system

Abstract

Provide a system. 【Solution means】 Means for collecting information in real time from detection devices in the parking area and analyzing the vacancy situation, Means for receiving the user's request by inputting the current position and destination of the moving unit, Means for utilizing information processing technology to present the optimal parking position to the user based on the analyzed information, Means for calculating and presenting variable price settings, Means for enabling the user to make a reservation, Means for implementing the reservation-based securing of the parking area, Means for recognizing the arrived moving unit and comparing it with the approved moving unit, Means for guiding the optimal route, Means for guiding the optimal route for the moving unit considering environmental impacts, Display means for visualizing adjacent parking areas, Means for completing reservations and payments online, A system including means for managing the user network using an information sharing infrastructure.

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, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] There is a need to reduce the shortage of parking spaces, traffic congestion, and the waste of time and fuel caused by high parking fees in urban areas, as well as the stress of users. In particular, it is necessary to provide a smooth parking experience during peak hours or in popular areas. In response to these problems, it is urgent to develop a system for efficient and dynamic parking management.

Means for Solving the Problems

[0005] This invention is a system that utilizes sensor devices within a parking space to grasp real-time availability, receives the user's current location and destination information, and suggests the optimal parking location. Specifically, it uses an artificial intelligence algorithm to dynamically set prices according to the user's parking preferences and enables parking reservations. Based on these reservations, it secures parking spaces, recognizes the arriving vehicle information, and provides parking spaces to legitimate users. Furthermore, it provides optimal route guidance in an eco-mode that considers environmental impact and implements security monitoring to ensure the safety of the parking space. This enables an efficient and safe parking experience in urban areas.

[0006] A "parking space" is an area designated for the temporary parking of a vehicle.

[0007] A "sensor device" is an electronic device used to detect conditions within a parking space and collect data.

[0008] "Real-time" is a temporal concept that indicates data is collected and processed immediately.

[0009] "Mobile" is a general term referring to vehicles and other means of transportation that travel on the ground.

[0010] "User" refers to an individual or group that wishes to use this system for parking.

[0011] "Analysis" is the act of analyzing collected data to extract meaningful information.

[0012] An "artificial intelligence algorithm" is a set of calculation procedures used to make optimal decisions based on parking data.

[0013] "Dynamic pricing" is a pricing model that adjusts prices according to demand.

[0014] A "reservation" is a pre-arranged procedure to secure a parking space for a specific date and time.

[0015] "Recognition" is the process of identifying a vehicle by a camera or other device.

[0016] "Eco mode" is a driving mode optimized to reduce environmental impact.

[0017] "Security monitoring" is the monitoring and crime prevention activities to ensure safety within the parking space.

Brief Description of the Drawings

[0018] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It 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] It 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 Embodiment 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine.

Mode for Carrying Out the Invention

[0019] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0020] First, the terms used in the following description will be explained.

[0021] In the following embodiments, a labeled 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), etc.

[0022] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0023] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0024] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0025] 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."

[0026] [First Embodiment]

[0027] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0028] 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.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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".

[0039] This invention is a system for streamlining urban parking space management. The system consists of sensor devices, a server, and a user terminal, and is designed to significantly improve the user's parking experience.

[0040] First, sensor devices are installed in each parking space to detect availability in real time and send the data to a server. The server receives this information and updates the database of available spaces for the entire parking lot. This ensures that the latest parking information is always maintained.

[0041] Next, the user enters their desired parking location and conditions via the terminal, and the terminal sends this information to the server. The server uses an algorithm to suggest the best parking location to the user based on current availability and past data. At this time, the server performs dynamic pricing, calculating and displaying the optimal fee based on the time of day and congestion.

[0042] Once the user reviews the information provided and reserves a parking space, the terminal sends that information to the server to confirm the reservation. As a result, when the user arrives at the parking lot, the parking space is already secured.

[0043] Upon arrival, the server recognizes the vehicle via parking lot cameras and compares it to registered vehicles. Once recognition is confirmed, actions such as opening the gate are performed, enabling safe parking. Furthermore, the terminal guides the user to the optimal route in eco mode, reducing unnecessary idling time and thus mitigating the environmental impact.

[0044] As a concrete example, when a user goes to a commercial facility in the city, they can use this system to secure a parking space in advance and use the parking lot smoothly upon arrival. Furthermore, the dynamically calculated fee system allows users to make choices according to their budget. In this way, users benefit in terms of both time and cost.

[0045] The following describes the processing flow.

[0046] Step 1:

[0047] The server receives data in real time from sensor devices installed in each parking space, analyzes the availability of parking spaces, and updates the database. This ensures that the latest parking space information is always available.

[0048] Step 2:

[0049] The user uses a terminal to enter their desired parking location and parking conditions (e.g., price, location, safety, etc.) and sends the request to the server. The terminal provides GPS data and the user's desired conditions along with this information.

[0050] Step 3:

[0051] The server queries the database based on the user's request and runs an AI algorithm to match availability and parking conditions. This identifies a parking location and fee optimized for the user's needs.

[0052] Step 4:

[0053] The server dynamically calculates and displays parking fees to the user based on the results of an AI algorithm. The displayed information includes details such as parking time, fees, and location.

[0054] Step 5:

[0055] The user reviews the suggested parking locations and fees on the terminal and reserves a parking space if necessary. The terminal then sends the reservation information back to the server, completing the process of securing the parking space.

[0056] Step 6:

[0057] The device provides users with the optimal route from their starting point to their parking location using eco mode. This route guidance takes into account traffic information and the shortest travel time.

[0058] Step 7:

[0059] When a user arrives, the server recognizes the vehicle by scanning the camera at the parking lot entrance and verifies that it matches the pre-registered vehicle information. Once verification is complete, the parking lot gate opens, allowing for safe parking.

[0060] Step 8:

[0061] The server continuously monitors parked vehicles using security cameras to ensure safety. If necessary, it uses anomaly detection to immediately warn users.

[0062] (Example 1)

[0063] 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."

[0064] Parking problems in urban areas stem from a limited supply of parking spaces and the difficulty users face in choosing appropriate parking. In particular, challenges exist in areas such as obtaining real-time information on parking space availability, adjusting fees based on congestion levels, and reducing environmental impact. These issues necessitate efficient and reliable parking management solutions.

[0065] 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.

[0066] In this invention, the server includes means for aggregating information from data acquisition devices in real time and analyzing availability, means for proposing the optimal parking location to the user using a computational model, and means for automatically controlling entrances and exits through identification. As a result, users can instantly obtain information on available parking spaces and park efficiently while considering environmental impact and enjoying the optimal parking fee as needed.

[0067] A "data acquisition device" is a device installed in a parking area that monitors parking conditions in real time and transmits the collected information to a server.

[0068] A "mobile device" is a portable information processing device carried by the user, used for selecting parking locations and sending / receiving reservation information.

[0069] A "computational model" is a system that incorporates algorithms for allocating parking spaces and setting dynamic prices, and is a method used to suggest the most suitable parking location to the user.

[0070] "A means of dynamically setting and presenting prices" refers to a process for automatically changing prices according to the user's parking needs and congestion levels, and providing that information to the user.

[0071] "Energy-saving mode" is a function that provides driving routes and methods aimed at reducing fuel consumption and exhaust emissions during use.

[0072] "Monitoring function" refers to a means of detecting fraudulent activity or danger using surveillance cameras and sensors to ensure safety within the parking area.

[0073] The system for implementing this invention mainly consists of a data acquisition device, a server, and a mobile terminal. First, the data acquisition device is installed in the parking area and monitors the parking status of vehicles in real time. Hardware such as cameras and infrared sensors are used for this purpose. These devices sense the status of the parking area as "empty" or "occupied" and transmit the data to the server.

[0074] The server aggregates and analyzes the received information using a database management system. Based on this information, a computational model operates to suggest the optimal parking location to the user via their mobile device. This model dynamically evaluates available parking locations and presents the best option for each user. Furthermore, the server uses a dynamic pricing algorithm to calculate and display charges based on time and location.

[0075] Users can input their desired parking conditions using their mobile devices and receive suggestions from the server. Once a user selects a parking space and confirms their reservation, the reservation information is managed on the server. Upon arrival, an automated recognition system works in conjunction with the mobile device to control the parking lot entrance and exit, ensuring smooth parking.

[0076] As a concrete example, when a user visits a commercial facility in the city, they can use this system to reserve a parking space in advance and park without congestion upon arrival. Furthermore, it is possible to use a generative AI model to present the optimal route for the user as a prompt message. An example of a prompt message would be, "Please explain how to choose and reserve the best parking space for holiday shopping. Please also explain in detail how to use dynamic pricing and eco mode."

[0077] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0078] Step 1:

[0079] The server receives real-time parking status data from data acquisition devices. The input is parking status information, either "vacant" or "occupied," from sensor devices. Based on this data, the server updates the parking space database and provides information to accurately understand the current availability. Specifically, the server changes the status of parking spaces to "vacant" and also generates statistics on available spaces by area.

[0080] Step 2:

[0081] The terminal receives parking request information from the user. The input includes the desired parking location, time, and any special conditions, entered by the user via their mobile device. The terminal sends this information to the server, where it clarifies the user's request. As part of the data processing, the user's requests are converted into a standardized format, and the data is transferred to the server using a secure communication protocol. For example, the user might input, "I want to park near a building in the city center for two hours starting at 10 AM."

[0082] Step 3:

[0083] The server uses a computational model to suggest the best parking location based on the user's request received from the terminal. The input consists of the user's parking preferences and current parking status data. The server performs data calculations considering past parking history, current availability, and nearby traffic volume to calculate the optimal parking space and its fee. Specifically, the server might derive a result such as "identify available spaces within 200 meters of the building and dynamically present a fee with a 20% increase."

[0084] Step 4:

[0085] The user reviews and selects a parking space from the server via a terminal. The input is optimal parking location information from the server, and the user makes a reservation based on this information. The terminal then sends the reservation information back to the server, where it is recorded in the database. A specific example of this process is the user "reserving a parking space from 3 PM and receiving reservation number XYZ".

[0086] Step 5:

[0087] When a user arrives at the parking lot, the server uses a camera system to recognize the vehicle. The input is a camera image of the parking lot, which is then compared with registered vehicle data. As part of the data processing, image recognition technology is used to analyze the vehicle's number and characteristics, and a mechanism is executed to automatically control the gate. A specific action might be, "Vehicle recognition successful, open gate No. 5."

[0088] (Application Example 1)

[0089] 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."

[0090] Finding a parking space in urban areas is time-consuming and laborious, contributing to traffic congestion and increased environmental burden. Furthermore, the current lack of adequate safety and convenience for parked vehicles highlights the growing need for efficient and environmentally friendly parking management systems. Traditional parking management methods have not adequately addressed these challenges.

[0091] 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.

[0092] In this invention, the server includes means for collecting information in real time from detection devices within the parking area and analyzing availability, means for calculating and presenting variable pricing, and means for calculating and providing the optimal route to reduce environmental impact using eco mode. This enables users to efficiently find available parking spaces, complete reservations and payments online, and receive environmentally conscious route guidance.

[0093] A "parking area detection device" is a device that detects the parking status of a vehicle in real time and transmits the data to a server.

[0094] "A means of collecting information in real time and analyzing availability" refers to a method of processing collected information immediately and analyzing whether or not there are available parking spaces.

[0095] A "mobile unit" is a general term for objects that move within space, such as vehicles and other means of transportation.

[0096] "Means of utilizing information processing technology" refers to techniques that use data analysis and artificial intelligence algorithms to suggest the optimal parking location.

[0097] "Means of calculating and presenting variable pricing" refers to a method of dynamically setting and presenting fees to users based on the supply and demand for parking spaces.

[0098] "Eco mode" refers to operating methods and settings that reduce the environmental impact of the unit of transportation.

[0099] "Means of guiding users to the optimal route" refers to methods of presenting the best route so that users can reach their destination efficiently.

[0100] "Display means" refers to devices or apparatus used to provide visual information.

[0101] "Means for completing reservations and payments online" refers to a system that allows users to reserve parking spaces and pay for their use via the internet.

[0102] "Methods for managing user networks using an information sharing platform" refers to methods of controlling a network using a platform that allows multiple users to share information.

[0103] This invention is a system for streamlining parking management and consists of multiple components. The system mainly includes sensor devices, a server, and a user terminal. Embodiments are described in detail below.

[0104] The server collects data from detection devices installed within the parking area. This data includes real-time parking space usage. The server analyzes the received information to determine availability and applies an AI algorithm to generate the optimal parking location. AWS® and Google® Cloud are used for hardware, and AWS Lambda and Google Cloud Functions can be used for real-time data processing. Big data analytics tools such as AWS QuickSight are used for analysis.

[0105] On the user's terminal, parking reservations and payments can be made through an application. Users can enter their current location and destination into the app, view the best parking spaces suggested by the server, and make a reservation. This significantly reduces the time spent finding available parking. For payment processing, it is conceivable to integrate electronic payment services such as PayPal and Stripe into a system that completes the process online.

[0106] An example of a prompt message might be: "Based on the following conditions, suggest the best parking space and route for the user to reach their destination in the city: Current location: Tokyo Station, Destination: Ginza Shopping Street, Desired arrival time: 2 PM, Parking duration: 3 hours, Budget: Under 1500 yen." By sending this prompt message to the server, the system can present the user with the most suitable parking solution.

[0107] The Eco Mode feature is designed to reduce the environmental impact of travel, guiding users along the optimal route in conjunction with the Google Maps API. This enables users to travel efficiently and in an environmentally conscious manner. For example, a user visiting a shopping mall on the weekend can reserve a parking space in advance through the app, avoiding congestion and arriving via the shortest route. This system is expected to reduce parking-related stress and contribute to smoother urban traffic.

[0108] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0109] Step 1:

[0110] The server collects real-time data from sensor devices installed within the parking area. It receives signal data from each sensor as input, obtaining data indicating whether a space is occupied or vacant. This updates the database with the latest parking space information.

[0111] Step 2:

[0112] The user enters their current location and destination into the application on their device. The entered location data is sent to the server, which then starts searching for parking information and the number of available spaces near the user's desired parking location.

[0113] Step 3:

[0114] The server uses information processing technology to analyze available parking spaces based on the received location data. As a preprocessing step, it references past availability and demand patterns using a big data analysis tool and calculates the optimal parking location using an AI algorithm. This result is then sent back to the user's terminal.

[0115] Step 4:

[0116] The server calculates dynamic pricing for the proposed parking location. It uses demand data, taking into account parking lot congestion and time of day, as input to calculate the fee. Then, it presents the user with available pricing plans on their device.

[0117] Step 5:

[0118] The user selects a suggested parking space and makes a reservation and payment online. The terminal sends the user's selection and payment information to the server as input, confirms the reservation, and sends a signal to reserve the corresponding parking space.

[0119] Step 6:

[0120] When a user heads to the parking lot at their specified arrival time, the device guides them along the optimal route. Route information is retrieved from the Google Maps API as input, providing route guidance in eco mode. This allows users to reach their destination while minimizing their environmental impact.

[0121] Step 7:

[0122] When a user arrives at the parking lot, the server processes visual data from the parking lot's video surveillance system to recognize registered vehicles. It analyzes the acquired video data, compares the vehicle's characteristics with its registration information, and automatically operates the parking gate. This ensures safe and quick parking.

[0123] 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.

[0124] This invention is a system that combines an emotion engine to optimize urban parking management. The system consists of sensor devices in the parking space, a server, a user terminal, and an emotion engine. This improves the quality of the parking experience and provides more personalized services based on the user's emotions.

[0125] First, the sensor device detects the availability of parking spaces in real time and sends this information to a server. The server analyzes this data and updates the parking space availability database. Meanwhile, the user uses a terminal to input their desired parking location and conditions, and also provides emotional information via voice or facial expression data.

[0126] Emotional information received by the device is analyzed by an emotion engine to determine the user's stress level and satisfaction level. Based on this information, the server uses an AI algorithm to suggest the most suitable parking location and fee for the user. This suggestion takes the user's emotional state into consideration and is adjusted according to the situation, prioritizing a more relaxing environment or quick access.

[0127] For example, if a user is experiencing stress, the system prioritizes displaying easily accessible locations with more spacious parking areas. Dynamic pricing further customizes the recommendations, balancing cost and convenience. Once a user selects a parking space and makes a reservation, that information is transmitted to the server via the terminal, securing the parking space.

[0128] Upon arrival, the server recognizes the vehicle via camera and verifies that it matches pre-registered information. In addition to route guidance in eco mode, it monitors user satisfaction while parked and collects feedback to continuously improve the service. This system comprehensively enhances the user experience and provides a better parking environment.

[0129] The following describes the processing flow.

[0130] Step 1:

[0131] The server acquires data in real time from sensor devices installed in each parking space and analyzes the availability of parking spaces. The analyzed information is updated in the server's database to maintain the latest status.

[0132] Step 2:

[0133] The user uses the device to input their destination and parking requirements. In addition, they use voice input via the microphone and transmit facial expression data via the camera. This allows the user's emotional state to be recorded on the device.

[0134] Step 3:

[0135] The device sends the collected user emotion data to the emotion engine. The emotion engine analyzes the data to determine the user's stress level and mood.

[0136] Step 4:

[0137] The server receives user input information and results from the emotion engine, and compares them with availability data. Using an artificial intelligence algorithm, it calculates the optimal parking location and fee based on the user's current emotional state.

[0138] Step 5:

[0139] The server sends information and fees for the most suitable parking location to the terminal. The terminal displays this information on its user interface, allowing the user to select a location.

[0140] Step 6:

[0141] The user checks the parking location and fee displayed via the terminal and makes a reservation. The terminal sends the reservation information to the server and instructs it to secure the parking space.

[0142] Step 7:

[0143] The device provides users with optimal route guidance in eco mode. The route takes traffic information into account to provide the shortest time or the least stressful route.

[0144] Step 8:

[0145] When a user arrives, the server recognizes the vehicle via a camera at the parking lot entrance and compares it with pre-registered vehicle information. Once authentication is complete, the parking lot gate opens.

[0146] Step 9:

[0147] The server uses security cameras in the parking lot to monitor and ensure user safety. If necessary, it utilizes an emotion engine to evaluate user satisfaction during use and collect data for future service improvements.

[0148] (Example 2)

[0149] 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".

[0150] The challenge lies in efficiently managing parking spaces in urban areas, where parking is limited, and improving the user parking experience. Conventional systems lack real-time availability information and adequately suggest parking locations that take user preferences into account, resulting in a lack of convenience. Furthermore, dynamic pricing and service improvements based on user feedback have been difficult.

[0151] 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.

[0152] In this invention, the server includes means for collecting information in real time from detection devices within the parking area and analyzing the availability status, means for receiving location information and request conditions from a user device and acquiring the user's emotional information, and means for performing artificial intelligence processing to propose the optimal parking location to the user based on the analyzed information and the user's emotional information. This enables the provision of a personalized parking experience that responds to the user's emotional state and efficient use of parking space.

[0153] A "parking area" refers to a designated space for temporarily parking a vehicle, and can consist of public or private locations.

[0154] A "detection device" is a device used to understand the situation within a parking area in real time, and may include sensors and cameras.

[0155] "Collecting information" refers to the process of taking in provided data, signals, etc., and converting them into an analyzable format.

[0156] "Analyzing availability" is the process of determining whether or not there are parking spaces available based on collected data.

[0157] "User equipment" refers to devices that are individually owned or used by a user, and are terminals used for communication and information input.

[0158] "Location information" refers to data that indicates a specific location, and usually includes longitude and latitude obtained from GPS or similar sources.

[0159] "Requirements" refer to the conditions and criteria that users desire when selecting a parking space.

[0160] "Emotional information" refers to data that indicates the user's emotional state, and is usually obtained through the analysis of voice and facial expressions.

[0161] "Artificial intelligence processing" refers to information processing performed by computers that mimic human intelligence, and includes technologies that enable them to make suggestions and predictions.

[0162] "Pricing" is the process of determining the monetary compensation for the provision of a service.

[0163] "Feedback" refers to evaluations and opinions from users regarding services and features, and is information that can be used to improve them.

[0164] This invention is a system for optimizing parking management in urban areas while improving the user parking experience. Its main components include a server, terminals, an emotion engine, and detection devices placed in the parking area.

[0165] The server receives real-time information from detection devices such as sensors and cameras installed within the parking area and continuously analyzes the availability status. This ensures that the server maintains an up-to-date database of parking space usage at all times.

[0166] The device receives location information and input conditions from the user, and collects emotional information such as voice and facial expressions. This information received by the device is analyzed by an emotion engine. The emotion engine employs speech recognition and image analysis technologies to evaluate the user's stress level and satisfaction level.

[0167] Based on these analysis results, the server uses artificial intelligence to suggest the optimal parking location and associated fees to the user. The AI ​​algorithm takes into account the collected emotional state of the user and makes suggestions tailored to individual needs, such as prioritizing ease of access and parking space size.

[0168] For example, if a user is behind schedule at work and experiencing high stress levels, the system will immediately suggest a spacious parking space that is easily accessible. It also offers dynamic pricing, providing flexible pricing options tailored to the user's priorities.

[0169] An example of a prompt for a generative AI model is: "Show how to design a system that integrates user sentiment information with real-time parking space availability so that the AI ​​can suggest the optimal parking location."

[0170] In this way, the present invention improves the parking experience while simultaneously increasing the efficiency of parking management in urban areas.

[0171] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0172] Step 1:

[0173] The server receives data in real time from sensors and cameras placed in the parking area. Sensors detect the status of available spaces, and cameras capture images of the surrounding environment. This data is analyzed to determine the availability of parking spaces. Inputs include sensor data and camera images, and the output generates the latest status of the parking space.

[0174] Step 2:

[0175] The user inputs conditions such as desired parking location and time via a terminal. Simultaneously, emotional information is provided to the terminal through voice input and facial expression analysis. Inputs include the user's location information, desired conditions, voice data, and facial expression data, and emotional information is generated and recorded as output.

[0176] Step 3:

[0177] The device transmits emotional information provided by the user to the emotion engine. The emotion engine uses speech recognition and image analysis technologies to evaluate the user's stress level and satisfaction level. Inputs include voice data and facial expression data, and the output generates detailed information about the user's emotional state.

[0178] Step 4:

[0179] The server processes availability data and user sentiment information using an AI algorithm. This processing allows the server to suggest the optimal parking location and fee for the user. The AI ​​takes into account the user's stress level and emotional state, prioritizing accessibility and parking space size in its suggestions. The input consists of availability data and sentiment information, and the output is the generation of optimal parking suggestions.

[0180] Step 5:

[0181] The user reviews the parking space suggestions from the server on the terminal screen and selects their desired parking space. Once the selection is complete, the terminal sends the selected information to the server. The user's selection information is the input, and reservation information is generated and recorded as output.

[0182] Step 6:

[0183] The server recognizes arriving vehicles using parking lot cameras and compares them with pre-registered vehicle information. This prevents fraudulent use. The input consists of camera footage and vehicle information, and the output is an authentication result.

[0184] Step 7:

[0185] After a user completes parking, they can provide feedback on the service through a terminal. The server collects this feedback and uses it to improve the service in the future. The input is user feedback, and the output is recorded as part of the improvement plan.

[0186] (Application Example 2)

[0187] 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 device 14 will be referred to as the "terminal."

[0188] As the demand for parking increases in urban areas, it is becoming difficult for users to efficiently find parking spaces. This is leading to increased stress and frustration, and a decline in satisfaction. In this situation, the current display of parking locations and pricing does not take user feelings into consideration, and there is a need to provide a personalized parking experience. Furthermore, incorporating dynamic pricing and environmental considerations is a challenge.

[0189] 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.

[0190] In this invention, the server includes means for collecting information in real time from detection devices in the parking space and analyzing the availability; means for receiving user requests by inputting the current location and purpose of the moving object; and means for utilizing an intelligent algorithm to present the user with the optimal parking location based on the analyzed information and the user's emotional information. This provides a personalized parking experience that takes the user's emotions into account, enabling efficient and stress-free parking.

[0191] A "detection device" is a device that detects the conditions within a parking space in real time and collects information.

[0192] "User requests" refer to information indicating parking needs based on the current location and destination of the moving object.

[0193] An "intelligent algorithm" is a computational method for calculating a personalized parking location based on analyzed information and user sentiment information.

[0194] "Dynamic pricing" is a function that adjusts parking fees according to usage and other conditions.

[0195] "Emotional information" refers to data that indicates the emotional state of users, such as their stress levels and satisfaction levels.

[0196] A "personalized parking experience" refers to the provision of parking services that are customized based on the individual user's feelings and needs.

[0197] "Sustainable mode" refers to an operating method that calculates the optimal route and reduces the environmental impact.

[0198] "Protective monitoring" refers to monitoring activities aimed at ensuring the safety of parking spaces.

[0199] This specification describes specific embodiments for constructing a parking management system and optimizing the parking experience in urban areas.

[0200] The sensor device functions as a real-time monitoring device installed within the parking space, continuously detecting the availability of parking spaces. This information is transmitted to a server and updated as a status database.

[0201] Users can use their devices to input the current location and destination of their mobile objects, thereby transmitting their requests to the server. In addition, the user's device is equipped with a camera and microphone, which collect emotional information from facial expressions and voice, and transmit this information to the server. This emotional information is analyzed by an intelligent algorithm to determine the user's emotional state, such as stress levels and satisfaction.

[0202] The server uses an intelligent algorithm to calculate the optimal parking location for the user based on received sentiment information and real-time data on parking spaces. Dynamic pricing is also taken into consideration, ensuring that the user is offered the most suitable parking fee.

[0203] Once a user selects and reserves a parking space, the server secures the space for recognition of the moving vehicle and confirms its arrival. Furthermore, the server utilizes a guidance module with sustainable mode to provide the user with the optimal route. This aims to reduce environmental impact.

[0204] For example, if a user who has launched the app is in a hurry when visiting a shopping mall with their family on the weekend, and the app senses stress on their face, it will recommend a spacious parking space that is easily accessible and set an appropriate price.

[0205] An example of a prompt message might be: "Have you ever felt congestion or stress when parking in urban areas? Why not try an app that senses this from your facial expressions and voice and suggests parking spaces that minimize stress?"

[0206] This embodiment aims to provide users with a consistent and personalized parking experience and improve parking efficiency in urban areas.

[0207] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0208] Step 1:

[0209] A sensor device detects the availability of parking spaces and transmits this information to a server. The server analyzes this information and updates the availability database. The input is the detected parking space data, and the output is the updated availability data. This data is used to monitor the status of parking spaces in real time.

[0210] Step 2:

[0211] The user uses a terminal to input the vehicle's current location and destination. The terminal sends the input information to the server and receives the user's request. At this stage, the input is the current location and destination information, and the output is the request data sent to the server. This identifies the user's specific parking needs.

[0212] Step 3:

[0213] The user's device uses its camera and microphone to collect emotional information from the user's facial expressions and voice, and sends this information to the server. It takes facial expression data and voice data as input and generates the results of emotional analysis as output. The emotional analysis is performed using a generative AI model to evaluate the user's stress level and satisfaction level.

[0214] Step 4:

[0215] The server executes an intelligent algorithm based on received sentiment information and availability data to calculate the optimal parking location for the user. The input is user sentiment information and parking space data, and the output is a suggestion for the optimal parking location. This calculation also includes dynamic pricing to provide the best possible conditions for the user.

[0216] Step 5:

[0217] The user selects and reserves a parking space on their device. This information is sent to the server, which then secures the parking space. The input is the user's selection information, and the output is information about the reserved parking space. The server secures the reserved space and prepares data for recognition upon arrival.

[0218] Step 6:

[0219] The server calculates the optimal route to the parking location and provides directions to the terminal. It utilizes sustainable mode to provide environmentally conscious route guidance. Input is the current location and destination data, and output is optimal route information. Navigation data is displayed on the terminal to guide the user.

[0220] Step 7:

[0221] After parking is complete, the server requests feedback from the user. The collected feedback is used to continuously improve the service. The input is user feedback, and the output is data for improvement. This improves the user experience of the system.

[0222] 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.

[0223] 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.

[0224] 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.

[0225] [Second Embodiment]

[0226] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0227] 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.

[0228] 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).

[0229] 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.

[0230] 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.

[0231] 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).

[0232] 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.

[0233] 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.

[0234] 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.

[0235] 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.

[0236] 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.

[0237] 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".

[0238] This invention is a system for streamlining urban parking space management. The system consists of sensor devices, a server, and a user terminal, and is designed to significantly improve the user's parking experience.

[0239] First, sensor devices are installed in each parking space to detect availability in real time and send the data to a server. The server receives this information and updates the database of available spaces for the entire parking lot. This ensures that the latest parking information is always maintained.

[0240] Next, the user enters their desired parking location and conditions via the terminal, and the terminal sends this information to the server. The server uses an algorithm to suggest the best parking location to the user based on current availability and past data. At this time, the server performs dynamic pricing, calculating and displaying the optimal fee based on the time of day and congestion.

[0241] Once the user reviews the information provided and reserves a parking space, the terminal sends that information to the server to confirm the reservation. As a result, when the user arrives at the parking lot, the parking space is already secured.

[0242] Upon arrival, the server recognizes the vehicle via parking lot cameras and compares it to registered vehicles. Once recognition is confirmed, actions such as opening the gate are performed, enabling safe parking. Furthermore, the terminal guides the user to the optimal route in eco mode, reducing unnecessary idling time and thus mitigating the environmental impact.

[0243] As a concrete example, when a user goes to a commercial facility in the city, they can use this system to secure a parking space in advance and use the parking lot smoothly upon arrival. Furthermore, the dynamically calculated fee system allows users to make choices according to their budget. In this way, users benefit in terms of both time and cost.

[0244] The following describes the processing flow.

[0245] Step 1:

[0246] The server receives data in real time from sensor devices installed in each parking space, analyzes the availability of parking spaces, and updates the database. This ensures that the latest parking space information is always available.

[0247] Step 2:

[0248] The user uses a terminal to enter their desired parking location and parking conditions (e.g., price, location, safety, etc.) and sends the request to the server. The terminal provides GPS data and the user's desired conditions along with this information.

[0249] Step 3:

[0250] The server queries the database based on the user's request and runs an AI algorithm to match availability and parking conditions. This identifies a parking location and fee optimized for the user's needs.

[0251] Step 4:

[0252] The server dynamically calculates and displays parking fees to the user based on the results of an AI algorithm. The displayed information includes details such as parking time, fees, and location.

[0253] Step 5:

[0254] The user reviews the suggested parking locations and fees on the terminal and reserves a parking space if necessary. The terminal then sends the reservation information back to the server, completing the process of securing the parking space.

[0255] Step 6:

[0256] The device provides users with the optimal route from their starting point to their parking location using eco mode. This route guidance takes into account traffic information and the shortest travel time.

[0257] Step 7:

[0258] When a user arrives, the server recognizes the vehicle by scanning the camera at the parking lot entrance and verifies that it matches the pre-registered vehicle information. Once verification is complete, the parking lot gate opens, allowing for safe parking.

[0259] Step 8:

[0260] The server continuously monitors parked vehicles using security cameras to ensure safety. If necessary, it uses anomaly detection to immediately warn users.

[0261] (Example 1)

[0262] 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".

[0263] Parking problems in urban areas stem from a limited supply of parking spaces and the difficulty users face in choosing appropriate parking. In particular, challenges exist in areas such as obtaining real-time information on parking space availability, adjusting fees based on congestion levels, and reducing environmental impact. These issues necessitate efficient and reliable parking management solutions.

[0264] 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.

[0265] In this invention, the server includes means for aggregating information from data acquisition devices in real time and analyzing availability, means for proposing the optimal parking location to the user using a computational model, and means for automatically controlling entrances and exits through identification. As a result, users can instantly obtain information on available parking spaces and park efficiently while considering environmental impact and enjoying the optimal parking fee as needed.

[0266] A "data acquisition device" is a device installed in a parking area that monitors parking conditions in real time and transmits the collected information to a server.

[0267] A "mobile device" is a portable information processing device carried by the user, used for selecting parking locations and sending / receiving reservation information.

[0268] A "computational model" is a system that incorporates algorithms for allocating parking spaces and setting dynamic prices, and is a method used to suggest the most suitable parking location to the user.

[0269] "A means of dynamically setting and presenting prices" refers to a process for automatically changing prices according to the user's parking needs and congestion levels, and providing that information to the user.

[0270] "Energy-saving mode" is a function that provides driving routes and methods aimed at reducing fuel consumption and exhaust emissions during use.

[0271] "Monitoring function" refers to a means of detecting fraudulent activity or danger using surveillance cameras and sensors to ensure safety within the parking area.

[0272] The system for implementing this invention mainly consists of a data acquisition device, a server, and a mobile terminal. First, the data acquisition device is installed in the parking area and monitors the parking status of vehicles in real time. Hardware such as cameras and infrared sensors are used for this purpose. These devices sense the status of the parking area as "empty" or "occupied" and transmit the data to the server.

[0273] The server aggregates and analyzes the received information using a database management system. Based on this information, a computational model operates to suggest the optimal parking location to the user via their mobile device. This model dynamically evaluates available parking locations and presents the best option for each user. Furthermore, the server uses a dynamic pricing algorithm to calculate and display charges based on time and location.

[0274] Users can input their desired parking conditions using their mobile devices and receive suggestions from the server. Once a user selects a parking space and confirms their reservation, the reservation information is managed on the server. Upon arrival, an automated recognition system works in conjunction with the mobile device to control the parking lot entrance and exit, ensuring smooth parking.

[0275] As a concrete example, when a user visits a commercial facility in the city, they can use this system to reserve a parking space in advance and park without congestion upon arrival. Furthermore, it is possible to use a generative AI model to present the optimal route for the user as a prompt message. An example of a prompt message would be, "Please explain how to choose and reserve the best parking space for holiday shopping. Please also explain in detail how to use dynamic pricing and eco mode."

[0276] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0277] Step 1:

[0278] The server receives real-time parking status data from data acquisition devices. The input is parking status information, either "vacant" or "occupied," from sensor devices. Based on this data, the server updates the parking space database and provides information to accurately understand the current availability. Specifically, the server changes the status of parking spaces to "vacant" and also generates statistics on available spaces by area.

[0279] Step 2:

[0280] The terminal receives parking request information from the user. The input includes the desired parking location, time, and any special conditions, entered by the user via their mobile device. The terminal sends this information to the server, where it clarifies the user's request. As part of the data processing, the user's requests are converted into a standardized format, and the data is transferred to the server using a secure communication protocol. For example, the user might input, "I want to park near a building in the city center for two hours starting at 10 AM."

[0281] Step 3:

[0282] Based on the user's request received from the terminal, the server uses a calculation model to propose an optimal parking location. The input is the user's parking requirements and the current parking status data. The server performs data calculations considering past parking history, current availability, and nearby traffic volume to calculate the optimal parking space and its fee. As a specific operation, the server derives results such as "identifying available spaces within 200 meters from the building and presenting the fee with a 20% dynamic increase".

[0283] Step 4:

[0284] The user checks and selects the parking proposal from the server via the terminal. The input is the optimal parking location information from the server, and the user makes a reservation based on this information. The terminal resends the reservation information to the server and it is recorded in the database. As a specific operation, it includes the process where the user "reserves a parking space from 3:00 pm and receives a reservation number XYZ".

[0285] Step 5:

[0286] When the user arrives at the parking lot, the server uses a camera system to recognize the vehicle. The input is the camera image of the parking lot, which is compared with the registered vehicle data. As data processing, image recognition technology is used to analyze the vehicle number and features, and means to automatically control the gate are executed. As a specific operation, "vehicle recognition successful, open Gate No. 5" etc. are performed.

[0287] (Application Example 1)

[0288] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0289] Finding a parking space in urban areas is time-consuming and laborious, contributing to traffic congestion and increased environmental burden. Furthermore, the current lack of adequate safety and convenience for parked vehicles highlights the growing need for efficient and environmentally friendly parking management systems. Traditional parking management methods have not adequately addressed these challenges.

[0290] 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.

[0291] In this invention, the server includes means for collecting information in real time from detection devices within the parking area and analyzing availability, means for calculating and presenting variable pricing, and means for calculating and providing the optimal route to reduce environmental impact using eco mode. This enables users to efficiently find available parking spaces, complete reservations and payments online, and receive environmentally conscious route guidance.

[0292] A "parking area detection device" is a device that detects the parking status of a vehicle in real time and transmits the data to a server.

[0293] "A means of collecting information in real time and analyzing availability" refers to a method of processing collected information immediately and analyzing whether or not there are available parking spaces.

[0294] A "mobile unit" is a general term for objects that move within space, such as vehicles and other means of transportation.

[0295] "Means of utilizing information processing technology" refers to techniques that use data analysis and artificial intelligence algorithms to suggest the optimal parking location.

[0296] "Means of calculating and presenting variable pricing" refers to a method of dynamically setting and presenting fees to users based on the supply and demand for parking spaces.

[0297] "Eco mode" refers to operating methods and settings that reduce the environmental impact of the unit of transportation.

[0298] "Means of guiding users to the optimal route" refers to methods of presenting the best route so that users can reach their destination efficiently.

[0299] "Display means" refers to devices or apparatus used to provide visual information.

[0300] "Means for completing reservations and payments online" refers to a system that allows users to reserve parking spaces and pay for their use via the internet.

[0301] "Methods for managing user networks using an information sharing platform" refers to methods of controlling a network using a platform that allows multiple users to share information.

[0302] This invention is a system for streamlining parking management and consists of multiple components. The system mainly includes sensor devices, a server, and a user terminal. Embodiments are described in detail below.

[0303] The server collects data from detection devices installed within the parking area. This data includes real-time parking space usage. The server analyzes the received information to determine availability and applies an AI algorithm to generate the optimal parking location. AWS and Google Cloud are used for the hardware, and AWS Lambda and Google Cloud Functions can be used for real-time data processing. Big data analytics tools such as AWS QuickSight are used for analysis.

[0304] On the user terminal, parking reservation and payment can be made through an application. The user can input their current location and destination into the application, view the optimal parking spaces presented by the server, and make a reservation. This can significantly reduce the time spent finding an available parking lot. For the payment process, it is conceivable to integrate electronic payment services such as PayPal or Stripe as an online settlement system.

[0305] As an example of a prompt sentence, there is one like "Please propose the optimal parking space and route for the user to reach the destination in the city based on the following conditions: Current location: Tokyo Station, Destination: Ginza Shopping Street, Desired arrival time: 2 pm, Required parking time: 3 hours, Budget: within 1500 yen". By sending this prompt sentence to the server, an optimal parking solution can be presented to the user.

[0306] The eco-mode function is prepared to reduce the environmental impact during movement and guides the optimal route in cooperation with the Google Maps API. This enables the user to move efficiently and consider the environment. As a specific example, a user who visits a shopping mall on the weekend can reserve a parking space in advance through the application and reach there by the shortest distance avoiding congestion. This system is expected to reduce the stress related to parking and contribute to the smooth flow of urban traffic.

[0307] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0308] Step 1:

[0309] The server collects real-time data from sensor devices installed in the parking area. It receives signal data from each sensor as input and obtains data indicating whether it is in use or available. As a result, the database is updated with the latest parking space information.

[0310] Step 2:

[0311] The user enters their current location and destination into the application on their device. The entered location data is sent to the server, which then starts searching for parking information and the number of available spaces near the user's desired parking location.

[0312] Step 3:

[0313] The server uses information processing technology to analyze available parking spaces based on the received location data. As a preprocessing step, it references past availability and demand patterns using a big data analysis tool and calculates the optimal parking location using an AI algorithm. This result is then sent back to the user's terminal.

[0314] Step 4:

[0315] The server calculates dynamic pricing for the proposed parking location. It uses demand data, taking into account parking lot congestion and time of day, as input to calculate the fee. Then, it presents the user with available pricing plans on their device.

[0316] Step 5:

[0317] The user selects a suggested parking space and makes a reservation and payment online. The terminal sends the user's selection and payment information to the server as input, confirms the reservation, and sends a signal to reserve the corresponding parking space.

[0318] Step 6:

[0319] When a user heads to the parking lot at their specified arrival time, the device guides them along the optimal route. Route information is retrieved from the Google Maps API as input, providing route guidance in eco mode. This allows users to reach their destination while minimizing their environmental impact.

[0320] Step 7:

[0321] When a user arrives at the parking lot, the server processes visual data from the parking lot's video surveillance system to recognize registered vehicles. It analyzes the acquired video data, compares the vehicle's characteristics with its registration information, and automatically operates the parking gate. This ensures safe and quick parking.

[0322] 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.

[0323] This invention is a system that combines an emotion engine to optimize urban parking management. The system consists of sensor devices in the parking space, a server, a user terminal, and an emotion engine. This improves the quality of the parking experience and provides more personalized services based on the user's emotions.

[0324] First, the sensor device detects the availability of parking spaces in real time and sends this information to a server. The server analyzes this data and updates the parking space availability database. Meanwhile, the user uses a terminal to input their desired parking location and conditions, and also provides emotional information via voice or facial expression data.

[0325] Emotional information received by the device is analyzed by an emotion engine to determine the user's stress level and satisfaction level. Based on this information, the server uses an AI algorithm to suggest the most suitable parking location and fee for the user. This suggestion takes the user's emotional state into consideration and is adjusted according to the situation, prioritizing a more relaxing environment or quick access.

[0326] For example, if a user is experiencing stress, the system prioritizes displaying easily accessible locations with more spacious parking areas. Dynamic pricing further customizes the recommendations, balancing cost and convenience. Once a user selects a parking space and makes a reservation, that information is transmitted to the server via the terminal, securing the parking space.

[0327] Upon arrival, the server recognizes the vehicle via camera and verifies that it matches pre-registered information. In addition to route guidance in eco mode, it monitors user satisfaction while parked and collects feedback to continuously improve the service. This system comprehensively enhances the user experience and provides a better parking environment.

[0328] The following describes the processing flow.

[0329] Step 1:

[0330] The server acquires data in real time from sensor devices installed in each parking space and analyzes the availability of parking spaces. The analyzed information is updated in the server's database to maintain the latest status.

[0331] Step 2:

[0332] The user uses the device to input their destination and parking requirements. In addition, they use voice input via the microphone and transmit facial expression data via the camera. This allows the user's emotional state to be recorded on the device.

[0333] Step 3:

[0334] The device sends the collected user emotion data to the emotion engine. The emotion engine analyzes the data to determine the user's stress level and mood.

[0335] Step 4:

[0336] The server receives user input information and results from the emotion engine, and compares them with availability data. Using an artificial intelligence algorithm, it calculates the optimal parking location and fee based on the user's current emotional state.

[0337] Step 5:

[0338] The server sends information and fees for the most suitable parking location to the terminal. The terminal displays this information on its user interface, allowing the user to select a location.

[0339] Step 6:

[0340] The user checks the parking location and fee displayed via the terminal and makes a reservation. The terminal sends the reservation information to the server and instructs it to secure the parking space.

[0341] Step 7:

[0342] The device provides users with optimal route guidance in eco mode. The route takes traffic information into account to provide the shortest time or the least stressful route.

[0343] Step 8:

[0344] When a user arrives, the server recognizes the vehicle via a camera at the parking lot entrance and compares it with pre-registered vehicle information. Once authentication is complete, the parking lot gate opens.

[0345] Step 9:

[0346] The server uses security cameras in the parking lot to monitor and ensure user safety. If necessary, it utilizes an emotion engine to evaluate user satisfaction during use and collect data for future service improvements.

[0347] (Example 2)

[0348] 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".

[0349] The challenge lies in efficiently managing parking spaces in urban areas, where parking is limited, and improving the user parking experience. Conventional systems lack real-time availability information and adequately suggest parking locations that take user preferences into account, resulting in a lack of convenience. Furthermore, dynamic pricing and service improvements based on user feedback have been difficult.

[0350] 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.

[0351] In this invention, the server includes means for collecting information in real time from detection devices within the parking area and analyzing the availability status, means for receiving location information and request conditions from a user device and acquiring the user's emotional information, and means for performing artificial intelligence processing to propose the optimal parking location to the user based on the analyzed information and the user's emotional information. This enables the provision of a personalized parking experience that responds to the user's emotional state and efficient use of parking space.

[0352] A "parking area" refers to a designated space for temporarily parking a vehicle, and can consist of public or private locations.

[0353] A "detection device" is a device used to understand the situation within a parking area in real time, and may include sensors and cameras.

[0354] "Collecting information" refers to the process of taking in provided data, signals, etc., and converting them into an analyzable format.

[0355] "Analyzing availability" is the process of determining whether or not there are parking spaces available based on collected data.

[0356] "User equipment" refers to devices that are individually owned or used by a user, and are terminals used for communication and information input.

[0357] "Location information" refers to data that indicates a specific location, and usually includes longitude and latitude obtained from GPS or similar sources.

[0358] "Requirements" refer to the conditions and criteria that users desire when selecting a parking space.

[0359] "Emotional information" refers to data that indicates the user's emotional state, and is usually obtained through the analysis of voice and facial expressions.

[0360] "Artificial intelligence processing" refers to information processing performed by computers that mimic human intelligence, and includes technologies that enable them to make suggestions and predictions.

[0361] "Pricing" is the process of determining the monetary compensation for the provision of a service.

[0362] "Feedback" refers to evaluations and opinions from users regarding services and features, and is information that can be used to improve them.

[0363] This invention is a system for optimizing parking management in urban areas while improving the user parking experience. Its main components include a server, terminals, an emotion engine, and detection devices placed in the parking area.

[0364] The server receives real-time information from detection devices such as sensors and cameras installed within the parking area and continuously analyzes the availability status. This ensures that the server maintains an up-to-date database of parking space usage at all times.

[0365] The device receives location information and input conditions from the user, and collects emotional information such as voice and facial expressions. This information received by the device is analyzed by an emotion engine. The emotion engine employs speech recognition and image analysis technologies to evaluate the user's stress level and satisfaction level.

[0366] Based on these analysis results, the server uses artificial intelligence to suggest the optimal parking location and associated fees to the user. The AI ​​algorithm takes into account the collected emotional state of the user and makes suggestions tailored to individual needs, such as prioritizing ease of access and parking space size.

[0367] For example, if a user is behind schedule at work and experiencing high stress levels, the system will immediately suggest a spacious parking space that is easily accessible. It also offers dynamic pricing, providing flexible pricing options tailored to the user's priorities.

[0368] An example of a prompt for a generative AI model is: "Show how to design a system that integrates user sentiment information with real-time parking space availability so that the AI ​​can suggest the optimal parking location."

[0369] In this way, the present invention improves the parking experience while simultaneously increasing the efficiency of parking management in urban areas.

[0370] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0371] Step 1:

[0372] The server receives data in real time from sensors and cameras placed in the parking area. Sensors detect the status of available spaces, and cameras capture images of the surrounding environment. This data is analyzed to determine the availability of parking spaces. Inputs include sensor data and camera images, and the output generates the latest status of the parking space.

[0373] Step 2:

[0374] The user inputs conditions such as desired parking location and time via a terminal. Simultaneously, emotional information is provided to the terminal through voice input and facial expression analysis. Inputs include the user's location information, desired conditions, voice data, and facial expression data, and emotional information is generated and recorded as output.

[0375] Step 3:

[0376] The device transmits emotional information provided by the user to the emotion engine. The emotion engine uses speech recognition and image analysis technologies to evaluate the user's stress level and satisfaction level. Inputs include voice data and facial expression data, and the output generates detailed information about the user's emotional state.

[0377] Step 4:

[0378] The server processes availability data and user sentiment information using an AI algorithm. This processing allows the server to suggest the optimal parking location and fee for the user. The AI ​​takes into account the user's stress level and emotional state, prioritizing accessibility and parking space size in its suggestions. The input consists of availability data and sentiment information, and the output is the generation of optimal parking suggestions.

[0379] Step 5:

[0380] The user reviews the parking space suggestions from the server on the terminal screen and selects their desired parking space. Once the selection is complete, the terminal sends the selected information to the server. The user's selection information is the input, and reservation information is generated and recorded as output.

[0381] Step 6:

[0382] The server recognizes arriving vehicles using parking lot cameras and compares them with pre-registered vehicle information. This prevents fraudulent use. The input consists of camera footage and vehicle information, and the output is an authentication result.

[0383] Step 7:

[0384] After a user completes parking, they can provide feedback on the service through a terminal. The server collects this feedback and uses it to improve the service in the future. The input is user feedback, and the output is recorded as part of the improvement plan.

[0385] (Application Example 2)

[0386] 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."

[0387] As the demand for parking increases in urban areas, it is becoming difficult for users to efficiently find parking spaces. This is leading to increased stress and frustration, and a decline in satisfaction. In this situation, the current display of parking locations and pricing does not take user feelings into consideration, and there is a need to provide a personalized parking experience. Furthermore, incorporating dynamic pricing and environmental considerations is a challenge.

[0388] 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.

[0389] In this invention, the server includes means for collecting information in real time from detection devices in the parking space and analyzing the availability; means for receiving user requests by inputting the current location and purpose of the moving object; and means for utilizing an intelligent algorithm to present the user with the optimal parking location based on the analyzed information and the user's emotional information. This provides a personalized parking experience that takes the user's emotions into account, enabling efficient and stress-free parking.

[0390] A "detection device" is a device that detects the conditions within a parking space in real time and collects information.

[0391] "User requests" refer to information indicating parking needs based on the current location and destination of the moving object.

[0392] An "intelligent algorithm" is a computational method for calculating a personalized parking location based on analyzed information and user sentiment information.

[0393] "Dynamic pricing" is a function that adjusts parking fees according to usage and other conditions.

[0394] "Emotional information" refers to data that indicates the emotional state of users, such as their stress levels and satisfaction levels.

[0395] A "personalized parking experience" refers to the provision of parking services that are customized based on the individual user's feelings and needs.

[0396] "Sustainable mode" refers to an operating method that calculates the optimal route and reduces the environmental impact.

[0397] "Protective monitoring" refers to monitoring activities aimed at ensuring the safety of parking spaces.

[0398] This specification describes specific embodiments for constructing a parking management system and optimizing the parking experience in urban areas.

[0399] The sensor device functions as a real-time monitoring device installed within the parking space, continuously detecting the availability of parking spaces. This information is transmitted to a server and updated as a status database.

[0400] Users can use their devices to input the current location and destination of their mobile objects, thereby transmitting their requests to the server. In addition, the user's device is equipped with a camera and microphone, which collect emotional information from facial expressions and voice, and transmit this information to the server. This emotional information is analyzed by an intelligent algorithm to determine the user's emotional state, such as stress levels and satisfaction.

[0401] The server uses an intelligent algorithm to calculate the optimal parking location for the user based on received sentiment information and real-time data on parking spaces. Dynamic pricing is also taken into consideration, ensuring that the user is offered the most suitable parking fee.

[0402] Once a user selects and reserves a parking space, the server secures the space for recognition of the moving vehicle and confirms its arrival. Furthermore, the server utilizes a guidance module with sustainable mode to provide the user with the optimal route. This aims to reduce environmental impact.

[0403] For example, if a user who has launched the app is in a hurry when visiting a shopping mall with their family on the weekend, and the app senses stress on their face, it will recommend a spacious parking space that is easily accessible and set an appropriate price.

[0404] An example of a prompt message might be: "Have you ever felt congestion or stress when parking in urban areas? Why not try an app that senses this from your facial expressions and voice and suggests parking spaces that minimize stress?"

[0405] This embodiment aims to provide users with a consistent and personalized parking experience and improve parking efficiency in urban areas.

[0406] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0407] Step 1:

[0408] A sensor device detects the availability of parking spaces and transmits this information to a server. The server analyzes this information and updates the availability database. The input is the detected parking space data, and the output is the updated availability data. This data is used to monitor the status of parking spaces in real time.

[0409] Step 2:

[0410] The user uses a terminal to input the vehicle's current location and destination. The terminal sends the input information to the server and receives the user's request. At this stage, the input is the current location and destination information, and the output is the request data sent to the server. This identifies the user's specific parking needs.

[0411] Step 3:

[0412] The user's device uses its camera and microphone to collect emotional information from the user's facial expressions and voice, and sends this information to the server. It takes facial expression data and voice data as input and generates the results of emotional analysis as output. The emotional analysis is performed using a generative AI model to evaluate the user's stress level and satisfaction level.

[0413] Step 4:

[0414] The server executes an intelligent algorithm based on received sentiment information and availability data to calculate the optimal parking location for the user. The input is user sentiment information and parking space data, and the output is a suggestion for the optimal parking location. This calculation also includes dynamic pricing to provide the best possible conditions for the user.

[0415] Step 5:

[0416] The user selects and reserves a parking space on their device. This information is sent to the server, which then secures the parking space. The input is the user's selection information, and the output is information about the reserved parking space. The server secures the reserved space and prepares data for recognition upon arrival.

[0417] Step 6:

[0418] The server calculates the optimal route to the parking location and provides directions to the terminal. It utilizes sustainable mode to provide environmentally conscious route guidance. Input is the current location and destination data, and output is optimal route information. Navigation data is displayed on the terminal to guide the user.

[0419] Step 7:

[0420] After parking is complete, the server requests feedback from the user. The collected feedback is used to continuously improve the service. The input is user feedback, and the output is data for improvement. This improves the user experience of the system.

[0421] 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.

[0422] 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.

[0423] 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.

[0424] [Third Embodiment]

[0425] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0426] 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.

[0427] 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).

[0428] 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.

[0429] 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.

[0430] 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).

[0431] 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.

[0432] 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.

[0433] 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.

[0434] 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.

[0435] 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.

[0436] 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".

[0437] This invention is a system for streamlining urban parking space management. The system consists of sensor devices, a server, and a user terminal, and is designed to significantly improve the user's parking experience.

[0438] First, sensor devices are installed in each parking space to detect availability in real time and send the data to a server. The server receives this information and updates the database of available spaces for the entire parking lot. This ensures that the latest parking information is always maintained.

[0439] Next, the user enters their desired parking location and conditions via the terminal, and the terminal sends this information to the server. The server uses an algorithm to suggest the best parking location to the user based on current availability and past data. At this time, the server performs dynamic pricing, calculating and displaying the optimal fee based on the time of day and congestion.

[0440] Once the user reviews the information provided and reserves a parking space, the terminal sends that information to the server to confirm the reservation. As a result, when the user arrives at the parking lot, the parking space is already secured.

[0441] Upon arrival, the server recognizes the vehicle via parking lot cameras and compares it to registered vehicles. Once recognition is confirmed, actions such as opening the gate are performed, enabling safe parking. Furthermore, the terminal guides the user to the optimal route in eco mode, reducing unnecessary idling time and thus mitigating the environmental impact.

[0442] As a concrete example, when a user goes to a commercial facility in the city, they can use this system to secure a parking space in advance and use the parking lot smoothly upon arrival. Furthermore, the dynamically calculated fee system allows users to make choices according to their budget. In this way, users benefit in terms of both time and cost.

[0443] The following describes the processing flow.

[0444] Step 1:

[0445] The server receives data in real time from sensor devices installed in each parking space, analyzes the availability of parking spaces, and updates the database. This ensures that the latest parking space information is always available.

[0446] Step 2:

[0447] The user uses a terminal to enter their desired parking location and parking conditions (e.g., price, location, safety, etc.) and sends the request to the server. The terminal provides GPS data and the user's desired conditions along with this information.

[0448] Step 3:

[0449] The server queries the database based on the user's request and runs an AI algorithm to match availability and parking conditions. This identifies a parking location and fee optimized for the user's needs.

[0450] Step 4:

[0451] The server dynamically calculates and displays parking fees to the user based on the results of an AI algorithm. The displayed information includes details such as parking time, fees, and location.

[0452] Step 5:

[0453] The user reviews the suggested parking locations and fees on the terminal and reserves a parking space if necessary. The terminal then sends the reservation information back to the server, completing the process of securing the parking space.

[0454] Step 6:

[0455] The device provides users with the optimal route from their starting point to their parking location using eco mode. This route guidance takes into account traffic information and the shortest travel time.

[0456] Step 7:

[0457] When a user arrives, the server recognizes the vehicle by scanning the camera at the parking lot entrance and verifies that it matches the pre-registered vehicle information. Once verification is complete, the parking lot gate opens, allowing for safe parking.

[0458] Step 8:

[0459] The server continuously monitors parked vehicles using security cameras to ensure safety. If necessary, it uses anomaly detection to immediately warn users.

[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] Parking problems in urban areas stem from a limited supply of parking spaces and the difficulty users face in choosing appropriate parking. In particular, challenges exist in areas such as obtaining real-time information on parking space availability, adjusting fees based on congestion levels, and reducing environmental impact. These issues necessitate efficient and reliable parking management solutions.

[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 aggregating information from data acquisition devices in real time and analyzing availability, means for proposing the optimal parking location to the user using a computational model, and means for automatically controlling entrances and exits through identification. As a result, users can instantly obtain information on available parking spaces and park efficiently while considering environmental impact and enjoying the optimal parking fee as needed.

[0465] A "data acquisition device" is a device installed in a parking area that monitors parking conditions in real time and transmits the collected information to a server.

[0466] A "mobile device" is a portable information processing device carried by the user, used for selecting parking locations and sending / receiving reservation information.

[0467] A "computational model" is a system that incorporates algorithms for allocating parking spaces and setting dynamic prices, and is a method used to suggest the most suitable parking location to the user.

[0468] "A means of dynamically setting and presenting prices" refers to a process for automatically changing prices according to the user's parking needs and congestion levels, and providing that information to the user.

[0469] "Energy-saving mode" is a function that provides driving routes and methods aimed at reducing fuel consumption and exhaust emissions during use.

[0470] "Monitoring function" refers to a means of detecting fraudulent activity or danger using surveillance cameras and sensors to ensure safety within the parking area.

[0471] The system for implementing this invention mainly consists of a data acquisition device, a server, and a mobile terminal. First, the data acquisition device is installed in the parking area and monitors the parking status of vehicles in real time. Hardware such as cameras and infrared sensors are used for this purpose. These devices sense the status of the parking area as "empty" or "occupied" and transmit the data to the server.

[0472] The server aggregates and analyzes the received information using a database management system. Based on this information, a computational model operates to suggest the optimal parking location to the user via their mobile device. This model dynamically evaluates available parking locations and presents the best option for each user. Furthermore, the server uses a dynamic pricing algorithm to calculate and display charges based on time and location.

[0473] Users can input their desired parking conditions using their mobile devices and receive suggestions from the server. Once a user selects a parking space and confirms their reservation, the reservation information is managed on the server. Upon arrival, an automated recognition system works in conjunction with the mobile device to control the parking lot entrance and exit, ensuring smooth parking.

[0474] As a concrete example, when a user visits a commercial facility in the city, they can use this system to reserve a parking space in advance and park without congestion upon arrival. Furthermore, it is possible to use a generative AI model to present the optimal route for the user as a prompt message. An example of a prompt message would be, "Please explain how to choose and reserve the best parking space for holiday shopping. Please also explain in detail how to use dynamic pricing and eco mode."

[0475] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0476] Step 1:

[0477] The server receives real-time parking status data from data acquisition devices. The input is parking status information, either "vacant" or "occupied," from sensor devices. Based on this data, the server updates the parking space database and provides information to accurately understand the current availability. Specifically, the server changes the status of parking spaces to "vacant" and also generates statistics on available spaces by area.

[0478] Step 2:

[0479] The terminal receives parking request information from the user. The input includes the desired parking location, time, and any special conditions, entered by the user via their mobile device. The terminal sends this information to the server, where it clarifies the user's request. As part of the data processing, the user's requests are converted into a standardized format, and the data is transferred to the server using a secure communication protocol. For example, the user might input, "I want to park near a building in the city center for two hours starting at 10 AM."

[0480] Step 3:

[0481] The server uses a computational model to suggest the best parking location based on the user's request received from the terminal. The input consists of the user's parking preferences and current parking status data. The server performs data calculations considering past parking history, current availability, and nearby traffic volume to calculate the optimal parking space and its fee. Specifically, the server might derive a result such as "identify available spaces within 200 meters of the building and dynamically present a fee with a 20% increase."

[0482] Step 4:

[0483] The user reviews and selects a parking space from the server via a terminal. The input is optimal parking location information from the server, and the user makes a reservation based on this information. The terminal then sends the reservation information back to the server, where it is recorded in the database. A specific example of this process is the user "reserving a parking space from 3 PM and receiving reservation number XYZ".

[0484] Step 5:

[0485] When a user arrives at the parking lot, the server uses a camera system to recognize the vehicle. The input is a camera image of the parking lot, which is then compared with registered vehicle data. As part of the data processing, image recognition technology is used to analyze the vehicle's number and characteristics, and a mechanism is executed to automatically control the gate. A specific action might be, "Vehicle recognition successful, open gate No. 5."

[0486] (Application Example 1)

[0487] 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."

[0488] Finding a parking space in urban areas is time-consuming and laborious, contributing to traffic congestion and increased environmental burden. Furthermore, the current lack of adequate safety and convenience for parked vehicles highlights the growing need for efficient and environmentally friendly parking management systems. Traditional parking management methods have not adequately addressed these challenges.

[0489] 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.

[0490] In this invention, the server includes means for collecting information in real time from detection devices within the parking area and analyzing availability, means for calculating and presenting variable pricing, and means for calculating and providing the optimal route to reduce environmental impact using eco mode. This enables users to efficiently find available parking spaces, complete reservations and payments online, and receive environmentally conscious route guidance.

[0491] A "parking area detection device" is a device that detects the parking status of a vehicle in real time and transmits the data to a server.

[0492] "A means of collecting information in real time and analyzing availability" refers to a method of processing collected information immediately and analyzing whether or not there are available parking spaces.

[0493] A "mobile unit" is a general term for objects that move within space, such as vehicles and other means of transportation.

[0494] "Means of utilizing information processing technology" refers to techniques that use data analysis and artificial intelligence algorithms to suggest the optimal parking location.

[0495] "Means of calculating and presenting variable pricing" refers to a method of dynamically setting and presenting fees to users based on the supply and demand for parking spaces.

[0496] "Eco mode" refers to operating methods and settings that reduce the environmental impact of the unit of transportation.

[0497] "Means of guiding users to the optimal route" refers to methods of presenting the best route so that users can reach their destination efficiently.

[0498] "Display means" refers to devices or apparatus used to provide visual information.

[0499] "Means for completing reservations and payments online" refers to a system that allows users to reserve parking spaces and pay for their use via the internet.

[0500] "Methods for managing user networks using an information sharing platform" refers to methods of controlling a network using a platform that allows multiple users to share information.

[0501] This invention is a system for streamlining parking management and consists of multiple components. The system mainly includes sensor devices, a server, and a user terminal. Embodiments are described in detail below.

[0502] The server collects data from detection devices installed within the parking area. This data includes real-time parking space usage. The server analyzes the received information to determine availability and applies an AI algorithm to generate the optimal parking location. AWS and Google Cloud are used for the hardware, and AWS Lambda and Google Cloud Functions can be used for real-time data processing. Big data analytics tools such as AWS QuickSight are used for analysis.

[0503] On the user's terminal, parking reservations and payments can be made through an application. Users can enter their current location and destination into the app, view the best parking spaces suggested by the server, and make a reservation. This significantly reduces the time spent finding available parking. For payment processing, it is conceivable to integrate electronic payment services such as PayPal and Stripe into a system that completes the process online.

[0504] An example of a prompt message might be: "Based on the following conditions, suggest the best parking space and route for the user to reach their destination in the city: Current location: Tokyo Station, Destination: Ginza Shopping Street, Desired arrival time: 2 PM, Parking duration: 3 hours, Budget: Under 1500 yen." By sending this prompt message to the server, the system can present the user with the most suitable parking solution.

[0505] The Eco Mode feature is designed to reduce the environmental impact of travel, guiding users along the optimal route in conjunction with the Google Maps API. This enables users to travel efficiently and in an environmentally conscious manner. For example, a user visiting a shopping mall on the weekend can reserve a parking space in advance through the app, avoiding congestion and arriving via the shortest route. This system is expected to reduce parking-related stress and contribute to smoother urban traffic.

[0506] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0507] Step 1:

[0508] The server collects real-time data from sensor devices installed within the parking area. It receives signal data from each sensor as input, obtaining data indicating whether a space is occupied or vacant. This updates the database with the latest parking space information.

[0509] Step 2:

[0510] The user enters their current location and destination into the application on their device. The entered location data is sent to the server, which then starts searching for parking information and the number of available spaces near the user's desired parking location.

[0511] Step 3:

[0512] The server uses information processing technology to analyze available parking spaces based on the received location data. As a preprocessing step, it references past availability and demand patterns using a big data analysis tool and calculates the optimal parking location using an AI algorithm. This result is then sent back to the user's terminal.

[0513] Step 4:

[0514] The server calculates dynamic pricing for the proposed parking location. It uses demand data, taking into account parking lot congestion and time of day, as input to calculate the fee. Then, it presents the user with available pricing plans on their device.

[0515] Step 5:

[0516] The user selects a suggested parking space and makes a reservation and payment online. The terminal sends the user's selection and payment information to the server as input, confirms the reservation, and sends a signal to reserve the corresponding parking space.

[0517] Step 6:

[0518] When a user heads to the parking lot at their specified arrival time, the device guides them along the optimal route. Route information is retrieved from the Google Maps API as input, providing route guidance in eco mode. This allows users to reach their destination while minimizing their environmental impact.

[0519] Step 7:

[0520] When a user arrives at the parking lot, the server processes visual data from the parking lot's video surveillance system to recognize registered vehicles. It analyzes the acquired video data, compares the vehicle's characteristics with its registration information, and automatically operates the parking gate. This ensures safe and quick parking.

[0521] 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.

[0522] This invention is a system that combines an emotion engine to optimize urban parking management. The system consists of sensor devices in the parking space, a server, a user terminal, and an emotion engine. This improves the quality of the parking experience and provides more personalized services based on the user's emotions.

[0523] First, the sensor device detects the availability of parking spaces in real time and sends this information to a server. The server analyzes this data and updates the parking space availability database. Meanwhile, the user uses a terminal to input their desired parking location and conditions, and also provides emotional information via voice or facial expression data.

[0524] Emotional information received by the device is analyzed by an emotion engine to determine the user's stress level and satisfaction level. Based on this information, the server uses an AI algorithm to suggest the most suitable parking location and fee for the user. This suggestion takes the user's emotional state into consideration and is adjusted according to the situation, prioritizing a more relaxing environment or quick access.

[0525] For example, if a user is experiencing stress, the system prioritizes displaying easily accessible locations with more spacious parking areas. Dynamic pricing further customizes the recommendations, balancing cost and convenience. Once a user selects a parking space and makes a reservation, that information is transmitted to the server via the terminal, securing the parking space.

[0526] Upon arrival, the server recognizes the vehicle via camera and verifies that it matches pre-registered information. In addition to route guidance in eco mode, it monitors user satisfaction while parked and collects feedback to continuously improve the service. This system comprehensively enhances the user experience and provides a better parking environment.

[0527] The following describes the processing flow.

[0528] Step 1:

[0529] The server acquires data in real time from sensor devices installed in each parking space and analyzes the availability of parking spaces. The analyzed information is updated in the server's database to maintain the latest status.

[0530] Step 2:

[0531] The user uses the device to input their destination and parking requirements. In addition, they use voice input via the microphone and transmit facial expression data via the camera. This allows the user's emotional state to be recorded on the device.

[0532] Step 3:

[0533] The device sends the collected user emotion data to the emotion engine. The emotion engine analyzes the data to determine the user's stress level and mood.

[0534] Step 4:

[0535] The server receives user input information and results from the emotion engine, and compares them with availability data. Using an artificial intelligence algorithm, it calculates the optimal parking location and fee based on the user's current emotional state.

[0536] Step 5:

[0537] The server sends information and fees for the most suitable parking location to the terminal. The terminal displays this information on its user interface, allowing the user to select a location.

[0538] Step 6:

[0539] The user checks the parking location and fee displayed via the terminal and makes a reservation. The terminal sends the reservation information to the server and instructs it to secure the parking space.

[0540] Step 7:

[0541] The device provides users with optimal route guidance in eco mode. The route takes traffic information into account to provide the shortest time or the least stressful route.

[0542] Step 8:

[0543] When a user arrives, the server recognizes the vehicle via a camera at the parking lot entrance and compares it with pre-registered vehicle information. Once authentication is complete, the parking lot gate opens.

[0544] Step 9:

[0545] The server uses security cameras in the parking lot to monitor and ensure user safety. If necessary, it utilizes an emotion engine to evaluate user satisfaction during use and collect data for future service improvements.

[0546] (Example 2)

[0547] 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."

[0548] The challenge lies in efficiently managing parking spaces in urban areas, where parking is limited, and improving the user parking experience. Conventional systems lack real-time availability information and adequately suggest parking locations that take user preferences into account, resulting in a lack of convenience. Furthermore, dynamic pricing and service improvements based on user feedback have been difficult.

[0549] 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.

[0550] In this invention, the server includes means for collecting information in real time from detection devices within the parking area and analyzing the availability status, means for receiving location information and request conditions from a user device and acquiring the user's emotional information, and means for performing artificial intelligence processing to propose the optimal parking location to the user based on the analyzed information and the user's emotional information. This enables the provision of a personalized parking experience that responds to the user's emotional state and efficient use of parking space.

[0551] A "parking area" refers to a designated space for temporarily parking a vehicle, and can consist of public or private locations.

[0552] A "detection device" is a device used to understand the situation within a parking area in real time, and may include sensors and cameras.

[0553] "Collecting information" refers to the process of taking in provided data, signals, etc., and converting them into an analyzable format.

[0554] "Analyzing availability" is the process of determining whether or not there are parking spaces available based on collected data.

[0555] "User equipment" refers to devices that are individually owned or used by a user, and are terminals used for communication and information input.

[0556] "Location information" refers to data that indicates a specific location, and usually includes longitude and latitude obtained from GPS or similar sources.

[0557] "Requirements" refer to the conditions and criteria that users desire when selecting a parking space.

[0558] "Emotional information" refers to data that indicates the user's emotional state, and is usually obtained through the analysis of voice and facial expressions.

[0559] "Artificial intelligence processing" refers to information processing performed by computers that mimic human intelligence, and includes technologies that enable them to make suggestions and predictions.

[0560] "Pricing" is the process of determining the monetary compensation for the provision of a service.

[0561] "Feedback" refers to evaluations and opinions from users regarding services and features, and is information that can be used to improve them.

[0562] This invention is a system for optimizing parking management in urban areas while improving the user parking experience. Its main components include a server, terminals, an emotion engine, and detection devices placed in the parking area.

[0563] The server receives real-time information from detection devices such as sensors and cameras installed within the parking area and continuously analyzes the availability status. This ensures that the server maintains an up-to-date database of parking space usage at all times.

[0564] The device receives location information and input conditions from the user, and collects emotional information such as voice and facial expressions. This information received by the device is analyzed by an emotion engine. The emotion engine employs speech recognition and image analysis technologies to evaluate the user's stress level and satisfaction level.

[0565] Based on these analysis results, the server uses artificial intelligence to suggest the optimal parking location and associated fees to the user. The AI ​​algorithm takes into account the collected emotional state of the user and makes suggestions tailored to individual needs, such as prioritizing ease of access and parking space size.

[0566] For example, if a user is behind schedule at work and experiencing high stress levels, the system will immediately suggest a spacious parking space that is easily accessible. It also offers dynamic pricing, providing flexible pricing options tailored to the user's priorities.

[0567] An example of a prompt for a generative AI model is: "Show how to design a system that integrates user sentiment information with real-time parking space availability so that the AI ​​can suggest the optimal parking location."

[0568] In this way, the present invention improves the parking experience while simultaneously increasing the efficiency of parking management in urban areas.

[0569] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0570] Step 1:

[0571] The server receives data in real time from sensors and cameras placed in the parking area. Sensors detect the status of available spaces, and cameras capture images of the surrounding environment. This data is analyzed to determine the availability of parking spaces. Inputs include sensor data and camera images, and the output generates the latest status of the parking space.

[0572] Step 2:

[0573] The user inputs conditions such as desired parking location and time via a terminal. Simultaneously, emotional information is provided to the terminal through voice input and facial expression analysis. Inputs include the user's location information, desired conditions, voice data, and facial expression data, and emotional information is generated and recorded as output.

[0574] Step 3:

[0575] The device transmits emotional information provided by the user to the emotion engine. The emotion engine uses speech recognition and image analysis technologies to evaluate the user's stress level and satisfaction level. Inputs include voice data and facial expression data, and the output generates detailed information about the user's emotional state.

[0576] Step 4:

[0577] The server processes availability data and user sentiment information using an AI algorithm. This processing allows the server to suggest the optimal parking location and fee for the user. The AI ​​takes into account the user's stress level and emotional state, prioritizing accessibility and parking space size in its suggestions. The input consists of availability data and sentiment information, and the output is the generation of optimal parking suggestions.

[0578] Step 5:

[0579] The user reviews the parking space suggestions from the server on the terminal screen and selects their desired parking space. Once the selection is complete, the terminal sends the selected information to the server. The user's selection information is the input, and reservation information is generated and recorded as output.

[0580] Step 6:

[0581] The server recognizes arriving vehicles using parking lot cameras and compares them with pre-registered vehicle information. This prevents fraudulent use. The input consists of camera footage and vehicle information, and the output is an authentication result.

[0582] Step 7:

[0583] After a user completes parking, they can provide feedback on the service through a terminal. The server collects this feedback and uses it to improve the service in the future. The input is user feedback, and the output is recorded as part of the improvement plan.

[0584] (Application Example 2)

[0585] 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."

[0586] As the demand for parking increases in urban areas, it is becoming difficult for users to efficiently find parking spaces. This is leading to increased stress and frustration, and a decline in satisfaction. In this situation, the current display of parking locations and pricing does not take user feelings into consideration, and there is a need to provide a personalized parking experience. Furthermore, incorporating dynamic pricing and environmental considerations is a challenge.

[0587] 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.

[0588] In this invention, the server includes means for collecting information in real time from detection devices in the parking space and analyzing the availability; means for receiving user requests by inputting the current location and purpose of the moving object; and means for utilizing an intelligent algorithm to present the user with the optimal parking location based on the analyzed information and the user's emotional information. This provides a personalized parking experience that takes the user's emotions into account, enabling efficient and stress-free parking.

[0589] A "detection device" is a device that detects the conditions within a parking space in real time and collects information.

[0590] "User requests" refer to information indicating parking needs based on the current location and destination of the moving object.

[0591] An "intelligent algorithm" is a computational method for calculating a personalized parking location based on analyzed information and user sentiment information.

[0592] "Dynamic pricing" is a function that adjusts parking fees according to usage and other conditions.

[0593] "Emotional information" refers to data that indicates the emotional state of users, such as their stress levels and satisfaction levels.

[0594] A "personalized parking experience" refers to the provision of parking services that are customized based on the individual user's feelings and needs.

[0595] "Sustainable mode" refers to an operating method that calculates the optimal route and reduces the environmental impact.

[0596] "Protective monitoring" refers to monitoring activities aimed at ensuring the safety of parking spaces.

[0597] This specification describes specific embodiments for constructing a parking management system and optimizing the parking experience in urban areas.

[0598] The sensor device functions as a real-time monitoring device installed within the parking space, continuously detecting the availability of parking spaces. This information is transmitted to a server and updated as a status database.

[0599] Users can use their devices to input the current location and destination of their mobile objects, thereby transmitting their requests to the server. In addition, the user's device is equipped with a camera and microphone, which collect emotional information from facial expressions and voice, and transmit this information to the server. This emotional information is analyzed by an intelligent algorithm to determine the user's emotional state, such as stress levels and satisfaction.

[0600] The server uses an intelligent algorithm to calculate the optimal parking location for the user based on received sentiment information and real-time data on parking spaces. Dynamic pricing is also taken into consideration, ensuring that the user is offered the most suitable parking fee.

[0601] Once a user selects and reserves a parking space, the server secures the space for recognition of the moving vehicle and confirms its arrival. Furthermore, the server utilizes a guidance module with sustainable mode to provide the user with the optimal route. This aims to reduce environmental impact.

[0602] For example, if a user who has launched the app is in a hurry when visiting a shopping mall with their family on the weekend, and the app senses stress on their face, it will recommend a spacious parking space that is easily accessible and set an appropriate price.

[0603] An example of a prompt message might be: "Have you ever felt congestion or stress when parking in urban areas? Why not try an app that senses this from your facial expressions and voice and suggests parking spaces that minimize stress?"

[0604] This embodiment aims to provide users with a consistent and personalized parking experience and improve parking efficiency in urban areas.

[0605] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0606] Step 1:

[0607] A sensor device detects the availability of parking spaces and transmits this information to a server. The server analyzes this information and updates the availability database. The input is the detected parking space data, and the output is the updated availability data. This data is used to monitor the status of parking spaces in real time.

[0608] Step 2:

[0609] The user uses a terminal to input the vehicle's current location and destination. The terminal sends the input information to the server and receives the user's request. At this stage, the input is the current location and destination information, and the output is the request data sent to the server. This identifies the user's specific parking needs.

[0610] Step 3:

[0611] The user's device uses its camera and microphone to collect emotional information from the user's facial expressions and voice, and sends this information to the server. It takes facial expression data and voice data as input and generates the results of emotional analysis as output. The emotional analysis is performed using a generative AI model to evaluate the user's stress level and satisfaction level.

[0612] Step 4:

[0613] The server executes an intelligent algorithm based on received sentiment information and availability data to calculate the optimal parking location for the user. The input is user sentiment information and parking space data, and the output is a suggestion for the optimal parking location. This calculation also includes dynamic pricing to provide the best possible conditions for the user.

[0614] Step 5:

[0615] The user selects and reserves a parking space on their device. This information is sent to the server, which then secures the parking space. The input is the user's selection information, and the output is information about the reserved parking space. The server secures the reserved space and prepares data for recognition upon arrival.

[0616] Step 6:

[0617] The server calculates the optimal route to the parking location and provides directions to the terminal. It utilizes sustainable mode to provide environmentally conscious route guidance. Input is the current location and destination data, and output is optimal route information. Navigation data is displayed on the terminal to guide the user.

[0618] Step 7:

[0619] After parking is complete, the server requests feedback from the user. The collected feedback is used to continuously improve the service. The input is user feedback, and the output is data for improvement. This improves the user experience of the system.

[0620] 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.

[0621] 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.

[0622] 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.

[0623] [Fourth Embodiment]

[0624] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0625] 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.

[0626] 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).

[0627] 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.

[0628] 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.

[0629] 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).

[0630] 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.

[0631] 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.

[0632] 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.

[0633] 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.

[0634] 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.

[0635] 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.

[0636] 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".

[0637] This invention is a system for streamlining urban parking space management. The system consists of sensor devices, a server, and a user terminal, and is designed to significantly improve the user's parking experience.

[0638] First, sensor devices are installed in each parking space to detect availability in real time and send the data to a server. The server receives this information and updates the database of available spaces for the entire parking lot. This ensures that the latest parking information is always maintained.

[0639] Next, the user enters their desired parking location and conditions via the terminal, and the terminal sends this information to the server. The server uses an algorithm to suggest the best parking location to the user based on current availability and past data. At this time, the server performs dynamic pricing, calculating and displaying the optimal fee based on the time of day and congestion.

[0640] Once the user reviews the information provided and reserves a parking space, the terminal sends that information to the server to confirm the reservation. As a result, when the user arrives at the parking lot, the parking space is already secured.

[0641] Upon arrival, the server recognizes the vehicle via parking lot cameras and compares it to registered vehicles. Once recognition is confirmed, actions such as opening the gate are performed, enabling safe parking. Furthermore, the terminal guides the user to the optimal route in eco mode, reducing unnecessary idling time and thus mitigating the environmental impact.

[0642] As a concrete example, when a user goes to a commercial facility in the city, they can use this system to secure a parking space in advance and use the parking lot smoothly upon arrival. Furthermore, the dynamically calculated fee system allows users to make choices according to their budget. In this way, users benefit in terms of both time and cost.

[0643] The following describes the processing flow.

[0644] Step 1:

[0645] The server receives data in real time from sensor devices installed in each parking space, analyzes the availability of parking spaces, and updates the database. This ensures that the latest parking space information is always available.

[0646] Step 2:

[0647] The user uses a terminal to enter their desired parking location and parking conditions (e.g., price, location, safety, etc.) and sends the request to the server. The terminal provides GPS data and the user's desired conditions along with this information.

[0648] Step 3:

[0649] The server queries the database based on the user's request and runs an AI algorithm to match availability and parking conditions. This identifies a parking location and fee optimized for the user's needs.

[0650] Step 4:

[0651] The server dynamically calculates and displays parking fees to the user based on the results of an AI algorithm. The displayed information includes details such as parking time, fees, and location.

[0652] Step 5:

[0653] The user reviews the suggested parking locations and fees on the terminal and reserves a parking space if necessary. The terminal then sends the reservation information back to the server, completing the process of securing the parking space.

[0654] Step 6:

[0655] The device provides users with the optimal route from their starting point to their parking location using eco mode. This route guidance takes into account traffic information and the shortest travel time.

[0656] Step 7:

[0657] When a user arrives, the server recognizes the vehicle by scanning the camera at the parking lot entrance and verifies that it matches the pre-registered vehicle information. Once verification is complete, the parking lot gate opens, allowing for safe parking.

[0658] Step 8:

[0659] The server continuously monitors parked vehicles using security cameras to ensure safety. If necessary, it uses anomaly detection to immediately warn users.

[0660] (Example 1)

[0661] 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".

[0662] Parking problems in urban areas stem from a limited supply of parking spaces and the difficulty users face in choosing appropriate parking. In particular, challenges exist in areas such as obtaining real-time information on parking space availability, adjusting fees based on congestion levels, and reducing environmental impact. These issues necessitate efficient and reliable parking management solutions.

[0663] 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.

[0664] In this invention, the server includes means for aggregating information from data acquisition devices in real time and analyzing availability, means for proposing the optimal parking location to the user using a computational model, and means for automatically controlling entrances and exits through identification. As a result, users can instantly obtain information on available parking spaces and park efficiently while considering environmental impact and enjoying the optimal parking fee as needed.

[0665] A "data acquisition device" is a device installed in a parking area that monitors parking conditions in real time and transmits the collected information to a server.

[0666] A "mobile device" is a portable information processing device carried by the user, used for selecting parking locations and sending / receiving reservation information.

[0667] A "computational model" is a system that incorporates algorithms for allocating parking spaces and setting dynamic prices, and is a method used to suggest the most suitable parking location to the user.

[0668] "A means of dynamically setting and presenting prices" refers to a process for automatically changing prices according to the user's parking needs and congestion levels, and providing that information to the user.

[0669] "Energy-saving mode" is a function that provides driving routes and methods aimed at reducing fuel consumption and exhaust emissions during use.

[0670] "Monitoring function" refers to a means of detecting fraudulent activity or danger using surveillance cameras and sensors to ensure safety within the parking area.

[0671] The system for implementing this invention mainly consists of a data acquisition device, a server, and a mobile terminal. First, the data acquisition device is installed in the parking area and monitors the parking status of vehicles in real time. Hardware such as cameras and infrared sensors are used for this purpose. These devices sense the status of the parking area as "empty" or "occupied" and transmit the data to the server.

[0672] The server aggregates and analyzes the received information using a database management system. Based on this information, a computational model operates to suggest the optimal parking location to the user via their mobile device. This model dynamically evaluates available parking locations and presents the best option for each user. Furthermore, the server uses a dynamic pricing algorithm to calculate and display charges based on time and location.

[0673] Users can input their desired parking conditions using their mobile devices and receive suggestions from the server. Once a user selects a parking space and confirms their reservation, the reservation information is managed on the server. Upon arrival, an automated recognition system works in conjunction with the mobile device to control the parking lot entrance and exit, ensuring smooth parking.

[0674] As a concrete example, when a user visits a commercial facility in the city, they can use this system to reserve a parking space in advance and park without congestion upon arrival. Furthermore, it is possible to use a generative AI model to present the optimal route for the user as a prompt message. An example of a prompt message would be, "Please explain how to choose and reserve the best parking space for holiday shopping. Please also explain in detail how to use dynamic pricing and eco mode."

[0675] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0676] Step 1:

[0677] The server receives real-time parking status data from data acquisition devices. The input is parking status information, either "vacant" or "occupied," from sensor devices. Based on this data, the server updates the parking space database and provides information to accurately understand the current availability. Specifically, the server changes the status of parking spaces to "vacant" and also generates statistics on available spaces by area.

[0678] Step 2:

[0679] The terminal receives parking request information from the user. The input includes the desired parking location, time, and any special conditions, entered by the user via their mobile device. The terminal sends this information to the server, where it clarifies the user's request. As part of the data processing, the user's requests are converted into a standardized format, and the data is transferred to the server using a secure communication protocol. For example, the user might input, "I want to park near a building in the city center for two hours starting at 10 AM."

[0680] Step 3:

[0681] The server uses a computational model to suggest the best parking location based on the user's request received from the terminal. The input consists of the user's parking preferences and current parking status data. The server performs data calculations considering past parking history, current availability, and nearby traffic volume to calculate the optimal parking space and its fee. Specifically, the server might derive a result such as "identify available spaces within 200 meters of the building and dynamically present a fee with a 20% increase."

[0682] Step 4:

[0683] The user reviews and selects a parking space from the server via a terminal. The input is optimal parking location information from the server, and the user makes a reservation based on this information. The terminal then sends the reservation information back to the server, where it is recorded in the database. A specific example of this process is the user "reserving a parking space from 3 PM and receiving reservation number XYZ".

[0684] Step 5:

[0685] When a user arrives at the parking lot, the server uses a camera system to recognize the vehicle. The input is a camera image of the parking lot, which is then compared with registered vehicle data. As part of the data processing, image recognition technology is used to analyze the vehicle's number and characteristics, and a mechanism is executed to automatically control the gate. A specific action might be, "Vehicle recognition successful, open gate No. 5."

[0686] (Application Example 1)

[0687] 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".

[0688] Finding a parking space in urban areas is time-consuming and laborious, contributing to traffic congestion and increased environmental burden. Furthermore, the current lack of adequate safety and convenience for parked vehicles highlights the growing need for efficient and environmentally friendly parking management systems. Traditional parking management methods have not adequately addressed these challenges.

[0689] 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.

[0690] In this invention, the server includes means for collecting information in real time from detection devices within the parking area and analyzing availability, means for calculating and presenting variable pricing, and means for calculating and providing the optimal route to reduce environmental impact using eco mode. This enables users to efficiently find available parking spaces, complete reservations and payments online, and receive environmentally conscious route guidance.

[0691] A "parking area detection device" is a device that detects the parking status of a vehicle in real time and transmits the data to a server.

[0692] "A means of collecting information in real time and analyzing availability" refers to a method of processing collected information immediately and analyzing whether or not there are available parking spaces.

[0693] A "mobile unit" is a general term for objects that move within space, such as vehicles and other means of transportation.

[0694] "Means of utilizing information processing technology" refers to techniques that use data analysis and artificial intelligence algorithms to suggest the optimal parking location.

[0695] "Means of calculating and presenting variable pricing" refers to a method of dynamically setting and presenting fees to users based on the supply and demand for parking spaces.

[0696] "Eco mode" refers to operating methods and settings that reduce the environmental impact of the unit of transportation.

[0697] "Means of guiding users to the optimal route" refers to methods of presenting the best route so that users can reach their destination efficiently.

[0698] "Display means" refers to devices or apparatus used to provide visual information.

[0699] "Means for completing reservations and payments online" refers to a system that allows users to reserve parking spaces and pay for their use via the internet.

[0700] "Methods for managing user networks using an information sharing platform" refers to methods of controlling a network using a platform that allows multiple users to share information.

[0701] This invention is a system for streamlining parking management and consists of multiple components. The system mainly includes sensor devices, a server, and a user terminal. Embodiments are described in detail below.

[0702] The server collects data from detection devices installed within the parking area. This data includes real-time parking space usage. The server analyzes the received information to determine availability and applies an AI algorithm to generate the optimal parking location. AWS and Google Cloud are used for the hardware, and AWS Lambda and Google Cloud Functions can be used for real-time data processing. Big data analytics tools such as AWS QuickSight are used for analysis.

[0703] On the user's terminal, parking reservations and payments can be made through an application. Users can enter their current location and destination into the app, view the best parking spaces suggested by the server, and make a reservation. This significantly reduces the time spent finding available parking. For payment processing, it is conceivable to integrate electronic payment services such as PayPal and Stripe into a system that completes the process online.

[0704] An example of a prompt message might be: "Based on the following conditions, suggest the best parking space and route for the user to reach their destination in the city: Current location: Tokyo Station, Destination: Ginza Shopping Street, Desired arrival time: 2 PM, Parking duration: 3 hours, Budget: Under 1500 yen." By sending this prompt message to the server, the system can present the user with the most suitable parking solution.

[0705] The Eco Mode feature is designed to reduce the environmental impact of travel, guiding users along the optimal route in conjunction with the Google Maps API. This enables users to travel efficiently and in an environmentally conscious manner. For example, a user visiting a shopping mall on the weekend can reserve a parking space in advance through the app, avoiding congestion and arriving via the shortest route. This system is expected to reduce parking-related stress and contribute to smoother urban traffic.

[0706] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0707] Step 1:

[0708] The server collects real-time data from sensor devices installed within the parking area. It receives signal data from each sensor as input, obtaining data indicating whether a space is occupied or vacant. This updates the database with the latest parking space information.

[0709] Step 2:

[0710] The user enters their current location and destination into the application on their device. The entered location data is sent to the server, which then starts searching for parking information and the number of available spaces near the user's desired parking location.

[0711] Step 3:

[0712] The server uses information processing technology to analyze available parking spaces based on the received location data. As a preprocessing step, it references past availability and demand patterns using a big data analysis tool and calculates the optimal parking location using an AI algorithm. This result is then sent back to the user's terminal.

[0713] Step 4:

[0714] The server calculates dynamic pricing for the proposed parking location. It uses demand data, taking into account parking lot congestion and time of day, as input to calculate the fee. Then, it presents the user with available pricing plans on their device.

[0715] Step 5:

[0716] The user selects a suggested parking space and makes a reservation and payment online. The terminal sends the user's selection and payment information to the server as input, confirms the reservation, and sends a signal to reserve the corresponding parking space.

[0717] Step 6:

[0718] When a user heads to the parking lot at their specified arrival time, the device guides them along the optimal route. Route information is retrieved from the Google Maps API as input, providing route guidance in eco mode. This allows users to reach their destination while minimizing their environmental impact.

[0719] Step 7:

[0720] When a user arrives at the parking lot, the server processes visual data from the parking lot's video surveillance system to recognize registered vehicles. It analyzes the acquired video data, compares the vehicle's characteristics with its registration information, and automatically operates the parking gate. This ensures safe and quick parking.

[0721] 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.

[0722] This invention is a system that combines an emotion engine to optimize urban parking management. The system consists of sensor devices in the parking space, a server, a user terminal, and an emotion engine. This improves the quality of the parking experience and provides more personalized services based on the user's emotions.

[0723] First, the sensor device detects the availability of parking spaces in real time and sends this information to a server. The server analyzes this data and updates the parking space availability database. Meanwhile, the user uses a terminal to input their desired parking location and conditions, and also provides emotional information via voice or facial expression data.

[0724] Emotional information received by the device is analyzed by an emotion engine to determine the user's stress level and satisfaction level. Based on this information, the server uses an AI algorithm to suggest the most suitable parking location and fee for the user. This suggestion takes the user's emotional state into consideration and is adjusted according to the situation, prioritizing a more relaxing environment or quick access.

[0725] For example, if a user is experiencing stress, the system prioritizes displaying easily accessible locations with more spacious parking areas. Dynamic pricing further customizes the recommendations, balancing cost and convenience. Once a user selects a parking space and makes a reservation, that information is transmitted to the server via the terminal, securing the parking space.

[0726] Upon arrival, the server recognizes the vehicle via camera and verifies that it matches pre-registered information. In addition to route guidance in eco mode, it monitors user satisfaction while parked and collects feedback to continuously improve the service. This system comprehensively enhances the user experience and provides a better parking environment.

[0727] The following describes the processing flow.

[0728] Step 1:

[0729] The server acquires data in real time from sensor devices installed in each parking space and analyzes the availability of parking spaces. The analyzed information is updated in the server's database to maintain the latest status.

[0730] Step 2:

[0731] The user uses the device to input their destination and parking requirements. In addition, they use voice input via the microphone and transmit facial expression data via the camera. This allows the user's emotional state to be recorded on the device.

[0732] Step 3:

[0733] The device sends the collected user emotion data to the emotion engine. The emotion engine analyzes the data to determine the user's stress level and mood.

[0734] Step 4:

[0735] The server receives user input information and results from the emotion engine, and compares them with availability data. Using an artificial intelligence algorithm, it calculates the optimal parking location and fee based on the user's current emotional state.

[0736] Step 5:

[0737] The server sends information and fees for the most suitable parking location to the terminal. The terminal displays this information on its user interface, allowing the user to select a location.

[0738] Step 6:

[0739] The user checks the parking location and fee displayed via the terminal and makes a reservation. The terminal sends the reservation information to the server and instructs it to secure the parking space.

[0740] Step 7:

[0741] The device provides users with optimal route guidance in eco mode. The route takes traffic information into account to provide the shortest time or the least stressful route.

[0742] Step 8:

[0743] When a user arrives, the server recognizes the vehicle via a camera at the parking lot entrance and compares it with pre-registered vehicle information. Once authentication is complete, the parking lot gate opens.

[0744] Step 9:

[0745] The server uses security cameras in the parking lot to monitor and ensure user safety. If necessary, it utilizes an emotion engine to evaluate user satisfaction during use and collect data for future service improvements.

[0746] (Example 2)

[0747] 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".

[0748] The challenge lies in efficiently managing parking spaces in urban areas, where parking is limited, and improving the user parking experience. Conventional systems lack real-time availability information and adequately suggest parking locations that take user preferences into account, resulting in a lack of convenience. Furthermore, dynamic pricing and service improvements based on user feedback have been difficult.

[0749] 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.

[0750] In this invention, the server includes means for collecting information in real time from detection devices within the parking area and analyzing the availability status, means for receiving location information and request conditions from a user device and acquiring the user's emotional information, and means for performing artificial intelligence processing to propose the optimal parking location to the user based on the analyzed information and the user's emotional information. This enables the provision of a personalized parking experience that responds to the user's emotional state and efficient use of parking space.

[0751] A "parking area" refers to a designated space for temporarily parking a vehicle, and can consist of public or private locations.

[0752] A "detection device" is a device used to understand the situation within a parking area in real time, and may include sensors and cameras.

[0753] "Collecting information" refers to the process of taking in provided data, signals, etc., and converting them into an analyzable format.

[0754] "Analyzing availability" is the process of determining whether or not there are parking spaces available based on collected data.

[0755] "User equipment" refers to devices that are individually owned or used by a user, and are terminals used for communication and information input.

[0756] "Location information" refers to data that indicates a specific location, and usually includes longitude and latitude obtained from GPS or similar sources.

[0757] "Requirements" refer to the conditions and criteria that users desire when selecting a parking space.

[0758] "Emotional information" refers to data that indicates the user's emotional state, and is usually obtained through the analysis of voice and facial expressions.

[0759] "Artificial intelligence processing" refers to information processing performed by computers that mimic human intelligence, and includes technologies that enable them to make suggestions and predictions.

[0760] "Pricing" is the process of determining the monetary compensation for the provision of a service.

[0761] "Feedback" refers to evaluations and opinions from users regarding services and features, and is information that can be used to improve them.

[0762] This invention is a system for optimizing parking management in urban areas while improving the user parking experience. Its main components include a server, terminals, an emotion engine, and detection devices placed in the parking area.

[0763] The server receives real-time information from detection devices such as sensors and cameras installed within the parking area and continuously analyzes the availability status. This ensures that the server maintains an up-to-date database of parking space usage at all times.

[0764] The device receives location information and input conditions from the user, and collects emotional information such as voice and facial expressions. This information received by the device is analyzed by an emotion engine. The emotion engine employs speech recognition and image analysis technologies to evaluate the user's stress level and satisfaction level.

[0765] Based on these analysis results, the server uses artificial intelligence to suggest the optimal parking location and associated fees to the user. The AI ​​algorithm takes into account the collected emotional state of the user and makes suggestions tailored to individual needs, such as prioritizing ease of access and parking space size.

[0766] For example, if a user is behind schedule at work and experiencing high stress levels, the system will immediately suggest a spacious parking space that is easily accessible. It also offers dynamic pricing, providing flexible pricing options tailored to the user's priorities.

[0767] An example of a prompt for a generative AI model is: "Show how to design a system that integrates user sentiment information with real-time parking space availability so that the AI ​​can suggest the optimal parking location."

[0768] In this way, the present invention improves the parking experience while simultaneously increasing the efficiency of parking management in urban areas.

[0769] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0770] Step 1:

[0771] The server receives data in real time from sensors and cameras placed in the parking area. Sensors detect the status of available spaces, and cameras capture images of the surrounding environment. This data is analyzed to determine the availability of parking spaces. Inputs include sensor data and camera images, and the output generates the latest status of the parking space.

[0772] Step 2:

[0773] The user inputs conditions such as desired parking location and time via a terminal. Simultaneously, emotional information is provided to the terminal through voice input and facial expression analysis. Inputs include the user's location information, desired conditions, voice data, and facial expression data, and emotional information is generated and recorded as output.

[0774] Step 3:

[0775] The device transmits emotional information provided by the user to the emotion engine. The emotion engine uses speech recognition and image analysis technologies to evaluate the user's stress level and satisfaction level. Inputs include voice data and facial expression data, and the output generates detailed information about the user's emotional state.

[0776] Step 4:

[0777] The server processes availability data and user sentiment information using an AI algorithm. This processing allows the server to suggest the optimal parking location and fee for the user. The AI ​​takes into account the user's stress level and emotional state, prioritizing accessibility and parking space size in its suggestions. The input consists of availability data and sentiment information, and the output is the generation of optimal parking suggestions.

[0778] Step 5:

[0779] The user reviews the parking space suggestions from the server on the terminal screen and selects their desired parking space. Once the selection is complete, the terminal sends the selected information to the server. The user's selection information is the input, and reservation information is generated and recorded as output.

[0780] Step 6:

[0781] The server recognizes arriving vehicles using parking lot cameras and compares them with pre-registered vehicle information. This prevents fraudulent use. The input consists of camera footage and vehicle information, and the output is an authentication result.

[0782] Step 7:

[0783] After a user completes parking, they can provide feedback on the service through a terminal. The server collects this feedback and uses it to improve the service in the future. The input is user feedback, and the output is recorded as part of the improvement plan.

[0784] (Application Example 2)

[0785] 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".

[0786] As the demand for parking increases in urban areas, it is becoming difficult for users to efficiently find parking spaces. This is leading to increased stress and frustration, and a decline in satisfaction. In this situation, the current display of parking locations and pricing does not take user feelings into consideration, and there is a need to provide a personalized parking experience. Furthermore, incorporating dynamic pricing and environmental considerations is a challenge.

[0787] 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.

[0788] In this invention, the server includes means for collecting information in real time from detection devices in the parking space and analyzing the availability; means for receiving user requests by inputting the current location and purpose of the moving object; and means for utilizing an intelligent algorithm to present the user with the optimal parking location based on the analyzed information and the user's emotional information. This provides a personalized parking experience that takes the user's emotions into account, enabling efficient and stress-free parking.

[0789] A "detection device" is a device that detects the conditions within a parking space in real time and collects information.

[0790] "User requests" refer to information indicating parking needs based on the current location and destination of the moving object.

[0791] An "intelligent algorithm" is a computational method for calculating a personalized parking location based on analyzed information and user sentiment information.

[0792] "Dynamic pricing" is a function that adjusts parking fees according to usage and other conditions.

[0793] "Emotional information" refers to data that indicates the emotional state of users, such as their stress levels and satisfaction levels.

[0794] A "personalized parking experience" refers to the provision of parking services that are customized based on the individual user's feelings and needs.

[0795] "Sustainable mode" refers to an operating method that calculates the optimal route and reduces the environmental impact.

[0796] "Protective monitoring" refers to monitoring activities aimed at ensuring the safety of parking spaces.

[0797] This specification describes specific embodiments for constructing a parking management system and optimizing the parking experience in urban areas.

[0798] The sensor device functions as a real-time monitoring device installed within the parking space, continuously detecting the availability of parking spaces. This information is transmitted to a server and updated as a status database.

[0799] Users can use their devices to input the current location and destination of their mobile objects, thereby transmitting their requests to the server. In addition, the user's device is equipped with a camera and microphone, which collect emotional information from facial expressions and voice, and transmit this information to the server. This emotional information is analyzed by an intelligent algorithm to determine the user's emotional state, such as stress levels and satisfaction.

[0800] The server uses an intelligent algorithm to calculate the optimal parking location for the user based on received sentiment information and real-time data on parking spaces. Dynamic pricing is also taken into consideration, ensuring that the user is offered the most suitable parking fee.

[0801] Once a user selects and reserves a parking space, the server secures the space for recognition of the moving vehicle and confirms its arrival. Furthermore, the server utilizes a guidance module with sustainable mode to provide the user with the optimal route. This aims to reduce environmental impact.

[0802] For example, if a user who has launched the app is in a hurry when visiting a shopping mall with their family on the weekend, and the app senses stress on their face, it will recommend a spacious parking space that is easily accessible and set an appropriate price.

[0803] An example of a prompt message might be: "Have you ever felt congestion or stress when parking in urban areas? Why not try an app that senses this from your facial expressions and voice and suggests parking spaces that minimize stress?"

[0804] This embodiment aims to provide users with a consistent and personalized parking experience and improve parking efficiency in urban areas.

[0805] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0806] Step 1:

[0807] A sensor device detects the availability of parking spaces and transmits this information to a server. The server analyzes this information and updates the availability database. The input is the detected parking space data, and the output is the updated availability data. This data is used to monitor the status of parking spaces in real time.

[0808] Step 2:

[0809] The user uses a terminal to input the vehicle's current location and destination. The terminal sends the input information to the server and receives the user's request. At this stage, the input is the current location and destination information, and the output is the request data sent to the server. This identifies the user's specific parking needs.

[0810] Step 3:

[0811] The user's device uses its camera and microphone to collect emotional information from the user's facial expressions and voice, and sends this information to the server. It takes facial expression data and voice data as input and generates the results of emotional analysis as output. The emotional analysis is performed using a generative AI model to evaluate the user's stress level and satisfaction level.

[0812] Step 4:

[0813] The server executes an intelligent algorithm based on received sentiment information and availability data to calculate the optimal parking location for the user. The input is user sentiment information and parking space data, and the output is a suggestion for the optimal parking location. This calculation also includes dynamic pricing to provide the best possible conditions for the user.

[0814] Step 5:

[0815] The user selects and reserves a parking space on their device. This information is sent to the server, which then secures the parking space. The input is the user's selection information, and the output is information about the reserved parking space. The server secures the reserved space and prepares data for recognition upon arrival.

[0816] Step 6:

[0817] The server calculates the optimal route to the parking location and provides directions to the terminal. It utilizes sustainable mode to provide environmentally conscious route guidance. Input is the current location and destination data, and output is optimal route information. Navigation data is displayed on the terminal to guide the user.

[0818] Step 7:

[0819] After parking is complete, the server requests feedback from the user. The collected feedback is used to continuously improve the service. The input is user feedback, and the output is data for improvement. This improves the user experience of the system.

[0820] 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.

[0821] 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.

[0822] 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.

[0823] 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.

[0824] 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.

[0825] 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.

[0826] 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.

[0827] 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.

[0828] 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."

[0829] 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.

[0830] 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.

[0831] 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.

[0832] 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.

[0833] 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.

[0834] 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.

[0835] 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.

[0836] 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.

[0837] 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.

[0838] 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.

[0839] 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.

[0840] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0841] The following is further disclosed regarding the embodiments described above.

[0842] (Claim 1)

[0843] A means of collecting data in real time from sensor devices within a parking space and analyzing its availability,

[0844] A means for receiving user requests by inputting the current location and destination of a moving object,

[0845] A means for utilizing an artificial intelligence algorithm to suggest the optimal parking location to the user based on the analyzed data,

[0846] A means of calculating and presenting dynamic pricing,

[0847] A means to enable users to make reservations,

[0848] Means for securing parking spaces based on the aforementioned reservation,

[0849] A means for recognizing the arriving mobile object and comparing it with an approved mobile object,

[0850] A system including means for guiding the user along the optimal path.

[0851] (Claim 2)

[0852] The system according to claim 1, which calculates the optimal route and is equipped with an eco mode to reduce environmental impact.

[0853] (Claim 3)

[0854] The system according to claim 1, comprising means for performing security monitoring in order to ensure the safety of the parking space.

[0855] "Example 1"

[0856] (Claim 1)

[0857] A means of aggregating information in real time from data acquisition devices and analyzing availability,

[0858] A means of receiving a user's request by inputting the current location and target location on a mobile device,

[0859] A means for utilizing a computational model to propose the optimal parking location for the user based on the analyzed information,

[0860] A method for dynamically setting and displaying prices according to the time of day and level of congestion,

[0861] A means to enable users to make reservations in advance,

[0862] Means for securing a parking space based on the aforementioned reservation,

[0863] A means for identifying the arriving vehicle and matching it with the registered vehicle,

[0864] Means for providing the shortest path,

[0865] A system including means for automatically controlling entrances and exits by identification.

[0866] (Claim 2)

[0867] The system according to claim 1, which provides the shortest path and includes an energy-saving mode to reduce environmental impact.

[0868] (Claim 3)

[0869] The system according to claim 1, comprising means for providing a monitoring function to maintain the safety of a parking area.

[0870] "Application Example 1"

[0871] (Claim 1)

[0872] A means of collecting information in real time from detection devices within the parking area and analyzing the availability status,

[0873] A means for receiving user requests by inputting the current location and destination of the unit of movement,

[0874] A means for utilizing information processing technology to present the optimal parking location to the user based on the analyzed information,

[0875] A means of calculating and presenting variable pricing,

[0876] A means to enable users to make reservations,

[0877] Means for securing a parking space based on the aforementioned reservation,

[0878] A means for recognizing the arrived unit of movement and comparing it with an approved unit of movement,

[0879] A means of guiding the optimal path,

[0880] A means of guiding a unit of movement to the optimal route while considering environmental impact,

[0881] A display means for visualizing nearby parking areas,

[0882] Means for completing reservations and payments online,

[0883] A system that includes means for managing a user network using an information sharing platform.

[0884] (Claim 2)

[0885] The system according to claim 1, which calculates and provides the optimal route for reducing environmental impact using eco mode.

[0886] (Claim 3)

[0887] The system according to claim 1, comprising means for ensuring the safety of the parking area and for monitoring using an information collection terminal.

[0888] "Example 2 of combining an emotion engine"

[0889] (Claim 1)

[0890] A means of collecting information in real time from detection devices within the parking area and analyzing the availability status,

[0891] A means for receiving location information and request conditions from a user device and acquiring the user's emotional information,

[0892] A means for performing artificial intelligence processing to propose the optimal parking location to the user based on the analyzed information and the user's emotional information,

[0893] A method for setting and presenting dynamic pricing,

[0894] A means to enable users to make reservations,

[0895] Means for securing a parking space based on the aforementioned reservation,

[0896] A means for recognizing the arriving mobile object and comparing it with registered mobile object information,

[0897] A system that guides users along the optimal route and includes means for collecting feedback to evaluate user satisfaction.

[0898] (Claim 2)

[0899] The system according to claim 1, comprising an eco-mode for calculating the optimal route and reducing environmental impact.

[0900] (Claim 3)

[0901] The system according to claim 1, comprising means for implementing a monitoring function to ensure security in a parking area.

[0902] "Application example 2 when combining with an emotional engine"

[0903] (Claim 1)

[0904] A means of collecting information in real time from detection devices within a parking space and analyzing its availability,

[0905] A means for receiving user requests by inputting the current location and purpose of a moving object,

[0906] A means for utilizing an intelligent algorithm to suggest the optimal parking location to the user based on the analyzed information and the user's emotional information,

[0907] A means of calculating and presenting dynamic pricing,

[0908] A means to enable users to make reservations,

[0909] Means for securing parking spaces based on the aforementioned reservation,

[0910] A means for recognizing the arriving mobile object and comparing it with an approved mobile object,

[0911] A means of guiding the user along the optimal route, detecting the user's emotional state through movement, and collecting feedback,

[0912] A system that includes this.

[0913] (Claim 2)

[0914] The system according to claim 1, which includes a sustainable mode for calculating the optimal route and reducing environmental impact.

[0915] (Claim 3)

[0916] The system according to claim 1, comprising means for protective monitoring to ensure the safety of the parking space. [Explanation of Symbols]

[0917] 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

1. A means of collecting information in real time from detection devices within the parking area and analyzing the availability status, A means for receiving user requests by inputting the current location and destination of the unit of movement, A means for utilizing information processing technology to present the optimal parking location to the user based on the analyzed information, A means of calculating and presenting variable pricing, A means to enable users to make reservations, Means for securing a parking space based on the aforementioned reservation, A means for recognizing the arrived unit of movement and comparing it with an approved unit of movement, A means of guiding the optimal path, A means of guiding a unit of movement to the optimal route while considering environmental impact, A display means for visualizing nearby parking areas, Means for completing reservations and payments online, A system that includes means for managing a user network using an information sharing platform.

2. The system according to claim 1, which calculates and provides the optimal route for reducing environmental impact using eco mode.

3. The system according to claim 1, comprising means for ensuring the safety of the parking area and for monitoring using an information collection terminal.

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