system

Abstract

We provide the system. [Solution] A means of receiving data from the information gathering department and analyzing the usage status of parking spaces, A means for identifying the optimal parking space based on destination information from the user terminal, A means of dynamically adjusting parking fees according to supply and demand, A means for presenting the optimal driving route to the user based on the provided route guidance information, A system including means having vehicle identification and security monitoring functions.

Description

【Technical Field】 【0001】 The technology of the present disclosure 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, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 An object of the present invention is to solve the problems of shortage of parking spaces and soaring fees in urban areas, and traffic congestion due to lack of efficient space utilization. Furthermore, it also addresses reducing the environmental impact and providing a safe and comfortable parking environment. 【Means for Solving the Problems】 【0005】 The present invention maximizes parking efficiency by providing means for analyzing the usage status of parking spaces in real time, means for identifying optimal parking spaces, and means for setting fees according to demand using dynamic pricing. It also has an idling time reduction function to suppress energy consumption, thereby reducing the environmental impact and realizing safe and efficient parking guidance for users. 【0006】 The "information gathering unit" is the part of the system that acquires information on the usage and availability of parking spaces through sensors and cameras, and supplies this information to the system. 【0007】 A "user terminal" is a device that a user uses to communicate with the system and to search for, reserve, and receive information about parking spaces, and includes smartphones and in-car devices. 【0008】 A "parking space" refers to a space for temporarily stopping a vehicle, and includes designated parking areas or areas on the street. 【0009】 "Dynamic pricing" is a function that adjusts prices in real time according to supply and demand conditions, with the aim of efficient revenue management and diversification of usage. 【0010】 "Energy consumption" refers to the amount of fuel or electricity used when a vehicle is parked or moved, and is an important factor in assessing environmental impact. 【0011】 "Vehicle identification" is a function used to identify, monitor, or manage vehicles within a parking lot or system, and is performed using sensors and cameras. [Brief explanation of the drawing] 【0012】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of the data processing device and smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It 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] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined. 【Mode for Carrying Out the Invention】 【0013】 Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described according to the accompanying drawings. 【0014】 First, the language used in the following description will be explained. 【0015】 In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0016】 In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0017】 In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. 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. 【0018】 In the following embodiments, the numbered communication I / F (Interface) is an interface that includes a communication processor, an antenna, and the like. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0019】 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." 【0020】 [First Embodiment] 【0021】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0022】 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. 【0023】 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). 【0024】 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. 【0025】 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. 【0026】 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. 【0027】 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. 【0028】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0029】 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. 【0030】 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. 【0031】 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. 【0032】 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". 【0033】 The parking management system according to the present invention utilizes AI and IoT technologies to achieve efficient use of parking spaces in urban areas. The following describes specific embodiments of the system. 【0034】 Data collection and analysis 【0035】 The server collects real-time data from sensors, cameras, and IoT devices installed in each parking lot to obtain information on parking space availability and fees. This data changes in the form of a CE diamond, forming the basis for identifying the optimal parking space. 【0036】 Information distribution to users 【0037】 The terminal receives parking space information provided by the server based on the destination information specified by the user. This allows the user to check and select the best parking option from their current location to the vicinity of their destination in real time. 【0038】 Parking space reservation and fee adjustment 【0039】 Users can reserve a selected parking space in advance using the terminal's interface. The server then uses dynamic pricing to display rates based on parking demand. 【0040】 Route guidance function 【0041】 The terminal guides the user to the optimal route to the selected parking space. This is done using GPS systems and current traffic information, providing an energy-efficient route. This reduces idling time during travel, minimizing fuel consumption and environmental impact. 【0042】 Security management function 【0043】 The server identifies vehicles in the parking lot and monitors them to ensure safety. This allows vehicles to be parked safely even in unmanned parking lots. If an anomaly is detected, an alert is issued, enabling a quick response. 【0044】 Specific example 【0045】 For example, imagine a user heading to the city center and searching for parking via a smartphone app. The app displays available parking spaces near the destination, and the user reserves a preferred spot. The server displays a dynamic price, and the user confirms the reservation. The app then guides the user to the shortest and most environmentally friendly route from their home to the parking lot. 【0046】 This invention reduces wasted time searching for parking spaces, making urban parking more efficient and economical. 【0047】 The following describes the processing flow. 【0048】 Step 1: 【0049】 The server continuously collects real-time data from sensors and cameras placed in parking lots and on-street parking spaces. This data includes availability, location information, and pricing information. 【0050】 Step 2: 【0051】 The server processes the collected data and performs analysis using artificial intelligence algorithms. This allows for optimized parking lot placement and an understanding of current availability. 【0052】 Step 3: 【0053】 The user launches the app on their smartphone or in-car device and enters the destination address or location information. This initiates the search for parking spaces. 【0054】 Step 4: 【0055】 The terminal sends destination information received from the user to the server and requests information about nearby parking spaces. 【0056】 Step 5: 【0057】 The server identifies the most suitable parking space based on the user's current location and entered destination, and sends information such as availability, cost, and distance back to the terminal. 【0058】 Step 6: 【0059】 The terminal displays a list of received parking space information to the user, offering them options. The user can select their desired parking space and make a reservation in advance. 【0060】 Step 7: 【0061】 The server reserves the parking space selected by the user and sets the price by applying dynamic pricing as needed. 【0062】 Step 8: 【0063】 The terminal guides the user to the optimal route to the selected parking space. This includes efficient routes that take real-time traffic conditions into account. 【0064】 Step 9: 【0065】 When the user arrives at the parking lot, the terminal confirms the vehicle's parking location and guides them to complete the parking process. 【0066】 Step 10: 【0067】 The server uses vehicle identification technology to monitor vehicles in the parking lot and ensure safety. It also sends notifications in case of anomalies, enabling a quick response. 【0068】 (Example 1) 【0069】 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." 【0070】 Conventional parking management systems have made it difficult to efficiently utilize parking spaces in urban areas. Furthermore, they often lack real-time information on parking locations, requiring users to spend considerable time and effort searching for a parking spot. Additionally, the lack of appropriate pricing based on demand fluctuations can lead to a sense of unfairness regarding parking fees. Moreover, inadequate security within parking lots often means that vehicle safety cannot be guaranteed. 【0071】 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. 【0072】 In this invention, the server includes means for receiving data from the information management unit and analyzing the usage status of the parking area, means for identifying the optimal parking area based on destination information from the user device, and means for dynamically adjusting parking fees according to supply and demand. This enables efficient use of parking spaces, real-time provision of optimal parking information to users, fair pricing according to demand, and ensuring a safe parking environment. 【0073】 The "Information Management Department" is the department responsible for receiving data from sensors and devices placed in each parking area, and for managing and processing that data as information. 【0074】 "User equipment" refers to terminal devices used by users to check and manage parking information, and typically includes mobile devices or dedicated applications. 【0075】 An "artificial intelligence algorithm" is a computational method that uses machine learning models and other tools to analyze parking conditions and usage patterns, and then proposes the optimal parking location and fees. 【0076】 "Dynamic adjustment" refers to analyzing the ever-changing supply and demand situation for parking spaces and making timely changes to parking fees and space management based on the results. 【0077】 "Real-time delivery" means providing users with current information immediately with minimal delay, and aims to always reflect the latest data. 【0078】 "Safety monitoring function" refers to monitoring activities conducted using sensor devices and cameras to detect suspicious movements or incidents within the parking lot and enable a swift response. 【0079】 This invention is implemented primarily as a system including an information management unit, user devices, and artificial intelligence algorithms. The server collects real-time data using sensors, cameras, and IoT devices installed in the parking area. This data includes parking space availability and fee information, and is organized by the information management unit. 【0080】 The server uses artificial intelligence algorithms to analyze data and execute demand forecasts and dynamic pricing models to determine the optimal parking space. This analysis is based on historical usage data and utilizes machine learning techniques. 【0081】 Users can input destination information into their terminal via a user device, receiving real-time information on the most suitable parking spaces provided by the server. They can also use a mobile application to check parking space availability and fees via an API, and make reservations. 【0082】 Furthermore, the device works in conjunction with a GPS system to provide users with the optimal route to their chosen parking space. This is expected to reduce fuel consumption and environmental impact. 【0083】 As a concrete example, when a user is heading to a city, they use a smartphone app to search for parking, and the app displays available parking spaces near their destination, allowing them to reserve their preferred spot. The server then displays an appropriate fee based on demand, and the user confirms the reservation. Finally, the application provides the optimal route to guide the user to their chosen parking space. 【0084】 An example of a prompt statement is, "I want to know the best parking space and price when looking for parking in the city center." By using this prompt statement, the AI ​​model extracts the most suitable parking information and reflects it in the system, providing the user with the optimal solution. 【0085】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0086】 Step 1: 【0087】 The server collects data in real time from sensors and cameras installed in each parking space. Inputs include vehicle detection data from sensors and image data from cameras. The server processes this data in the information management unit and outputs it as information on parking space availability and current fees. 【0088】 Step 2: 【0089】 The server uses an artificial intelligence algorithm to analyze the collected data. The input is parking information obtained in step 1, and past parking patterns and usage rate data are also used. The AI ​​model analyzes this data to determine the optimal parking space and outputs a list of optimized parking spaces. 【0090】 Step 3: 【0091】 The user device, or terminal, receives destination information specified by the user as input. It retrieves optimal parking space information near the destination from the server via an API and outputs it to the user in a format that displays it. This display includes real-time availability and pricing information. 【0092】 Step 4: 【0093】 The user selects their desired parking space from a list of parking spaces displayed on the terminal and enters their reservation information. The terminal then sends the reservation request to the server based on this input. The server records the reservation information in its database and sends a reservation completion notification to the user. 【0094】 Step 5: 【0095】 The server uses parking demand forecasting and a dynamic pricing model to dynamically calculate the fee for selected parking spaces. Reservation information and demand status are used as input, and the optimal price is output. This ensures that the fee information received by the user is updated in real time. 【0096】 Step 6: 【0097】 The terminal works in conjunction with a GPS system to calculate the shortest and most efficient route to the selected parking space. Current location, destination, and traffic information are used as input, and the optimal driving route is output. The user receives visual guidance through a map application on the terminal. 【0098】 Step 7: 【0099】 The server continuously monitors the security of the parking lot and verifies vehicle safety based on collected video and sensor information. Sensor data and camera footage are used as input data to identify vehicles, and anomalies are detected based on this data. This information is notified to the administrator as needed, and alerts are issued to enable quick action in the event of an incident. 【0100】 (Application Example 1) 【0101】 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." 【0102】 In urban areas, the shortage of parking spaces and the difficulty of efficient use of them lead to wasted time searching for parking, traffic congestion, and environmental burdens. To solve this problem, there is a need for a system that provides real-time information on parking availability and promotes efficient reservations and use. Furthermore, factors such as dynamic adjustment of parking fees, ensuring safety, and improving energy efficiency must also be considered. 【0103】 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. 【0104】 In this invention, the server includes means for receiving data from an information collection device and analyzing the usage status of parking spaces, means for identifying the optimal parking space based on destination information from a user terminal, and means for dynamically adjusting parking fees according to supply and demand. This enables efficient and economical use of parking spaces. 【0105】 An "information gathering device" is a device that acquires data such as the usage and occupancy status of a parking space in real time. 【0106】 A "user terminal" is a device that allows users to obtain parking information and check reservations and optimal routes. 【0107】 "Dynamic adjustment" is a process that changes parking fees and parking space availability in real time according to supply and demand conditions. 【0108】 "Mobile vehicle identification" is a technology for accurately identifying and managing vehicles within a parking lot. 【0109】 The "safety monitoring function" is a system for detecting and notifying of anomalies, designed to ensure safety within the parking lot. 【0110】 "Real-time information provision" is a function that instantly reflects the current parking availability and presents users with the latest information. 【0111】 "Reservation information management" is a system for recording and managing parking space reservations made by users. 【0112】 Route calculation that considers "energy efficiency" is the process of calculating the optimal route to minimize fuel consumption during travel. 【0113】 The "notification function" is a system that quickly informs the user when an abnormality occurs, in order to enhance the safety of parked vehicles. 【0114】 This invention aims to build a system that utilizes AI and IoT technologies to achieve efficient use of parking spaces in urban areas. The embodiments of this system are described in detail below. 【0115】 The server analyzes real-time data acquired from information collection devices placed in each parking lot to monitor the usage status of the parking spaces. This allows it to understand the availability and fees of parking spaces and dynamically adjust fees according to supply and demand. 【0116】 The terminal receives information on the optimal parking area from the server based on the destination information specified by the user. This information is also used to present the user with the best possible travel route using navigation technology. During travel, the system is designed to calculate and present a route that takes energy efficiency into consideration. 【0117】 Furthermore, users can reserve parking spaces in advance via a terminal. The server manages this reservation information and provides dynamic pricing based on supply and demand, as well as a variable-rate reservation function. The system ensures vehicle safety within the parking lot through mobile identification and safety monitoring functions. If an anomaly is detected, a notification can be immediately sent to the user. 【0118】 As a concrete example, when a user goes shopping on the weekend, they can use a smartphone app to search for and reserve parking in advance. The app displays available parking spaces near their current location, allows them to select a specific location, and check the exact price. Furthermore, the app provides information on the shortest route, helping them reach their destination while avoiding traffic congestion. 【0119】 An example of a prompt for a generative AI model might be, "What is the optimal way to efficiently display available parking spaces in real time in a parking management app?" 【0120】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0121】 Step 1: 【0122】 The server acquires real-time occupancy data from information collection devices installed in each parking lot. Based on the acquired data, it stores the availability of parking spaces in a database. This allows for an up-to-date understanding of the overall usage status of the parking lot. The input is occupancy status data sent from each device, and the output is updated parking space availability information. 【0123】 Step 2: 【0124】 The user uses a terminal to specify their desired destination and sends a request to the server. The terminal takes the user's location information and desired destination as input, and this data serves as the basis for receiving parking availability information. The output is a list of the best parking options presented to the user. 【0125】 Step 3: 【0126】 The server identifies the optimal parking space based on the received user location and destination information. Considering availability and current demand, it selects the most convenient parking space for the user. This process uses an AI algorithm to find the optimal solution considering the shortest distance and cost-effectiveness. The input is the user's location and parking availability information, and the output is a suggestion for the optimal parking space. 【0127】 Step 4: 【0128】 The terminal displays information on the best parking spaces provided by the server to the user. The user selects their preferred space from the presented parking options and proceeds with the reservation process. This process is performed through the user interface, and the specific location of the parking space and fee information are output. 【0129】 Step 5: 【0130】 The server confirms the reservation of the parking space selected by the user and stores the reservation information in the database. At the same time, it readjusts the parking fee according to actual usage via a dynamic pricing system. In this step, reservation information and real-time supply and demand data are used as input, and the output is the confirmed reservation information and final fee. 【0131】 Step 6: 【0132】 The terminal generates the optimal route to the designated parking space based on the GPS system and guides the user. This guidance includes real-time route changes based on traffic conditions. The input is the destination and real-time traffic data, and the output is an optimized driving route to assist the user's movement. 【0133】 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. 【0134】 This invention combines an emotion engine with a parking management system to provide a parking service that takes user emotions into consideration. This invention allows for adjustments to parking space selection and route guidance based on the user's psychological state, resulting in a stress-free and comfortable parking experience. 【0135】 Introducing an emotional engine 【0136】 The server is equipped with an emotion engine that analyzes the user's emotional state based on information transmitted from the user's terminal, including camera and voice input. This allows for real-time monitoring of the user's psychological state while driving or searching for parking. 【0137】 Optimizing parking lot selection and route guidance 【0138】 The terminal takes into account the user's emotional information, recognized by the emotion engine, and customizes the parking space options provided by the server. For example, if it is determined that the user is in a hurry, it can prioritize suggesting more available parking spaces. 【0139】 User interface adjustments 【0140】 The device provides a display interface that responds to the user's emotions. Therefore, when the user is not in a normal emotional state, the interface is simplified and made easier to operate. This allows the user to operate the device calmly. 【0141】 Specific example 【0142】 For example, if a user exhibits extreme tension while driving, the emotion engine analyzes this emotion, and the device suggests the most easily accessible parking spot. The server then adjusts the displayed route guidance to ensure it is the shortest and simplest path. 【0143】 This invention makes it possible for parking management systems to take into account not only technical efficiency but also the psychological comfort of users, and is expected to improve the parking experience for society as a whole. 【0144】 The following describes the processing flow. 【0145】 Step 1: 【0146】 The user initiates a parking space search through a smartphone app or the in-car system interface. During this process, the user's eye movements, facial expressions, and voice tone are collected by cameras and microphones. 【0147】 Step 2: 【0148】 The device activates its built-in emotion engine to analyze the collected user emotion data. This engine uses machine learning models to evaluate the user's emotional state in real time. 【0149】 Step 3: 【0150】 The server calculates the optimal parking space based on the user's current location and destination information, along with their sentiment information. Sentiment information is used to prioritize parking space selection. 【0151】 Step 4: 【0152】 The terminal provides the user with a list of parking space options received from the server. The interface automatically adjusts to a user-friendly design based on the user's emotional state. 【0153】 Step 5: 【0154】 For the parking space selected by the user, the server checks the current availability, calculates the optimal price, and confirms the reservation. Dynamic pricing is applied to this reservation. 【0155】 Step 6: 【0156】 The device calculates the optimal route for the user and uses an emotion engine to guide the user in a way that reduces stress. In this process, the route with the least traffic is selected whenever possible. 【0157】 Step 7: 【0158】 The server identifies vehicles upon arrival at the parking lot to ensure safety. Depending on the user's status, this information is provided through an appropriate notification method. 【0159】 Through the process described above, a parking management system utilizing an emotion engine significantly improves the parking experience by taking into account the user's psychological comfort. 【0160】 (Example 2) 【0161】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0162】 Traditional parking management systems prioritized technical efficiency while failing to consider the psychological comfort of the user, resulting in a stressful parking experience. There was a need for a system that could provide parking space selection and route guidance tailored to the driver's psychological state. 【0163】 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. 【0164】 In this invention, the server includes means for receiving data from an information gathering unit and analyzing the usage status of parking spaces, means for having an emotion analysis function for analyzing the user's psychological state, and means for adjusting the selection of parking spaces based on the emotion analysis results. This makes it possible to provide a stress-free parking experience that is tailored to the user's psychological state. 【0165】 The "Information Gathering Department" is a department that has the function of acquiring data for analyzing the usage status of parking spaces and the emotional state of users. 【0166】 The "emotion analysis function" is a technology that infers the user's psychological state based on their facial expressions and voice data, and reflects this in the selection and guidance of parking spaces. 【0167】 The "means for adjusting parking space options" are methods for suggesting the optimal parking location based on the user's psychological state, as obtained through an emotion analysis function. 【0168】 "User interface adjustment means" refers to methods that optimize the interface according to the user's emotional state, making it easy for the user to operate. 【0169】 This invention introduces an emotion engine into a parking management system to provide services that take into account the user's emotional state, thereby realizing a stress-free parking experience. 【0170】 The server, as the core of the parking management system, receives data from the information gathering unit and analyzes the usage status of parking spaces. To achieve this, the server utilizes a large-scale database and hardware with real-time processing capabilities. The emotion engine performs image recognition and natural language processing to analyze camera input, voice input, and other data. Based on this analysis, it estimates the user's psychological state in real time. 【0171】 The terminal displays the most suitable parking space options to the user based on sentiment analysis results provided by the server. Route guidance and the user interface are automatically adjusted according to the user's emotional state. For example, if the analysis indicates that the user is in a hurry, the system will prioritize guiding the user to a more available parking space. The user interface is also simplified to reduce tension and is designed to be more intuitive to use. 【0172】 For example, if a user exhibits extreme tension while driving, the emotion engine recognizes this tension in real time, and the device suggests the nearest safe parking space. The server calculates the shortest route considering traffic conditions and sends it to the device. Furthermore, the interface is adjusted according to the emotional state, allowing the user to reach their destination simply by following simple instructions. 【0173】 Examples of input prompts for a generative AI model: 【0174】 "I'm currently driving. I'm feeling a bit nervous, but I'm looking for a nearby, easily accessible parking space. How can you guide me?" 【0175】 This invention allows parking management systems to improve the overall parking experience by prioritizing not only conventional technical efficiency but also user psychological comfort. 【0176】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0177】 Step 1: 【0178】 The user inputs information into the terminal via camera and microphone at the start of operation. The terminal captures and records emotional information such as the user's facial expressions and voice in real time. This collects data necessary for emotion analysis. 【0179】 Step 2: 【0180】 The device transmits the collected user video and audio data to the server. The server receives this data and performs analysis using an emotion analysis engine. Here, image recognition and audio analysis technologies are used to infer the user's psychological state. As an output of this analysis, the user's emotional state is tagged (e.g., relaxed, anxious, tense). 【0181】 Step 3: 【0182】 The server processes the data to select the optimal parking space based on the analyzed emotional state information. The user's emotional state, along with current parking situation data, is used as input. The server integrates this data to generate the best options. The output includes recommended parking spaces and their ratings. 【0183】 Step 4: 【0184】 The terminal receives recommended parking space and route information from the server. The user interface is temporarily adjusted according to the user's emotional state. For example, a simple and relaxing design is applied to a stressed user. This means the user is guided to a suitable parking space without feeling any inconvenience. 【0185】 Step 5: 【0186】 The user follows the instructions on the terminal to reach the parking lot. The terminal displays the optimal route, incorporating real-time traffic information. If the terminal detects that the user is emotionally unstable, additional voice guidance is provided. Ultimately, the user can arrive at the designated parking space without stress. 【0187】 (Application Example 2) 【0188】 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". 【0189】 Conventional parking management systems provide parking spaces without considering the user's emotional state, thus failing to improve service from the perspective of reducing the user's psychological burden. As a result, users may experience stress when selecting a parking space or driving. In particular, the lack of a quick and easy way to park when busy or stressed is a problem. 【0190】 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. 【0191】 In this invention, the server includes an emotion analysis function for analyzing the user's emotional state, means for optimizing the selection of parking spaces based on the user's psychological state, means for dynamically adjusting the user interface according to the emotion, and means for providing a route suggestion function that provides the user with emotionally appropriate parking guidance within the autonomous vehicle. This enables the presentation of parking spaces suitable for the user's psychological state and an improvement in the convergence of the user experience. 【0192】 The "Information Gathering Unit" is a device that monitors the usage status of parking spaces and receives related data. 【0193】 A "user terminal" is a communication device operated by the user, used for selecting parking spaces and receiving route guidance. 【0194】 "Emotion analysis function" refers to a function that uses cameras, sensors, etc., to recognize and analyze the user's emotional state. 【0195】 "Means of optimization based on psychological state" refers to methods for adjusting parking space selection and guidance by taking into account the user's emotional state. 【0196】 "Means of dynamically adjusting the user interface" refers to methods of changing the displayed content and operation methods according to the user's emotional state, thereby modifying the interface to make it easier for the user to use. 【0197】 The "route suggestion function" is a guidance function that provides users with the optimal and safest parking route. 【0198】 An "autonomous vehicle" is a vehicle that has the ability to drive itself, without relying on human operation. 【0199】 To realize this invention, an emotion recognition system is installed in an autonomous vehicle, and various means are combined to provide a parking experience based on the user's psychological state. The server uses the vehicle's cameras and the Emotion Recognition SDK to analyze the user's emotions in real time. The analyzed emotion data is transmitted to the user's smartphone or the vehicle's infotainment system. 【0200】 This allows the server to provide parking space options based on emotional information. For example, if the server detects that the user is stressed, it will present the most accessible parking space for the user. The user interface is also dynamically adjusted according to the emotional state, for example, by providing features that simplify the operation menu so that the user can operate it calmly. Autonomous vehicles use the Autonomous Car API to provide optimal parking guidance and reduce stress while driving. 【0201】 As a concrete example, consider a scenario where a customer has arrived at their destination after a long drive. If the camera captures the user's tired expression and the Emotion Recognition SDK determines that the user is fatigued, the server will suggest a nearby, easily accessible parking lot. The display will be simplified, and the voice guidance will be in a relaxed tone. An example of a prompt for the generative AI model would be, "Based on the camera input image, identify the driver's current emotion." 【0202】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0203】 Step 1: 【0204】 The server receives video data transmitted from cameras mounted on the vehicle. This input data is passed to the Emotion Recognition SDK, which analyzes the user's emotions from their facial expressions. As a result of the analysis, it identifies the emotional state and outputs labels such as "tension" and "fatigue." 【0205】 Step 2: 【0206】 Based on the emotion analysis results, the server selects a parking space suitable for the user. If the emotion is "tension," the server searches for a parking lot that is easier to access and outputs its location information. At this time, the server also takes into account the parking lot's occupancy rate and current traffic conditions. 【0207】 Step 3: 【0208】 The terminal uses parking location information received from the server and information to dynamically adjust the user interface, which is then displayed on the in-car display. The screen layout and guidance text are adjusted according to the user's emotional state, outputting an optimized interface that is easy for the user to understand. 【0209】 Step 4: 【0210】 The user follows the instructions from the terminal and moves the vehicle to the designated parking space. The terminal issues instructions via the Autonomous Car API and utilizes autonomous driving functions as needed to safely reach the parking space. During this process, voice guidance is also provided in a gentle, emotionally responsive tone. 【0211】 Step 5: 【0212】 After parking is complete, the server records the parking status and collects user experience feedback. The collected data is analyzed to improve the service in the future and used as foundational data for introducing new improvement measures. 【0213】 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. 【0214】 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. 【0215】 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. 【0216】 [Second Embodiment] 【0217】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0218】 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. 【0219】 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). 【0220】 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. 【0221】 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. 【0222】 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). 【0223】 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. 【0224】 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. 【0225】 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. 【0226】 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. 【0227】 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. 【0228】 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". 【0229】 The parking management system according to the present invention utilizes AI and IoT technologies to achieve efficient use of parking spaces in urban areas. The following describes specific embodiments of the system. 【0230】 Data collection and analysis 【0231】 The server collects real-time data from sensors, cameras, and IoT devices installed in each parking lot to obtain information on parking space availability and fees. This data changes in the form of a CE diamond, forming the basis for identifying the optimal parking space. 【0232】 Information distribution to users 【0233】 The terminal receives parking space information provided by the server based on the destination information specified by the user. This allows the user to check and select the best parking option from their current location to the vicinity of their destination in real time. 【0234】 Parking space reservation and fee adjustment 【0235】 Users can reserve a selected parking space in advance using the terminal's interface. The server then uses dynamic pricing to display rates based on parking demand. 【0236】 Route guidance function 【0237】 The terminal guides the user to the optimal route to the selected parking space. This is done using GPS systems and current traffic information, providing an energy-efficient route. This reduces idling time during travel, minimizing fuel consumption and environmental impact. 【0238】 Security management function 【0239】 The server identifies vehicles in the parking lot and monitors them to ensure safety. This allows vehicles to be parked safely even in unmanned parking lots. If an anomaly is detected, an alert is issued, enabling a quick response. 【0240】 Specific example 【0241】 For example, imagine a user heading to the city center and searching for parking via a smartphone app. The app displays available parking spaces near the destination, and the user reserves a preferred spot. The server displays a dynamic price, and the user confirms the reservation. The app then guides the user to the shortest and most environmentally friendly route from their home to the parking lot. 【0242】 This invention reduces wasted time searching for parking spaces, making urban parking more efficient and economical. 【0243】 The following describes the processing flow. 【0244】 Step 1: 【0245】 The server continuously collects real-time data from sensors and cameras placed in parking lots and on-street parking spaces. This data includes availability, location information, and pricing information. 【0246】 Step 2: 【0247】 The server processes the collected data and performs analysis using artificial intelligence algorithms. This allows for optimized parking lot placement and an understanding of current availability. 【0248】 Step 3: 【0249】 The user launches the app on their smartphone or in-car device and enters the destination address or location information. This initiates the search for parking spaces. 【0250】 Step 4: 【0251】 The terminal sends destination information received from the user to the server and requests information about nearby parking spaces. 【0252】 Step 5: 【0253】 The server identifies the most suitable parking space based on the user's current location and entered destination, and sends information such as availability, cost, and distance back to the terminal. 【0254】 Step 6: 【0255】 The terminal displays a list of received parking space information to the user, offering them options. The user can select their desired parking space and make a reservation in advance. 【0256】 Step 7: 【0257】 The server reserves the parking space selected by the user and sets the price by applying dynamic pricing as needed. 【0258】 Step 8: 【0259】 The terminal guides the user to the optimal route to the selected parking space. This includes efficient routes that take real-time traffic conditions into account. 【0260】 Step 9: 【0261】 When the user arrives at the parking lot, the terminal confirms the vehicle's parking location and guides them to complete the parking process. 【0262】 Step 10: 【0263】 The server uses vehicle identification technology to monitor vehicles in the parking lot and ensure safety. It also sends notifications in case of anomalies, enabling a quick response. 【0264】 (Example 1) 【0265】 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." 【0266】 Conventional parking management systems have made it difficult to efficiently utilize parking spaces in urban areas. Furthermore, they often lack real-time information on parking locations, requiring users to spend considerable time and effort searching for a parking spot. Additionally, the lack of appropriate pricing based on demand fluctuations can lead to a sense of unfairness regarding parking fees. Moreover, inadequate security within parking lots often means that vehicle safety cannot be guaranteed. 【0267】 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. 【0268】 In this invention, the server includes means for receiving data from the information management unit and analyzing the usage status of the parking area, means for identifying the optimal parking area based on destination information from the user device, and means for dynamically adjusting parking fees according to supply and demand. This enables efficient use of parking spaces, real-time provision of optimal parking information to users, fair pricing according to demand, and ensuring a safe parking environment. 【0269】 The "Information Management Department" is the department responsible for receiving data from sensors and devices placed in each parking area, and for managing and processing that data as information. 【0270】 "User equipment" refers to terminal devices used by users to check and manage parking information, and typically includes mobile devices or dedicated applications. 【0271】 An "artificial intelligence algorithm" is a computational method that uses machine learning models and other tools to analyze parking conditions and usage patterns, and then proposes the optimal parking location and fees. 【0272】 "Dynamic adjustment" refers to analyzing the ever-changing supply and demand situation for parking spaces and making timely changes to parking fees and space management based on the results. 【0273】 "Real-time delivery" means providing users with current information immediately with minimal delay, and aims to always reflect the latest data. 【0274】 "Safety monitoring function" refers to monitoring activities conducted using sensor devices and cameras to detect suspicious movements or incidents within the parking lot and enable a swift response. 【0275】 This invention is implemented primarily as a system including an information management unit, user devices, and artificial intelligence algorithms. The server collects real-time data using sensors, cameras, and IoT devices installed in the parking area. This data includes parking space availability and fee information, and is organized by the information management unit. 【0276】 The server uses artificial intelligence algorithms to analyze data and execute demand forecasts and dynamic pricing models to determine the optimal parking space. This analysis is based on historical usage data and utilizes machine learning techniques. 【0277】 Users can input destination information into their terminal via a user device, receiving real-time information on the most suitable parking spaces provided by the server. They can also use a mobile application to check parking space availability and fees via an API, and make reservations. 【0278】 Furthermore, the device works in conjunction with a GPS system to provide users with the optimal route to their chosen parking space. This is expected to reduce fuel consumption and environmental impact. 【0279】 As a concrete example, when a user is heading to a city, they use a smartphone app to search for parking, and the app displays available parking spaces near their destination, allowing them to reserve their preferred spot. The server then displays an appropriate fee based on demand, and the user confirms the reservation. Finally, the application provides the optimal route to guide the user to their chosen parking space. 【0280】 As an example of a prompt sentence, there is "I want to know the optimal parking space and fee when looking for a parking lot in the city center." By using this prompt sentence to extract the optimal parking information from the AI model and reflecting it in the system, an optimal solution is provided to the user. 【0281】 The flow of the specific process in Example 1 will be described using FIG. 11. 【0282】 Step 1: 【0283】 The server collects data in real time from sensors and cameras installed in each parking area. The input is vehicle detection data from sensors and image data from cameras. The server processes this in the information management section and outputs it as the availability status of parking spaces and current fee information. 【0284】 Step 2: 【0285】 The server analyzes the collected data using an artificial intelligence algorithm. The input is the parking information obtained in Step 1, and past parking patterns and utilization rate data are also used. The AI model analyzes these data to determine the optimal parking space and outputs a list of optimized parking spaces. 【0286】 Step 3: 【0287】 The user device, that is, the terminal, receives the destination information specified by the user as an input. It obtains the optimal parking space information near the destination provided by the server through the API and outputs it in a form that is displayed to the user. This display includes real-time availability status and fee information. 【0288】 Step 4: 【0289】 The user selects their desired parking space from a list of parking spaces displayed on the terminal and enters their reservation information. The terminal then sends the reservation request to the server based on this input. The server records the reservation information in its database and sends a reservation completion notification to the user. 【0290】 Step 5: 【0291】 The server uses parking demand forecasting and a dynamic pricing model to dynamically calculate the fee for selected parking spaces. Reservation information and demand status are used as input, and the optimal price is output. This ensures that the fee information received by the user is updated in real time. 【0292】 Step 6: 【0293】 The terminal works in conjunction with a GPS system to calculate the shortest and most efficient route to the selected parking space. Current location, destination, and traffic information are used as input, and the optimal driving route is output. The user receives visual guidance through a map application on the terminal. 【0294】 Step 7: 【0295】 The server continuously monitors the security of the parking lot and verifies vehicle safety based on collected video and sensor information. Sensor data and camera footage are used as input data to identify vehicles, and anomalies are detected based on this data. This information is notified to the administrator as needed, and alerts are issued to enable quick action in the event of an incident. 【0296】 (Application Example 1) 【0297】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0298】 In urban areas, the shortage of parking spaces and the difficulty of efficient use of them lead to wasted time searching for parking, traffic congestion, and environmental burdens. To solve this problem, there is a need for a system that provides real-time information on parking availability and promotes efficient reservations and use. Furthermore, factors such as dynamic adjustment of parking fees, ensuring safety, and improving energy efficiency must also be considered. 【0299】 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. 【0300】 In this invention, the server includes means for receiving data from an information collection device and analyzing the usage status of parking spaces, means for identifying the optimal parking space based on destination information from a user terminal, and means for dynamically adjusting parking fees according to supply and demand. This enables efficient and economical use of parking spaces. 【0301】 An "information gathering device" is a device that acquires data such as the usage and occupancy status of parking spaces in real time. 【0302】 A "user terminal" is a device that allows users to obtain parking information and check reservations and optimal routes. 【0303】 "Dynamic adjustment" is a process that changes parking fees and parking space availability in real time according to supply and demand conditions. 【0304】 "Mobile vehicle identification" is a technology for accurately identifying and managing vehicles within a parking lot. 【0305】 The "safety monitoring function" is a system for detecting and notifying of anomalies, designed to ensure safety within the parking lot. 【0306】 "Real-time information provision" is a function that instantly reflects the current availability of parking spaces and presents users with the latest information. 【0307】 "Reservation Information Management" is a system for recording and managing the reservations of parking spaces made by users. 【0308】 Route calculation considering "energy efficiency" is a process of calculating the optimal driving route in order to minimize fuel consumption during movement. 【0309】 The "notification function" is a mechanism for quickly notifying users when an abnormality occurs in order to enhance the safety of vehicles during parking. 【0310】 This invention constructs a system that utilizes AI and IoT technologies in order to achieve efficient utilization of parking spaces in urban areas. The embodiments will be specifically described below. 【0311】 The server analyzes the real-time data obtained from the information collection devices arranged in each parking lot, and monitors the usage status of the parking area. Thereby, the availability information and fees of the parking spaces are grasped, and the fees are dynamically adjusted according to supply and demand. 【0312】 The terminal receives information on the optimal parking area from the server based on the destination information specified by the user. Such information is also utilized to present the optimal movement route to the user by making full use of navigation technology. During movement, it is designed to calculate and present a route considering energy efficiency. 【0313】 In addition, the user can reserve a parking space in advance through the terminal. The server manages these reservation information and provides a dynamic fee presentation according to supply and demand as well as a reservation function based on fluctuations. The system ensures the safety of vehicles in the parking lot with a mobile identification and safety monitoring function. When an abnormality is detected, a notification can be immediately sent to the user. 【0314】 As a concrete example, when a user goes shopping on the weekend, they can use a smartphone app to search for and reserve parking in advance. The app displays available parking spaces near their current location, allows them to select a specific location, and check the exact price. Furthermore, the app provides information on the shortest route, helping them reach their destination while avoiding traffic congestion. 【0315】 An example of a prompt for a generative AI model might be, "What is the optimal way to efficiently display available parking spaces in real time in a parking management app?" 【0316】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0317】 Step 1: 【0318】 The server acquires real-time occupancy data from information collection devices installed in each parking lot. Based on the acquired data, it stores the availability of parking spaces in a database. This allows for an up-to-date understanding of the overall usage status of the parking lot. The input is occupancy status data sent from each device, and the output is updated parking space availability information. 【0319】 Step 2: 【0320】 The user uses a terminal to specify their desired destination and sends a request to the server. The terminal takes the user's location information and desired destination as input, and this data serves as the basis for receiving parking availability information. The output is a list of the best parking options presented to the user. 【0321】 Step 3: 【0322】 The server identifies the optimal parking space based on the received user location and destination information. Considering availability and current demand, it selects the most convenient parking space for the user. This process uses an AI algorithm to find the optimal solution considering the shortest distance and cost-effectiveness. The input is the user's location and parking availability information, and the output is a suggestion for the optimal parking space. 【0323】 Step 4: 【0324】 The terminal displays information on the best parking spaces provided by the server to the user. The user selects their preferred space from the presented parking options and proceeds with the reservation process. This process is performed through the user interface, and the specific location of the parking space and fee information are output. 【0325】 Step 5: 【0326】 The server confirms the reservation of the parking space selected by the user and stores the reservation information in the database. At the same time, it readjusts the parking fee according to actual usage via a dynamic pricing system. In this step, reservation information and real-time supply and demand data are used as input, and the output is the confirmed reservation information and final fee. 【0327】 Step 6: 【0328】 The terminal generates the optimal route to the designated parking space based on the GPS system and guides the user. This guidance includes real-time route changes based on traffic conditions. The input is the destination and real-time traffic data, and the output is an optimized driving route to assist the user's movement. 【0329】 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. 【0330】 This invention combines an emotion engine with a parking management system to provide a parking service that takes user emotions into consideration. This invention allows for adjustments to parking space selection and route guidance based on the user's psychological state, resulting in a stress-free and comfortable parking experience. 【0331】 Introducing an emotional engine 【0332】 The server is equipped with an emotion engine that analyzes the user's emotional state based on information transmitted from the user's terminal, including camera and voice input. This allows for real-time monitoring of the user's psychological state while driving or searching for parking. 【0333】 Optimizing parking lot selection and route guidance 【0334】 The terminal takes into account the user's emotional information, recognized by the emotion engine, and customizes the parking space options provided by the server. For example, if it is determined that the user is in a hurry, it can prioritize suggesting more available parking spaces. 【0335】 Adjusting the user interface 【0336】 The device provides a display interface that responds to the user's emotions. Therefore, when the user is not in a normal emotional state, the interface is simplified and made easier to operate. This allows the user to operate the device calmly. 【0337】 Specific example 【0338】 For example, if a user exhibits extreme tension while driving, the emotion engine analyzes this emotion, and the device suggests the most easily accessible parking spot. The server then adjusts the displayed route guidance to ensure it is the shortest and simplest path. 【0339】 This invention makes it possible for parking management systems to take into account not only technical efficiency but also the psychological comfort of users, and is expected to improve the parking experience for society as a whole. 【0340】 The following describes the processing flow. 【0341】 Step 1: 【0342】 The user initiates a parking space search through a smartphone app or the in-car system interface. During this process, the user's eye movements, facial expressions, and voice tone are collected by cameras and microphones. 【0343】 Step 2: 【0344】 The device activates its built-in emotion engine to analyze the collected user emotion data. This engine uses machine learning models to evaluate the user's emotional state in real time. 【0345】 Step 3: 【0346】 The server calculates the optimal parking space based on the user's current location and destination information, along with their sentiment information. Sentiment information is used to prioritize parking space selection. 【0347】 Step 4: 【0348】 The terminal provides the user with a list of parking space options received from the server. The interface automatically adjusts to a user-friendly design based on the user's emotional state. 【0349】 Step 5: 【0350】 For the parking space selected by the user, the server checks the current availability, calculates the optimal price, and confirms the reservation. Dynamic pricing is applied to this reservation. 【0351】 Step 6: 【0352】 The device calculates the optimal route for the user and uses an emotion engine to guide the user in a way that reduces stress. In this process, the route with the least traffic is selected whenever possible. 【0353】 Step 7: 【0354】 The server identifies vehicles upon arrival at the parking lot to ensure safety. Depending on the user's status, this information is provided through an appropriate notification method. 【0355】 Through the process described above, a parking management system utilizing an emotion engine significantly improves the parking experience by taking into account the user's psychological comfort. 【0356】 (Example 2) 【0357】 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". 【0358】 Traditional parking management systems prioritized technical efficiency while failing to consider the psychological comfort of the user, resulting in a stressful parking experience. There was a need for a system that could provide parking space selection and route guidance tailored to the driver's psychological state. 【0359】 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. 【0360】 In this invention, the server includes means for receiving data from an information gathering unit and analyzing the usage status of parking spaces, means for having an emotion analysis function for analyzing the user's psychological state, and means for adjusting the selection of parking spaces based on the emotion analysis results. This makes it possible to provide a stress-free parking experience that is tailored to the user's psychological state. 【0361】 The "Information Gathering Department" is a department that has the function of acquiring data for analyzing the usage status of parking spaces and the emotional state of users. 【0362】 The "emotion analysis function" is a technology that infers the user's psychological state based on their facial expressions and voice data, and reflects this in the selection and guidance of parking spaces. 【0363】 The "means for adjusting parking space options" are methods for suggesting the optimal parking location based on the user's psychological state, as obtained through an emotion analysis function. 【0364】 "User interface adjustment means" refers to methods that optimize the interface according to the user's emotional state, making it easy for the user to operate. 【0365】 This invention introduces an emotion engine into a parking management system to provide services that take into account the user's emotional state, thereby realizing a stress-free parking experience. 【0366】 The server, as the core of the parking management system, receives data from the information gathering unit and analyzes the usage status of parking spaces. To achieve this, the server utilizes a large-scale database and hardware with real-time processing capabilities. The emotion engine performs image recognition and natural language processing to analyze camera input, voice input, and other data. Based on this analysis, it estimates the user's psychological state in real time. 【0367】 The terminal displays the most suitable parking space options to the user based on sentiment analysis results provided by the server. Route guidance and the user interface are automatically adjusted according to the user's emotional state. For example, if the analysis indicates that the user is in a hurry, the system will prioritize guiding the user to a more available parking space. The user interface is also simplified to reduce tension and is designed to be more intuitive to use. 【0368】 For example, if a user exhibits extreme tension while driving, the emotion engine recognizes this tension in real time, and the device suggests the nearest safe parking space. The server calculates the shortest route considering traffic conditions and sends it to the device. Furthermore, the interface is adjusted according to the emotional state, allowing the user to reach their destination simply by following simple instructions. 【0369】 Examples of input prompts for a generative AI model: 【0370】 "I'm currently driving. I'm feeling a bit nervous, but I'm looking for a nearby, easily accessible parking space. How can you guide me?" 【0371】 This invention allows parking management systems to improve the overall parking experience by prioritizing not only conventional technical efficiency but also user psychological comfort. 【0372】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0373】 Step 1: 【0374】 The user inputs information into the terminal via camera and microphone at the start of operation. The terminal captures and records emotional information such as the user's facial expressions and voice in real time. This collects data necessary for emotion analysis. 【0375】 Step 2: 【0376】 The device transmits the collected user video and audio data to the server. The server receives this data and performs analysis using an emotion analysis engine. Here, image recognition and audio analysis technologies are used to infer the user's psychological state. As an output of this analysis, the user's emotional state is tagged (e.g., relaxed, anxious, tense). 【0377】 Step 3: 【0378】 The server processes the data to select the optimal parking space based on the analyzed emotional state information. The user's emotional state, along with current parking situation data, is used as input. The server integrates this data to generate the best options. The output includes recommended parking spaces and their ratings. 【0379】 Step 4: 【0380】 The terminal receives recommended parking space and route information from the server. The user interface is temporarily adjusted according to the user's emotional state. For example, a simple and relaxing design is applied to a stressed user. This means the user is guided to a suitable parking space without feeling any inconvenience. 【0381】 Step 5: 【0382】 The user follows the instructions on the terminal to reach the parking lot. The terminal displays the optimal route, incorporating real-time traffic information. If the terminal detects that the user is emotionally unstable, additional voice guidance is provided. Ultimately, the user can arrive at the designated parking space without stress. 【0383】 (Application Example 2) 【0384】 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." 【0385】 Conventional parking management systems provide parking spaces without considering the user's emotional state, thus failing to improve service from the perspective of reducing the user's psychological burden. As a result, users may experience stress when selecting a parking space or driving. In particular, the lack of a quick and easy way to park when busy or stressed is a problem. 【0386】 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. 【0387】 In this invention, the server includes an emotion analysis function for analyzing the user's emotional state, means for optimizing the selection of parking spaces based on the user's psychological state, means for dynamically adjusting the user interface according to the emotion, and means for providing a route suggestion function that provides the user with emotionally appropriate parking guidance within the autonomous vehicle. This enables the presentation of parking spaces suitable for the user's psychological state and an improvement in the convergence of the user experience. 【0388】 The "Information Gathering Unit" is a device that monitors the usage status of parking spaces and receives related data. 【0389】 A "user terminal" is a communication device operated by the user, used for selecting parking spaces and receiving route guidance. 【0390】 "Emotion analysis function" refers to a function that uses cameras, sensors, etc., to recognize and analyze the user's emotional state. 【0391】 "Means of optimization based on psychological state" refers to methods for adjusting parking space selection and guidance by taking into account the user's emotional state. 【0392】 "Means of dynamically adjusting the user interface" refers to methods of changing the displayed content and operation methods according to the user's emotional state, thereby modifying the interface to make it easier for the user to use. 【0393】 The "route suggestion function" is a guidance function that provides users with the optimal and safest parking route. 【0394】 An "autonomous vehicle" is a vehicle that has the ability to drive itself, without relying on human operation. 【0395】 To realize this invention, an emotion recognition system is installed in an autonomous vehicle, and various means are combined to provide a parking experience based on the user's psychological state. The server uses the vehicle's cameras and the Emotion Recognition SDK to analyze the user's emotions in real time. The analyzed emotion data is transmitted to the user's smartphone or the vehicle's infotainment system. 【0396】 This allows the server to provide parking space options based on emotional information. For example, if the server detects that the user is stressed, it will present the most accessible parking space for the user. The user interface is also dynamically adjusted according to the emotional state, for example, by providing features that simplify the operation menu so that the user can operate it calmly. Autonomous vehicles use the Autonomous Car API to provide optimal parking guidance and reduce stress while driving. 【0397】 As a concrete example, consider a scenario where a customer has arrived at their destination after a long drive. If the camera captures the user's tired expression and the Emotion Recognition SDK determines that the user is fatigued, the server will suggest a nearby, easily accessible parking lot. The display will be simplified, and the voice guidance will be in a relaxed tone. An example of a prompt for the generative AI model would be, "Based on the camera input image, identify the driver's current emotion." 【0398】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0399】 Step 1: 【0400】 The server receives video data transmitted from cameras mounted on the vehicle. This input data is passed to the Emotion Recognition SDK, which analyzes the user's emotions from their facial expressions. As a result of the analysis, it identifies the emotional state and outputs labels such as "tension" and "fatigue." 【0401】 Step 2: 【0402】 Based on the emotion analysis results, the server selects a parking space suitable for the user. If the emotion is "tension," the server searches for a parking lot that is easier to access and outputs its location information. At this time, the server also takes into account the parking lot's occupancy rate and current traffic conditions. 【0403】 Step 3: 【0404】 The terminal uses parking location information received from the server and information to dynamically adjust the user interface, which is then displayed on the in-car display. The screen layout and guidance text are adjusted according to the user's emotional state, outputting an optimized interface that is easy for the user to understand. 【0405】 Step 4: 【0406】 The user follows the instructions from the terminal and moves the vehicle to the designated parking space. The terminal issues instructions via the Autonomous Car API and utilizes autonomous driving functions as needed to safely reach the parking space. During this process, voice guidance is also provided in a gentle, emotionally responsive tone. 【0407】 Step 5: 【0408】 After parking is complete, the server records the parking status and collects user experience feedback. The collected data is analyzed to improve the service in the future and used as foundational data for introducing new improvement measures. 【0409】 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. 【0410】 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. 【0411】 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. 【0412】 [Third Embodiment] 【0413】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0414】 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. 【0415】 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). 【0416】 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. 【0417】 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. 【0418】 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). 【0419】 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. 【0420】 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. 【0421】 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. 【0422】 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. 【0423】 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. 【0424】 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". 【0425】 The parking management system according to the present invention utilizes AI and IoT technologies to achieve efficient use of parking spaces in urban areas. The following describes specific embodiments of the system. 【0426】 Data collection and analysis 【0427】 The server collects real-time data from sensors, cameras, and IoT devices installed in each parking lot to obtain information on parking space availability and fees. This data changes in the form of a CE diamond, forming the basis for identifying the optimal parking space. 【0428】 Information distribution to users 【0429】 The terminal receives parking space information provided by the server based on the destination information specified by the user. This allows the user to check and select the best parking option from their current location to the vicinity of their destination in real time. 【0430】 Parking space reservation and fee adjustment 【0431】 Users can reserve a selected parking space in advance using the terminal's interface. The server then uses dynamic pricing to display rates based on parking demand. 【0432】 Route guidance function 【0433】 The terminal guides the user to the optimal route to the selected parking space. This is done using GPS systems and current traffic information, providing an energy-efficient route. This reduces idling time during travel, minimizing fuel consumption and environmental impact. 【0434】 Security management function 【0435】 The server identifies vehicles in the parking lot and monitors them to ensure safety. This allows vehicles to be parked safely even in unmanned parking lots. If an anomaly is detected, an alert is issued, enabling a quick response. 【0436】 Specific example 【0437】 For example, imagine a user heading to the city center and searching for parking via a smartphone app. The app displays available parking spaces near the destination, and the user reserves a preferred spot. The server displays a dynamic price, and the user confirms the reservation. The app then guides the user to the shortest and most environmentally friendly route from their home to the parking lot. 【0438】 This invention reduces wasted time searching for parking spaces, making urban parking more efficient and economical. 【0439】 The following describes the processing flow. 【0440】 Step 1: 【0441】 The server continuously collects real-time data from sensors and cameras placed in parking lots and on-street parking spaces. This data includes availability, location information, and pricing information. 【0442】 Step 2: 【0443】 The server processes the collected data and performs analysis using artificial intelligence algorithms. This allows for optimized parking lot placement and an understanding of current availability. 【0444】 Step 3: 【0445】 The user launches the app on their smartphone or in-car device and enters the destination address or location information. This initiates the search for parking spaces. 【0446】 Step 4: 【0447】 The terminal sends destination information received from the user to the server and requests information about nearby parking spaces. 【0448】 Step 5: 【0449】 The server identifies the most suitable parking space based on the user's current location and entered destination, and sends information such as availability, cost, and distance back to the terminal. 【0450】 Step 6: 【0451】 The terminal displays a list of received parking space information to the user, offering them options. The user can select their desired parking space and make a reservation in advance. 【0452】 Step 7: 【0453】 The server reserves the parking space selected by the user and sets the price by applying dynamic pricing as needed. 【0454】 Step 8: 【0455】 The terminal guides the user to the optimal route to the selected parking space. This includes efficient routes that take real-time traffic conditions into account. 【0456】 Step 9: 【0457】 When the user arrives at the parking lot, the terminal confirms the vehicle's parking location and guides them to complete the parking process. 【0458】 Step 10: 【0459】 The server uses vehicle identification technology to monitor vehicles in the parking lot and ensure safety. It also sends notifications in case of anomalies, enabling a quick response. 【0460】 (Example 1) 【0461】 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." 【0462】 Conventional parking management systems have made it difficult to efficiently utilize parking spaces in urban areas. Furthermore, they often lack real-time information on parking locations, requiring users to spend considerable time and effort searching for a parking spot. Additionally, the lack of appropriate pricing based on demand fluctuations can lead to a sense of unfairness regarding parking fees. Moreover, inadequate security within parking lots often means that vehicle safety cannot be guaranteed. 【0463】 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. 【0464】 In this invention, the server includes means for receiving data from the information management unit and analyzing the usage status of the parking area, means for identifying the optimal parking area based on destination information from the user device, and means for dynamically adjusting parking fees according to supply and demand. This enables efficient use of parking spaces, real-time provision of optimal parking information to users, fair pricing according to demand, and ensuring a safe parking environment. 【0465】 The "Information Management Department" is the department responsible for receiving data from sensors and devices placed in each parking area, and for managing and processing that data as information. 【0466】 "User equipment" refers to terminal devices used by users to check and manage parking information, and typically includes mobile devices or dedicated applications. 【0467】 An "artificial intelligence algorithm" is a computational method that uses machine learning models and other tools to analyze parking conditions and usage patterns, and then proposes the optimal parking location and fees. 【0468】 "Dynamic adjustment" refers to analyzing the ever-changing supply and demand situation for parking spaces and making timely changes to parking fees and space management based on the results. 【0469】 "Real-time delivery" means providing users with current information immediately with minimal delay, and aims to always reflect the latest data. 【0470】 "Safety monitoring function" refers to monitoring activities conducted using sensor devices and cameras to detect suspicious movements or incidents within the parking lot and enable a swift response. 【0471】 This invention is implemented primarily as a system including an information management unit, user devices, and artificial intelligence algorithms. The server collects real-time data using sensors, cameras, and IoT devices installed in the parking area. This data includes parking space availability and fee information, and is organized by the information management unit. 【0472】 The server uses artificial intelligence algorithms to analyze data and execute demand forecasts and dynamic pricing models to determine the optimal parking space. This analysis is based on historical usage data and utilizes machine learning techniques. 【0473】 Users can input destination information into their terminal via a user device, receiving real-time information on the most suitable parking spaces provided by the server. They can also use a mobile application to check parking space availability and fees via an API, and make reservations. 【0474】 Furthermore, the device works in conjunction with a GPS system to provide users with the optimal route to their chosen parking space. This is expected to reduce fuel consumption and environmental impact. 【0475】 As a concrete example, when a user is heading to a city, they use a smartphone app to search for parking, and the app displays available parking spaces near their destination, allowing them to reserve their preferred spot. The server then displays an appropriate fee based on demand, and the user confirms the reservation. Finally, the application provides the optimal route to guide the user to their chosen parking space. 【0476】 An example of a prompt statement is, "I want to know the best parking space and price when looking for parking in the city center." By using this prompt statement, the AI ​​model extracts the most suitable parking information and reflects it in the system, providing the user with the optimal solution. 【0477】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0478】 Step 1: 【0479】 The server collects data in real time from sensors and cameras installed in each parking space. Inputs include vehicle detection data from sensors and image data from cameras. The server processes this data in the information management unit and outputs it as information on parking space availability and current fees. 【0480】 Step 2: 【0481】 The server uses an artificial intelligence algorithm to analyze the collected data. The input is parking information obtained in step 1, and past parking patterns and usage rate data are also used. The AI ​​model analyzes this data to determine the optimal parking space and outputs a list of optimized parking spaces. 【0482】 Step 3: 【0483】 The user device, or terminal, receives destination information specified by the user as input. It retrieves optimal parking space information near the destination from the server via an API and outputs it to the user in a format that displays it. This display includes real-time availability and pricing information. 【0484】 Step 4: 【0485】 The user selects their desired parking space from a list of parking spaces displayed on the terminal and enters their reservation information. The terminal then sends the reservation request to the server based on this input. The server records the reservation information in its database and sends a reservation completion notification to the user. 【0486】 Step 5: 【0487】 The server uses parking demand forecasting and a dynamic pricing model to dynamically calculate the fee for selected parking spaces. Reservation information and demand status are used as input, and the optimal price is output. This ensures that the fee information received by the user is updated in real time. 【0488】 Step 6: 【0489】 The terminal works in conjunction with a GPS system to calculate the shortest and most efficient route to the selected parking space. Current location, destination, and traffic information are used as input, and the optimal driving route is output. The user receives visual guidance through a map application on the terminal. 【0490】 Step 7: 【0491】 The server continuously monitors the security of the parking lot and verifies vehicle safety based on collected video and sensor information. Sensor data and camera footage are used as input data to identify vehicles, and anomalies are detected based on this data. This information is notified to the administrator as needed, and alerts are issued to enable quick action in the event of an incident. 【0492】 (Application Example 1) 【0493】 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." 【0494】 In urban areas, the shortage of parking spaces and the difficulty of efficient use of them lead to wasted time searching for parking, traffic congestion, and environmental burdens. To solve this problem, there is a need for a system that provides real-time information on parking availability and promotes efficient reservations and use. Furthermore, factors such as dynamic adjustment of parking fees, ensuring safety, and improving energy efficiency must also be considered. 【0495】 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. 【0496】 In this invention, the server includes means for receiving data from an information collection device and analyzing the usage status of parking spaces, means for identifying the optimal parking space based on destination information from a user terminal, and means for dynamically adjusting parking fees according to supply and demand. This enables efficient and economical use of parking spaces. 【0497】 An "information gathering device" is a device that acquires data such as the usage and occupancy status of parking spaces in real time. 【0498】 A "user terminal" is a device that allows users to obtain parking information and check reservations and optimal routes. 【0499】 "Dynamic adjustment" is a process that changes parking fees and parking space availability in real time according to supply and demand conditions. 【0500】 "Mobile vehicle identification" is a technology for accurately identifying and managing vehicles within a parking lot. 【0501】 The "safety monitoring function" is a system for detecting and notifying of anomalies, designed to ensure safety within the parking lot. 【0502】 "Real-time information provision" is a function that instantly reflects the current availability of parking spaces and presents users with the latest information. 【0503】 "Reservation information management" refers to a system for recording and managing parking space reservations made by users. 【0504】 Route calculation that considers "energy efficiency" is the process of calculating the optimal route to minimize fuel consumption during travel. 【0505】 The "notification function" is a system that quickly informs the user when an abnormality occurs, in order to enhance the safety of parked vehicles. 【0506】 This invention aims to build a system that utilizes AI and IoT technologies to achieve efficient use of parking spaces in urban areas. The embodiments of this system are described in detail below. 【0507】 The server analyzes real-time data acquired from information collection devices placed in each parking lot to monitor the usage status of the parking spaces. This allows it to understand the availability and fees of parking spaces and dynamically adjust fees according to supply and demand. 【0508】 The terminal receives information on the optimal parking area from the server based on the destination information specified by the user. This information is also used to present the user with the best possible travel route using navigation technology. During travel, the system is designed to calculate and present a route that takes energy efficiency into consideration. 【0509】 Furthermore, users can reserve parking spaces in advance via a terminal. The server manages this reservation information and provides dynamic pricing based on supply and demand, as well as a variable-rate reservation function. The system ensures vehicle safety within the parking lot through mobile identification and safety monitoring functions. If an anomaly is detected, a notification can be immediately sent to the user. 【0510】 As a concrete example, when a user goes shopping on the weekend, they can use a smartphone app to search for and reserve parking in advance. The app displays available parking spaces near their current location, allows them to select a specific location, and check the exact price. Furthermore, the app provides information on the shortest route, helping them reach their destination while avoiding traffic congestion. 【0511】 An example of a prompt for a generative AI model might be, "What is the optimal way to efficiently display available parking spaces in real time in a parking management app?" 【0512】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0513】 Step 1: 【0514】 The server acquires real-time occupancy data from information collection devices installed in each parking lot. Based on the acquired data, it stores the availability of parking spaces in a database. This allows for an up-to-date understanding of the overall usage status of the parking lot. The input is occupancy status data sent from each device, and the output is updated parking space availability information. 【0515】 Step 2: 【0516】 The user uses a terminal to specify their desired destination and sends a request to the server. The terminal takes the user's location information and desired destination as input, and this data serves as the basis for receiving parking availability information. The output is a list of the best parking options presented to the user. 【0517】 Step 3: 【0518】 The server identifies the optimal parking space based on the received user location and destination information. Considering availability and current demand, it selects the most convenient parking space for the user. This process uses an AI algorithm to find the optimal solution considering the shortest distance and cost-effectiveness. The input is the user's location and parking availability information, and the output is a suggestion for the optimal parking space. 【0519】 Step 4: 【0520】 The terminal displays information on the best parking spaces provided by the server to the user. The user selects their preferred space from the presented parking options and proceeds with the reservation process. This process is performed through the user interface, and the specific location of the parking space and fee information are output. 【0521】 Step 5: 【0522】 The server confirms the reservation of the parking space selected by the user and stores the reservation information in the database. At the same time, it readjusts the parking fee according to actual usage via a dynamic pricing system. In this step, reservation information and real-time supply and demand data are used as input, and the output is the confirmed reservation information and final fee. 【0523】 Step 6: 【0524】 The terminal generates the optimal route to the designated parking space based on the GPS system and guides the user. This guidance includes real-time route changes based on traffic conditions. The input is the destination and real-time traffic data, and the output is an optimized driving route to assist the user's movement. 【0525】 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. 【0526】 This invention combines an emotion engine with a parking management system to provide a parking service that takes user emotions into consideration. This invention allows for adjustments to parking space selection and route guidance based on the user's psychological state, resulting in a stress-free and comfortable parking experience. 【0527】 Introducing an emotional engine 【0528】 The server is equipped with an emotion engine that analyzes the user's emotional state based on information transmitted from the user's terminal, including camera and voice input. This allows for real-time monitoring of the user's psychological state while driving or searching for parking. 【0529】 Optimizing parking lot selection and route guidance 【0530】 The terminal takes into account the user's emotional information, recognized by the emotion engine, and customizes the parking space options provided by the server. For example, if it is determined that the user is in a hurry, it can prioritize suggesting more available parking spaces. 【0531】 Adjusting the user interface 【0532】 The device provides a display interface that responds to the user's emotions. Therefore, when the user is not in a normal emotional state, the interface is simplified and made easier to operate. This allows the user to operate the device calmly. 【0533】 Specific example 【0534】 For example, if a user exhibits extreme tension while driving, the emotion engine analyzes this emotion, and the device suggests the most easily accessible parking spot. The server then adjusts the displayed route guidance to ensure it is the shortest and simplest path. 【0535】 This invention makes it possible for parking management systems to take into account not only technical efficiency but also the psychological comfort of users, and is expected to improve the parking experience for society as a whole. 【0536】 The following describes the processing flow. 【0537】 Step 1: 【0538】 The user initiates a parking space search through a smartphone app or the in-car system interface. During this process, the user's eye movements, facial expressions, and voice tone are collected by cameras and microphones. 【0539】 Step 2: 【0540】 The device activates its built-in emotion engine to analyze the collected user emotion data. This engine uses machine learning models to evaluate the user's emotional state in real time. 【0541】 Step 3: 【0542】 The server calculates the optimal parking space based on the user's current location and destination information, along with their sentiment information. Sentiment information is used to prioritize parking space selection. 【0543】 Step 4: 【0544】 The terminal provides the user with a list of parking space options received from the server. The interface automatically adjusts to a user-friendly design based on the user's emotional state. 【0545】 Step 5: 【0546】 For the parking space selected by the user, the server checks the current availability, calculates the optimal price, and confirms the reservation. Dynamic pricing is applied to this reservation. 【0547】 Step 6: 【0548】 The device calculates the optimal route for the user and uses an emotion engine to guide the user in a way that reduces stress. In this process, the route with the least traffic is selected whenever possible. 【0549】 Step 7: 【0550】 The server identifies vehicles upon arrival at the parking lot to ensure safety. Depending on the user's status, this information is provided through an appropriate notification method. 【0551】 Through the process described above, a parking management system utilizing an emotion engine significantly improves the parking experience by taking into account the user's psychological comfort. 【0552】 (Example 2) 【0553】 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." 【0554】 Traditional parking management systems prioritized technical efficiency while failing to consider the psychological comfort of the user, resulting in a stressful parking experience. There was a need for a system that could provide parking space selection and route guidance tailored to the driver's psychological state. 【0555】 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. 【0556】 In this invention, the server includes means for receiving data from an information gathering unit and analyzing the usage status of parking spaces, means for having an emotion analysis function for analyzing the user's psychological state, and means for adjusting the selection of parking spaces based on the emotion analysis results. This makes it possible to provide a stress-free parking experience that is tailored to the user's psychological state. 【0557】 The "Information Gathering Department" is a department that has the function of acquiring data for analyzing the usage status of parking spaces and the emotional state of users. 【0558】 The "emotion analysis function" is a technology that infers the user's psychological state based on their facial expressions and voice data, and reflects this in the selection and guidance of parking spaces. 【0559】 The "means for adjusting parking space options" are methods for suggesting the optimal parking location based on the user's psychological state, as obtained through an emotion analysis function. 【0560】 "User interface adjustment means" refers to methods that optimize the interface according to the user's emotional state, making it easy for the user to operate. 【0561】 This invention introduces an emotion engine into a parking management system to provide services that take into account the user's emotional state, thereby realizing a stress-free parking experience. 【0562】 The server, as the core of the parking management system, receives data from the information gathering unit and analyzes the usage status of parking spaces. To achieve this, the server utilizes a large-scale database and hardware with real-time processing capabilities. The emotion engine performs image recognition and natural language processing to analyze camera input, voice input, and other data. Based on this analysis, it estimates the user's psychological state in real time. 【0563】 The terminal displays the most suitable parking space options to the user based on sentiment analysis results provided by the server. Route guidance and the user interface are automatically adjusted according to the user's emotional state. For example, if the analysis indicates that the user is in a hurry, the system will prioritize guiding the user to a more available parking space. The user interface is also simplified to reduce tension and is designed to be more intuitive to use. 【0564】 For example, if a user exhibits extreme tension while driving, the emotion engine recognizes this tension in real time, and the device suggests the nearest safe parking space. The server calculates the shortest route considering traffic conditions and sends it to the device. Furthermore, the interface is adjusted according to the emotional state, allowing the user to reach their destination simply by following simple instructions. 【0565】 Examples of input prompts for a generative AI model: 【0566】 "I'm currently driving. I'm feeling a bit nervous, but I'm looking for a nearby, easily accessible parking space. How can you guide me?" 【0567】 This invention allows parking management systems to improve the overall parking experience by prioritizing not only conventional technical efficiency but also user psychological comfort. 【0568】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0569】 Step 1: 【0570】 The user inputs information into the terminal via camera and microphone at the start of operation. The terminal captures and records emotional information such as the user's facial expressions and voice in real time. This collects data necessary for emotion analysis. 【0571】 Step 2: 【0572】 The device transmits the collected user video and audio data to the server. The server receives this data and performs analysis using an emotion analysis engine. Here, image recognition and audio analysis technologies are used to infer the user's psychological state. As an output of this analysis, the user's emotional state is tagged (e.g., relaxed, anxious, tense). 【0573】 Step 3: 【0574】 The server processes the data to select the optimal parking space based on the analyzed emotional state information. The user's emotional state, along with current parking situation data, is used as input. The server integrates this data to generate the best options. The output includes recommended parking spaces and their ratings. 【0575】 Step 4: 【0576】 The terminal receives recommended parking space and route information from the server. The user interface is temporarily adjusted according to the user's emotional state. For example, a simple and relaxing design is applied to a stressed user. This means the user is guided to a suitable parking space without feeling any inconvenience. 【0577】 Step 5: 【0578】 The user follows the instructions on the terminal to reach the parking lot. The terminal displays the optimal route, incorporating real-time traffic information. If the terminal detects that the user is emotionally unstable, additional voice guidance is provided. Ultimately, the user can arrive at the designated parking space without stress. 【0579】 (Application Example 2) 【0580】 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." 【0581】 Conventional parking management systems provide parking spaces without considering the user's emotional state, thus failing to improve service from the perspective of reducing the user's psychological burden. As a result, users may experience stress when selecting a parking space or driving. In particular, the lack of a quick and easy way to park when busy or stressed is a problem. 【0582】 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. 【0583】 In this invention, the server includes an emotion analysis function for analyzing the user's emotional state, means for optimizing the selection of parking spaces based on the user's psychological state, means for dynamically adjusting the user interface according to the emotion, and means for providing a route suggestion function that provides the user with emotionally appropriate parking guidance within the autonomous vehicle. This enables the presentation of parking spaces suitable for the user's psychological state and an improvement in the convergence of the user experience. 【0584】 The "Information Gathering Unit" is a device that monitors the usage status of parking spaces and receives related data. 【0585】 A "user terminal" is a communication device operated by the user, used for selecting parking spaces and receiving route guidance. 【0586】 "Emotion analysis function" refers to a function that uses cameras, sensors, etc., to recognize and analyze the user's emotional state. 【0587】 "Means of optimization based on psychological state" refers to methods for adjusting parking space selection and guidance by taking into account the user's emotional state. 【0588】 "Means of dynamically adjusting the user interface" refers to methods of changing the displayed content and operation methods according to the user's emotional state, thereby modifying the interface to make it easier for the user to use. 【0589】 The "route suggestion function" is a guidance function that provides users with the optimal and safest parking route. 【0590】 An "autonomous vehicle" is a vehicle that has the ability to drive itself, without relying on human operation. 【0591】 To realize this invention, an emotion recognition system is installed in an autonomous vehicle, and various means are combined to provide a parking experience based on the user's psychological state. The server uses the vehicle's cameras and the Emotion Recognition SDK to analyze the user's emotions in real time. The analyzed emotion data is transmitted to the user's smartphone or the vehicle's infotainment system. 【0592】 This allows the server to provide parking space options based on emotional information. For example, if the server detects that the user is stressed, it will present the most accessible parking space for the user. The user interface is also dynamically adjusted according to the emotional state, for example, by providing features that simplify the operation menu so that the user can operate it calmly. Autonomous vehicles use the Autonomous Car API to provide optimal parking guidance and reduce stress while driving. 【0593】 As a concrete example, consider a scenario where a customer has arrived at their destination after a long drive. If the camera captures the user's tired expression and the Emotion Recognition SDK determines that the user is fatigued, the server will suggest a nearby, easily accessible parking lot. The display will be simplified, and the voice guidance will be in a relaxed tone. An example of a prompt for the generative AI model would be, "Based on the camera input image, identify the driver's current emotion." 【0594】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0595】 Step 1: 【0596】 The server receives video data transmitted from cameras mounted on the vehicle. This input data is passed to the Emotion Recognition SDK, which analyzes the user's emotions from their facial expressions. As a result of the analysis, it identifies the emotional state and outputs labels such as "tension" and "fatigue." 【0597】 Step 2: 【0598】 Based on the emotion analysis results, the server selects a parking space suitable for the user. If the emotion is "tension," the server searches for a parking lot that is easier to access and outputs its location information. At this time, the server also takes into account the parking lot's occupancy rate and current traffic conditions. 【0599】 Step 3: 【0600】 The terminal uses parking location information received from the server and information to dynamically adjust the user interface, which is then displayed on the in-car display. The screen layout and guidance text are adjusted according to the user's emotional state, outputting an optimized interface that is easy for the user to understand. 【0601】 Step 4: 【0602】 The user follows the instructions from the terminal and moves the vehicle to the designated parking space. The terminal issues instructions via the Autonomous Car API and utilizes autonomous driving functions as needed to safely reach the parking space. During this process, voice guidance is also provided in a gentle, emotionally responsive tone. 【0603】 Step 5: 【0604】 After parking is complete, the server records the parking status and collects user experience feedback. The collected data is analyzed to improve the service in the future and used as foundational data for introducing new improvement measures. 【0605】 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. 【0606】 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. 【0607】 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. 【0608】 [Fourth Embodiment] 【0609】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0610】 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. 【0611】 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). 【0612】 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. 【0613】 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. 【0614】 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). 【0615】 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. 【0616】 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. 【0617】 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. 【0618】 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. 【0619】 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. 【0620】 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. 【0621】 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". 【0622】 The parking management system according to the present invention utilizes AI and IoT technologies to achieve efficient use of parking spaces in urban areas. The following describes specific embodiments of the system. 【0623】 Data collection and analysis 【0624】 The server collects real-time data from sensors, cameras, and IoT devices installed in each parking lot to obtain information on parking space availability and fees. This data changes in the form of a CE diamond, forming the basis for identifying the optimal parking space. 【0625】 Information distribution to users 【0626】 The terminal receives parking space information provided by the server based on the destination information specified by the user. This allows the user to check and select the best parking option from their current location to the vicinity of their destination in real time. 【0627】 Parking space reservation and fee adjustment 【0628】 Users can reserve a selected parking space in advance using the terminal's interface. The server then uses dynamic pricing to display rates based on parking demand. 【0629】 Route guidance function 【0630】 The terminal guides the user to the optimal route to the selected parking space. This is done using GPS systems and current traffic information, providing an energy-efficient route. This reduces idling time during travel, minimizing fuel consumption and environmental impact. 【0631】 Security management function 【0632】 The server identifies vehicles in the parking lot and monitors them to ensure safety. This allows vehicles to be parked safely even in unmanned parking lots. If an anomaly is detected, an alert is issued, enabling a quick response. 【0633】 Specific example 【0634】 For example, imagine a user heading to the city center and searching for parking via a smartphone app. The app displays available parking spaces near the destination, and the user reserves a preferred spot. The server displays a dynamic price, and the user confirms the reservation. The app then guides the user to the shortest and most environmentally friendly route from their home to the parking lot. 【0635】 This invention reduces wasted time searching for parking spaces, making urban parking more efficient and economical. 【0636】 The following describes the processing flow. 【0637】 Step 1: 【0638】 The server continuously collects real-time data from sensors and cameras placed in parking lots and on-street parking spaces. This data includes availability, location information, and pricing information. 【0639】 Step 2: 【0640】 The server processes the collected data and performs analysis using artificial intelligence algorithms. This allows for optimized parking lot placement and an understanding of current availability. 【0641】 Step 3: 【0642】 The user launches the app on their smartphone or in-car device and enters the destination address or location information. This initiates the search for parking spaces. 【0643】 Step 4: 【0644】 The terminal sends destination information received from the user to the server and requests information about nearby parking spaces. 【0645】 Step 5: 【0646】 The server identifies the most suitable parking space based on the user's current location and entered destination, and sends information such as availability, cost, and distance back to the terminal. 【0647】 Step 6: 【0648】 The terminal displays a list of received parking space information to the user, offering them options. The user can select their desired parking space and make a reservation in advance. 【0649】 Step 7: 【0650】 The server reserves the parking space selected by the user and sets the price by applying dynamic pricing as needed. 【0651】 Step 8: 【0652】 The terminal guides the user to the optimal route to the selected parking space. This includes efficient routes that take real-time traffic conditions into account. 【0653】 Step 9: 【0654】 When the user arrives at the parking lot, the terminal confirms the vehicle's parking location and guides them to complete the parking process. 【0655】 Step 10: 【0656】 The server uses vehicle identification technology to monitor vehicles in the parking lot and ensure safety. It also sends notifications in case of anomalies, enabling a quick response. 【0657】 (Example 1) 【0658】 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". 【0659】 Conventional parking management systems have made it difficult to efficiently utilize parking spaces in urban areas. Furthermore, they often lack real-time information on parking locations, requiring users to spend considerable time and effort searching for a parking spot. Additionally, the lack of appropriate pricing based on demand fluctuations can lead to a sense of unfairness regarding parking fees. Moreover, inadequate security within parking lots often means that vehicle safety cannot be guaranteed. 【0660】 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. 【0661】 In this invention, the server includes means for receiving data from the information management unit and analyzing the usage status of the parking area, means for identifying the optimal parking area based on destination information from the user device, and means for dynamically adjusting parking fees according to supply and demand. This enables efficient use of parking spaces, real-time provision of optimal parking information to users, fair pricing according to demand, and ensuring a safe parking environment. 【0662】 The "Information Management Department" is the department responsible for receiving data from sensors and devices placed in each parking area, and for managing and processing that data as information. 【0663】 "User equipment" refers to terminal devices used by users to check and manage parking information, and typically includes mobile devices or dedicated applications. 【0664】 An "artificial intelligence algorithm" is a computational method that uses machine learning models and other tools to analyze parking conditions and usage patterns, and then proposes the optimal parking location and fees. 【0665】 "Dynamic adjustment" refers to analyzing the ever-changing supply and demand situation for parking spaces and making timely changes to parking fees and space management based on the results. 【0666】 "Real-time delivery" means providing users with current information immediately with minimal delay, and aims to always reflect the latest data. 【0667】 "Safety monitoring function" refers to monitoring activities conducted using sensor devices and cameras to detect suspicious movements or incidents within the parking lot and enable a swift response. 【0668】 This invention is implemented primarily as a system including an information management unit, user devices, and artificial intelligence algorithms. The server collects real-time data using sensors, cameras, and IoT devices installed in the parking area. This data includes parking space availability and fee information, and is organized by the information management unit. 【0669】 The server uses artificial intelligence algorithms to analyze data and execute demand forecasts and dynamic pricing models to determine the optimal parking space. This analysis is based on historical usage data and utilizes machine learning techniques. 【0670】 Users can input destination information into their terminal via a user device, receiving real-time information on the most suitable parking spaces provided by the server. They can also use a mobile application to check parking space availability and fees via an API, and make reservations. 【0671】 Furthermore, the device works in conjunction with a GPS system to provide users with the optimal route to their chosen parking space. This is expected to reduce fuel consumption and environmental impact. 【0672】 As a concrete example, when a user is heading to a city, they use a smartphone app to search for parking, and the app displays available parking spaces near their destination, allowing them to reserve their preferred spot. The server then displays an appropriate fee based on demand, and the user confirms the reservation. Finally, the application provides the optimal route to guide the user to their chosen parking space. 【0673】 An example of a prompt statement is, "I want to know the best parking space and price when looking for parking in the city center." By using this prompt statement, the AI ​​model extracts the most suitable parking information and reflects it in the system, providing the user with the optimal solution. 【0674】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0675】 Step 1: 【0676】 The server collects data in real time from sensors and cameras installed in each parking space. Inputs include vehicle detection data from sensors and image data from cameras. The server processes this data in the information management unit and outputs it as information on parking space availability and current fees. 【0677】 Step 2: 【0678】 The server uses an artificial intelligence algorithm to analyze the collected data. The input is parking information obtained in step 1, and past parking patterns and usage rate data are also used. The AI ​​model analyzes this data to determine the optimal parking space and outputs a list of optimized parking spaces. 【0679】 Step 3: 【0680】 The user device, or terminal, receives destination information specified by the user as input. It retrieves optimal parking space information near the destination from the server via an API and outputs it to the user in a format that displays it. This display includes real-time availability and pricing information. 【0681】 Step 4: 【0682】 The user selects their desired parking space from a list of parking spaces displayed on the terminal and enters their reservation information. The terminal then sends the reservation request to the server based on this input. The server records the reservation information in its database and sends a reservation completion notification to the user. 【0683】 Step 5: 【0684】 The server uses parking demand forecasting and a dynamic pricing model to dynamically calculate the fee for selected parking spaces. Reservation information and demand status are used as input, and the optimal price is output. This ensures that the fee information received by the user is updated in real time. 【0685】 Step 6: 【0686】 The terminal works in conjunction with a GPS system to calculate the shortest and most efficient route to the selected parking space. Current location, destination, and traffic information are used as input, and the optimal driving route is output. The user receives visual guidance through a map application on the terminal. 【0687】 Step 7: 【0688】 The server continuously monitors the security of the parking lot and verifies vehicle safety based on collected video and sensor information. Sensor data and camera footage are used as input data to identify vehicles, and anomalies are detected based on this data. This information is notified to the administrator as needed, and alerts are issued to enable quick action in the event of an incident. 【0689】 (Application Example 1) 【0690】 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". 【0691】 In urban areas, the shortage of parking spaces and the difficulty of efficient use of them lead to wasted time searching for parking, traffic congestion, and environmental burdens. To solve this problem, there is a need for a system that provides real-time information on parking availability and promotes efficient reservations and use. Furthermore, factors such as dynamic adjustment of parking fees, ensuring safety, and improving energy efficiency must also be considered. 【0692】 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. 【0693】 In this invention, the server includes means for receiving data from an information collection device and analyzing the usage status of parking spaces, means for identifying the optimal parking space based on destination information from a user terminal, and means for dynamically adjusting parking fees according to supply and demand. This enables efficient and economical use of parking spaces. 【0694】 An "information gathering device" is a device that acquires data such as the usage and occupancy status of parking spaces in real time. 【0695】 A "user terminal" is a device that allows users to obtain parking information and check reservations and optimal routes. 【0696】 "Dynamic adjustment" is a process that changes parking fees and parking space availability in real time according to supply and demand conditions. 【0697】 "Mobile vehicle identification" is a technology for accurately identifying and managing vehicles within a parking lot. 【0698】 The "safety monitoring function" is a system for detecting and notifying of anomalies, designed to ensure safety within the parking lot. 【0699】 "Real-time information provision" is a function that instantly reflects the current availability of parking spaces and presents users with the latest information. 【0700】 "Reservation information management" refers to a system for recording and managing parking space reservations made by users. 【0701】 Route calculation that considers "energy efficiency" is the process of calculating the optimal route to minimize fuel consumption during travel. 【0702】 The "notification function" is a system that quickly informs the user when an abnormality occurs, in order to enhance the safety of parked vehicles. 【0703】 This invention aims to build a system that utilizes AI and IoT technologies to achieve efficient use of parking spaces in urban areas. The embodiments of this system are described in detail below. 【0704】 The server analyzes real-time data acquired from information collection devices placed in each parking lot to monitor the usage status of the parking spaces. This allows it to understand the availability and fees of parking spaces and dynamically adjust fees according to supply and demand. 【0705】 The terminal receives information on the optimal parking area from the server based on the destination information specified by the user. This information is also used to present the user with the best possible travel route using navigation technology. During travel, the system is designed to calculate and present a route that takes energy efficiency into consideration. 【0706】 Furthermore, users can reserve parking spaces in advance via a terminal. The server manages this reservation information and provides dynamic pricing based on supply and demand, as well as a variable-rate reservation function. The system ensures vehicle safety within the parking lot through mobile identification and safety monitoring functions. If an anomaly is detected, a notification can be immediately sent to the user. 【0707】 As a concrete example, when a user goes shopping on the weekend, they can use a smartphone app to search for and reserve parking in advance. The app displays available parking spaces near their current location, allows them to select a specific location, and check the exact price. Furthermore, the app provides information on the shortest route, helping them reach their destination while avoiding traffic congestion. 【0708】 An example of a prompt for a generative AI model might be, "What is the optimal way to efficiently display available parking spaces in real time in a parking management app?" 【0709】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0710】 Step 1: 【0711】 The server acquires real-time occupancy data from information collection devices installed in each parking lot. Based on the acquired data, it stores the availability of parking spaces in a database. This allows for an up-to-date understanding of the overall usage status of the parking lot. The input is occupancy status data sent from each device, and the output is updated parking space availability information. 【0712】 Step 2: 【0713】 The user uses a terminal to specify their desired destination and sends a request to the server. The terminal takes the user's location information and desired destination as input, and this data serves as the basis for receiving parking availability information. The output is a list of the best parking options presented to the user. 【0714】 Step 3: 【0715】 The server identifies the optimal parking space based on the received user location and destination information. Considering availability and current demand, it selects the most convenient parking space for the user. This process uses an AI algorithm to find the optimal solution considering the shortest distance and cost-effectiveness. The input is the user's location and parking availability information, and the output is a suggestion for the optimal parking space. 【0716】 Step 4: 【0717】 The terminal displays information on the best parking spaces provided by the server to the user. The user selects their preferred space from the presented parking options and proceeds with the reservation process. This process is performed through the user interface, and the specific location of the parking space and fee information are output. 【0718】 Step 5: 【0719】 The server confirms the reservation of the parking space selected by the user and stores the reservation information in the database. At the same time, it readjusts the parking fee according to actual usage via a dynamic pricing system. In this step, reservation information and real-time supply and demand data are used as input, and the output is the confirmed reservation information and final fee. 【0720】 Step 6: 【0721】 The terminal generates the optimal route to the designated parking space based on the GPS system and guides the user. This guidance includes real-time route changes based on traffic conditions. The input is the destination and real-time traffic data, and the output is an optimized driving route to assist the user's movement. 【0722】 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. 【0723】 This invention combines an emotion engine with a parking management system to provide a parking service that takes user emotions into consideration. This invention allows for adjustments to parking space selection and route guidance based on the user's psychological state, resulting in a stress-free and comfortable parking experience. 【0724】 Introducing an emotional engine 【0725】 The server is equipped with an emotion engine that analyzes the user's emotional state based on information transmitted from the user's terminal, including camera and voice input. This allows for real-time monitoring of the user's psychological state while driving or searching for parking. 【0726】 Optimizing parking lot selection and route guidance 【0727】 The terminal takes into account the user's emotional information, recognized by the emotion engine, and customizes the parking space options provided by the server. For example, if it is determined that the user is in a hurry, it can prioritize suggesting more available parking spaces. 【0728】 Adjusting the user interface 【0729】 The device provides a display interface that responds to the user's emotions. Therefore, when the user is not in a normal emotional state, the interface is simplified and made easier to operate. This allows the user to operate the device calmly. 【0730】 Specific example 【0731】 For example, if a user exhibits extreme tension while driving, the emotion engine analyzes this emotion, and the device suggests the most easily accessible parking spot. The server then adjusts the displayed route guidance to ensure it is the shortest and simplest path. 【0732】 This invention makes it possible for parking management systems to take into account not only technical efficiency but also the psychological comfort of users, and is expected to improve the parking experience for society as a whole. 【0733】 The following describes the processing flow. 【0734】 Step 1: 【0735】 The user initiates a parking space search through a smartphone app or the in-car system interface. During this process, the user's eye movements, facial expressions, and voice tone are collected by cameras and microphones. 【0736】 Step 2: 【0737】 The device activates its built-in emotion engine to analyze the collected user emotion data. This engine uses machine learning models to evaluate the user's emotional state in real time. 【0738】 Step 3: 【0739】 The server calculates the optimal parking space based on the user's current location and destination information, along with their sentiment information. Sentiment information is used to prioritize parking space selection. 【0740】 Step 4: 【0741】 The terminal provides the user with a list of parking space options received from the server. The interface automatically adjusts to a user-friendly design based on the user's emotional state. 【0742】 Step 5: 【0743】 For the parking space selected by the user, the server checks the current availability, calculates the optimal price, and confirms the reservation. Dynamic pricing is applied to this reservation. 【0744】 Step 6: 【0745】 The device calculates the optimal route for the user and uses an emotion engine to guide the user in a way that reduces stress. In this process, the route with the least traffic is selected whenever possible. 【0746】 Step 7: 【0747】 The server identifies vehicles upon arrival at the parking lot to ensure safety. Depending on the user's status, this information is provided through an appropriate notification method. 【0748】 Through the process described above, a parking management system utilizing an emotion engine significantly improves the parking experience by taking into account the user's psychological comfort. 【0749】 (Example 2) 【0750】 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". 【0751】 Traditional parking management systems prioritized technical efficiency while failing to consider the psychological comfort of the user, resulting in a stressful parking experience. There was a need for a system that could provide parking space selection and route guidance tailored to the driver's psychological state. 【0752】 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. 【0753】 In this invention, the server includes means for receiving data from an information gathering unit and analyzing the usage status of parking spaces, means for having an emotion analysis function for analyzing the user's psychological state, and means for adjusting the selection of parking spaces based on the emotion analysis results. This makes it possible to provide a stress-free parking experience that is tailored to the user's psychological state. 【0754】 The "Information Gathering Department" is a department that has the function of acquiring data for analyzing the usage status of parking spaces and the emotional state of users. 【0755】 The "emotion analysis function" is a technology that infers the user's psychological state based on their facial expressions and voice data, and reflects this in the selection and guidance of parking spaces. 【0756】 The "means for adjusting parking space options" are methods for suggesting the optimal parking location based on the user's psychological state, as obtained through an emotion analysis function. 【0757】 "User interface adjustment means" refers to methods that optimize the interface according to the user's emotional state, making it easy for the user to operate. 【0758】 This invention introduces an emotion engine into a parking management system to provide services that take into account the user's emotional state, thereby realizing a stress-free parking experience. 【0759】 The server, as the core of the parking management system, receives data from the information gathering unit and analyzes the usage status of parking spaces. To achieve this, the server utilizes a large-scale database and hardware with real-time processing capabilities. The emotion engine performs image recognition and natural language processing to analyze camera input, voice input, and other data. Based on this analysis, it estimates the user's psychological state in real time. 【0760】 The terminal displays the most suitable parking space options to the user based on sentiment analysis results provided by the server. Route guidance and the user interface are automatically adjusted according to the user's emotional state. For example, if the analysis indicates that the user is in a hurry, the system will prioritize guiding the user to a more available parking space. The user interface is also simplified to reduce tension and is designed to be more intuitive to use. 【0761】 For example, if a user exhibits extreme tension while driving, the emotion engine recognizes this tension in real time, and the device suggests the nearest safe parking space. The server calculates the shortest route considering traffic conditions and sends it to the device. Furthermore, the interface is adjusted according to the emotional state, allowing the user to reach their destination simply by following simple instructions. 【0762】 Examples of input prompts for a generative AI model: 【0763】 "I'm currently driving. I'm feeling a bit nervous, but I'm looking for a nearby, easily accessible parking space. How can you guide me?" 【0764】 This invention allows parking management systems to improve the overall parking experience by prioritizing not only conventional technical efficiency but also user psychological comfort. 【0765】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0766】 Step 1: 【0767】 The user inputs information into the terminal via camera and microphone at the start of operation. The terminal captures and records emotional information such as the user's facial expressions and voice in real time. This collects data necessary for emotion analysis. 【0768】 Step 2: 【0769】 The device transmits the collected user video and audio data to the server. The server receives this data and performs analysis using an emotion analysis engine. Here, image recognition and audio analysis technologies are used to infer the user's psychological state. As an output of this analysis, the user's emotional state is tagged (e.g., relaxed, anxious, tense). 【0770】 Step 3: 【0771】 The server processes the data to select the optimal parking space based on the analyzed emotional state information. The user's emotional state, along with current parking situation data, is used as input. The server integrates this data to generate the best options. The output includes recommended parking spaces and their ratings. 【0772】 Step 4: 【0773】 The terminal receives recommended parking space and route information from the server. The user interface is temporarily adjusted according to the user's emotional state. For example, a simple and relaxing design is applied to a stressed user. This means the user is guided to a suitable parking space without feeling any inconvenience. 【0774】 Step 5: 【0775】 The user follows the instructions on the terminal to reach the parking lot. The terminal displays the optimal route, incorporating real-time traffic information. If the terminal detects that the user is emotionally unstable, additional voice guidance is provided. Ultimately, the user can arrive at the designated parking space without stress. 【0776】 (Application Example 2) 【0777】 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". 【0778】 Conventional parking management systems provide parking spaces without considering the user's emotional state, thus failing to improve service from the perspective of reducing the user's psychological burden. As a result, users may experience stress when selecting a parking space or driving. In particular, the lack of a quick and easy way to park when busy or stressed is a problem. 【0779】 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. 【0780】 In this invention, the server includes an emotion analysis function for analyzing the user's emotional state, means for optimizing the selection of parking spaces based on the user's psychological state, means for dynamically adjusting the user interface according to the emotion, and means for providing a route suggestion function that provides the user with emotionally appropriate parking guidance within the autonomous vehicle. This enables the presentation of parking spaces suitable for the user's psychological state and an improvement in the convergence of the user experience. 【0781】 The "Information Gathering Unit" is a device that monitors the usage status of parking spaces and receives related data. 【0782】 A "user terminal" is a communication device operated by the user, used for selecting parking spaces and receiving route guidance. 【0783】 "Emotion analysis function" refers to a function that uses cameras, sensors, etc., to recognize and analyze the user's emotional state. 【0784】 "Means of optimization based on psychological state" refers to methods for adjusting parking space selection and guidance by taking into account the user's emotional state. 【0785】 "Means of dynamically adjusting the user interface" refers to methods of changing the displayed content and operation methods according to the user's emotional state, thereby modifying the interface to make it easier for the user to use. 【0786】 The "route suggestion function" is a guidance function that provides users with the optimal and safest parking route. 【0787】 An "autonomous vehicle" is a vehicle that has the ability to drive itself, without relying on human operation. 【0788】 To realize this invention, an emotion recognition system is installed in an autonomous vehicle, and various means are combined to provide a parking experience based on the user's psychological state. The server uses the vehicle's cameras and the Emotion Recognition SDK to analyze the user's emotions in real time. The analyzed emotion data is transmitted to the user's smartphone or the vehicle's infotainment system. 【0789】 This allows the server to provide parking space options based on emotional information. For example, if the server detects that the user is stressed, it will present the most accessible parking space for the user. The user interface is also dynamically adjusted according to the emotional state, for example, by providing features that simplify the operation menu so that the user can operate it calmly. Autonomous vehicles use the Autonomous Car API to provide optimal parking guidance and reduce stress while driving. 【0790】 As a concrete example, consider a scenario where a customer has arrived at their destination after a long drive. If the camera captures the user's tired expression and the Emotion Recognition SDK determines that the user is fatigued, the server will suggest a nearby, easily accessible parking lot. The display will be simplified, and the voice guidance will be in a relaxed tone. An example of a prompt for the generative AI model would be, "Based on the camera input image, identify the driver's current emotion." 【0791】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0792】 Step 1: 【0793】 The server receives video data transmitted from cameras mounted on the vehicle. This input data is passed to the Emotion Recognition SDK, which analyzes the user's emotions from their facial expressions. As a result of the analysis, it identifies the emotional state and outputs labels such as "tension" and "fatigue." 【0794】 Step 2: 【0795】 Based on the emotion analysis results, the server selects a parking space suitable for the user. If the emotion is "tension," the server searches for a parking lot that is easier to access and outputs its location information. At this time, the server also takes into account the parking lot's occupancy rate and current traffic conditions. 【0796】 Step 3: 【0797】 The terminal uses parking location information received from the server and information to dynamically adjust the user interface, which is then displayed on the in-car display. The screen layout and guidance text are adjusted according to the user's emotional state, outputting an optimized interface that is easy for the user to understand. 【0798】 Step 4: 【0799】 The user follows the instructions from the terminal and moves the vehicle to the designated parking space. The terminal issues instructions via the Autonomous Car API and utilizes autonomous driving functions as needed to safely reach the parking space. During this process, voice guidance is also provided in a gentle, emotionally responsive tone. 【0800】 Step 5: 【0801】 After parking is complete, the server records the parking status and collects user experience feedback. The collected data is analyzed to improve the service in the future and used as foundational data for introducing new improvement measures. 【0802】 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. 【0803】 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. 【0804】 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. 【0805】 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. 【0806】 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. 【0807】 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. 【0808】 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. 【0809】 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. 【0810】 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." 【0811】 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. 【0812】 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. 【0813】 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. 【0814】 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. 【0815】 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. 【0816】 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. 【0817】 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. 【0818】 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. 【0819】 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. 【0820】 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. 【0821】 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. 【0822】 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. 【0823】 The following is further disclosed regarding the embodiments described above. 【0824】 (Claim 1) 【0825】 A means of receiving data from the information gathering department and analyzing the usage status of parking spaces, 【0826】 A means for identifying the optimal parking space based on destination information from the user terminal, 【0827】 A means of dynamically adjusting parking fees according to supply and demand, 【0828】 A means for presenting the optimal driving route to the user based on the provided route guidance information, 【0829】 A system including means having vehicle identification and security monitoring functions. 【0830】 (Claim 2) 【0831】 The system according to claim 1, which has a function for pre-booking parking spaces and includes means for managing reservation information. 【0832】 (Claim 3) 【0833】 The system according to claim 1, comprising means for having a function to reduce idling time in order to reduce energy consumption. 【0834】 "Example 1" 【0835】 (Claim 1) 【0836】 A means of receiving data from the Information Management Department and analyzing the usage status of the parking area, 【0837】 A means for identifying the optimal parking area based on destination information from a user device, 【0838】 A means of dynamically adjusting parking fees according to supply and demand, 【0839】 A means for presenting the optimal driving route to the user based on the provided route guidance information, 【0840】 A means having vehicle identification and safety monitoring functions, 【0841】 A method for optimizing parking spaces using artificial intelligence algorithms, 【0842】 A means of displaying parking space information in real time via a mobile device, 【0843】 A system that includes this. 【0844】 (Claim 2) 【0845】 The system according to claim 1, which has a function for pre-reserving parking spaces and includes means for managing reservation information. 【0846】 (Claim 3) 【0847】 The system according to claim 1, comprising means for having a function to reduce idling time in order to reduce energy consumption. 【0848】 "Application Example 1" 【0849】 (Claim 1) 【0850】 A means of receiving data from an information gathering device and analyzing the usage status of a parking area, 【0851】 A means for identifying the optimal parking area based on destination information from the user's terminal, 【0852】 A means of dynamically adjusting parking fees according to supply and demand, 【0853】 A means of presenting the optimal travel route to the user based on the provided driving guidance information, 【0854】 Means having mobile object identification and safety monitoring functions, 【0855】 A means of providing real-time parking space occupancy information, 【0856】 It has a parking space reservation function and means for managing reservation information, 【0857】 A means of calculating and presenting routes that take energy efficiency into consideration, 【0858】 A means having a notification function to ensure safety, 【0859】 A system that includes this. 【0860】 (Claim 2) 【0861】 The system according to claim 1, comprising means for presenting the optimal parking space in real time based on parking information. 【0862】 (Claim 3) 【0863】 The system according to claim 1, comprising means for enhancing the reservation function based on dynamic pricing. 【0864】 "Example 2 of combining an emotion engine" 【0865】 (Claim 1) 【0866】 A means of receiving data from the information gathering department and analyzing the usage status of parking spaces, 【0867】 A means for identifying the optimal parking space based on destination information from the user terminal, 【0868】 A means of dynamically adjusting parking fees according to supply and demand, 【0869】 A means for presenting the optimal driving route to the user based on the provided route guidance information, 【0870】 Means having vehicle identification and security monitoring functions, 【0871】 A means equipped with an emotion analysis function for analyzing the user's psychological state, 【0872】 A means for adjusting parking space options based on emotion analysis results, 【0873】 Means for adjusting the user interface based on emotional state, 【0874】 A system that includes this. 【0875】 (Claim 2) 【0876】 The system according to claim 1, which has a function for pre-booking parking spaces, means for managing reservation information, and a function for adjusting reservation priority based on sentiment analysis. 【0877】 (Claim 3) 【0878】 The system according to claim 1, which has a function to reduce idling time in order to reduce energy consumption, and a function to optimize energy efficiency according to emotional state. 【0879】 "Application example 2 when combining with an emotional engine" 【0880】 (Claim 1) 【0881】 A means of receiving data from the information gathering department and analyzing the usage status of parking spaces, 【0882】 A means for identifying the optimal parking space based on destination information from the user terminal, 【0883】 A means of dynamically adjusting parking fees according to supply and demand, 【0884】 A means for presenting the optimal driving route to the user based on the provided route guidance information, 【0885】 Means having vehicle identification and security monitoring functions, 【0886】 It has an emotion analysis function that analyzes the user's emotional state, and a means to optimize the selection of parking spaces based on that psychological state. 【0887】 A means of dynamically adjusting the user interface in response to emotions, 【0888】 A means of providing a route guidance function that offers emotion-responsive parking instructions to the user within an autonomous vehicle, 【0889】 A system that includes this. 【0890】 (Claim 2) 【0891】 The system according to claim 1, which has a function for pre-booking parking spaces and includes means for managing reservation information. 【0892】 (Claim 3) 【0893】 The system according to claim 1, comprising means for having a function to reduce idling time in order to reduce energy consumption. [Explanation of Symbols] 【0894】 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 means of receiving data from the information gathering department and analyzing the usage status of parking spaces, A means for identifying the optimal parking space based on destination information from the user terminal, A means of dynamically adjusting parking fees according to supply and demand, A means for presenting the optimal driving route to the user based on the provided route guidance information, A system including means having vehicle identification and security monitoring functions. [Claim 2] The system according to claim 1, which has a function for pre-booking parking spaces and includes means for managing reservation information. [Claim 3] The system according to claim 1, comprising means for having a function to reduce idling time in order to reduce energy consumption.

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