here is the video data provided by the visual device, and the output is the video data that can be processed. The server receives this data and stores it in a database. Specifically, video data arrives at the server via the network, and the server prepares to organize the data for the next processing step. 【0362】 Step 2: 【0363】 The server analyzes the received video data using a generating AI model to detect moving objects. The input here is the video data obtained in step 1, and the output is the location of the moving object and the result of determining whether or not it is illegally located. Specifically, the AI ​​model analyzes each frame of the video, recognizes the outline of the moving object, and compares them with a road map to determine its location. 【0364】 Step 3: 【0365】 The server analyzes the user's emotional state as needed, based on the detection results of the moving object. The input is the detection results of the moving object and the user's past emotional data, and the output is an evaluation of the user's current emotional state. The server uses an emotion engine to determine what emotional state the user is currently in (e.g., stress, anxiety). Specifically, it uses AI analysis to refer to past emotional history and real-time data to quantify the stress level. 【0366】 Step 4: 【0367】 The server generates a report based on the illegal placement determination results and sentiment analysis results. The input is the determination results and sentiment analysis results obtained in steps 2 and 3, and the output is report data to be sent to the relevant authorities. Specifically, the report includes the precise location of the moving object, the basis for illegality, and information that takes into account the user's emotional state. 【0368】 Step 5: 【0369】 The server transmits the generated report to the relevant organizations via communication channels. The input is the report data generated in step 4, and the output is the detailed report transmitted to the relevant organizations. Specifically, the server uses the communication interface to encode the report data using the appropriate protocol and transmits it to the designated contact. 【0370】 (Application Example 2) 【0371】 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 will be referred to as the "terminal." 【0372】 In modern cities, the illegal deployment of mobile vehicles poses a serious threat to public safety and order. However, conventional surveillance systems struggle to provide flexible responses that consider user sentiment, thus failing to achieve effective problem-solving. This invention aims to improve public safety and service quality by enabling rapid detection and reporting of illegal deployments, as well as providing appropriate and flexible responses that consider user sentiment. 【0373】 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. 【0374】 In this invention, the server includes a shooting means for detecting moving objects, an information processing means for processing data acquired from the shooting means and determining the position of the moving objects, an information processing means for reporting to relevant organizations via communication means based on the determination result and the user's emotional state, and an emotion recognition means for analyzing the user's emotional state. This enables rapid detection of illegal placements and adjustment of the reporting content to take the user's emotions into consideration. 【0375】 A "mobile object" is a general term for any object that can be moved to transport people or goods, such as a vehicle or a bicycle. 【0376】 "Means of photography" refers to a device or function that acquires visual information using a camera or similar device and processes it as digital data. 【0377】 "Information processing means" refers to a system or program that analyzes acquired digital data and performs judgments or calculations in accordance with a specific purpose. 【0378】 "Communication means" refers to a method or technology for transmitting data from one device to another device or organization. 【0379】 "Emotion recognition means" refers to technologies and programs for analyzing and identifying a user's emotional state as data. 【0380】 This invention is implemented by combining multiple hardware and software components to monitor the illegal deployment of mobile objects and to provide notifications that take into account the user's feelings. 【0381】 The server first acquires real-time video footage of the surveillance area using a camera or smart device. The acquired video data is then sent to the server. The server acts as an information processing tool, using image analysis software such as TensorFlow or OpenCV to detect moving objects from the video data and determine whether their placement is illegal. 【0382】 Furthermore, the user's device is equipped with software for emotion recognition, which analyzes the user's current emotional state based on their past data. Emotion recognition utilizes an emotion analysis model built in Python to quantitatively identify the user's state, such as stress and anxiety. 【0383】 If an illegal deployment is detected and the user's emotional state exceeds a certain threshold, the server will use the Twilio API and other communication methods to send an emotionally sensitive report to the relevant authorities. The content of this report will be adjusted according to the user's emotional state. 【0384】 As a concrete example, consider a case where illegal parking is rampant around a major public transportation hub in a certain city. If the server uses emotion recognition to analyze a user's high level of stress, in addition to the usual notification, a special warning will be sent to the relevant authorities. An example of a prompt message might be: "Illegal parking is rampant in this area. Are you feeling stressed? We will find the best solution for you." 【0385】 Thus, the present invention enables rapid and accurate detection of illegal deployments and a flexible reporting process that takes into account the user's feelings. 【0386】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0387】 Step 1: 【0388】 The server acquires video footage of the surveillance area using a camera. Real-time video data from the camera is input and transmitted to the server in a digital format. The output is a video data stream. Specifically, camera frames are sent sequentially to the server, and the analysis proceeds to the next step. 【0389】 Step 2: 【0390】 The server uses TensorFlow and OpenCV to analyze the received video data. The input is a video data stream. During data processing, objects in the image are identified, objects with the characteristics of moving objects are detected, and it is determined whether they are illegally placed. The output is the determination result and detailed information about the moving objects. Specifically, the object detection algorithm scans each frame of the video data and identifies specific patterns. 【0391】 Step 3: 【0392】 The device analyzes the user's emotional state using emotion recognition techniques. Inputs include the user's past usage data and real-time emotional input (e.g., heart rate and feedback). An emotion analysis model built in Python is used to calculate stress and anxiety levels through data computation, and the output is a numerical value representing the emotional state (e.g., an emotional score). Specifically, the score is calculated by combining past history and current data. 【0393】 Step 4: 【0394】 The server uses information processing tools to form a report based on the judgment result and the user's sentiment score. The inputs are the judgment result for illegal placement and a numerical value for the sentiment state. Data processing is performed by adding a warning that takes the user's sentiment into account to a standard report message. The output is the adjusted report content. Specifically, if a certain score is exceeded, additional information is added to the report. 【0395】 Step 5: 【0396】 The server uses communication methods such as the Twilio API to send the refined report to the relevant organizations. The input is the report content, which is packaged and sent according to the communication protocol. The output is the completion of the notification to the relevant organizations. Specifically, the API is called, and a text or notification is sent to the devices of the relevant organizations. 【0397】 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. 【0398】 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. 【0399】 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. 【0400】 [Third Embodiment] 【0401】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0402】 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. 【0403】 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). 【0404】 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. 【0405】 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. 【0406】 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). 【0407】 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. 【0408】 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. 【0409】 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. 【0410】 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. 【0411】 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. 【0412】 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". 【0413】 This invention provides a system for efficiently monitoring and responding quickly to illegal parking of moving objects such as bicycles. Specifically, the system comprises a camera for detecting moving objects, an information processing device for processing data, and a communication device for sending notifications. 【0414】 First, the camera continuously acquires video data within the monitoring area and transmits this information to a server. The server then functions as an information processing device, inputting the received video data into an AI analysis model to determine the location of the moving object. The AI ​​analysis model uses computer vision technology to determine whether the moving object is parked in accordance with laws and regulations. 【0415】 When illegal parking is detected, the server generates detailed data, including location information and images of the scene, based on the detection result. This data is automatically transmitted via communication equipment to designated agencies such as city halls and police. This allows the relevant agencies to respond quickly. 【0416】 For example, if a user installs a camera in a designated monitoring area in a specific part of a city, the system will monitor that area 24 hours a day. The data acquired by the camera is transmitted to a server in real time, and the data is analyzed to determine if any vehicles are illegally parked. If illegal parking is confirmed, the server immediately notifies the designated relevant authorities and provides details of the location where action is needed. 【0417】 Thus, because this system utilizes AI-powered advanced analysis and automatic notification functions, it can suppress illegal parking more efficiently and accurately than conventional manual monitoring. This invention is expected to contribute to improving public safety and convenience in urban areas. 【0418】 The following describes the processing flow. 【0419】 Step 1: 【0420】 The camera continuously acquires video footage within the surveillance area and generates video data for each frame. 【0421】 Step 2: 【0422】 The server receives real-time video data transmitted from the camera over the network. 【0423】 Step 3: 【0424】 The server inputs the received video data into an AI analysis model to detect moving objects such as bicycles present in the image. 【0425】 Step 4: 【0426】 The server analyzes the location and position of the detected moving object and makes a judgment based on the established criteria for illegal parking. 【0427】 Step 5: 【0428】 If the server determines that a bicycle is illegally parked, it generates detailed data including location information and images of the site. 【0429】 Step 6: 【0430】 The server uses the generated detailed data to automatically create notifications for relevant organizations such as the city hall and the police. 【0431】 Step 7: 【0432】 The server transmits the notification data to the relevant organizations via communication equipment and verifies the success or failure of the notification. 【0433】 Step 8: 【0434】 The server stores notification history and detection records in a database to prepare for future analysis and reporting. 【0435】 Step 9: 【0436】 Users can access the database through their devices to view real-time monitoring results and notification history. 【0437】 (Example 1) 【0438】 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." 【0439】 Illegal parking and improper placement of moving objects in urban areas hinder public safety and the smooth flow of traffic. Furthermore, manually monitoring and resolving this situation requires considerable time and effort. With advancements in information technology, there is a growing need for systems that can solve these problems more efficiently and effectively. 【0440】 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. 【0441】 In this invention, the server includes means for transmitting information acquired from a video acquisition device, means for analyzing the information using a generated AI model in a central device that functions as an information processing device to determine the arrangement of objects, and means for automatically generating a report including location information and related images based on the determination result and quickly notifying the organization via communication means. This makes it possible to automatically detect the improper placement of moving objects and respond quickly. 【0442】 A "video acquisition device" is a device that continuously acquires video data in a specific monitoring area and transmits it to a central system. 【0443】 An "information processing device" is a device that analyzes received data and has the function of determining the positioning status of a moving object. 【0444】 A "generative AI model" is an artificial intelligence technology used to analyze acquired data and recognize and determine the arrangement of objects. 【0445】 "Communication means" refers to the means of transmitting analyzed information to remote organizations or related institutions. 【0446】 "Illegal placement" is a term that refers to a situation in which a moving object does not comply with specified laws or regulations. 【0447】 A "report" is a document that compiles detailed information, including the judgment results, location information, and related images. 【0448】 A "data storage device" is a device that records detection history and other related information, and allows for its retrieval and display as needed. 【0449】 A "terminal device" is a device used to access and visually display recorded data. 【0450】 This invention is a system that efficiently monitors the improper placement of mobile objects and automatically notifies the relevant authorities. The system consists of several main components, each of which plays a specific role. 【0451】 The server plays a central role, receiving video data transmitted from the video acquisition device. The server preprocesses the received data to convert it into a format suitable for AI analysis, and then uses a generated AI model to analyze it using computer vision technology. This analysis determines whether the moving object is positioned in compliance with laws and regulations. If the determination is incorrect, the server automatically generates a report including location information and on-site images. This report is then quickly transmitted to the relevant authorities via communication channels. 【0452】 The terminal works in conjunction with a data storage device that records the history of fraudulent placement detections, and is used by users to access and display the recorded data. This makes it easy to review past detection results. 【0453】 When users configure the system, one possible approach is to install cameras in the city center and monitor the area 24 hours a day. The data captured by these cameras is transmitted to a server in real time. The server immediately analyzes this data and, if illegal parking is detected, immediately issues a report. 【0454】 A specific example of a prompt message is, "Identify the conditions necessary to analyze fraudulent placement within the monitoring area." Based on this prompt, the AI ​​model is appropriately configured, enabling highly accurate determination. 【0455】 This system is expected to efficiently and effectively solve the problem of improper placement compared to manual monitoring, and to significantly improve public safety and convenience in cities. 【0456】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0457】 Step 1: 【0458】 The user installs a video acquisition device in the area they wish to monitor. This device continuously acquires video data 24 hours a day from a specific viewpoint. The input is real-time video data, and the output is compressed data sent to the server. 【0459】 Step 2: 【0460】 The server preprocesses the received video data in preparation for analysis. At this stage, the input is compressed video data, which is then denoised and the resolution adjusted before being converted into a data format for processing. The output is data in a format that can be efficiently analyzed by the AI ​​model. 【0461】 Step 3: 【0462】 The server inputs pre-processed data into the AI ​​analysis model. The generating AI model uses computer vision to recognize objects in the video and analyzes their arrangement. The input here is formatted video data, and the output is the determination of the object's arrangement and position information. 【0463】 Step 4: 【0464】 Based on the judgment results obtained from the AI ​​analysis model, the server automatically generates a detailed report if a moving object is improperly placed. The input here is the analysis result, and the output report includes location information and on-site images. 【0465】 Step 5: 【0466】 The server automatically sends the generated report to the relevant organization via communication channels. The input is a detailed report, and the output is a rapid notification to the appropriate agency. Specifically, the report clearly states the grounds for the alleged misconduct based on laws and regulations. 【0467】 Step 6: 【0468】 The terminal records the history of unauthorized placements in a data storage device and allows users to retrieve and view this data. Inputs are reports and judgment histories, while output is a user-accessible display of historical data. This allows users to review past situations and take necessary countermeasures. 【0469】 (Application Example 1) 【0470】 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." 【0471】 In modern urban areas, illegal parking of bicycles and other mobile vehicles has become a major social problem that disrupts public order and safe pedestrian environments. Traditional monitoring methods are manual, which have limitations in efficiency and make immediate response difficult. Against this backdrop, there is a growing need for a system that can efficiently and quickly detect illegally parked mobile vehicles and promptly provide information to users and relevant organizations. 【0472】 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. 【0473】 In this invention, the server includes an image acquisition means for detecting moving objects, an information processing means for processing data obtained from the image acquisition means and evaluating the position of the moving objects, an information processing means having a function to report to an external organization via a communication means based on the evaluation results, and a communication means for notifying the user of the position of the moving objects. This makes it possible to detect illegal parking in real time and immediately notify relevant organizations and users. 【0474】 "Transportation vehicles" refer to means of transporting people and goods, such as bicycles and scooters, used in urban areas. 【0475】 "Image acquisition means" refers to a device that uses cameras or sensor devices to acquire video and image data within a monitoring area. 【0476】 "Information processing means" refers to computer programs or systems that analyze acquired image data and determine the positioning status of a moving object. 【0477】 "Communication means" refers to network technologies and devices used to transmit data and information to other devices or organizations. 【0478】 An "external organization" refers to a public or private organization, such as a city hall or police, that receives information about illegal parking and takes appropriate action. 【0479】 "Users" refer to ordinary citizens and stakeholders who receive information provided by this system or take corresponding actions. 【0480】 "Data storage means" refers to a database or storage device for recording and saving the illegal deployment history of detected mobile objects. 【0481】 "Output means" refers to displays or mobile applications that can visually display recorded data to the user. 【0482】 This invention is a system for efficiently monitoring and responding quickly to illegal parking of mobile vehicles, and is mainly composed of a server, terminals, and users. 【0483】 The server receives video data in real time from a camera device that functions as an image acquisition tool. The received video data is analyzed by an information processing tool, and the positioning of moving objects is evaluated using a generated AI model. Based on the analysis results, if illegal parking is detected, the server immediately reports it to an external organization via a communication tool. At the same time, the user is also notified and provided with detailed parking information, including location information and images. 【0484】 The terminal visually displays the processed data to the user. A history of illegal deployments is stored in a data storage system, allowing for easy verification of the situation through the terminal. Based on this information, users can monitor and report on designated areas. 【0485】 Users can check the parking situation in monitored areas in real time via their smartphones. For example, if a user detects illegal parking in a park in a specific urban area, they can immediately understand the situation through app notifications and report it to the relevant authorities if necessary. 【0486】 An example of a prompt message from a generated AI model is: "Detect illegally parked bicycles from video data captured by camera devices installed in the park and notify the user of their location." 【0487】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0488】 Step 1: 【0489】 The server receives video data in real time from camera devices that function as image acquisition tools. The input is raw video data from the cameras, and the output is unprocessed video data stored in a database. In this step, data is collected from multiple cameras via the network and temporarily stored. 【0490】 Step 2: 【0491】 The server inputs the received video data into an AI analysis model and processes the data. The input is raw video data retrieved from a database, and the output is an analysis result showing the positioning of moving objects. The AI ​​analysis model uses a generative AI model to extract features from each frame of the video and determine whether or not it is illegal parking. 【0492】 Step 3: 【0493】 Based on the analysis results, the server evaluates the placement of moving objects and, if illegal parking is detected, generates detailed location information. The input is the analysis results obtained from the AI ​​analysis model, and the output is detailed data including the location information of the illegally parked bicycle. The server refers to GPS data and map information to pinpoint the exact location of the illegally parked bicycle. 【0494】 Step 4: 【0495】 The server transmits the generated detailed data to an external organization using communication methods, while simultaneously notifying the user's terminal. The input is detailed data, and the output is a report to the external organization and a notification to the user. In this step, rapid sharing with relevant parties is carried out using email or API calls. 【0496】 Step 5: 【0497】 The terminal visually presents and displays the received detailed data to the user. The input is detailed data sent from the server, and the output is visualized information about the parking situation that the user can check. The current situation is intuitively communicated to the user through map applications and notification banners. 【0498】 Step 6: 【0499】 Users use their smartphones to receive notifications and prompt external organizations to take action as needed. Input is the notified information about the bicycle parking situation, and output is the user's action choices and reporting activities. Users can easily give instructions and provide feedback through the app. 【0500】 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. 【0501】 This invention provides a system that effectively monitors the illegal placement of moving objects such as bicycles and enables flexible responses that take into account the user's emotions. This system consists of a camera that detects moving objects, an information processing device that processes the data, a communication device that issues notifications, and an emotion engine that recognizes the user's emotional state. 【0502】 First, the camera acquires video footage from the surveillance area and transmits this data to the server in real time. The server then functions as an information processing device, using AI-based image recognition technology to detect moving objects and determine whether their placement is illegal. 【0503】 When an illegal deployment is detected, the server generates detailed report data based on the detection result. At this time, the emotion engine analyzes the user's emotions and recognizes emotional states such as stress and anxiety. The emotion engine continuously learns, referencing the user's past usage data, to improve the accuracy of emotion analysis. 【0504】 If a user's emotions exceed a certain threshold, the server can select an alternative reporting procedure and consider an appropriate response that takes their emotions into account. The reported data is transmitted to the relevant organizations via communication devices, but the content of the report may be adjusted or additional information added depending on the user's emotional state. 【0505】 For example, if a user is using a system installed in front of a train station, and illegal parking is a frequent occurrence in that area, causing the user significant stress, the server will analyze the situation through its emotion engine and send a warning to the relevant authorities. In this way, a flexible response that is sensitive to the user's emotions becomes possible. 【0506】 This invention enables not only the rapid detection and reporting of illegally parked bicycles, but also considerate system operation that takes user feelings into account, and is expected to further improve public safety and the quality of services. 【0507】 The following describes the processing flow. 【0508】 Step 1: 【0509】 The camera continuously acquires video data within the monitoring area and generates each frame. 【0510】 Step 2: 【0511】 The server receives video data transmitted from the camera in real time. 【0512】 Step 3: 【0513】 The server feeds the received video data into an AI analysis model to detect moving objects such as bicycles in the images. 【0514】 Step 4: 【0515】 The server analyzes the location and status of the detected moving object and determines its illegality by comparing it against predetermined illegal parking criteria. 【0516】 Step 5: 【0517】 If the server determines that an illegal deployment has occurred, it will generate illegal deployment report data. This data includes location information and images of the site. 【0518】 Step 6: 【0519】 The emotion engine analyzes the user's emotional state through the system interface. This analysis utilizes everyday interactions and user feedback on the system. 【0520】 Step 7: 【0521】 The server checks whether the user's emotions exceed a threshold based on the analysis results of the emotion engine. 【0522】 Step 8: 【0523】 If the server detects that a user's emotional state exceeds a threshold, it will adjust the report, add special comments or warnings, and submit it to the relevant authorities. 【0524】 Step 9: 【0525】 The server transmits the generated report data to relevant organizations such as the city hall and the police via communication equipment. 【0526】 Step 10: 【0527】 The server stores the reporting history and sentiment analysis results in a database, which are then used for later analysis and system improvements. 【0528】 Step 11: 【0529】 Users can access the database on their devices to view their reporting history and emotional state history. 【0530】 (Example 2) 【0531】 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." 【0532】 The challenge lies in providing a rapid and effective monitoring and response to the illegal deployment of mobile devices while also considering the user's emotional state. Conventional technologies can simply detect the illegal deployment of mobile devices, but they have struggled to provide responses that reflect the user's psychological burden and emotional state. 【0533】 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. 【0534】 In this invention, the server includes a visual device means for recognizing a moving object, a data processing means for analyzing data acquired from the visual device to determine the location of the moving object, an information processing means equipped with an emotion analysis means for analyzing the user's emotional state based on the determination result, and a report generation means for creating a report to notify relevant organizations of the results via a communication means. This enables not only a rapid response to the illegal placement of moving objects, but also flexible and appropriate reporting that takes into account the user's emotions. 【0535】 "Mobile object" refers to any object that is physically movable, and in this invention, it specifically refers to individual mobile devices such as bicycles and motorcycles. 【0536】 A "visual device" is a device that monitors a specific area and captures video data, and in this invention, this includes cameras and sensors. 【0537】 "Data processing means" refers to a device that analyzes acquired video data and has the function of determining the positioning status of a moving object based on specific conditions. 【0538】 "Emotional analysis tools" refer to systems that analyze a user's emotional state based on their past data and current feedback, and evaluate factors such as stress and anxiety levels. 【0539】 "Report generation means" refers to a device that has the function of creating a report for notification to relevant organizations based on the judgment results and sentiment analysis results. 【0540】 "Communication means" includes technologies and devices for sending and receiving information, and in this invention, the Internet or other communication networks are used. 【0541】 To implement this invention, the first essential element is a visual device that recognizes moving objects, which is used to photograph the surveillance area and acquire video data. In this invention, a camera system fulfills this role and transmits the video data to a server via a communication network. 【0542】 Next, the server performs core information processing. The server uses data processing tools to analyze the received video data. This analysis employs AI-based image recognition technology to determine where the moving object is located and whether it is in an illegal location. A generative AI model is used for data processing. 【0543】 Furthermore, the server uses emotion analysis tools to analyze the user's emotional state. Based on the user's past interaction data and real-time feedback, it evaluates the user's current emotional state (e.g., stress, anxiety). The accuracy of these analysis results is improved through continuous learning using a neural network. 【0544】 Depending on the reporting method, the server generates a report for relevant organizations based on the analysis of the information. This report includes not only specific location information of illegal placements, but also information that takes into account the user's emotional state. 【0545】 This information is quickly transmitted to the relevant organizations via communication channels. During this process, the report may be adjusted or additional information may be included based on the user's sentiment analysis results. 【0546】 As a concrete example, consider a situation where a user encounters an unusually large number of illegally parked bicycles in front of a train station. The server immediately detects this illegal parking through video analysis and determines, using its emotion engine, that the user is in a high-stress state. In this case, the server sends a report, including a warning, to the relevant authorities. In this way, a flexible and effective response that takes emotions into consideration is achieved. 【0547】 An example of a prompt message is: "Illegal parking of bicycles is frequent in front of the station. Utilize the emotion engine based on the user's emotional data, and if the stress level is high, send a report with a warning." This allows the system to take appropriate action, taking into account the user's emotional state. 【0548】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0549】 Step 1: 【0550】 The server receives video data transmitted from the visual device. The input here is the video data provided by the visual device, and the output is the video data that can be processed. The server receives this data and stores it in a database. Specifically, video data arrives at the server via the network, and the server prepares to organize the data for the next processing step. 【0551】 Step 2: 【0552】 The server analyzes the received video data using a generating AI model to detect moving objects. The input here is the video data obtained in step 1, and the output is the location of the moving object and the result of determining whether or not it is illegally located. Specifically, the AI ​​model analyzes each frame of the video, recognizes the outline of the moving object, and compares them with a road map to determine its location. 【0553】 Step 3: 【0554】 The server analyzes the user's emotional state as needed, based on the detection results of the moving object. The input is the detection results of the moving object and the user's past emotional data, and the output is an evaluation of the user's current emotional state. The server uses an emotion engine to determine what emotional state the user is currently in (e.g., stress, anxiety). Specifically, it uses AI analysis to refer to past emotional history and real-time data to quantify the stress level. 【0555】 Step 4: 【0556】 The server generates a report based on the illegal placement determination results and sentiment analysis results. The input is the determination results and sentiment analysis results obtained in steps 2 and 3, and the output is report data to be sent to the relevant authorities. Specifically, the report includes the precise location of the moving object, the basis for illegality, and information that takes into account the user's emotional state. 【0557】 Step 5: 【0558】 The server transmits the generated report to the relevant organizations via communication channels. The input is the report data generated in step 4, and the output is the detailed report transmitted to the relevant organizations. Specifically, the server uses the communication interface to encode the report data using the appropriate protocol and transmits it to the designated contact. 【0559】 (Application Example 2) 【0560】 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." 【0561】 In modern cities, the illegal deployment of mobile vehicles poses a serious threat to public safety and order. However, conventional surveillance systems struggle to provide flexible responses that consider user sentiment, thus failing to achieve effective problem-solving. This invention aims to improve public safety and service quality by enabling rapid detection and reporting of illegal deployments, as well as providing appropriate and flexible responses that consider user sentiment. 【0562】 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. 【0563】 In this invention, the server includes a shooting means for detecting moving objects, an information processing means for processing data acquired from the shooting means and determining the position of the moving objects, an information processing means for reporting to relevant organizations via communication means based on the determination result and the user's emotional state, and an emotion recognition means for analyzing the user's emotional state. This enables rapid detection of illegal placements and adjustment of the reporting content to take the user's emotions into consideration. 【0564】 A "mobile object" is a general term for any object that can be moved to transport people or goods, such as a vehicle or a bicycle. 【0565】 "Means of photography" refers to a device or function that acquires visual information using a camera or similar device and processes it as digital data. 【0566】 "Information processing means" refers to a system or program that analyzes acquired digital data and performs judgments or calculations in accordance with a specific purpose. 【0567】 "Communication means" refers to a method or technology for transmitting data from one device to another device or organization. 【0568】 "Emotion recognition means" refers to technologies and programs for analyzing and identifying a user's emotional state as data. 【0569】 This invention is implemented by combining multiple hardware and software components to monitor the illegal deployment of mobile objects and to provide notifications that take into account the user's feelings. 【0570】 The server first acquires real-time video footage of the surveillance area using a camera or smart device. The acquired video data is then sent to the server. The server acts as an information processing tool, using image analysis software such as TensorFlow or OpenCV to detect moving objects from the video data and determine whether their placement is illegal. 【0571】 Furthermore, the user's device is equipped with software for emotion recognition, which analyzes the user's current emotional state based on their past data. Emotion recognition utilizes an emotion analysis model built in Python to quantitatively identify the user's state, such as stress and anxiety. 【0572】 If an illegal deployment is detected and the user's emotional state exceeds a certain threshold, the server will use the Twilio API and other communication methods to send an emotionally sensitive report to the relevant authorities. The content of this report will be adjusted according to the user's emotional state. 【0573】 As a concrete example, consider a case where illegal parking is rampant around a major public transportation hub in a certain city. If the server uses emotion recognition to analyze a user's high level of stress, in addition to the usual notification, a special warning will be sent to the relevant authorities. An example of a prompt message might be: "Illegal parking is rampant in this area. Are you feeling stressed? We will find the best solution for you." 【0574】 Thus, the present invention enables rapid and accurate detection of illegal deployments and a flexible reporting process that takes into account the user's feelings. 【0575】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0576】 Step 1: 【0577】 The server acquires video footage of the surveillance area using a camera. Real-time video data from the camera is input and transmitted to the server in a digital format. The output is a video data stream. Specifically, camera frames are sent sequentially to the server, and the analysis proceeds to the next step. 【0578】 Step 2: 【0579】 The server uses TensorFlow and OpenCV to analyze the received video data. The input is a video data stream. During data processing, objects in the image are identified, objects with the characteristics of moving objects are detected, and it is determined whether they are illegally placed. The output is the determination result and detailed information about the moving objects. Specifically, the object detection algorithm scans each frame of the video data and identifies specific patterns. 【0580】 Step 3: 【0581】 The device analyzes the user's emotional state using emotion recognition techniques. Inputs include the user's past usage data and real-time emotional input (e.g., heart rate and feedback). An emotion analysis model built in Python is used to calculate stress and anxiety levels through data computation, and the output is a numerical value representing the emotional state (e.g., an emotional score). Specifically, the score is calculated by combining past history and current data. 【0582】 Step 4: 【0583】 The server uses information processing tools to form a report based on the judgment result and the user's sentiment score. The inputs are the judgment result for illegal placement and a numerical value for the sentiment state. Data processing is performed by adding a warning that takes the user's sentiment into account to a standard report message. The output is the adjusted report content. Specifically, if a certain score is exceeded, additional information is added to the report. 【0584】 Step 5: 【0585】 The server uses communication methods such as the Twilio API to send the refined report to the relevant organizations. The input is the report content, which is packaged and sent according to the communication protocol. The output is the completion of the notification to the relevant organizations. Specifically, the API is called, and a text or notification is sent to the devices of the relevant organizations. 【0586】 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. 【0587】 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. 【0588】 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. 【0589】 [Fourth Embodiment] 【0590】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0591】 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. 【0592】 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). 【0593】 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. 【0594】 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. 【0595】 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). 【0596】 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. 【0597】 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. 【0598】 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. 【0599】 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. 【0600】 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. 【0601】 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. 【0602】 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". 【0603】 This invention provides a system for efficiently monitoring and responding quickly to illegal parking of moving objects such as bicycles. Specifically, the system comprises a camera for detecting moving objects, an information processing device for processing data, and a communication device for sending notifications. 【0604】 First, the camera continuously acquires video data within the monitoring area and transmits this information to a server. The server then functions as an information processing device, inputting the received video data into an AI analysis model to determine the location of the moving object. The AI ​​analysis model uses computer vision technology to determine whether the moving object is parked in accordance with laws and regulations. 【0605】 When illegal parking is detected, the server generates detailed data, including location information and images of the scene, based on the detection result. This data is automatically transmitted via communication equipment to designated agencies such as city halls and police. This allows the relevant agencies to respond quickly. 【0606】 For example, if a user installs a camera in a designated monitoring area in a specific part of a city, the system will monitor that area 24 hours a day. The data acquired by the camera is transmitted to a server in real time, and the data is analyzed to determine if any vehicles are illegally parked. If illegal parking is confirmed, the server immediately notifies the designated relevant authorities and provides details of the location where action is needed. 【0607】 Thus, because this system utilizes AI-powered advanced analysis and automatic notification functions, it can suppress illegal parking more efficiently and accurately than conventional manual monitoring. This invention is expected to contribute to improving public safety and convenience in urban areas. 【0608】 The following describes the processing flow. 【0609】 Step 1: 【0610】 The camera continuously acquires video footage within the surveillance area and generates video data for each frame. 【0611】 Step 2: 【0612】 The server receives real-time video data transmitted from the camera over the network. 【0613】 Step 3: 【0614】 The server inputs the received video data into an AI analysis model to detect moving objects such as bicycles present in the image. 【0615】 Step 4: 【0616】 The server analyzes the location and position of the detected moving object and makes a judgment based on the established criteria for illegal parking. 【0617】 Step 5: 【0618】 If the server determines that a bicycle is illegally parked, it generates detailed data including location information and images of the site. 【0619】 Step 6: 【0620】 The server uses the generated detailed data to automatically create notifications for relevant organizations such as the city hall and the police. 【0621】 Step 7: 【0622】 The server transmits the notification data to the relevant organizations via communication equipment and verifies the success or failure of the notification. 【0623】 Step 8: 【0624】 The server stores notification history and detection records in a database to prepare for future analysis and reporting. 【0625】 Step 9: 【0626】 Users can access the database through their devices to view real-time monitoring results and notification history. 【0627】 (Example 1) 【0628】 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". 【0629】 Illegal parking and improper placement of moving objects in urban areas hinder public safety and the smooth flow of traffic. Furthermore, manually monitoring and resolving this situation requires considerable time and effort. With advancements in information technology, there is a growing need for systems that can solve these problems more efficiently and effectively. 【0630】 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. 【0631】 In this invention, the server includes means for transmitting information acquired from a video acquisition device, means for analyzing the information using a generated AI model in a central device that functions as an information processing device to determine the arrangement of objects, and means for automatically generating a report including location information and related images based on the determination result and quickly notifying the organization via communication means. This makes it possible to automatically detect the improper placement of moving objects and respond quickly. 【0632】 A "video acquisition device" is a device that continuously acquires video data in a specific monitoring area and transmits it to a central system. 【0633】 An "information processing device" is a device that analyzes received data and has the function of determining the positioning status of a moving object. 【0634】 A "generative AI model" is an artificial intelligence technology used to analyze acquired data and recognize and determine the arrangement of objects. 【0635】 "Communication means" refers to the means of transmitting analyzed information to remote organizations or related institutions. 【0636】 "Illegal placement" is a term that refers to a situation in which a moving object does not comply with specified laws or regulations. 【0637】 A "report" is a document that compiles detailed information, including the judgment results, location information, and related images. 【0638】 A "data storage device" is a device that records detection history and other related information, and allows for its retrieval and display as needed. 【0639】 A "terminal device" is a device used to access and visually display recorded data. 【0640】 This invention is a system that efficiently monitors the improper placement of mobile objects and automatically notifies the relevant authorities. The system consists of several main components, each of which plays a specific role. 【0641】 The server plays a central role, receiving video data transmitted from the video acquisition device. The server preprocesses the received data to convert it into a format suitable for AI analysis, and then uses a generated AI model to analyze it using computer vision technology. This analysis determines whether the moving object is positioned in compliance with laws and regulations. If the determination is incorrect, the server automatically generates a report including location information and on-site images. This report is then quickly transmitted to the relevant authorities via communication channels. 【0642】 The terminal works in conjunction with a data storage device that records the history of fraudulent placement detections, and is used by users to access and display the recorded data. This makes it easy to review past detection results. 【0643】 When users configure the system, one possible approach is to install cameras in the city center and monitor the area 24 hours a day. The data captured by these cameras is transmitted to a server in real time. The server immediately analyzes this data and, if illegal parking is detected, immediately issues a report. 【0644】 A specific example of a prompt message is, "Identify the conditions necessary to analyze fraudulent placement within the monitoring area." Based on this prompt, the AI ​​model is appropriately configured, enabling highly accurate determination. 【0645】 This system is expected to efficiently and effectively solve the problem of improper placement compared to manual monitoring, and to significantly improve public safety and convenience in cities. 【0646】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0647】 Step 1: 【0648】 The user installs a video acquisition device in the area they wish to monitor. This device continuously acquires video data 24 hours a day from a specific viewpoint. The input is real-time video data, and the output is compressed data sent to the server. 【0649】 Step 2: 【0650】 The server preprocesses the received video data in preparation for analysis. At this stage, the input is compressed video data, which is then denoised and the resolution adjusted before being converted into a data format for processing. The output is data in a format that can be efficiently analyzed by the AI ​​model. 【0651】 Step 3: 【0652】 The server inputs pre-processed data into the AI ​​analysis model. The generating AI model uses computer vision to recognize objects in the video and analyzes their arrangement. The input here is formatted video data, and the output is the determination of the object's arrangement and position information. 【0653】 Step 4: 【0654】 Based on the judgment results obtained from the AI ​​analysis model, the server automatically generates a detailed report if a moving object is improperly placed. The input here is the analysis result, and the output report includes location information and on-site images. 【0655】 Step 5: 【0656】 The server automatically sends the generated report to the relevant organization via communication channels. The input is a detailed report, and the output is a rapid notification to the appropriate agency. Specifically, the report clearly states the grounds for the alleged misconduct based on laws and regulations. 【0657】 Step 6: 【0658】 The terminal records the history of unauthorized placements in a data storage device and allows users to retrieve and view this data. Inputs are reports and judgment histories, while output is a user-accessible display of historical data. This allows users to review past situations and take necessary countermeasures. 【0659】 (Application Example 1) 【0660】 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". 【0661】 In modern urban areas, illegal parking of bicycles and other mobile vehicles has become a major social problem that disrupts public order and safe pedestrian environments. Traditional monitoring methods are manual, which have limitations in efficiency and make immediate response difficult. Against this backdrop, there is a growing need for a system that can efficiently and quickly detect illegally parked mobile vehicles and promptly provide information to users and relevant organizations. 【0662】 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. 【0663】 In this invention, the server includes an image acquisition means for detecting moving objects, an information processing means for processing data obtained from the image acquisition means and evaluating the position of the moving objects, an information processing means having a function to report to an external organization via a communication means based on the evaluation results, and a communication means for notifying the user of the position of the moving objects. This makes it possible to detect illegal parking in real time and immediately notify relevant organizations and users. 【0664】 "Transportation vehicles" refer to means of transporting people and goods, such as bicycles and scooters, used in urban areas. 【0665】 "Image acquisition means" refers to a device that uses cameras or sensor devices to acquire video and image data within a monitoring area. 【0666】 "Information processing means" refers to computer programs or systems that analyze acquired image data and determine the positioning status of a moving object. 【0667】 "Communication means" refers to network technologies and devices used to transmit data and information to other devices or organizations. 【0668】 An "external organization" refers to a public or private organization, such as a city hall or police, that receives information about illegal parking and takes appropriate action. 【0669】 "Users" refer to ordinary citizens and stakeholders who receive information provided by this system or take corresponding actions. 【0670】 "Data storage means" refers to a database or storage device for recording and saving the illegal deployment history of detected mobile objects. 【0671】 "Output means" refers to displays or mobile applications that can visually display recorded data to the user. 【0672】 This invention is a system for efficiently monitoring and responding quickly to illegal parking of mobile vehicles, and is mainly composed of a server, terminals, and users. 【0673】 The server receives video data in real time from a camera device that functions as an image acquisition tool. The received video data is analyzed by an information processing tool, and the positioning of moving objects is evaluated using a generated AI model. Based on the analysis results, if illegal parking is detected, the server immediately reports it to an external organization via a communication tool. At the same time, the user is also notified and provided with detailed parking information, including location information and images. 【0674】 The terminal visually displays the processed data to the user. A history of illegal deployments is stored in a data storage system, allowing for easy verification of the situation through the terminal. Based on this information, users can monitor and report on designated areas. 【0675】 Users can check the parking situation in monitored areas in real time via their smartphones. For example, if a user detects illegal parking in a park in a specific urban area, they can immediately understand the situation through app notifications and report it to the relevant authorities if necessary. 【0676】 An example of a prompt message from a generated AI model is: "Detect illegally parked bicycles from video data captured by camera devices installed in the park and notify the user of their location." 【0677】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0678】 Step 1: 【0679】 The server receives video data in real time from camera devices that function as image acquisition tools. The input is raw video data from the cameras, and the output is unprocessed video data stored in a database. In this step, data is collected from multiple cameras via the network and temporarily stored. 【0680】 Step 2: 【0681】 The server inputs the received video data into an AI analysis model and processes the data. The input is raw video data retrieved from a database, and the output is an analysis result showing the positioning of moving objects. The AI ​​analysis model uses a generative AI model to extract features from each frame of the video and determine whether or not it is illegal parking. 【0682】 Step 3: 【0683】 Based on the analysis results, the server evaluates the placement of moving objects and, if illegal parking is detected, generates detailed location information. The input is the analysis results obtained from the AI ​​analysis model, and the output is detailed data including the location information of the illegally parked bicycle. The server refers to GPS data and map information to pinpoint the exact location of the illegally parked bicycle. 【0684】 Step 4: 【0685】 The server transmits the generated detailed data to an external organization using communication methods, while simultaneously notifying the user's terminal. The input is detailed data, and the output is a report to the external organization and a notification to the user. In this step, rapid sharing with relevant parties is carried out using email or API calls. 【0686】 Step 5: 【0687】 The terminal visually presents and displays the received detailed data to the user. The input is detailed data sent from the server, and the output is visualized information about the parking situation that the user can check. The current situation is intuitively communicated to the user through map applications and notification banners. 【0688】 Step 6: 【0689】 Users use their smartphones to receive notifications and prompt external organizations to take action as needed. Input is the notified information about the bicycle parking situation, and output is the user's action choices and reporting activities. Users can easily give instructions and provide feedback through the app. 【0690】 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. 【0691】 This invention provides a system that effectively monitors the illegal placement of moving objects such as bicycles and enables flexible responses that take into account the user's emotions. This system consists of a camera that detects moving objects, an information processing device that processes the data, a communication device that issues notifications, and an emotion engine that recognizes the user's emotional state. 【0692】 First, the camera acquires video footage from the surveillance area and transmits this data to the server in real time. The server then functions as an information processing device, using AI-based image recognition technology to detect moving objects and determine whether their placement is illegal. 【0693】 When an illegal deployment is detected, the server generates detailed report data based on the detection result. At this time, the emotion engine analyzes the user's emotions and recognizes emotional states such as stress and anxiety. The emotion engine continuously learns, referencing the user's past usage data, to improve the accuracy of emotion analysis. 【0694】 If a user's emotions exceed a certain threshold, the server can select an alternative reporting procedure and consider an appropriate response that takes their emotions into account. The reported data is transmitted to the relevant organizations via communication devices, but the content of the report may be adjusted or additional information added depending on the user's emotional state. 【0695】 For example, if a user is using a system installed in front of a train station, and illegal parking is a frequent occurrence in that area, causing the user significant stress, the server will analyze the situation through its emotion engine and send a warning to the relevant authorities. In this way, a flexible response that is sensitive to the user's emotions becomes possible. 【0696】 This invention enables not only the rapid detection and reporting of illegally parked bicycles, but also considerate system operation that takes user feelings into account, and is expected to further improve public safety and the quality of services. 【0697】 The following describes the processing flow. 【0698】 Step 1: 【0699】 The camera continuously acquires video data within the monitoring area and generates each frame. 【0700】 Step 2: 【0701】 The server receives video data transmitted from the camera in real time. 【0702】 Step 3: 【0703】 The server feeds the received video data into an AI analysis model to detect moving objects such as bicycles in the images. 【0704】 Step 4: 【0705】 The server analyzes the location and status of the detected moving object and determines its illegality by comparing it against predetermined illegal parking criteria. 【0706】 Step 5: 【0707】 If the server determines that an illegal deployment has occurred, it will generate illegal deployment report data. This data includes location information and images of the site. 【0708】 Step 6: 【0709】 The emotion engine analyzes the user's emotional state through the system interface. This analysis utilizes everyday interactions and user feedback on the system. 【0710】 Step 7: 【0711】 The server checks whether the user's emotions exceed a threshold based on the analysis results of the emotion engine. 【0712】 Step 8: 【0713】 If the server detects that a user's emotional state exceeds a threshold, it will adjust the report, add special comments or warnings, and submit it to the relevant authorities. 【0714】 Step 9: 【0715】 The server transmits the generated report data to relevant organizations such as the city hall and the police via communication equipment. 【0716】 Step 10: 【0717】 The server stores the reporting history and sentiment analysis results in a database, which are then used for later analysis and system improvements. 【0718】 Step 11: 【0719】 Users can access the database on their devices to view their reporting history and emotional state history. 【0720】 (Example 2) 【0721】 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". 【0722】 The challenge lies in providing a rapid and effective monitoring and response to the illegal deployment of mobile devices while also considering the user's emotional state. Conventional technologies can simply detect the illegal deployment of mobile devices, but they have struggled to provide responses that reflect the user's psychological burden and emotional state. 【0723】 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. 【0724】 In this invention, the server includes a visual device means for recognizing a moving object, a data processing means for analyzing data acquired from the visual device to determine the location of the moving object, an information processing means equipped with an emotion analysis means for analyzing the user's emotional state based on the determination result, and a report generation means for creating a report to notify relevant organizations of the results via a communication means. This enables not only a rapid response to the illegal placement of moving objects, but also flexible and appropriate reporting that takes into account the user's emotions. 【0725】 "Mobile object" refers to any object that is physically movable, and in this invention, it specifically refers to individual mobile devices such as bicycles and motorcycles. 【0726】 A "visual device" is a device that monitors a specific area and captures video data, and in this invention, this includes cameras and sensors. 【0727】 "Data processing means" refers to a device that analyzes acquired video data and has the function of determining the positioning status of a moving object based on specific conditions. 【0728】 "Emotional analysis tools" refer to systems that analyze a user's emotional state based on their past data and current feedback, and evaluate factors such as stress and anxiety levels. 【0729】 "Report generation means" refers to a device that has the function of creating a report for notification to relevant organizations based on the judgment results and sentiment analysis results. 【0730】 "Communication means" includes technologies and devices for sending and receiving information, and in this invention, the Internet or other communication networks are used. 【0731】 To implement this invention, the first essential element is a visual device that recognizes moving objects, which is used to photograph the surveillance area and acquire video data. In this invention, a camera system fulfills this role and transmits the video data to a server via a communication network. 【0732】 Next, the server performs core information processing. The server uses data processing tools to analyze the received video data. This analysis employs AI-based image recognition technology to determine where the moving object is located and whether it is in an illegal location. A generative AI model is used for data processing. 【0733】 Furthermore, the server uses emotion analysis tools to analyze the user's emotional state. Based on the user's past interaction data and real-time feedback, it evaluates the user's current emotional state (e.g., stress, anxiety). The accuracy of these analysis results is improved through continuous learning using a neural network. 【0734】 Depending on the reporting method, the server generates a report for relevant organizations based on the analysis of the information. This report includes not only specific location information of illegal placements, but also information that takes into account the user's emotional state. 【0735】 This information is quickly transmitted to the relevant organizations via communication channels. During this process, the report may be adjusted or additional information may be included based on the user's sentiment analysis results. 【0736】 As a concrete example, consider a situation where a user encounters an unusually large number of illegally parked bicycles in front of a train station. The server immediately detects this illegal parking through video analysis and determines, using its emotion engine, that the user is in a high-stress state. In this case, the server sends a report, including a warning, to the relevant authorities. In this way, a flexible and effective response that takes emotions into consideration is achieved. 【0737】 An example of a prompt message is: "Illegal parking of bicycles is frequent in front of the station. Utilize the emotion engine based on the user's emotional data, and if the stress level is high, send a report with a warning." This allows the system to take appropriate action, taking into account the user's emotional state. 【0738】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0739】 Step 1: 【0740】 The server receives video data transmitted from the visual device. The input here is the video data provided by the visual device, and the output is the video data that can be processed. The server receives this data and stores it in a database. Specifically, video data arrives at the server via the network, and the server prepares to organize the data for the next processing step. 【0741】 Step 2: 【0742】 The server analyzes the received video data using a generating AI model to detect moving objects. The input here is the video data obtained in step 1, and the output is the location of the moving object and the result of determining whether or not it is illegally located. Specifically, the AI ​​model analyzes each frame of the video, recognizes the outline of the moving object, and compares them with a road map to determine its location. 【0743】 Step 3: 【0744】 The server analyzes the user's emotional state as needed, based on the detection results of the moving object. The input is the detection results of the moving object and the user's past emotional data, and the output is an evaluation of the user's current emotional state. The server uses an emotion engine to determine what emotional state the user is currently in (e.g., stress, anxiety). Specifically, it uses AI analysis to refer to past emotional history and real-time data to quantify the stress level. 【0745】 Step 4: 【0746】 The server generates a report based on the illegal placement determination results and sentiment analysis results. The input is the determination results and sentiment analysis results obtained in steps 2 and 3, and the output is report data to be sent to the relevant authorities. Specifically, the report includes the precise location of the moving object, the basis for illegality, and information that takes into account the user's emotional state. 【0747】 Step 5: 【0748】 The server transmits the generated report to the relevant organizations via communication channels. The input is the report data generated in step 4, and the output is the detailed report transmitted to the relevant organizations. Specifically, the server uses the communication interface to encode the report data using the appropriate protocol and transmits it to the designated contact. 【0749】 (Application Example 2) 【0750】 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". 【0751】 In modern cities, the illegal deployment of mobile vehicles poses a serious threat to public safety and order. However, conventional surveillance systems struggle to provide flexible responses that consider user sentiment, thus failing to achieve effective problem-solving. This invention aims to improve public safety and service quality by enabling rapid detection and reporting of illegal deployments, as well as providing appropriate and flexible responses that consider user sentiment. 【0752】 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. 【0753】 In this invention, the server includes a shooting means for detecting moving objects, an information processing means for processing data acquired from the shooting means and determining the position of the moving objects, an information processing means for reporting to relevant organizations via communication means based on the determination result and the user's emotional state, and an emotion recognition means for analyzing the user's emotional state. This enables rapid detection of illegal placements and adjustment of the reporting content to take the user's emotions into consideration. 【0754】 A "mobile object" is a general term for any object that can be moved to transport people or goods, such as a vehicle or a bicycle. 【0755】 "Means of photography" refers to a device or function that acquires visual information using a camera or similar device and processes it as digital data. 【0756】 "Information processing means" refers to a system or program that analyzes acquired digital data and performs judgments or calculations in accordance with a specific purpose. 【0757】 "Communication means" refers to a method or technology for transmitting data from one device to another device or organization. 【0758】 "Emotion recognition means" refers to technologies and programs for analyzing and identifying a user's emotional state as data. 【0759】 This invention is implemented by combining multiple hardware and software components to monitor the illegal deployment of mobile objects and to provide notifications that take into account the user's feelings. 【0760】 The server first acquires real-time video footage of the surveillance area using a camera or smart device. The acquired video data is then sent to the server. The server acts as an information processing tool, using image analysis software such as TensorFlow or OpenCV to detect moving objects from the video data and determine whether their placement is illegal. 【0761】 Furthermore, the user's device is equipped with software for emotion recognition, which analyzes the user's current emotional state based on their past data. Emotion recognition utilizes an emotion analysis model built in Python to quantitatively identify the user's state, such as stress and anxiety. 【0762】 If an illegal deployment is detected and the user's emotional state exceeds a certain threshold, the server will use the Twilio API and other communication methods to send an emotionally sensitive report to the relevant authorities. The content of this report will be adjusted according to the user's emotional state. 【0763】 As a concrete example, consider a case where illegal parking is rampant around a major public transportation hub in a certain city. If the server uses emotion recognition to analyze a user's high level of stress, in addition to the usual notification, a special warning will be sent to the relevant authorities. An example of a prompt message might be: "Illegal parking is rampant in this area. Are you feeling stressed? We will find the best solution for you." 【0764】 Thus, the present invention enables rapid and accurate detection of illegal deployments and a flexible reporting process that takes into account the user's feelings. 【0765】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0766】 Step 1: 【0767】 The server acquires video footage of the surveillance area using a camera. Real-time video data from the camera is input and transmitted to the server in a digital format. The output is a video data stream. Specifically, camera frames are sent sequentially to the server, and the analysis proceeds to the next step. 【0768】 Step 2: 【0769】 The server uses TensorFlow and OpenCV to analyze the received video data. The input is a video data stream. During data processing, objects in the image are identified, objects with the characteristics of moving objects are detected, and it is determined whether they are illegally placed. The output is the determination result and detailed information about the moving objects. Specifically, the object detection algorithm scans each frame of the video data and identifies specific patterns. 【0770】 Step 3: 【0771】 The device analyzes the user's emotional state using emotion recognition techniques. Inputs include the user's past usage data and real-time emotional input (e.g., heart rate and feedback). An emotion analysis model built in Python is used to calculate stress and anxiety levels through data computation, and the output is a numerical value representing the emotional state (e.g., an emotional score). Specifically, the score is calculated by combining past history and current data. 【0772】 Step 4: 【0773】 The server uses information processing tools to form a report based on the judgment result and the user's sentiment score. The inputs are the judgment result for illegal placement and a numerical value for the sentiment state. Data processing is performed by adding a warning that takes the user's sentiment into account to a standard report message. The output is the adjusted report content. Specifically, if a certain score is exceeded, additional information is added to the report. 【0774】 Step 5: 【0775】 The server uses communication methods such as the Twilio API to send the refined report to the relevant organizations. The input is the report content, which is packaged and sent according to the communication protocol. The output is the completion of the notification to the relevant organizations. Specifically, the API is called, and a text or notification is sent to the devices of the relevant organizations. 【0776】 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. 【0777】 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. 【0778】 In the above embodiment, an example was given in which the 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. 【0779】 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. 【0780】 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. 【0781】 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. 【0782】 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. 【0783】 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. 【0784】 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." 【0785】 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. 【0786】 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. 【0787】 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. 【0788】 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. 【0789】 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. 【0790】 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. 【0791】 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 memory. 【0792】 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. 【0793】 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. 【0794】 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. 【0795】 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. 【0796】 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 as being incorporated by reference. 【0797】 The following is further disclosed regarding the embodiments described above. 【0798】 (Claim 1) 【0799】 A camera that detects moving objects, 【0800】 An information processing device that processes data acquired from a camera and determines the positioning status of a moving object, 【0801】 An information processing device having the function of reporting to a designated organization via a communication device based on the judgment result, 【0802】 A system that includes this. 【0803】 (Claim 2) 【0804】 The system according to claim 1, characterized in that it has a function to include location information in the report data when it detects the illegal placement of a moving object. 【0805】 (Claim 3) 【0806】 The system according to claim 1, further comprising a terminal device that has a database for recording the detection history of illegal placements and for acquiring and displaying the recorded data. 【0807】 "Example 1" 【0808】 (Claim 1) 【0809】 A means for transmitting information acquired from a video acquisition device, 【0810】 In a central device that functions as an information processing device, means for analyzing information using a generative AI model and determining the arrangement state of objects, 【0811】 A means of automatically generating a report including location information and related images based on the judgment results, and quickly notifying the organization via communication means, 【0812】 A system that includes this. 【0813】 (Claim 2) 【0814】 The system according to claim 1, characterized in that it has a function to communicate information including detailed location information and the basis for analysis when it detects an improper placement of a moving object. 【0815】 (Claim 3) 【0816】 The system according to claim 1, further comprising a data storage device for recording the history of detection of unauthorized placement, and a terminal device for acquiring and displaying the recorded information. 【0817】 "Application Example 1" 【0818】 (Claim 1) 【0819】 An image acquisition means for detecting a moving object, 【0820】 An information processing means that processes data obtained from an image acquisition means and evaluates the arrangement state of a moving object, 【0821】 Information processing means having a function to report to an external organization via communication means based on the evaluation results, 【0822】 A communication means for notifying users of the location status of a mobile object, 【0823】 A system that includes this. 【0824】 (Claim 2) 【0825】 The system according to claim 1, characterized in that it has a function to include location information in the report data when an illegal placement of a moving object is detected, and a function to provide the location information to the user. 【0826】 (Claim 3) 【0827】 The system according to claim 1, further comprising a data storage means for recording the detection history of illegal placements, and an output means for acquiring and displaying the recorded data. 【0828】 "Example 2 of combining an emotion engine" 【0829】 (Claim 1) 【0830】 A visual device that recognizes moving objects, 【0831】 A data processing means that analyzes data acquired from a visual device and determines the positioning of a moving object, 【0832】 An information processing means equipped with emotion analysis means for analyzing the user's emotional state based on the discrimination result, 【0833】 A report generation means for creating a report to notify relevant organizations of the results via communication means, 【0834】 A system that includes this. 【0835】 (Claim 2) 【0836】 The system according to claim 1, characterized in that when an illegal deployment of a moving object is identified, it has a function to include location information and the results of user sentiment analysis in the reported data. 【0837】 (Claim 3) 【0838】 The system according to claim 1, further comprising a storage means for recording the detection history of illegal placements, and an output device for acquiring and displaying the recorded data. 【0839】 "Application example 2 when combining with an emotional engine" 【0840】 (Claim 1) 【0841】 A means of photographing a moving object, 【0842】 An information processing means that processes data acquired from a photographic means and determines the positioning state of a moving object, 【0843】 An information processing system that reports to relevant organizations via communication means based on the judgment result and the user's emotional state, 【0844】 An information processing means incorporating an emotion recognition means for analyzing the user's emotional state, 【0845】 A system that includes this. 【0846】 (Claim 2) 【0847】 The system according to claim 1, characterized in that it has a function to detect the illegal placement of a moving object and to adjust the reported data to be more emotionally sensitive when the user's emotional state exceeds a certain threshold. 【0848】 (Claim 3) 【0849】 The system according to claim 1, further comprising a database for recording the detection history of illegal placements and the user's sentiment analysis history, and terminal means for acquiring and displaying the recorded data. [Explanation of symbols] 【0850】 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 camera that detects moving objects, An information processing device that processes data acquired from a camera and determines the positioning status of a moving object, An information processing device having the function of reporting to a designated organization via a communication device based on the judgment result, A system that includes this. [Claim 2] The system according to claim 1, characterized in that it has a function to include location information in the report data when an illegal placement of a moving object is detected. [Claim 3] The system according to claim 1, further comprising a terminal device that has a database for recording the detection history of illegal placements and for acquiring and displaying the recorded data.

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