System

Abstract

A system is provided.SOLUTION: A means for scanning a document with a user terminal and converting the document into text data by optical character recognition, a means for transmitting the generated text data to a server, a means for using an artificial intelligence model to summarize the text data received by the server, a means for transmitting the summarized text to the user terminal, a means for displaying the summarized text on the user terminal, a means for receiving an additional question from the user, a means for transmitting the question to the server, a means for analyzing the question and generating an answer in the server, a means for transmitting and displaying the generated answer to the user terminal, and a means for storing the summary, the question, and the answer in cloud storage; A system comprising: SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Current terms and contracts are often long and difficult to understand, making it time-consuming for users to understand them and difficult to find the information they need. Furthermore, companies often do not fully understand all of their terms, leading to unfavorable contracts for users due to malicious terms. This system solves these problems and provides a means for users to accurately understand the contents of contracts. [Means for solving the problem]

[0005] The system provides a means for scanning a document on a user terminal and converting it into text data using optical character recognition, and a means for transmitting the generated text data to a server. It also includes a means for using an artificial intelligence model to summarize the text data received by the server, and a means for transmitting the summarized text to the user terminal. It also provides a means for displaying the summarized text on the user terminal, and a means for accepting additional questions from the user. The system also provides a means for transmitting the question to a server, analyzing the question on the server and generating an answer, transmitting the generated answer to the user terminal and displaying it, and storing the summary, question, and answer in cloud storage. This allows users to accurately understand the contents of the contract and quickly resolve any questions they may have.

[0006] A "user terminal" is a computer device that is operated by a user to perform scanning, displaying, inputting, and the like.

[0007] "Optical character recognition" is a technology that extracts character data from an image and converts it into text data.

[0008] "Text data" is digital data of character information generated by optical character recognition.

[0009] A "server" is a computer system that sends, receives, and processes data over a network.

[0010] An "artificial intelligence model" is a software model that uses machine learning and natural language processing techniques to analyze data and generate summaries and answers.

[0011] "Cloud storage" is an online storage service for storing data via the Internet.

[0012] A "summary" is a text that briefly summarizes the main information extracted from the original text data.

[0013] A "follow-up question" is a question that a user enters to clarify or seek further information about the content of the summarized text.

[0014] An "answer" is an explanation or piece of information that an artificial intelligence model generates in response to a follow-up question.

[0015] "Scanning" is the act of capturing a physical document, such as a piece of paper, as a digital image. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 1, a 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.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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.

[0030] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process 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.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the products a user purchases, and communicates them to the user in an easy-to-understand manner. A specific embodiment of this system will be described below.

[0038] User device operation

[0039] 1. Scanning and OCR

[0040] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[0041] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[0042] The terminal temporarily stores the converted text data and transmits it to the server.

[0043] 2. Summarizing the Regulation Text

[0044] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[0045] The server returns the generated summary in text form to the user terminal.

[0046] 3. Presenting a summary and answering follow-up questions

[0047] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0048] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[0049] The terminal sends a question to the server.

[0050] The server inputs the question into the AI ​​model and generates an answer. For example, it might say, "Your data plan is free up to 10GB per month. After that, additional charges are 500 yen per GB."

[0051] The server generates a response and sends it back to the terminal.

[0052] The terminal displays the received answer to the user.

[0053] 4. Data saving and review function

[0054] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[0055] Cloud servers store your data securely and make it accessible when you need it.

[0056] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[0057] Specific examples

[0058] Scenario: A user signs up for a new mobile phone contract.

[0059] 1. User device: The user scans the contract on their mobile phone.

[0060] The contract is photographed with a camera and converted into text data using OCR technology.

[0061] The terminal transmits the converted text data to the server.

[0062] 2. Server: Inputs the received text data into the AI ​​summarization model.

[0063] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[0064] The summary is sent back to the user's terminal.

[0065] 3. Terminal: displays the received summary to the user.

[0066] Specifically, it will display "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0067] 4. User: Review the summary and enter any questions.

[0068] For example, type "What's my data plan?"

[0069] 5. Terminal: Sends the question to the server.

[0070] The server inputs questions into the AI, which generates answers.

[0071] 6. Server: "The data plan is free up to 10GB per month. After that, it costs 500 yen per GB."

[0072] The answer is sent back to the device.

[0073] 7. Terminal: Displays the received answer to the user.

[0074] 8. Device: Save summaries and questions / answers in the cloud.

[0075] Allow the user to revisit later.

[0076] This system allows users to quickly understand complex terms and conditions, avoid missing important information, and enter into contracts with confidence. It also improves user convenience by providing a means to quickly resolve any questions.

[0077] The processing flow will be explained below.

[0078] Step 1:

[0079] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[0080] Step 2:

[0081] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[0082] Step 3:

[0083] The terminal temporarily stores the converted text data.

[0084] Step 4:

[0085] The terminal transmits the stored text data to the server.

[0086] Step 5:

[0087] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[0088] Step 6:

[0089] The server returns the generated summary in text form to the terminal.

[0090] Step 7:

[0091] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0092] Step 8:

[0093] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[0094] Step 9:

[0095] The terminal sends a question to the server.

[0096] Step 10:

[0097] The server inputs the question into the AI ​​model, which analyzes the question and generates an answer.

[0098] Step 11:

[0099] The server generates a response and sends it back to the terminal.

[0100] Step 12:

[0101] The terminal displays the received answer to the user.

[0102] Step 13:

[0103] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[0104] Step 14:

[0105] Cloud servers store your data securely and make it accessible when you need it.

[0106] Step 15:

[0107] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[0108] Example 1

[0109] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0110] Conventional contracts and regulations are complex and difficult for users to carefully review. This can lead to important information being overlooked or misunderstood. Furthermore, when users have questions about the contract, there are limited ways to quickly resolve them. Given this background, there is a demand for a system that allows users to easily understand the contract and quickly resolve any questions.

[0111] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0112] In this invention, the server includes means for receiving text data converted by OCR, means for summarizing the text data using an AI summarization model, means for transmitting the summarized text to a user terminal, means for accepting and analyzing follow-up questions from the user and generating answers, means for transmitting the generated answers to the user terminal and displaying them, and means for saving the summaries, questions, and answers in cloud storage, thereby enabling users to concisely understand the contents of the document, avoid missing important information, and quickly resolve any questions.

[0113] A "user terminal" refers to a computer system or part of a computer system that can be directly operated by a user, and specifically includes a smartphone, a tablet terminal, or a personal computer.

[0114] "Scanning" refers to the process of reading physical information such as documents or images as digital data, and is often done using the camera function built into the user's device.

[0115] "Optical character recognition (OCR)" refers to a technology that extracts character information from image data and converts it into text data.

[0116] "Text data" refers to data that represents letters and symbols in digital form, and is converted from image data using OCR or other methods.

[0117] A "server" refers to a computer system that communicates with other computer systems via a network and processes and stores data.

[0118] An "artificial intelligence model" refers to an algorithm that performs advanced analysis and predictions based on large amounts of data, and in this context is used specifically to summarize text data.

[0119] A "summary" refers to a document that extracts important information from long text data and summarizes it concisely.

[0120] "Cloud storage" refers to a remote server storage service that allows data to be stored and accessed over the Internet.

[0121] "Question" refers to text entered by a user through the system to resolve a question or uncertainty.

[0122] "Answer" refers to text containing a solution or information generated by the system in response to an input question.

[0123] "Preservation" refers to the act of storing digital data for a long period of time and making it accessible at a later date.

[0124] "Redisplay" refers to the act of displaying previously saved data on the screen again.

[0125] This invention is a system in which an artificial intelligence (AI) model summarizes the terms and conditions of a service or product a user purchases and communicates them to the user in an easy-to-understand manner. Detailed embodiments of the invention are described below.

[0126] Document scanning and OCR

[0127] The user launches a dedicated app and uses the app's camera function to scan a contract or agreement document. For example, the user uses a smartphone, tablet, or other device. The device passes the captured image to an OCR (optical character recognition) module, which analyzes the image using a tool such as Tesseract OCR and converts it into text data. The converted text data is temporarily stored on the device and then sent to a server.

[0128] Summarization of the regulation text

[0129] The server inputs the received text data into an AI summarization model, using natural language processing techniques such as OpenAI's GPT-3 model. The AI ​​summarization model analyzes the text data, extracts important information, and generates a summary. The generated summary is then sent from the server to the user's device.

[0130] Presenting a summary and answering follow-up questions

[0131] The user terminal displays the received summary to the user. Specifically, information such as "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if the contract is cancelled during the contract period" is displayed. After checking the summary, the user can enter any questions or additional information. For example, the user can enter a question such as "What is the data plan?" The terminal then sends the entered question to the server.

[0132] The server inputs the received question into the AI ​​model and generates an appropriate answer to the question. An example of an answer would be, "Data plans are free up to 10GB per month, after which an additional charge of 500 yen per GB will be generated." The generated answer is sent from the server to the user's device and displayed to the user.

[0133] Data saving and review function

[0134] The user device uploads the summarized terms and conditions and the user's questions and answers to a cloud storage service, such as Amazon Web Services (AWS) S3 or Google Cloud Storage. The cloud server securely stores the data, and the user can retrieve and view the stored data through the app if they wish to review it.

[0135] Specific examples

[0136] Scenario: A user signs up for a new mobile phone contract.

[0137] 1. User device: The user scans the contract on their mobile phone, taking a picture of it with their camera, converting it into text data using OCR technology, and sending it to the server.

[0138] 2. Server: Inputs the received text data into the AI ​​summarization model, extracts important information, generates a summary, and sends it back to the user device.

[0139] 3. Device: The received summary is displayed to the user, who can review the summary and enter any questions they may have, such as "What's my data plan?"

[0140] 4. Server: The question is input into the AI ​​model, and an answer is generated: "The data plan is free up to 10GB per month. After that, an additional charge of 500 yen per GB will be applied." This is then sent back to the device.

[0141] 5. Terminal: Displays the received answer to the user.

[0142] 6. On the device: The summary and questions and answers are stored in the cloud so that users can review them later.

[0143] Prompt Sentence Examples

[0144] Below are some example prompts to input to a generative AI model:

[0145] "Please summarize this contract. Please extract the key clauses and important information and summarize it concisely."

[0146] Please tell me about the penalty for breaking this agreement.

[0147] "Please tell me the details of this data plan."

[0148] This allows users to quickly understand the complex terms and conditions, avoid missing important information, and enter into contracts with confidence. It also improves user convenience by providing a means to quickly resolve any questions.

[0149] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0150] Step 1:

[0151] The user opens the dedicated app and activates the camera function.

[0152] Input: User action to activate the camera

[0153] Operation: The user terminal starts the camera and prepares to take a picture of a document.

[0154] Output: Camera is activated

[0155] Step 2:

[0156] The user takes a photo of a document such as a contract or agreement with a camera.

[0157] Input: User takes a photo of a document with the camera

[0158] Operation: The user device takes a picture of a document with its camera and generates image data.

[0159] Output: Captured image data

[0160] Step 3:

[0161] The device passes the captured image to the OCR module.

[0162] Input: Photographed image data

[0163] How it works: The device transfers image data to the OCR module, which begins analyzing the image using software such as Tesseract OCR.

[0164] Output: Image data transferred to the OCR module

[0165] Step 4:

[0166] The OCR module analyzes the image and converts it into text data.

[0167] Input: Image data transferred to the OCR module

[0168] How it works: The OCR module recognizes characters from an image and converts them into text data. It also performs image preprocessing such as automatic brightness adjustment and noise reduction.

[0169] Output: Generated text data

[0170] Step 5:

[0171] The terminal temporarily stores the converted text data and transmits it to the server.

[0172] Input: Generated text data

[0173] How it works: The device temporarily stores the text data and then sends it to the server, using data compression techniques (e.g., GZIP) to optimize communication speed.

[0174] Output: Text data sent to the server

[0175] Step 6:

[0176] The server inputs the received text data into an AI summarization model.

[0177] Input: Text data sent to the server

[0178] How it works: The server inputs text data into an AI summarization model (e.g., OpenAI GPT-3).

[0179] Output: Text data sent to the AI ​​summarization model

[0180] Step 7:

[0181] An AI summarization model analyzes the text data and generates a summary.

[0182] Input: Text data sent to the AI ​​summarization model

[0183] How it works: The AI ​​summarization model uses natural language processing techniques to extract key information from a text and generate a summary.

[0184] Output: Generated summary text

[0185] Step 8:

[0186] The server returns the generated summary to the user terminal.

[0187] Input: Generated summary text

[0188] How it works: The server sends the summary text back to the user's device. It uses data encryption and TLS (Transmission Layer Security) to send the data securely.

[0189] Output: Summary text sent to the user's terminal

[0190] Step 9:

[0191] The terminal displays the received summary to the user.

[0192] Input: Summary text sent to the user terminal

[0193] Action: The terminal displays the summary text to the user.

[0194] Output: Summary text displayed to the user

[0195] Step 10:

[0196] The user reviews the summary and enters any questions or concerns.

[0197] Input: The user checks the summary text and enters any questions or additional information.

[0198] How it works: The user reviews the summary and then texts in any follow-up questions. Voice input and chatbot interfaces are also available.

[0199] Output: Additional questions entered on the user's terminal

[0200] Step 11:

[0201] The terminal sends a question to the server.

[0202] Input: Additional questions entered into the user's terminal

[0203] How it works: The device sends a query to the server, which uses encryption to ensure data integrity and security.

[0204] Output: The question sent to the server

[0205] Step 12:

[0206] The server inputs the question into the AI ​​model and generates an answer.

[0207] Input: The question sent to the server

[0208] How it works: The server inputs a question into the AI ​​model, which uses contextual understanding to generate an answer.

[0209] Output: Generated answer text

[0210] Step 13:

[0211] The server generates a response and sends it back to the terminal.

[0212] Input: Generated answer text

[0213] Operation: The server returns the answer text to the user terminal.

[0214] Output: Answer text sent to the terminal

[0215] Step 14:

[0216] The terminal displays the received answer to the user.

[0217] Input: Answer text sent to the terminal

[0218] Action: The terminal displays the answer text to the user, resolving the question.

[0219] Output: The answer text displayed to the user

[0220] Step 15:

[0221] The device uploads the summary and questions and answers to a cloud storage service.

[0222] Input: Summary text, Question and Answer text

[0223] How it works: The device uploads this data to cloud storage, encrypting the data and controlling access.

[0224] Output: Data stored in cloud storage

[0225] Step 16:

[0226] A cloud server stores the data and provides access if the user wants to review it.

[0227] Input: Data stored in cloud storage

[0228] How it works: Cloud servers store your data securely and make it accessible to you when you need it.

[0229] Output: Stored data that can be accessed when needed

[0230] This allows users to quickly understand complex contract details, avoid missing important information, and conclude contracts with confidence. It also improves user convenience by providing a means to quickly resolve any questions.

[0231] (Application example 1)

[0232] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0233] The contents of conventional contracts and regulations are very complicated, and many users often miss important information. It is also difficult to get a quick answer to a question of interest. Furthermore, there are limited ways to reconfirm the information obtained, which often reduces user convenience.

[0234] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0235] In this invention, the server includes means for generating answers in real time using a generative AI model to specific questions about the terms and conditions or contract contents, means for saving the provided answers and summaries in cloud storage so that the summaries and answers can be reviewed later, and means for asking questions about the terms and conditions or contract contents to the generative AI model on a user terminal and receiving the answers. This allows users to quickly understand the complex terms and conditions, conclude a contract without missing any important information, and further allows users to resolve any questions in real time, greatly improving user convenience.

[0236] A "user terminal" is a device used by a user, such as a smartphone or tablet, that has a camera function and an Internet connection function.

[0237] "Scanning" is the act of capturing a physical document as a digital image using a camera or scanner.

[0238] "Optical character recognition" is a technology for extracting character data from an image, and is an abbreviation for OCR (Optical Character Recognition).

[0239] "Text data" is data in a digital format that represents information such as letters and symbols.

[0240] A "server" is a computer system that processes, stores, and distributes data over a network.

[0241] An "artificial intelligence model" is an algorithm or system that uses AI technology to analyze data and generate summaries or answers.

[0242] A "generative AI model" is an AI technology that generates summaries of text and answers to questions, particularly based on natural language processing.

[0243] A "summary" is a shortened summary of the main information in the text data.

[0244] A "question" is an inquiry seeking specific information.

[0245] To "generate" means to create new data or results based on specific inputs.

[0246] "Cloud storage" is an online storage service that allows you to store, manage, and back up data over the Internet.

[0247] "Reconfirmation" is the act of reconfirming previously obtained information.

[0248] "Real time" means that data processing and responses are performed immediately, and a response can be made instantly to user operations.

[0249] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the products a user purchases, and communicates them to the user in an easy-to-understand manner. The following describes the specific configuration of this system.

[0250] System Overview

[0251] This system processes and stores various data using user devices (such as smartphones), servers, and cloud storage services. Users can easily understand complex contracts and regulations by using a dedicated application installed on their device.

[0252] Hardware and software used

[0253] User device: A smartphone or tablet with a camera function.

[0254] OCR module: Optical character recognition software, such as Tesseract, installed on the device.

[0255] Generative AI models: Algorithms such as OpenAI GPT-3 that use natural language processing to generate summaries and answer questions.

[0256] Cloud storage: Online data storage services such as Google Cloud Storage.

[0257] Processing flow

[0258] 1. Scanning and OCR

[0259] The user opens the dedicated app, activates the camera function, and takes a picture of a document (e.g., a contract or agreement) with the camera.

[0260] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[0261] The terminal temporarily stores the converted text data and transmits it to the server.

[0262] 2. Summarizing the Regulation Text

[0263] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[0264] The server returns the generated summary in text form to the user terminal.

[0265] 3. Presenting a summary and answering follow-up questions

[0266] The terminal displays the received summary to the user. For example, it is displayed as follows:

[0267] "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0268] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[0269] The terminal sends a question to the server.

[0270] The server inputs the question into the AI ​​model and generates an answer. For example, it is generated as follows:

[0271] "Data plans are free up to 10GB per month, after which additional charges are 500 yen per GB."

[0272] The server generates a response and sends it back to the terminal.

[0273] The terminal displays the received answer to the user.

[0274] 4. Data saving and review function

[0275] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[0276] Cloud servers store your data securely and make it accessible when you need it.

[0277] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[0278] Specific examples

[0279] Scenario: A user signs up for a new electronic payment service.

[0280] 1. User Device:

[0281] The user scans an electronic payment contract, which is then photographed with a camera and converted into text data using OCR technology.

[0282] The terminal transmits the converted text data to the server.

[0283] 2. Server:

[0284] The received text data is input into an AI summarization model.

[0285] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[0286] The summary is sent back to the user's terminal.

[0287] 3. Terminal:

[0288] The received summary is displayed to the user in a format such as "Monthly fee is 5,000 yen, contract period is two years, penalty fee is 10,000 yen if cancellation occurs during the contract period."

[0289] 4. User:

[0290] Check the summary and enter any questions you have. Enter "What's my data plan?"

[0291] 5. Server:

[0292] The question is input into the AI ​​model, and an answer is generated: "Your data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be generated."

[0293] 6. Terminal:

[0294] The received response is displayed to the user.

[0295] 7. Save:

[0296] Save summaries and questions and answers to the cloud so users can review them later.

[0297] Prompt Sentence Examples

[0298] Summarize the following text:

[0299] Contract period: 2 years

[0300] Monthly fee: 5,000 yen

[0301] Penalty: 10,000 yen

[0302] Data plan: Free up to 10GB per month, then 500 yen per GB

[0303] summary:

[0304] The above is a description of the mode for carrying out the invention. This system allows users to quickly understand the complex contents of a contract and conclude the contract without missing any important information. It also provides a means for quickly resolving any questions, improving user convenience.

[0305] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0306] Step 1:

[0307] The user opens the dedicated app and activates the camera function. The user uses the camera to take a picture of a document such as a contract or agreement. The captured image is imported into the device as input data. The device passes the image to the OCR module, which analyzes the image and converts it into text data. The converted text data is output to the device and temporarily saved.

[0308] Step 2:

[0309] The terminal sends the converted text data to the server, which then receives the text data as input data and stores it for further processing.

[0310] Step 3:

[0311] The server passes the received text data to the AI ​​summarization model, which analyzes the text data, extracts important information, and generates a summary. The summarized text data is then output to the server.

[0312] Step 4:

[0313] The server returns the generated summary in text format to the user's terminal. The terminal takes the received summary as input data and displays it in a format that is easy for the user to understand. For example, it may display "Monthly fee is 5,000 yen, contract period is two years, penalty fee is 10,000 yen if cancellation occurs during the contract period."

[0314] Step 5:

[0315] The user reviews the summary and enters a follow-up question into the app, such as "What's my data plan?" The user's input is captured as input data on the device.

[0316] Step 6:

[0317] The device sends the user's question to the server. The server takes the received question as input data and inputs it into the AI ​​model. The AI ​​model analyzes the question and generates an appropriate answer. For example, it outputs "Data plan is free up to 10GB per month. After that, additional charges are 500 yen per GB."

[0318] Step 7:

[0319] The server returns the generated answer to the user terminal, which takes the received answer as input data and displays it to the user.

[0320] Step 8:

[0321] The device uploads the summarized terms and conditions, along with the user's questions and answers, to a cloud storage service. The cloud server securely stores the data and makes it accessible when needed. If the user wants to review it, they can operate the app to retrieve the stored data from the cloud and display it.

[0322] The above are the specific processing steps for implementing the invention. This system allows users to quickly understand complex contract contents and conclude contracts without missing important information. It also provides a means to quickly resolve any questions, improving user convenience.

[0323] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0324] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the contract details of the products they purchase, and communicates this information to the user in an easy-to-understand manner, and it also combines an emotion engine that recognizes the user's emotions. A specific embodiment of this system will be described below.

[0325] User device operation

[0326] 1. Scanning and OCR

[0327] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[0328] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[0329] The terminal temporarily stores the converted text data and transmits it to the server.

[0330] 2. Summarizing the Regulation Text

[0331] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[0332] The server returns the generated summary in text form to the user terminal.

[0333] 3. Summary Presentation and Emotion Recognition

[0334] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0335] The device activates an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[0336] 4. Handling additional questions

[0337] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[0338] The terminal sends the question to the server and also sends the user's emotion data at the same time.

[0339] The server inputs the question into the AI ​​model, which analyzes the question and generates an answer.

[0340] 5. Adjust based on responses and emotions

[0341] The server returns the generated answer to the user terminal.

[0342] The device displays the received answer to the user, and if necessary, adjusts the answer based on the recognized user emotion.

[0343] 6. Data saving and review function

[0344] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[0345] Cloud servers store your data securely and make it accessible when you need it.

[0346] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[0347] Specific examples

[0348] Scenario: A user signs up for a new mobile phone contract.

[0349] 1. User device: The user scans the contract on their mobile phone.

[0350] The contract is photographed with a camera and converted into text data using OCR technology.

[0351] The terminal transmits the converted text data to the server.

[0352] 2. Server: Inputs the received text data into the AI ​​summarization model.

[0353] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[0354] The summary is sent back to the user's terminal.

[0355] 3. Terminal: displays the received summary to the user.

[0356] Specifically, it will display "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0357] At the same time, an emotion engine is activated to recognize the user's emotions using facial expressions and voice.

[0358] 4. User: Review the summary and enter any questions.

[0359] For example, type "What's my data plan?"

[0360] Emotion data is also sent to the server along with the question.

[0361] 5. Server: Inputs questions into the AI ​​model and generates answers.

[0362] "The data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be applied," he replied.

[0363] The answer is adjusted based on the user's emotional data and sent back to the terminal.

[0364] 6. Terminal: Displays the received answer to the user.

[0365] Adjust the display method and content depending on the emotion.

[0366] 7. Device: Save summaries and questions / answers in the cloud.

[0367] Allow the user to revisit later.

[0368] This system not only makes it easier for users to understand the terms and conditions, but also provides information that responds to changes in emotions, thereby improving user convenience and satisfaction.

[0369] The processing flow will be explained below.

[0370] Step 1:

[0371] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[0372] Step 2:

[0373] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[0374] Step 3:

[0375] The terminal temporarily stores the converted text data.

[0376] Step 4:

[0377] The terminal transmits the stored text data to the server.

[0378] Step 5:

[0379] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[0380] Step 6:

[0381] The server returns the generated summary in text form to the terminal.

[0382] Step 7:

[0383] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0384] Step 8:

[0385] The device activates an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[0386] Step 9:

[0387] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[0388] Step 10:

[0389] The device sends the question and the user's emotion data to the server.

[0390] Step 11:

[0391] The server inputs the question into the AI ​​model, which analyzes the question and generates an answer.

[0392] Step 12:

[0393] The server adjusts the generated answer based on the user's emotion data and returns it to the user terminal.

[0394] Step 13:

[0395] The device displays the received response to the user, adjusting the display method and content depending on the user's emotion.

[0396] Step 14:

[0397] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[0398] Step 15:

[0399] Cloud servers store your data securely and make it accessible when you need it.

[0400] Step 16:

[0401] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[0402] Example 2

[0403] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0404] Conventional document processing systems require users to spend a lot of time and effort to understand complex documents such as contracts and regulations. Furthermore, these systems lack the ability to recognize users' emotions, making it difficult to provide appropriate psychological support. Furthermore, even when users have questions, answers are not provided immediately, hindering the improvement of the user experience. A new system is needed to solve these problems.

[0405] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes: means for scanning a document on a user terminal and converting it into text data using optical character recognition; means for transmitting the generated text data to the server; means for using an artificial intelligence model to summarize the received text data; means for transmitting the summarized text to the user terminal; means for displaying the summarized text on the user terminal; means for analyzing the user's facial expression and tone of voice to recognize emotions; means for accepting follow-up questions from the user; means for transmitting the questions and emotional data to the server; means for analyzing the questions and generating answers on the server; means for transmitting the generated answers to the user terminal and displaying them; and means for storing the summaries, questions, and answers in cloud storage. This enables users to quickly understand complex documents and receive support that takes emotions into consideration. The user experience is significantly improved because users can instantly ask follow-up questions and receive appropriate answers on the spot.

[0406] A "user terminal" is a device operated by a user, and includes a smartphone, tablet, PC, etc.

[0407] "Optical character recognition" refers to a technology that analyzes characters contained in an image and converts them into text data.

[0408] "Text data" refers to data containing digital text generated by optical character recognition.

[0409] "Server" refers to a computer system for processing and storing data.

[0410] An "artificial intelligence model" refers to an algorithm that uses machine learning and deep learning technologies to analyze and generate data.

[0411] A "summary" is a document that extracts the main points and important information from text data and summarizes them briefly.

[0412] "Means for recognizing emotions" refers to technology that analyzes a user's facial expressions and tone of voice to determine their emotional state.

[0413] "Cloud storage" refers to a server infrastructure for storing and managing data over the Internet.

[0414] "Follow-up questions" refer to questions that users ask about further information or unclear points after reviewing the summarized text.

[0415] An "answer" refers to a response generated by the server in response to a follow-up question from the user.

[0416] This invention is a system in which AI summarizes the terms and conditions of a service or product a user purchases and communicates them to the user in an easy-to-understand manner. Furthermore, this system is combined with an emotion engine that recognizes the user's emotions. A specific embodiment of the system of this invention is described below.

[0417] User device operation

[0418] To use this system, a user first installs a dedicated app. The user opens the app and activates the camera function. This camera function is used to take a photo of a document such as a contract or terms and conditions. The image taken with the camera is then passed to an optical character recognition (OCR) module. This OCR module can be, for example, Google Cloud Vision or Tesseract. The OCR module analyzes the image and converts it into text data.

[0419] The device temporarily stores the converted text data and then securely transmits it to a server using the HTTPS protocol. The server receives the text data and passes it to an AI summarization model, such as OpenAI's GPT-4 or Hugging Face's Transformers library. The AI ​​summarization model analyzes the text data, extracts key information, and generates a summary.

[0420] The summary results are sent back from the server to the user's device, which then displays the summarized text to the user. An example of a display message might be, "Monthly fee is 5,000 yen, contract period is two years, penalty fee is 10,000 yen if cancellation occurs during the contract period." At the same time, an emotion engine is activated that analyzes the user's facial expressions and tone of voice to recognize emotions. This emotion engine can use Microsoft Azure's Emotion API or some deep learning models.

[0421] Next, the user reviews the summary and enters any unclear points or additional questions into an input form within the app. For example, they can ask, "What is the data plan like?" This question is sent to the server along with emotional data. The server inputs the question and emotional data into an AI model to generate an answer. The generated answer might be something like, "Your data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be applied."

[0422] The generated answer is sent back from the server to the user's device, where it is displayed to the user. At this time, the display method and content can be adjusted according to the user's emotions. For example, if the user seems anxious, the answer content will be made more detailed and displayed in a way that gives the user a sense of security.

[0423] Finally, the summary and question and answer data are uploaded to a cloud storage service, such as Amazon S3 or Google Cloud Storage, where the data is stored securely and can be viewed by the user at a later date.

[0424] Specific examples

[0425] Scenario: A user signs up for a new mobile phone contract.

[0426] 1. User device: The user scans the contract on their mobile phone.

[0427] The contract is photographed with a camera and converted into text data using OCR technology.

[0428] The terminal transmits the converted text data to the server.

[0429] 2. Server: Inputs the received text data into the AI ​​summarization model.

[0430] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[0431] The summary is sent back to the user's terminal.

[0432] 3. Terminal: displays the received summary to the user.

[0433] Specifically, it will display "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0434] At the same time, an emotion engine is activated to recognize the user's emotions using facial expressions and voice.

[0435] 4. User: Review the summary and enter any questions.

[0436] For example, type "What's my data plan?"

[0437] Emotion data is also sent to the server along with the question.

[0438] 5. Server: Inputs questions into the AI ​​model and generates answers.

[0439] "The data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be applied," he replied.

[0440] The answer is adjusted based on the user's emotional data and sent back to the terminal.

[0441] 6. Terminal: Displays the received answer to the user.

[0442] Adjust the display method and content depending on the emotion.

[0443] 7. Device: Save summaries and questions / answers in the cloud.

[0444] Allow the user to revisit later.

[0445] This system makes it easier for users to understand the terms and conditions and provides information that responds to changes in emotions, thereby improving user convenience and satisfaction.

[0446] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0447] Step 1:

[0448] The user opens the dedicated app and activates the camera function. First, the user takes a photo of a document (such as a contract or terms and conditions) with the camera. The input is an image of the document that was taken. The output is the image data. Specifically, the user presses the shutter button on the camera.

[0449] Step 2:

[0450] The device passes the captured image to the OCR module. The OCR module is software installed on the device that converts the image into text data. The input is image data. The output is text data extracted from the image. Image recognition is performed using Google Cloud Vision or Tesseract.

[0451] Step 3:

[0452] The terminal temporarily stores the converted text data and sends it to the server using the HTTPS protocol. The input is the text data generated by OCR. The output is the text data sent to the server. This includes encrypting the data before sending.

[0453] Step 4:

[0454] The server inputs the received text data into an AI summarization model. OpenAI's GPT-4 and Hugging Face's Transformers library are used as the AI ​​summarization model. The input is text data. The output is summarized text data. Specifically, the server sends a prompt to the generation AI model.

[0455] Step 5:

[0456] The server returns the generated summary in text format to the user terminal. The input is the summarized text data. The output is the summary text sent to the user terminal. The transmission uses the HTTPS protocol.

[0457] Step 6:

[0458] The terminal displays the received summary to the user. The input is the summary text received from the server. The output is the summary text displayed on the user's screen. The specific operation is to lay out the summary text on the screen and display it.

[0459] Step 7:

[0460] The device starts an emotion engine and analyzes the user's facial expressions and tone of voice to recognize emotions. The input is the user's facial image and voice data acquired from the camera and microphone. The output is the recognized emotion data. It is possible to use the Microsoft Azure Emotion API.

[0461] Step 8:

[0462] The user checks the summary and enters any unclear points or additional questions into the input form within the app. The input is the question entered by the user. The output is the entered question. Specifically, the user enters a question and presses the "Submit" button.

[0463] Step 9:

[0464] The device sends the user's question and emotional data to the server. The input is the question and emotional data. The output is the question and emotional data sent to the server. The HTTPS protocol is used for transmission, and data is encrypted.

[0465] Step 10:

[0466] The server inputs the question into an AI model and generates an answer. The AI ​​model can be something like GPT-4. The input is the question and prompt. The output is the generated answer. The server sends a prompt to the model and receives the answer.

[0467] Step 11:

[0468] The server returns the generated answer to the user terminal. The input is the generated answer. The output is the answer sent to the user terminal. The transmission uses the HTTPS protocol.

[0469] Step 12:

[0470] The device displays the received answer to the user and adjusts the answer content based on the recognized user emotion if necessary. The input is the generated answer and emotion data. The output is the adjusted answer that is displayed to the user. Specific operations include layouting and displaying the answer content on the screen.

[0471] Step 13:

[0472] The terminal uploads the summarized terms and the user's questions and answers to a cloud storage service. The input is the summary, question, and answer data. The output is the data stored in the cloud storage. We use Amazon S3 and Google Cloud Storage.

[0473] Step 14:

[0474] The cloud server stores the data securely and makes it accessible when needed. The input is the uploaded data. The output is the data safely stored in the cloud storage.

[0475] (Application example 2)

[0476] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0477] In modern society, the contracts and terms of the services and products users use and purchase are extremely complex, requiring a great deal of time and effort to understand. In particular, in areas such as electronic payment services, it is common for users to agree to terms and conditions without fully understanding them, which can lead to problems. Furthermore, there are concerns that one-sided provision of information that ignores users' feelings will reduce their satisfaction with the service. Furthermore, there is a lack of a quick and easy way for users to reconfirm the terms of their contracts. Therefore, there is a need for a system that allows users to easily understand terms and conditions and receive support tailored to their own feelings.

[0478] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for using a generative AI model to summarize received text data, means for analyzing the user's facial expressions and voice to recognize emotions, and means for providing information based on emotions. This allows the user to easily understand the contract contents and terms and receive appropriate support based on their own emotions. In addition, the summarized text and questions and answers can be saved in cloud storage so that the user can review them later, allowing for quick and easy confirmation of the contract contents.

[0479] A "user terminal" is a computer device used by a user, which has a camera function and a display function, and is used to scan documents and display information.

[0480] "Scanning" is the process of converting a physical document into digital data, and is done using a camera.

[0481] Optical character recognition (OCR) is a technology that extracts characters from image data and converts them into text data.

[0482] A "generative AI model" is an artificial intelligence model that learns from large amounts of text data to perform summarization and question-answering.

[0483] A "summary" is a concise summary of important information extracted from text data.

[0484] "Emotion recognition" means determining whether a user is feeling something by analyzing the user's facial expression and tone of voice.

[0485] "Emotion-based information provision" means providing information or answers in a form that is appropriate to the user's recognized emotions.

[0486] A "server" is a computer device that receives data sent from a user terminal and performs data summarization, question answering, emotion recognition, and the like.

[0487] "Cloud storage" is a data storage service available over the internet that securely stores data and makes it accessible when needed.

[0488] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the products a user purchases, and communicates them to the user in an easy-to-understand manner, and it also combines an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[0489] System Configuration

[0490] The system consists of the following main components:

[0491] 1. User terminal: A device equipped with a camera that can scan contracts and regulations and obtain image data. This includes smartphones and tablets.

[0492] 2. Server: A computing device that receives image data, converts it into text data using optical character recognition (OCR) technology, and performs summarization using a generative AI model.

[0493] 3. Cloud storage: An online service that securely stores summarized text data and question and answer data, allowing users to access them whenever they need.

[0494] Hardware and Software

[0495] OCR technology: Uses the pytesseract library to extract text data from images.

[0496] Generative AI model: Summarizes text data using the pipeline function of the transformers library.

[0497] Emotion Recognition: Analyzes the user's facial expressions and tone of voice using face_recognition and emotion recognition libraries.

[0498] Cloud Storage: Save data to Amazon S3 cloud storage using boto3 library.

[0499] Data processing and calculation

[0500] 1. Data acquisition and transformation:

[0501] The user scans the contract using the device's camera, and the image data is converted to text using OCR processing by pytesseract. The converted text data is temporarily stored on the device and then sent to the server.

[0502] 2. Summarization:

[0503] The server inputs the received text data into a generative AI model for summarization. The generative AI model is trained using the transformers library, which analyzes the text data, extracts important information, and generates a summary.

[0504] 3. Emotion recognition:

[0505] The device collects the user's facial expressions and tone of voice through a camera and microphone, and analyzes them using face_recognition and emotion recognition libraries. The emotion data is sent to a server and used to provide summaries and feedback on answers.

[0506] 4. Cloud Storage:

[0507] The summarized text and question-and-answer data are stored in Amazon S3 cloud storage using the boto3 library, allowing users to review the data whenever needed.

[0508] Examples of concrete examples and prompts

[0509] Specific examples

[0510] When a user signs up for a new electronic payment service, the contract is scanned to quickly obtain a simplified summary, such as "Monthly fee is 5,000 yen, contract period is one year, and penalty fee is 5,000 yen if cancellation occurs during the contract period."

[0511] When a user requests deeper understanding based on their emotions, the system provides appropriate supplementary information. For example, when a user types in "What are the data usage charges?", the system responds with "Up to 10GB per month is free, and anything above that costs 500 yen per GB."

[0512] Prompt Sentence Examples

[0513] 1. OCR processing:

[0514] "Please take a photo of the contract and convert it into text data using OCR."

[0515] 2. Summarization:

[0516] "Please summarize the following text: {Contract text}"

[0517] 3. Emotion recognition:

[0518] "Capture the user's facial expressions and recognize their emotions."

[0519] In this way, the present invention allows users to easily understand the contract details and receive appropriate feedback based on their emotions. In addition, the data storage function using cloud storage provides the convenience of easily checking past information at any time.

[0520] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0521] Step 1:

[0522] The user scans the contract using the device's camera. The input is the physical contract, and the output is a scanned image. This image data is important for proceeding to the next step.

[0523] Step 2:

[0524] The image data scanned by the device is OCR processed using the pytesseract library. The input is the image data obtained in step 1, and the output is text data. This text data is temporarily saved on the device.

[0525] Step 3:

[0526] The terminal sends the text data obtained by OCR processing to the server. The input is the text data after OCR processing, and the output is the completion of data transmission to the server. The server receives this data and prepares it for processing in the next step.

[0527] Step 4:

[0528] The server inputs the received text data into a generative AI model and performs summarization. The input is the text data received by the server, and the output is the summarized text. The server generates this summarized text using a generative AI model (for example, the pipeline function of the transformers library).

[0529] Step 5:

[0530] The server sends the summarized text to the user terminal. The input is the generated summary text, and the output is the completion of data transmission to the user terminal. The user terminal receives this data and proceeds to the next step.

[0531] Step 6:

[0532] The terminal displays the received summary to the user. The input is the summary text, and the output is the summary information displayed on the user interface. The user understands the contract contents based on this summary.

[0533] Step 7:

[0534] The device collects the user's facial expressions and tone of voice using a camera and microphone, and analyzes them using an emotion recognition library (e.g., face_recognition). The input is the user's facial expressions and voice data, and the output is the recognized emotion data. This emotion data is sent to the server.

[0535] Step 8:

[0536] The user checks the summary and enters additional questions if necessary. The input is the question entered by the user, and the output is that the terminal sends the question to the server, which receives this data.

[0537] Step 9:

[0538] The server inputs the received question and emotion data into the generative AI model to generate an appropriate answer. The input is the question text and emotion data, and the output is the generated answer text. The answer is adjusted based on the emotion data.

[0539] Step 10:

[0540] The server sends the generated answer to the user terminal. The input is the generated answer sentence, and the output is the completion of data transmission to the user terminal. The user terminal receives this data and displays it to the user.

[0541] Step 11:

[0542] The device stores the summary, question, and answer data in cloud storage. The input is the summary text, question, and answer text, and the output is data securely stored in cloud storage. The user can access and review this data whenever necessary.

[0543] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0544] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0545] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0546] [Second embodiment]

[0547] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0548] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0549] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0550] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0551] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0552] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0553] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0554] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0555] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0556] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0557] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0558] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0559] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the products a user purchases, and communicates them to the user in an easy-to-understand manner. A specific embodiment of this system will be described below.

[0560] User device operation

[0561] 1. Scanning and OCR

[0562] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[0563] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[0564] The terminal temporarily stores the converted text data and transmits it to the server.

[0565] 2. Summarizing the Regulation Text

[0566] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[0567] The server returns the generated summary in text form to the user terminal.

[0568] 3. Presenting a summary and answering follow-up questions

[0569] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0570] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[0571] The terminal sends a question to the server.

[0572] The server inputs the question into the AI ​​model and generates an answer. For example, it might say, "Your data plan is free up to 10GB per month. After that, additional charges are 500 yen per GB."

[0573] The server generates a response and sends it back to the terminal.

[0574] The terminal displays the received answer to the user.

[0575] 4. Data saving and review function

[0576] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[0577] Cloud servers store your data securely and make it accessible when you need it.

[0578] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[0579] Specific examples

[0580] Scenario: A user signs up for a new mobile phone contract.

[0581] 1. User device: The user scans the contract on their mobile phone.

[0582] The contract is photographed with a camera and converted into text data using OCR technology.

[0583] The terminal transmits the converted text data to the server.

[0584] 2. Server: Inputs the received text data into the AI ​​summarization model.

[0585] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[0586] The summary is sent back to the user's terminal.

[0587] 3. Terminal: displays the received summary to the user.

[0588] Specifically, it will display "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0589] 4. User: Review the summary and enter any questions.

[0590] For example, type "What's my data plan?"

[0591] 5. Terminal: Sends the question to the server.

[0592] The server inputs questions into the AI, which generates answers.

[0593] 6. Server: "The data plan is free up to 10GB per month. After that, it costs 500 yen per GB."

[0594] The answer is sent back to the device.

[0595] 7. Terminal: Displays the received answer to the user.

[0596] 8. Device: Save summaries and questions / answers in the cloud.

[0597] Allow the user to revisit later.

[0598] This system allows users to quickly understand complex terms and conditions, avoid missing important information, and enter into contracts with confidence. It also improves user convenience by providing a means to quickly resolve any questions.

[0599] The processing flow will be explained below.

[0600] Step 1:

[0601] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[0602] Step 2:

[0603] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[0604] Step 3:

[0605] The terminal temporarily stores the converted text data.

[0606] Step 4:

[0607] The terminal transmits the stored text data to the server.

[0608] Step 5:

[0609] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[0610] Step 6:

[0611] The server returns the generated summary in text form to the terminal.

[0612] Step 7:

[0613] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0614] Step 8:

[0615] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[0616] Step 9:

[0617] The terminal sends a question to the server.

[0618] Step 10:

[0619] The server inputs the question into the AI ​​model, which analyzes the question and generates an answer.

[0620] Step 11:

[0621] The server generates a response and sends it back to the terminal.

[0622] Step 12:

[0623] The terminal displays the received answer to the user.

[0624] Step 13:

[0625] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[0626] Step 14:

[0627] Cloud servers store your data securely and make it accessible when you need it.

[0628] Step 15:

[0629] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[0630] Example 1

[0631] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0632] Conventional contracts and regulations are complex and difficult for users to carefully review. This can lead to important information being overlooked or misunderstood. Furthermore, when users have questions about the contract, there are limited ways to quickly resolve them. Given this background, there is a demand for a system that allows users to easily understand the contract and quickly resolve any questions.

[0633] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0634] In this invention, the server includes means for receiving text data converted by OCR, means for summarizing the text data using an AI summarization model, means for transmitting the summarized text to a user terminal, means for accepting and analyzing follow-up questions from the user and generating answers, means for transmitting the generated answers to the user terminal and displaying them, and means for saving the summaries, questions, and answers in cloud storage, thereby enabling users to concisely understand the contents of the document, avoid missing important information, and quickly resolve any questions.

[0635] A "user terminal" refers to a computer system or part of a computer system that can be directly operated by a user, and specifically includes a smartphone, a tablet terminal, or a personal computer.

[0636] "Scanning" refers to the process of reading physical information such as documents or images as digital data, and is often done using the camera function built into the user's device.

[0637] "Optical character recognition (OCR)" refers to a technology that extracts character information from image data and converts it into text data.

[0638] "Text data" refers to data that represents letters and symbols in digital form, and is converted from image data using OCR or other methods.

[0639] A "server" refers to a computer system that communicates with other computer systems via a network and processes and stores data.

[0640] An "artificial intelligence model" refers to an algorithm that performs advanced analysis and predictions based on large amounts of data, and in this context is used specifically to summarize text data.

[0641] A "summary" refers to a document that extracts important information from long text data and summarizes it concisely.

[0642] "Cloud storage" refers to a remote server storage service that allows data to be stored and accessed over the Internet.

[0643] "Question" refers to text entered by a user through the system to resolve a question or uncertainty.

[0644] "Answer" refers to text containing a solution or information generated by the system in response to an input question.

[0645] "Preservation" refers to the act of storing digital data for a long period of time and making it accessible at a later date.

[0646] "Redisplay" refers to the act of displaying previously saved data on the screen again.

[0647] This invention is a system in which an artificial intelligence (AI) model summarizes the terms and conditions of a service or product a user purchases and communicates them to the user in an easy-to-understand manner. Detailed embodiments of the invention are described below.

[0648] Document scanning and OCR

[0649] The user launches a dedicated app and uses the app's camera function to scan a contract or agreement document. For example, the user uses a smartphone, tablet, or other device. The device passes the captured image to an OCR (optical character recognition) module, which analyzes the image using a tool such as Tesseract OCR and converts it into text data. The converted text data is temporarily stored on the device and then sent to a server.

[0650] Summarization of the regulation text

[0651] The server inputs the received text data into an AI summarization model, using natural language processing techniques such as OpenAI's GPT-3 model. The AI ​​summarization model analyzes the text data, extracts important information, and generates a summary. The generated summary is then sent from the server to the user's device.

[0652] Presenting a summary and answering follow-up questions

[0653] The user terminal displays the received summary to the user. Specifically, information such as "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if the contract is cancelled during the contract period" is displayed. After checking the summary, the user can enter any questions or additional information. For example, the user can enter a question such as "What is the data plan?" The terminal then sends the entered question to the server.

[0654] The server inputs the received question into the AI ​​model and generates an appropriate answer to the question. An example of an answer would be, "Data plans are free up to 10GB per month, after which an additional charge of 500 yen per GB will be generated." The generated answer is sent from the server to the user's device and displayed to the user.

[0655] Data saving and review function

[0656] The user device uploads the summarized terms and conditions and the user's questions and answers to a cloud storage service, such as Amazon Web Services (AWS) S3 or Google Cloud Storage. The cloud server securely stores the data, and the user can retrieve and view the stored data through the app if they wish to review it.

[0657] Specific examples

[0658] Scenario: A user signs up for a new mobile phone contract.

[0659] 1. User device: The user scans the contract on their mobile phone, taking a picture of it with their camera, converting it into text data using OCR technology, and sending it to the server.

[0660] 2. Server: Inputs the received text data into the AI ​​summarization model, extracts important information, generates a summary, and sends it back to the user device.

[0661] 3. Device: The received summary is displayed to the user, who can review the summary and enter any questions they may have, such as "What's my data plan?"

[0662] 4. Server: The question is input into the AI ​​model, and an answer is generated: "The data plan is free up to 10GB per month. After that, an additional charge of 500 yen per GB will be applied." This is then sent back to the device.

[0663] 5. Terminal: Displays the received answer to the user.

[0664] 6. On the device: The summary and questions and answers are stored in the cloud so that users can review them later.

[0665] Prompt Sentence Examples

[0666] Below are some example prompts to input to a generative AI model:

[0667] "Please summarize this contract. Please extract the key clauses and important information and summarize it concisely."

[0668] Please tell me about the penalty for breaking this agreement.

[0669] "Please tell me the details of this data plan."

[0670] This allows users to quickly understand the complex terms and conditions, avoid missing important information, and enter into contracts with confidence. It also improves user convenience by providing a means to quickly resolve any questions.

[0671] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0672] Step 1:

[0673] The user opens the dedicated app and activates the camera function.

[0674] Input: User action to activate the camera

[0675] Operation: The user terminal starts the camera and prepares to take a picture of a document.

[0676] Output: Camera is activated

[0677] Step 2:

[0678] The user takes a photo of a document such as a contract or agreement with a camera.

[0679] Input: User takes a photo of a document with the camera

[0680] Operation: The user device takes a picture of a document with its camera and generates image data.

[0681] Output: Captured image data

[0682] Step 3:

[0683] The device passes the captured image to the OCR module.

[0684] Input: Photographed image data

[0685] How it works: The device transfers image data to the OCR module, which begins analyzing the image using software such as Tesseract OCR.

[0686] Output: Image data transferred to the OCR module

[0687] Step 4:

[0688] The OCR module analyzes the image and converts it into text data.

[0689] Input: Image data transferred to the OCR module

[0690] How it works: The OCR module recognizes characters from an image and converts them into text data. It also performs image preprocessing such as automatic brightness adjustment and noise reduction.

[0691] Output: Generated text data

[0692] Step 5:

[0693] The terminal temporarily stores the converted text data and transmits it to the server.

[0694] Input: Generated text data

[0695] How it works: The device temporarily stores the text data and then sends it to the server, using data compression techniques (e.g., GZIP) to optimize communication speed.

[0696] Output: Text data sent to the server

[0697] Step 6:

[0698] The server inputs the received text data into an AI summarization model.

[0699] Input: Text data sent to the server

[0700] How it works: The server inputs text data into an AI summarization model (e.g., OpenAI GPT-3).

[0701] Output: Text data sent to the AI ​​summarization model

[0702] Step 7:

[0703] An AI summarization model analyzes the text data and generates a summary.

[0704] Input: Text data sent to the AI ​​summarization model

[0705] How it works: The AI ​​summarization model uses natural language processing techniques to extract key information from a text and generate a summary.

[0706] Output: Generated summary text

[0707] Step 8:

[0708] The server returns the generated summary to the user terminal.

[0709] Input: Generated summary text

[0710] How it works: The server sends the summary text back to the user's device. It uses data encryption and TLS (Transmission Layer Security) to send the data securely.

[0711] Output: Summary text sent to the user's terminal

[0712] Step 9:

[0713] The terminal displays the received summary to the user.

[0714] Input: Summary text sent to the user terminal

[0715] Action: The terminal displays the summary text to the user.

[0716] Output: Summary text displayed to the user

[0717] Step 10:

[0718] The user reviews the summary and enters any questions or concerns.

[0719] Input: The user checks the summary text and enters any questions or additional information.

[0720] How it works: The user reviews the summary and then texts in any follow-up questions. Voice input and chatbot interfaces are also available.

[0721] Output: Additional questions entered on the user's terminal

[0722] Step 11:

[0723] The terminal sends a question to the server.

[0724] Input: Additional questions entered into the user's terminal

[0725] How it works: The device sends a query to the server, which uses encryption to ensure data integrity and security.

[0726] Output: The question sent to the server

[0727] Step 12:

[0728] The server inputs the question into the AI ​​model and generates an answer.

[0729] Input: The question sent to the server

[0730] How it works: The server inputs a question into the AI ​​model, which uses contextual understanding to generate an answer.

[0731] Output: Generated answer text

[0732] Step 13:

[0733] The server generates a response and sends it back to the terminal.

[0734] Input: Generated answer text

[0735] Operation: The server returns the answer text to the user terminal.

[0736] Output: Answer text sent to the terminal

[0737] Step 14:

[0738] The terminal displays the received answer to the user.

[0739] Input: Answer text sent to the terminal

[0740] Action: The terminal displays the answer text to the user, resolving the question.

[0741] Output: The answer text displayed to the user

[0742] Step 15:

[0743] The device uploads the summary and questions and answers to a cloud storage service.

[0744] Input: Summary text, Question and Answer text

[0745] How it works: The device uploads this data to cloud storage, encrypting the data and controlling access.

[0746] Output: Data stored in cloud storage

[0747] Step 16:

[0748] A cloud server stores the data and provides access if the user wants to review it.

[0749] Input: Data stored in cloud storage

[0750] How it works: Cloud servers store your data securely and make it accessible to you when you need it.

[0751] Output: Stored data that can be accessed when needed

[0752] This allows users to quickly understand complex contract details, avoid missing important information, and conclude contracts with confidence. It also improves user convenience by providing a means to quickly resolve any questions.

[0753] (Application example 1)

[0754] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0755] The contents of conventional contracts and regulations are very complicated, and many users often miss important information. It is also difficult to get a quick answer to a question of interest. Furthermore, there are limited ways to reconfirm the information obtained, which often reduces user convenience.

[0756] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0757] In this invention, the server includes means for generating answers in real time using a generative AI model to specific questions about the terms and conditions or contract contents, means for saving the provided answers and summaries in cloud storage so that the summaries and answers can be reviewed later, and means for asking questions about the terms and conditions or contract contents to the generative AI model on a user terminal and receiving the answers. This allows users to quickly understand the complex terms and conditions, conclude a contract without missing any important information, and further allows users to resolve any questions in real time, greatly improving user convenience.

[0758] A "user terminal" is a device used by a user, such as a smartphone or tablet, that has a camera function and an Internet connection function.

[0759] "Scanning" is the act of capturing a physical document as a digital image using a camera or scanner.

[0760] "Optical character recognition" is a technology for extracting character data from an image, and is an abbreviation for OCR (Optical Character Recognition).

[0761] "Text data" is data in a digital format that represents information such as letters and symbols.

[0762] A "server" is a computer system that processes, stores, and distributes data over a network.

[0763] An "artificial intelligence model" is an algorithm or system that uses AI technology to analyze data and generate summaries or answers.

[0764] A "generative AI model" is an AI technology that generates summaries of text and answers to questions, particularly based on natural language processing.

[0765] A "summary" is a shortened summary of the main information in the text data.

[0766] A "question" is an inquiry seeking specific information.

[0767] To "generate" means to create new data or results based on specific inputs.

[0768] "Cloud storage" is an online storage service that allows you to store, manage, and back up data over the Internet.

[0769] "Reconfirmation" is the act of reconfirming previously obtained information.

[0770] "Real time" means that data processing and responses are performed immediately, and a response can be made instantly to user operations.

[0771] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the products a user purchases, and communicates them to the user in an easy-to-understand manner. The following describes the specific configuration of this system.

[0772] System Overview

[0773] This system processes and stores various data using user devices (such as smartphones), servers, and cloud storage services. Users can easily understand complex contracts and regulations by using a dedicated application installed on their device.

[0774] Hardware and software used

[0775] User device: A smartphone or tablet with a camera function.

[0776] OCR module: Optical character recognition software, such as Tesseract, installed on the device.

[0777] Generative AI models: Algorithms such as OpenAI GPT-3 that use natural language processing to generate summaries and answer questions.

[0778] Cloud storage: Online data storage services such as Google Cloud Storage.

[0779] Processing flow

[0780] 1. Scanning and OCR

[0781] The user opens the dedicated app, activates the camera function, and takes a picture of a document (e.g., a contract or agreement) with the camera.

[0782] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[0783] The terminal temporarily stores the converted text data and transmits it to the server.

[0784] 2. Summarizing the Regulation Text

[0785] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[0786] The server returns the generated summary in text form to the user terminal.

[0787] 3. Presenting a summary and answering follow-up questions

[0788] The terminal displays the received summary to the user. For example, it is displayed as follows:

[0789] "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0790] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[0791] The terminal sends a question to the server.

[0792] The server inputs the question into the AI ​​model and generates an answer. For example, it is generated as follows:

[0793] "Data plans are free up to 10GB per month, after which additional charges are 500 yen per GB."

[0794] The server generates a response and sends it back to the terminal.

[0795] The terminal displays the received answer to the user.

[0796] 4. Data saving and review function

[0797] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[0798] Cloud servers store your data securely and make it accessible when you need it.

[0799] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[0800] Specific examples

[0801] Scenario: A user signs up for a new electronic payment service.

[0802] 1. User Device:

[0803] The user scans an electronic payment contract, which is then photographed with a camera and converted into text data using OCR technology.

[0804] The terminal transmits the converted text data to the server.

[0805] 2. Server:

[0806] The received text data is input into an AI summarization model.

[0807] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[0808] The summary is sent back to the user's terminal.

[0809] 3. Terminal:

[0810] The received summary is displayed to the user in a format such as "Monthly fee is 5,000 yen, contract period is two years, penalty fee is 10,000 yen if cancellation occurs during the contract period."

[0811] 4. User:

[0812] Check the summary and enter any questions you have. Enter "What's my data plan?"

[0813] 5. Server:

[0814] The question is input into the AI ​​model, and an answer is generated: "Your data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be generated."

[0815] 6. Terminal:

[0816] The received response is displayed to the user.

[0817] 7. Save:

[0818] Save summaries and questions and answers to the cloud so users can review them later.

[0819] Prompt Sentence Examples

[0820] Summarize the following text:

[0821] Contract period: 2 years

[0822] Monthly fee: 5,000 yen

[0823] Penalty: 10,000 yen

[0824] Data plan: Free up to 10GB per month, then 500 yen per GB

[0825] summary:

[0826] The above is a description of the mode for carrying out the invention. This system allows users to quickly understand the complex contents of a contract and conclude the contract without missing any important information. It also provides a means for quickly resolving any questions, improving user convenience.

[0827] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0828] Step 1:

[0829] The user opens the dedicated app and activates the camera function. The user uses the camera to take a picture of a document such as a contract or agreement. The captured image is imported into the device as input data. The device passes the image to the OCR module, which analyzes the image and converts it into text data. The converted text data is output to the device and temporarily saved.

[0830] Step 2:

[0831] The terminal sends the converted text data to the server, which then receives the text data as input data and stores it for further processing.

[0832] Step 3:

[0833] The server passes the received text data to the AI ​​summarization model, which analyzes the text data, extracts important information, and generates a summary. The summarized text data is then output to the server.

[0834] Step 4:

[0835] The server returns the generated summary in text format to the user's terminal. The terminal takes the received summary as input data and displays it in a format that is easy for the user to understand. For example, it may display "Monthly fee is 5,000 yen, contract period is two years, penalty fee is 10,000 yen if cancellation occurs during the contract period."

[0836] Step 5:

[0837] The user reviews the summary and enters a follow-up question into the app, such as "What's my data plan?" The user's input is captured as input data on the device.

[0838] Step 6:

[0839] The device sends the user's question to the server. The server takes the received question as input data and inputs it into the AI ​​model. The AI ​​model analyzes the question and generates an appropriate answer. For example, it outputs "Data plan is free up to 10GB per month. After that, additional charges are 500 yen per GB."

[0840] Step 7:

[0841] The server returns the generated answer to the user terminal, which takes the received answer as input data and displays it to the user.

[0842] Step 8:

[0843] The device uploads the summarized terms and conditions, along with the user's questions and answers, to a cloud storage service. The cloud server securely stores the data and makes it accessible when needed. If the user wants to review it, they can operate the app to retrieve the stored data from the cloud and display it.

[0844] The above are the specific processing steps for implementing the invention. This system allows users to quickly understand complex contract contents and conclude contracts without missing important information. It also provides a means to quickly resolve any questions, improving user convenience.

[0845] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0846] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the contract details of the products they purchase, and communicates this information to the user in an easy-to-understand manner, and it also combines an emotion engine that recognizes the user's emotions. A specific embodiment of this system will be described below.

[0847] User device operation

[0848] 1. Scanning and OCR

[0849] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[0850] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[0851] The terminal temporarily stores the converted text data and transmits it to the server.

[0852] 2. Summarizing the Regulation Text

[0853] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[0854] The server returns the generated summary in text form to the user terminal.

[0855] 3. Summary Presentation and Emotion Recognition

[0856] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0857] The device activates an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[0858] 4. Handling additional questions

[0859] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[0860] The terminal sends the question to the server and also sends the user's emotion data at the same time.

[0861] The server inputs the question into the AI ​​model, which analyzes the question and generates an answer.

[0862] 5. Adjust based on responses and emotions

[0863] The server returns the generated answer to the user terminal.

[0864] The device displays the received answer to the user, and if necessary, adjusts the answer based on the recognized user emotion.

[0865] 6. Data saving and review function

[0866] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[0867] Cloud servers store your data securely and make it accessible when you need it.

[0868] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[0869] Specific examples

[0870] Scenario: A user signs up for a new mobile phone contract.

[0871] 1. User device: The user scans the contract on their mobile phone.

[0872] The contract is photographed with a camera and converted into text data using OCR technology.

[0873] The terminal transmits the converted text data to the server.

[0874] 2. Server: Inputs the received text data into the AI ​​summarization model.

[0875] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[0876] The summary is sent back to the user's terminal.

[0877] 3. Terminal: displays the received summary to the user.

[0878] Specifically, it will display "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0879] At the same time, an emotion engine is activated to recognize the user's emotions using facial expressions and voice.

[0880] 4. User: Review the summary and enter any questions.

[0881] For example, type "What's my data plan?"

[0882] Emotion data is also sent to the server along with the question.

[0883] 5. Server: Inputs questions into the AI ​​model and generates answers.

[0884] "The data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be applied," he replied.

[0885] The answer is adjusted based on the user's emotional data and sent back to the terminal.

[0886] 6. Terminal: Displays the received answer to the user.

[0887] Adjust the display method and content depending on the emotion.

[0888] 7. Device: Save summaries and questions / answers in the cloud.

[0889] Allow the user to revisit later.

[0890] This system not only makes it easier for users to understand the terms and conditions, but also provides information that responds to changes in emotions, thereby improving user convenience and satisfaction.

[0891] The processing flow will be explained below.

[0892] Step 1:

[0893] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[0894] Step 2:

[0895] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[0896] Step 3:

[0897] The terminal temporarily stores the converted text data.

[0898] Step 4:

[0899] The terminal transmits the stored text data to the server.

[0900] Step 5:

[0901] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[0902] Step 6:

[0903] The server returns the generated summary in text form to the terminal.

[0904] Step 7:

[0905] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0906] Step 8:

[0907] The device activates an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[0908] Step 9:

[0909] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[0910] Step 10:

[0911] The device sends the question and the user's emotion data to the server.

[0912] Step 11:

[0913] The server inputs the question into the AI ​​model, which analyzes the question and generates an answer.

[0914] Step 12:

[0915] The server adjusts the generated answer based on the user's emotion data and returns it to the user terminal.

[0916] Step 13:

[0917] The device displays the received response to the user, adjusting the display method and content depending on the user's emotion.

[0918] Step 14:

[0919] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[0920] Step 15:

[0921] Cloud servers store your data securely and make it accessible when you need it.

[0922] Step 16:

[0923] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[0924] Example 2

[0925] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0926] Conventional document processing systems require users to spend a lot of time and effort to understand complex documents such as contracts and regulations. Furthermore, these systems lack the ability to recognize users' emotions, making it difficult to provide appropriate psychological support. Furthermore, even when users have questions, answers are not provided immediately, hindering the improvement of the user experience. A new system is needed to solve these problems.

[0927] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes: means for scanning a document on a user terminal and converting it into text data using optical character recognition; means for transmitting the generated text data to the server; means for using an artificial intelligence model to summarize the received text data; means for transmitting the summarized text to the user terminal; means for displaying the summarized text on the user terminal; means for analyzing the user's facial expression and tone of voice to recognize emotions; means for accepting follow-up questions from the user; means for transmitting the questions and emotional data to the server; means for analyzing the questions and generating answers on the server; means for transmitting the generated answers to the user terminal and displaying them; and means for storing the summaries, questions, and answers in cloud storage. This enables users to quickly understand complex documents and receive support that takes emotions into consideration. The user experience is significantly improved because users can instantly ask follow-up questions and receive appropriate answers on the spot.

[0928] A "user terminal" is a device operated by a user, and includes a smartphone, tablet, PC, etc.

[0929] "Optical character recognition" refers to a technology that analyzes characters contained in an image and converts them into text data.

[0930] "Text data" refers to data containing digital text generated by optical character recognition.

[0931] "Server" refers to a computer system for processing and storing data.

[0932] An "artificial intelligence model" refers to an algorithm that uses machine learning and deep learning technologies to analyze and generate data.

[0933] A "summary" is a document that extracts the main points and important information from text data and summarizes them briefly.

[0934] "Means for recognizing emotions" refers to technology that analyzes a user's facial expressions and tone of voice to determine their emotional state.

[0935] "Cloud storage" refers to a server infrastructure for storing and managing data over the Internet.

[0936] "Follow-up questions" refer to questions that users ask about further information or unclear points after reviewing the summarized text.

[0937] An "answer" refers to a response generated by the server in response to a follow-up question from the user.

[0938] This invention is a system in which AI summarizes the terms and conditions of a service or product a user purchases and communicates them to the user in an easy-to-understand manner. Furthermore, this system is combined with an emotion engine that recognizes the user's emotions. A specific embodiment of the system of this invention is described below.

[0939] User device operation

[0940] To use this system, a user first installs a dedicated app. The user opens the app and activates the camera function. This camera function is used to take a photo of a document such as a contract or terms and conditions. The image taken with the camera is then passed to an optical character recognition (OCR) module. This OCR module can be, for example, Google Cloud Vision or Tesseract. The OCR module analyzes the image and converts it into text data.

[0941] The device temporarily stores the converted text data and then securely transmits it to a server using the HTTPS protocol. The server receives the text data and passes it to an AI summarization model, such as OpenAI's GPT-4 or Hugging Face's Transformers library. The AI ​​summarization model analyzes the text data, extracts key information, and generates a summary.

[0942] The summary results are sent back from the server to the user's device, which then displays the summarized text to the user. An example of a display message might be, "Monthly fee is 5,000 yen, contract period is two years, penalty fee is 10,000 yen if cancellation occurs during the contract period." At the same time, an emotion engine is activated that analyzes the user's facial expressions and tone of voice to recognize emotions. This emotion engine can use Microsoft Azure's Emotion API or some deep learning models.

[0943] Next, the user reviews the summary and enters any unclear points or additional questions into an input form within the app. For example, they can ask, "What is the data plan like?" This question is sent to the server along with emotional data. The server inputs the question and emotional data into an AI model to generate an answer. The generated answer might be something like, "Your data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be applied."

[0944] The generated answer is sent back from the server to the user's device, where it is displayed to the user. At this time, the display method and content can be adjusted according to the user's emotions. For example, if the user seems anxious, the answer content will be made more detailed and displayed in a way that gives the user a sense of security.

[0945] Finally, the summary and question and answer data are uploaded to a cloud storage service, such as Amazon S3 or Google Cloud Storage, where the data is stored securely and can be viewed by the user at a later date.

[0946] Specific examples

[0947] Scenario: A user signs up for a new mobile phone contract.

[0948] 1. User device: The user scans the contract on their mobile phone.

[0949] The contract is photographed with a camera and converted into text data using OCR technology.

[0950] The terminal transmits the converted text data to the server.

[0951] 2. Server: Inputs the received text data into the AI ​​summarization model.

[0952] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[0953] The summary is sent back to the user's terminal.

[0954] 3. Terminal: displays the received summary to the user.

[0955] Specifically, it will display "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[0956] At the same time, an emotion engine is activated to recognize the user's emotions using facial expressions and voice.

[0957] 4. User: Review the summary and enter any questions.

[0958] For example, type "What's my data plan?"

[0959] Emotion data is also sent to the server along with the question.

[0960] 5. Server: Inputs questions into the AI ​​model and generates answers.

[0961] "The data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be applied," he replied.

[0962] The answer is adjusted based on the user's emotional data and sent back to the terminal.

[0963] 6. Terminal: Displays the received answer to the user.

[0964] Adjust the display method and content depending on the emotion.

[0965] 7. Device: Save summaries and questions / answers in the cloud.

[0966] Allow the user to revisit later.

[0967] This system makes it easier for users to understand the terms and conditions and provides information that responds to changes in emotions, thereby improving user convenience and satisfaction.

[0968] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0969] Step 1:

[0970] The user opens the dedicated app and activates the camera function. First, the user takes a photo of a document (such as a contract or terms and conditions) with the camera. The input is an image of the document that was taken. The output is the image data. Specifically, the user presses the shutter button on the camera.

[0971] Step 2:

[0972] The device passes the captured image to the OCR module. The OCR module is software installed on the device that converts the image into text data. The input is image data. The output is text data extracted from the image. Image recognition is performed using Google Cloud Vision or Tesseract.

[0973] Step 3:

[0974] The terminal temporarily stores the converted text data and sends it to the server using the HTTPS protocol. The input is the text data generated by OCR. The output is the text data sent to the server. This includes encrypting the data before sending.

[0975] Step 4:

[0976] The server inputs the received text data into an AI summarization model. OpenAI's GPT-4 and Hugging Face's Transformers library are used as the AI ​​summarization model. The input is text data. The output is summarized text data. Specifically, the server sends a prompt to the generation AI model.

[0977] Step 5:

[0978] The server returns the generated summary in text format to the user terminal. The input is the summarized text data. The output is the summary text sent to the user terminal. The transmission uses the HTTPS protocol.

[0979] Step 6:

[0980] The terminal displays the received summary to the user. The input is the summary text received from the server. The output is the summary text displayed on the user's screen. The specific operation is to lay out the summary text on the screen and display it.

[0981] Step 7:

[0982] The device starts an emotion engine and analyzes the user's facial expressions and tone of voice to recognize emotions. The input is the user's facial image and voice data acquired from the camera and microphone. The output is the recognized emotion data. It is possible to use the Microsoft Azure Emotion API.

[0983] Step 8:

[0984] The user checks the summary and enters any unclear points or additional questions into the input form within the app. The input is the question entered by the user. The output is the entered question. Specifically, the user enters a question and presses the "Submit" button.

[0985] Step 9:

[0986] The device sends the user's question and emotional data to the server. The input is the question and emotional data. The output is the question and emotional data sent to the server. The HTTPS protocol is used for transmission, and data is encrypted.

[0987] Step 10:

[0988] The server inputs the question into an AI model and generates an answer. The AI ​​model can be something like GPT-4. The input is the question and prompt. The output is the generated answer. The server sends a prompt to the model and receives the answer.

[0989] Step 11:

[0990] The server returns the generated answer to the user terminal. The input is the generated answer. The output is the answer sent to the user terminal. The transmission uses the HTTPS protocol.

[0991] Step 12:

[0992] The device displays the received answer to the user and adjusts the answer content based on the recognized user emotion if necessary. The input is the generated answer and emotion data. The output is the adjusted answer that is displayed to the user. Specific operations include layouting and displaying the answer content on the screen.

[0993] Step 13:

[0994] The terminal uploads the summarized terms and the user's questions and answers to a cloud storage service. The input is the summary, question, and answer data. The output is the data stored in the cloud storage. We use Amazon S3 and Google Cloud Storage.

[0995] Step 14:

[0996] The cloud server stores the data securely and makes it accessible when needed. The input is the uploaded data. The output is the data safely stored in the cloud storage.

[0997] (Application example 2)

[0998] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0999] In modern society, the contracts and terms of the services and products users use and purchase are extremely complex, requiring a great deal of time and effort to understand. In particular, in areas such as electronic payment services, it is common for users to agree to terms and conditions without fully understanding them, which can lead to problems. Furthermore, there are concerns that one-sided provision of information that ignores users' feelings will reduce their satisfaction with the service. Furthermore, there is a lack of a quick and easy way for users to reconfirm the terms of their contracts. Therefore, there is a need for a system that allows users to easily understand terms and conditions and receive support tailored to their own feelings.

[1000] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for using a generative AI model to summarize received text data, means for analyzing the user's facial expressions and voice to recognize emotions, and means for providing information based on emotions. This allows the user to easily understand the contract contents and terms and receive appropriate support based on their own emotions. In addition, the summarized text and questions and answers can be saved in cloud storage so that the user can review them later, allowing for quick and easy confirmation of the contract contents.

[1001] A "user terminal" is a computer device used by a user, which has a camera function and a display function, and is used to scan documents and display information.

[1002] "Scanning" is the process of converting a physical document into digital data, and is done using a camera.

[1003] Optical character recognition (OCR) is a technology that extracts characters from image data and converts them into text data.

[1004] A "generative AI model" is an artificial intelligence model that learns from large amounts of text data to perform summarization and question-answering.

[1005] A "summary" is a concise summary of important information extracted from text data.

[1006] "Emotion recognition" means determining whether a user is feeling something by analyzing the user's facial expression and tone of voice.

[1007] "Emotion-based information provision" means providing information or answers in a form that is appropriate to the user's recognized emotions.

[1008] A "server" is a computer device that receives data sent from a user terminal and performs data summarization, question answering, emotion recognition, and the like.

[1009] "Cloud storage" is a data storage service available over the internet that securely stores data and makes it accessible when needed.

[1010] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the products a user purchases, and communicates them to the user in an easy-to-understand manner, and it also combines an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[1011] System Configuration

[1012] The system consists of the following main components:

[1013] 1. User terminal: A device equipped with a camera that can scan contracts and regulations and obtain image data. This includes smartphones and tablets.

[1014] 2. Server: A computing device that receives image data, converts it into text data using optical character recognition (OCR) technology, and performs summarization using a generative AI model.

[1015] 3. Cloud storage: An online service that securely stores summarized text data and question and answer data, allowing users to access them whenever they need.

[1016] Hardware and Software

[1017] OCR technology: Uses the pytesseract library to extract text data from images.

[1018] Generative AI model: Summarizes text data using the pipeline function of the transformers library.

[1019] Emotion Recognition: Analyzes the user's facial expressions and tone of voice using face_recognition and emotion recognition libraries.

[1020] Cloud Storage: Save data to Amazon S3 cloud storage using boto3 library.

[1021] Data processing and calculation

[1022] 1. Data acquisition and transformation:

[1023] The user scans the contract using the device's camera, and the image data is converted to text using OCR processing by pytesseract. The converted text data is temporarily stored on the device and then sent to the server.

[1024] 2. Summarization:

[1025] The server inputs the received text data into a generative AI model for summarization. The generative AI model is trained using the transformers library, which analyzes the text data, extracts important information, and generates a summary.

[1026] 3. Emotion recognition:

[1027] The device collects the user's facial expressions and tone of voice through a camera and microphone, and analyzes them using face_recognition and emotion recognition libraries. The emotion data is sent to a server and used to provide summaries and feedback on answers.

[1028] 4. Cloud Storage:

[1029] The summarized text and question-and-answer data are stored in Amazon S3 cloud storage using the boto3 library, allowing users to review the data whenever needed.

[1030] Examples of concrete examples and prompts

[1031] Specific examples

[1032] When a user signs up for a new electronic payment service, the contract is scanned to quickly obtain a simplified summary, such as "Monthly fee is 5,000 yen, contract period is one year, and penalty fee is 5,000 yen if cancellation occurs during the contract period."

[1033] When a user requests deeper understanding based on their emotions, the system provides appropriate supplementary information. For example, when a user types in "What are the data usage charges?", the system responds with "Up to 10GB per month is free, and anything above that costs 500 yen per GB."

[1034] Prompt Sentence Examples

[1035] 1. OCR processing:

[1036] "Please take a photo of the contract and convert it into text data using OCR."

[1037] 2. Summarization:

[1038] "Please summarize the following text: {Contract text}"

[1039] 3. Emotion recognition:

[1040] "Capture the user's facial expressions and recognize their emotions."

[1041] In this way, the present invention allows users to easily understand the contract details and receive appropriate feedback based on their emotions. In addition, the data storage function using cloud storage provides the convenience of easily checking past information at any time.

[1042] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1043] Step 1:

[1044] The user scans the contract using the device's camera. The input is the physical contract, and the output is a scanned image. This image data is important for proceeding to the next step.

[1045] Step 2:

[1046] The image data scanned by the device is OCR processed using the pytesseract library. The input is the image data obtained in step 1, and the output is text data. This text data is temporarily saved on the device.

[1047] Step 3:

[1048] The terminal sends the text data obtained by OCR processing to the server. The input is the text data after OCR processing, and the output is the completion of data transmission to the server. The server receives this data and prepares it for processing in the next step.

[1049] Step 4:

[1050] The server inputs the received text data into a generative AI model and performs summarization. The input is the text data received by the server, and the output is the summarized text. The server generates this summarized text using a generative AI model (for example, the pipeline function of the transformers library).

[1051] Step 5:

[1052] The server sends the summarized text to the user terminal. The input is the generated summary text, and the output is the completion of data transmission to the user terminal. The user terminal receives this data and proceeds to the next step.

[1053] Step 6:

[1054] The terminal displays the received summary to the user. The input is the summary text, and the output is the summary information displayed on the user interface. The user understands the contract contents based on this summary.

[1055] Step 7:

[1056] The device collects the user's facial expressions and tone of voice using a camera and microphone, and analyzes them using an emotion recognition library (e.g., face_recognition). The input is the user's facial expressions and voice data, and the output is the recognized emotion data. This emotion data is sent to the server.

[1057] Step 8:

[1058] The user checks the summary and enters additional questions if necessary. The input is the question entered by the user, and the output is that the terminal sends the question to the server, which receives this data.

[1059] Step 9:

[1060] The server inputs the received question and emotion data into the generative AI model to generate an appropriate answer. The input is the question text and emotion data, and the output is the generated answer text. The answer is adjusted based on the emotion data.

[1061] Step 10:

[1062] The server sends the generated answer to the user terminal. The input is the generated answer sentence, and the output is the completion of data transmission to the user terminal. The user terminal receives this data and displays it to the user.

[1063] Step 11:

[1064] The device stores the summary, question, and answer data in cloud storage. The input is the summary text, question, and answer text, and the output is data securely stored in cloud storage. The user can access and review this data whenever necessary.

[1065] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1066] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1067] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[1068] [Third embodiment]

[1069] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1070] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1071] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1072] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[1073] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1074] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1075] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1076] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1077] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1078] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1079] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1080] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[1081] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the products a user purchases, and communicates them to the user in an easy-to-understand manner. A specific embodiment of this system will be described below.

[1082] User device operation

[1083] 1. Scanning and OCR

[1084] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[1085] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[1086] The terminal temporarily stores the converted text data and transmits it to the server.

[1087] 2. Summarizing the Regulation Text

[1088] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[1089] The server returns the generated summary in text form to the user terminal.

[1090] 3. Presenting a summary and answering follow-up questions

[1091] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1092] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[1093] The terminal sends a question to the server.

[1094] The server inputs the question into the AI ​​model and generates an answer. For example, it might say, "Your data plan is free up to 10GB per month. After that, additional charges are 500 yen per GB."

[1095] The server generates a response and sends it back to the terminal.

[1096] The terminal displays the received answer to the user.

[1097] 4. Data saving and review function

[1098] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[1099] Cloud servers store your data securely and make it accessible when you need it.

[1100] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[1101] Specific examples

[1102] Scenario: A user signs up for a new mobile phone contract.

[1103] 1. User device: The user scans the contract on their mobile phone.

[1104] The contract is photographed with a camera and converted into text data using OCR technology.

[1105] The terminal transmits the converted text data to the server.

[1106] 2. Server: Inputs the received text data into the AI ​​summarization model.

[1107] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[1108] The summary is sent back to the user's terminal.

[1109] 3. Terminal: displays the received summary to the user.

[1110] Specifically, it will display "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1111] 4. User: Review the summary and enter any questions.

[1112] For example, type "What's my data plan?"

[1113] 5. Terminal: Sends the question to the server.

[1114] The server inputs questions into the AI, which generates answers.

[1115] 6. Server: "The data plan is free up to 10GB per month. After that, it costs 500 yen per GB."

[1116] The answer is sent back to the device.

[1117] 7. Terminal: Displays the received answer to the user.

[1118] 8. Device: Save summaries and questions / answers in the cloud.

[1119] Allow the user to revisit later.

[1120] This system allows users to quickly understand complex terms and conditions, avoid missing important information, and enter into contracts with confidence. It also improves user convenience by providing a means to quickly resolve any questions.

[1121] The processing flow will be explained below.

[1122] Step 1:

[1123] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[1124] Step 2:

[1125] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[1126] Step 3:

[1127] The terminal temporarily stores the converted text data.

[1128] Step 4:

[1129] The terminal transmits the stored text data to the server.

[1130] Step 5:

[1131] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[1132] Step 6:

[1133] The server returns the generated summary in text form to the terminal.

[1134] Step 7:

[1135] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1136] Step 8:

[1137] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[1138] Step 9:

[1139] The terminal sends a question to the server.

[1140] Step 10:

[1141] The server inputs the question into the AI ​​model, which analyzes the question and generates an answer.

[1142] Step 11:

[1143] The server generates a response and sends it back to the terminal.

[1144] Step 12:

[1145] The terminal displays the received answer to the user.

[1146] Step 13:

[1147] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[1148] Step 14:

[1149] Cloud servers store your data securely and make it accessible when you need it.

[1150] Step 15:

[1151] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[1152] Example 1

[1153] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1154] Conventional contracts and regulations are complex and difficult for users to carefully review. This can lead to important information being overlooked or misunderstood. Furthermore, when users have questions about the contract, there are limited ways to quickly resolve them. Given this background, there is a demand for a system that allows users to easily understand the contract and quickly resolve any questions.

[1155] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1156] In this invention, the server includes means for receiving text data converted by OCR, means for summarizing the text data using an AI summarization model, means for transmitting the summarized text to a user terminal, means for accepting and analyzing follow-up questions from the user and generating answers, means for transmitting the generated answers to the user terminal and displaying them, and means for saving the summaries, questions, and answers in cloud storage, thereby enabling users to concisely understand the contents of the document, avoid missing important information, and quickly resolve any questions.

[1157] A "user terminal" refers to a computer system or part of a computer system that can be directly operated by a user, and specifically includes a smartphone, a tablet terminal, or a personal computer.

[1158] "Scanning" refers to the process of reading physical information such as documents or images as digital data, and is often done using the camera function built into the user's device.

[1159] "Optical character recognition (OCR)" refers to a technology that extracts character information from image data and converts it into text data.

[1160] "Text data" refers to data that represents letters and symbols in digital form, and is converted from image data using OCR or other methods.

[1161] A "server" refers to a computer system that communicates with other computer systems via a network and processes and stores data.

[1162] An "artificial intelligence model" refers to an algorithm that performs advanced analysis and predictions based on large amounts of data, and in this context is used specifically to summarize text data.

[1163] A "summary" refers to a document that extracts important information from long text data and summarizes it concisely.

[1164] "Cloud storage" refers to a remote server storage service that allows data to be stored and accessed over the Internet.

[1165] "Question" refers to text entered by a user through the system to resolve a question or uncertainty.

[1166] "Answer" refers to text containing a solution or information generated by the system in response to an input question.

[1167] "Preservation" refers to the act of storing digital data for a long period of time and making it accessible at a later date.

[1168] "Redisplay" refers to the act of displaying previously saved data on the screen again.

[1169] This invention is a system in which an artificial intelligence (AI) model summarizes the terms and conditions of a service or product a user purchases and communicates them to the user in an easy-to-understand manner. Detailed embodiments of the invention are described below.

[1170] Document scanning and OCR

[1171] The user launches a dedicated app and uses the app's camera function to scan a contract or agreement document. For example, the user uses a smartphone, tablet, or other device. The device passes the captured image to an OCR (optical character recognition) module, which analyzes the image using a tool such as Tesseract OCR and converts it into text data. The converted text data is temporarily stored on the device and then sent to a server.

[1172] Summarization of the regulation text

[1173] The server inputs the received text data into an AI summarization model, using natural language processing techniques such as OpenAI's GPT-3 model. The AI ​​summarization model analyzes the text data, extracts important information, and generates a summary. The generated summary is then sent from the server to the user's device.

[1174] Presenting a summary and answering follow-up questions

[1175] The user terminal displays the received summary to the user. Specifically, information such as "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if the contract is cancelled during the contract period" is displayed. After checking the summary, the user can enter any questions or additional information. For example, the user can enter a question such as "What is the data plan?" The terminal then sends the entered question to the server.

[1176] The server inputs the received question into the AI ​​model and generates an appropriate answer to the question. An example of an answer would be, "Data plans are free up to 10GB per month, after which an additional charge of 500 yen per GB will be generated." The generated answer is sent from the server to the user's device and displayed to the user.

[1177] Data saving and review function

[1178] The user device uploads the summarized terms and conditions and the user's questions and answers to a cloud storage service, such as Amazon Web Services (AWS) S3 or Google Cloud Storage. The cloud server securely stores the data, and the user can retrieve and view the stored data through the app if they wish to review it.

[1179] Specific examples

[1180] Scenario: A user signs up for a new mobile phone contract.

[1181] 1. User device: The user scans the contract on their mobile phone, taking a picture of it with their camera, converting it into text data using OCR technology, and sending it to the server.

[1182] 2. Server: Inputs the received text data into the AI ​​summarization model, extracts important information, generates a summary, and sends it back to the user device.

[1183] 3. Device: The received summary is displayed to the user, who can review the summary and enter any questions they may have, such as "What's my data plan?"

[1184] 4. Server: The question is input into the AI ​​model, and an answer is generated: "The data plan is free up to 10GB per month. After that, an additional charge of 500 yen per GB will be applied." This is then sent back to the device.

[1185] 5. Terminal: Displays the received answer to the user.

[1186] 6. On the device: The summary and questions and answers are stored in the cloud so that users can review them later.

[1187] Prompt Sentence Examples

[1188] Below are some example prompts to input to a generative AI model:

[1189] "Please summarize this contract. Please extract the key clauses and important information and summarize it concisely."

[1190] Please tell me about the penalty for breaking this agreement.

[1191] "Please tell me the details of this data plan."

[1192] This allows users to quickly understand the complex terms and conditions, avoid missing important information, and enter into contracts with confidence. It also improves user convenience by providing a means to quickly resolve any questions.

[1193] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1194] Step 1:

[1195] The user opens the dedicated app and activates the camera function.

[1196] Input: User action to activate the camera

[1197] Operation: The user terminal starts the camera and prepares to take a picture of a document.

[1198] Output: Camera is activated

[1199] Step 2:

[1200] The user takes a photo of a document such as a contract or agreement with a camera.

[1201] Input: User takes a photo of a document with the camera

[1202] Operation: The user device takes a picture of a document with its camera and generates image data.

[1203] Output: Captured image data

[1204] Step 3:

[1205] The device passes the captured image to the OCR module.

[1206] Input: Photographed image data

[1207] How it works: The device transfers image data to the OCR module, which begins analyzing the image using software such as Tesseract OCR.

[1208] Output: Image data transferred to the OCR module

[1209] Step 4:

[1210] The OCR module analyzes the image and converts it into text data.

[1211] Input: Image data transferred to the OCR module

[1212] How it works: The OCR module recognizes characters from an image and converts them into text data. It also performs image preprocessing such as automatic brightness adjustment and noise reduction.

[1213] Output: Generated text data

[1214] Step 5:

[1215] The terminal temporarily stores the converted text data and transmits it to the server.

[1216] Input: Generated text data

[1217] How it works: The device temporarily stores the text data and then sends it to the server, using data compression techniques (e.g., GZIP) to optimize communication speed.

[1218] Output: Text data sent to the server

[1219] Step 6:

[1220] The server inputs the received text data into an AI summarization model.

[1221] Input: Text data sent to the server

[1222] How it works: The server inputs text data into an AI summarization model (e.g., OpenAI GPT-3).

[1223] Output: Text data sent to the AI ​​summarization model

[1224] Step 7:

[1225] An AI summarization model analyzes the text data and generates a summary.

[1226] Input: Text data sent to the AI ​​summarization model

[1227] How it works: The AI ​​summarization model uses natural language processing techniques to extract key information from a text and generate a summary.

[1228] Output: Generated summary text

[1229] Step 8:

[1230] The server returns the generated summary to the user terminal.

[1231] Input: Generated summary text

[1232] How it works: The server sends the summary text back to the user's device. It uses data encryption and TLS (Transmission Layer Security) to send the data securely.

[1233] Output: Summary text sent to the user's terminal

[1234] Step 9:

[1235] The terminal displays the received summary to the user.

[1236] Input: Summary text sent to the user terminal

[1237] Action: The terminal displays the summary text to the user.

[1238] Output: Summary text displayed to the user

[1239] Step 10:

[1240] The user reviews the summary and enters any questions or concerns.

[1241] Input: The user checks the summary text and enters any questions or additional information.

[1242] How it works: The user reviews the summary and then texts in any follow-up questions. Voice input and chatbot interfaces are also available.

[1243] Output: Additional questions entered on the user's terminal

[1244] Step 11:

[1245] The terminal sends a question to the server.

[1246] Input: Additional questions entered into the user's terminal

[1247] How it works: The device sends a query to the server, which uses encryption to ensure data integrity and security.

[1248] Output: The question sent to the server

[1249] Step 12:

[1250] The server inputs the question into the AI ​​model and generates an answer.

[1251] Input: The question sent to the server

[1252] How it works: The server inputs a question into the AI ​​model, which uses contextual understanding to generate an answer.

[1253] Output: Generated answer text

[1254] Step 13:

[1255] The server generates a response and sends it back to the terminal.

[1256] Input: Generated answer text

[1257] Operation: The server returns the answer text to the user terminal.

[1258] Output: Answer text sent to the terminal

[1259] Step 14:

[1260] The terminal displays the received answer to the user.

[1261] Input: Answer text sent to the terminal

[1262] Action: The terminal displays the answer text to the user, resolving the question.

[1263] Output: The answer text displayed to the user

[1264] Step 15:

[1265] The device uploads the summary and questions and answers to a cloud storage service.

[1266] Input: Summary text, Question and Answer text

[1267] How it works: The device uploads this data to cloud storage, encrypting the data and controlling access.

[1268] Output: Data stored in cloud storage

[1269] Step 16:

[1270] A cloud server stores the data and provides access if the user wants to review it.

[1271] Input: Data stored in cloud storage

[1272] How it works: Cloud servers store your data securely and make it accessible to you when you need it.

[1273] Output: Stored data that can be accessed when needed

[1274] This allows users to quickly understand complex contract details, avoid missing important information, and conclude contracts with confidence. It also improves user convenience by providing a means to quickly resolve any questions.

[1275] (Application example 1)

[1276] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1277] The contents of conventional contracts and regulations are very complicated, and many users often miss important information. It is also difficult to get a quick answer to a question of interest. Furthermore, there are limited ways to reconfirm the information obtained, which often reduces user convenience.

[1278] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1279] In this invention, the server includes means for generating answers in real time using a generative AI model to specific questions about the terms and conditions or contract contents, means for saving the provided answers and summaries in cloud storage so that the summaries and answers can be reviewed later, and means for asking questions about the terms and conditions or contract contents to the generative AI model on a user terminal and receiving the answers. This allows users to quickly understand the complex terms and conditions, conclude a contract without missing any important information, and further allows users to resolve any questions in real time, greatly improving user convenience.

[1280] A "user terminal" is a device used by a user, such as a smartphone or tablet, that has a camera function and an Internet connection function.

[1281] "Scanning" is the act of capturing a physical document as a digital image using a camera or scanner.

[1282] "Optical character recognition" is a technology for extracting character data from an image, and is an abbreviation for OCR (Optical Character Recognition).

[1283] "Text data" is data in a digital format that represents information such as letters and symbols.

[1284] A "server" is a computer system that processes, stores, and distributes data over a network.

[1285] An "artificial intelligence model" is an algorithm or system that uses AI technology to analyze data and generate summaries or answers.

[1286] A "generative AI model" is an AI technology that generates summaries of text and answers to questions, particularly based on natural language processing.

[1287] A "summary" is a shortened summary of the main information in the text data.

[1288] A "question" is an inquiry seeking specific information.

[1289] To "generate" means to create new data or results based on specific inputs.

[1290] "Cloud storage" is an online storage service that allows you to store, manage, and back up data over the Internet.

[1291] "Reconfirmation" is the act of reconfirming previously obtained information.

[1292] "Real time" means that data processing and responses are performed immediately, and a response can be made instantly to user operations.

[1293] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the products a user purchases, and communicates them to the user in an easy-to-understand manner. The following describes the specific configuration of this system.

[1294] System Overview

[1295] This system processes and stores various data using user devices (such as smartphones), servers, and cloud storage services. Users can easily understand complex contracts and regulations by using a dedicated application installed on their device.

[1296] Hardware and software used

[1297] User device: A smartphone or tablet with a camera function.

[1298] OCR module: Optical character recognition software, such as Tesseract, installed on the device.

[1299] Generative AI models: Algorithms such as OpenAI GPT-3 that use natural language processing to generate summaries and answer questions.

[1300] Cloud storage: Online data storage services such as Google Cloud Storage.

[1301] Processing flow

[1302] 1. Scanning and OCR

[1303] The user opens the dedicated app, activates the camera function, and takes a picture of a document (e.g., a contract or agreement) with the camera.

[1304] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[1305] The terminal temporarily stores the converted text data and transmits it to the server.

[1306] 2. Summarizing the Regulation Text

[1307] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[1308] The server returns the generated summary in text form to the user terminal.

[1309] 3. Presenting a summary and answering follow-up questions

[1310] The terminal displays the received summary to the user. For example, it is displayed as follows:

[1311] "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1312] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[1313] The terminal sends a question to the server.

[1314] The server inputs the question into the AI ​​model and generates an answer. For example, it is generated as follows:

[1315] "Data plans are free up to 10GB per month, after which additional charges are 500 yen per GB."

[1316] The server generates a response and sends it back to the terminal.

[1317] The terminal displays the received answer to the user.

[1318] 4. Data saving and review function

[1319] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[1320] Cloud servers store your data securely and make it accessible when you need it.

[1321] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[1322] Specific examples

[1323] Scenario: A user signs up for a new electronic payment service.

[1324] 1. User Device:

[1325] The user scans an electronic payment contract, which is then photographed with a camera and converted into text data using OCR technology.

[1326] The terminal transmits the converted text data to the server.

[1327] 2. Server:

[1328] The received text data is input into an AI summarization model.

[1329] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[1330] The summary is sent back to the user's terminal.

[1331] 3. Terminal:

[1332] The received summary is displayed to the user in a format such as "Monthly fee is 5,000 yen, contract period is two years, penalty fee is 10,000 yen if cancellation occurs during the contract period."

[1333] 4. User:

[1334] Check the summary and enter any questions you have. Enter "What's my data plan?"

[1335] 5. Server:

[1336] The question is input into the AI ​​model, and an answer is generated: "Your data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be generated."

[1337] 6. Terminal:

[1338] The received response is displayed to the user.

[1339] 7. Save:

[1340] Save summaries and questions and answers to the cloud so users can review them later.

[1341] Prompt Sentence Examples

[1342] Summarize the following text:

[1343] Contract period: 2 years

[1344] Monthly fee: 5,000 yen

[1345] Penalty: 10,000 yen

[1346] Data plan: Free up to 10GB per month, then 500 yen per GB

[1347] summary:

[1348] The above is a description of the mode for carrying out the invention. This system allows users to quickly understand the complex contents of a contract and conclude the contract without missing any important information. It also provides a means for quickly resolving any questions, improving user convenience.

[1349] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1350] Step 1:

[1351] The user opens the dedicated app and activates the camera function. The user uses the camera to take a picture of a document such as a contract or agreement. The captured image is imported into the device as input data. The device passes the image to the OCR module, which analyzes the image and converts it into text data. The converted text data is output to the device and temporarily saved.

[1352] Step 2:

[1353] The terminal sends the converted text data to the server, which then receives the text data as input data and stores it for further processing.

[1354] Step 3:

[1355] The server passes the received text data to the AI ​​summarization model, which analyzes the text data, extracts important information, and generates a summary. The summarized text data is then output to the server.

[1356] Step 4:

[1357] The server returns the generated summary in text format to the user's terminal. The terminal takes the received summary as input data and displays it in a format that is easy for the user to understand. For example, it may display "Monthly fee is 5,000 yen, contract period is two years, penalty fee is 10,000 yen if cancellation occurs during the contract period."

[1358] Step 5:

[1359] The user reviews the summary and enters a follow-up question into the app, such as "What's my data plan?" The user's input is captured as input data on the device.

[1360] Step 6:

[1361] The device sends the user's question to the server. The server takes the received question as input data and inputs it into the AI ​​model. The AI ​​model analyzes the question and generates an appropriate answer. For example, it outputs "Data plan is free up to 10GB per month. After that, additional charges are 500 yen per GB."

[1362] Step 7:

[1363] The server returns the generated answer to the user terminal, which takes the received answer as input data and displays it to the user.

[1364] Step 8:

[1365] The device uploads the summarized terms and conditions, along with the user's questions and answers, to a cloud storage service. The cloud server securely stores the data and makes it accessible when needed. If the user wants to review it, they can operate the app to retrieve the stored data from the cloud and display it.

[1366] The above are the specific processing steps for implementing the invention. This system allows users to quickly understand complex contract contents and conclude contracts without missing important information. It also provides a means to quickly resolve any questions, improving user convenience.

[1367] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1368] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the contract details of the products they purchase, and communicates this information to the user in an easy-to-understand manner, and it also combines an emotion engine that recognizes the user's emotions. A specific embodiment of this system will be described below.

[1369] User device operation

[1370] 1. Scanning and OCR

[1371] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[1372] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[1373] The terminal temporarily stores the converted text data and transmits it to the server.

[1374] 2. Summarizing the Regulation Text

[1375] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[1376] The server returns the generated summary in text form to the user terminal.

[1377] 3. Summary Presentation and Emotion Recognition

[1378] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1379] The device activates an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[1380] 4. Handling additional questions

[1381] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[1382] The terminal sends the question to the server and also sends the user's emotion data at the same time.

[1383] The server inputs the question into the AI ​​model, which analyzes the question and generates an answer.

[1384] 5. Adjust based on responses and emotions

[1385] The server returns the generated answer to the user terminal.

[1386] The device displays the received answer to the user, and if necessary, adjusts the answer based on the recognized user emotion.

[1387] 6. Data saving and review function

[1388] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[1389] Cloud servers store your data securely and make it accessible when you need it.

[1390] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[1391] Specific examples

[1392] Scenario: A user signs up for a new mobile phone contract.

[1393] 1. User device: The user scans the contract on their mobile phone.

[1394] The contract is photographed with a camera and converted into text data using OCR technology.

[1395] The terminal transmits the converted text data to the server.

[1396] 2. Server: Inputs the received text data into the AI ​​summarization model.

[1397] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[1398] The summary is sent back to the user's terminal.

[1399] 3. Terminal: displays the received summary to the user.

[1400] Specifically, it will display "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1401] At the same time, an emotion engine is activated to recognize the user's emotions using facial expressions and voice.

[1402] 4. User: Review the summary and enter any questions.

[1403] For example, type "What's my data plan?"

[1404] Emotion data is also sent to the server along with the question.

[1405] 5. Server: Inputs questions into the AI ​​model and generates answers.

[1406] "The data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be applied," he replied.

[1407] The answer is adjusted based on the user's emotional data and sent back to the terminal.

[1408] 6. Terminal: Displays the received answer to the user.

[1409] Adjust the display method and content depending on the emotion.

[1410] 7. Device: Save summaries and questions / answers in the cloud.

[1411] Allow the user to revisit later.

[1412] This system not only makes it easier for users to understand the terms and conditions, but also provides information that responds to changes in emotions, thereby improving user convenience and satisfaction.

[1413] The processing flow will be explained below.

[1414] Step 1:

[1415] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[1416] Step 2:

[1417] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[1418] Step 3:

[1419] The terminal temporarily stores the converted text data.

[1420] Step 4:

[1421] The terminal transmits the stored text data to the server.

[1422] Step 5:

[1423] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[1424] Step 6:

[1425] The server returns the generated summary in text form to the terminal.

[1426] Step 7:

[1427] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1428] Step 8:

[1429] The device activates an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[1430] Step 9:

[1431] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[1432] Step 10:

[1433] The device sends the question and the user's emotion data to the server.

[1434] Step 11:

[1435] The server inputs the question into the AI ​​model, which analyzes the question and generates an answer.

[1436] Step 12:

[1437] The server adjusts the generated answer based on the user's emotion data and returns it to the user terminal.

[1438] Step 13:

[1439] The device displays the received response to the user, adjusting the display method and content depending on the user's emotion.

[1440] Step 14:

[1441] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[1442] Step 15:

[1443] Cloud servers store your data securely and make it accessible when you need it.

[1444] Step 16:

[1445] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[1446] Example 2

[1447] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1448] Conventional document processing systems require users to spend a lot of time and effort to understand complex documents such as contracts and regulations. Furthermore, these systems lack the ability to recognize users' emotions, making it difficult to provide appropriate psychological support. Furthermore, even when users have questions, answers are not provided immediately, hindering the improvement of the user experience. A new system is needed to solve these problems.

[1449] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes: means for scanning a document on a user terminal and converting it into text data using optical character recognition; means for transmitting the generated text data to the server; means for using an artificial intelligence model to summarize the received text data; means for transmitting the summarized text to the user terminal; means for displaying the summarized text on the user terminal; means for analyzing the user's facial expression and tone of voice to recognize emotions; means for accepting follow-up questions from the user; means for transmitting the questions and emotional data to the server; means for analyzing the questions and generating answers on the server; means for transmitting the generated answers to the user terminal and displaying them; and means for storing the summaries, questions, and answers in cloud storage. This enables users to quickly understand complex documents and receive support that takes emotions into consideration. The user experience is significantly improved because users can instantly ask follow-up questions and receive appropriate answers on the spot.

[1450] A "user terminal" is a device operated by a user, and includes a smartphone, tablet, PC, etc.

[1451] "Optical character recognition" refers to a technology that analyzes characters contained in an image and converts them into text data.

[1452] "Text data" refers to data containing digital text generated by optical character recognition.

[1453] "Server" refers to a computer system for processing and storing data.

[1454] An "artificial intelligence model" refers to an algorithm that uses machine learning and deep learning technologies to analyze and generate data.

[1455] A "summary" is a document that extracts the main points and important information from text data and summarizes them briefly.

[1456] "Means for recognizing emotions" refers to technology that analyzes a user's facial expressions and tone of voice to determine their emotional state.

[1457] "Cloud storage" refers to a server infrastructure for storing and managing data over the Internet.

[1458] "Follow-up questions" refer to questions that users ask about further information or unclear points after reviewing the summarized text.

[1459] An "answer" refers to a response generated by the server in response to a follow-up question from the user.

[1460] This invention is a system in which AI summarizes the terms and conditions of a service or product a user purchases and communicates them to the user in an easy-to-understand manner. Furthermore, this system is combined with an emotion engine that recognizes the user's emotions. A specific embodiment of the system of this invention is described below.

[1461] User device operation

[1462] To use this system, a user first installs a dedicated app. The user opens the app and activates the camera function. This camera function is used to take a photo of a document such as a contract or terms and conditions. The image taken with the camera is then passed to an optical character recognition (OCR) module. This OCR module can be, for example, Google Cloud Vision or Tesseract. The OCR module analyzes the image and converts it into text data.

[1463] The device temporarily stores the converted text data and then securely transmits it to a server using the HTTPS protocol. The server receives the text data and passes it to an AI summarization model, such as OpenAI's GPT-4 or Hugging Face's Transformers library. The AI ​​summarization model analyzes the text data, extracts key information, and generates a summary.

[1464] The summary results are sent back from the server to the user's device, which then displays the summarized text to the user. An example of a display message might be, "Monthly fee is 5,000 yen, contract period is two years, penalty fee is 10,000 yen if cancellation occurs during the contract period." At the same time, an emotion engine is activated that analyzes the user's facial expressions and tone of voice to recognize emotions. This emotion engine can use Microsoft Azure's Emotion API or some deep learning models.

[1465] Next, the user reviews the summary and enters any unclear points or additional questions into an input form within the app. For example, they can ask, "What is the data plan like?" This question is sent to the server along with emotional data. The server inputs the question and emotional data into an AI model to generate an answer. The generated answer might be something like, "Your data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be applied."

[1466] The generated answer is sent back from the server to the user's device, where it is displayed to the user. At this time, the display method and content can be adjusted according to the user's emotions. For example, if the user seems anxious, the answer content will be made more detailed and displayed in a way that gives the user a sense of security.

[1467] Finally, the summary and question and answer data are uploaded to a cloud storage service, such as Amazon S3 or Google Cloud Storage, where the data is stored securely and can be viewed by the user at a later date.

[1468] Specific examples

[1469] Scenario: A user signs up for a new mobile phone contract.

[1470] 1. User device: The user scans the contract on their mobile phone.

[1471] The contract is photographed with a camera and converted into text data using OCR technology.

[1472] The terminal transmits the converted text data to the server.

[1473] 2. Server: Inputs the received text data into the AI ​​summarization model.

[1474] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[1475] The summary is sent back to the user's terminal.

[1476] 3. Terminal: displays the received summary to the user.

[1477] Specifically, it will display "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1478] At the same time, an emotion engine is activated to recognize the user's emotions using facial expressions and voice.

[1479] 4. User: Review the summary and enter any questions.

[1480] For example, type "What's my data plan?"

[1481] Emotion data is also sent to the server along with the question.

[1482] 5. Server: Inputs questions into the AI ​​model and generates answers.

[1483] "The data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be applied," he replied.

[1484] The answer is adjusted based on the user's emotional data and sent back to the terminal.

[1485] 6. Terminal: Displays the received answer to the user.

[1486] Adjust the display method and content depending on the emotion.

[1487] 7. Device: Save summaries and questions / answers in the cloud.

[1488] Allow the user to revisit later.

[1489] This system makes it easier for users to understand the terms and conditions and provides information that responds to changes in emotions, thereby improving user convenience and satisfaction.

[1490] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1491] Step 1:

[1492] The user opens the dedicated app and activates the camera function. First, the user takes a photo of a document (such as a contract or terms and conditions) with the camera. The input is an image of the document that was taken. The output is the image data. Specifically, the user presses the shutter button on the camera.

[1493] Step 2:

[1494] The device passes the captured image to the OCR module. The OCR module is software installed on the device that converts the image into text data. The input is image data. The output is text data extracted from the image. Image recognition is performed using Google Cloud Vision or Tesseract.

[1495] Step 3:

[1496] The terminal temporarily stores the converted text data and sends it to the server using the HTTPS protocol. The input is the text data generated by OCR. The output is the text data sent to the server. This includes encrypting the data before sending.

[1497] Step 4:

[1498] The server inputs the received text data into an AI summarization model. OpenAI's GPT-4 and Hugging Face's Transformers library are used as the AI ​​summarization model. The input is text data. The output is summarized text data. Specifically, the server sends a prompt to the generation AI model.

[1499] Step 5:

[1500] The server returns the generated summary in text format to the user terminal. The input is the summarized text data. The output is the summary text sent to the user terminal. The transmission uses the HTTPS protocol.

[1501] Step 6:

[1502] The terminal displays the received summary to the user. The input is the summary text received from the server. The output is the summary text displayed on the user's screen. The specific operation is to lay out the summary text on the screen and display it.

[1503] Step 7:

[1504] The device starts an emotion engine and analyzes the user's facial expressions and tone of voice to recognize emotions. The input is the user's facial image and voice data acquired from the camera and microphone. The output is the recognized emotion data. It is possible to use the Microsoft Azure Emotion API.

[1505] Step 8:

[1506] The user checks the summary and enters any unclear points or additional questions into the input form within the app. The input is the question entered by the user. The output is the entered question. Specifically, the user enters a question and presses the "Submit" button.

[1507] Step 9:

[1508] The device sends the user's question and emotional data to the server. The input is the question and emotional data. The output is the question and emotional data sent to the server. The HTTPS protocol is used for transmission, and data is encrypted.

[1509] Step 10:

[1510] The server inputs the question into an AI model and generates an answer. The AI ​​model can be something like GPT-4. The input is the question and prompt. The output is the generated answer. The server sends a prompt to the model and receives the answer.

[1511] Step 11:

[1512] The server returns the generated answer to the user terminal. The input is the generated answer. The output is the answer sent to the user terminal. The transmission uses the HTTPS protocol.

[1513] Step 12:

[1514] The device displays the received answer to the user and adjusts the answer content based on the recognized user emotion if necessary. The input is the generated answer and emotion data. The output is the adjusted answer that is displayed to the user. Specific operations include layouting and displaying the answer content on the screen.

[1515] Step 13:

[1516] The terminal uploads the summarized terms and the user's questions and answers to a cloud storage service. The input is the summary, question, and answer data. The output is the data stored in the cloud storage. We use Amazon S3 and Google Cloud Storage.

[1517] Step 14:

[1518] The cloud server stores the data securely and makes it accessible when needed. The input is the uploaded data. The output is the data safely stored in the cloud storage.

[1519] (Application example 2)

[1520] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1521] In modern society, the contracts and terms of the services and products users use and purchase are extremely complex, requiring a great deal of time and effort to understand. In particular, in areas such as electronic payment services, it is common for users to agree to terms and conditions without fully understanding them, which can lead to problems. Furthermore, there are concerns that one-sided provision of information that ignores users' feelings will reduce their satisfaction with the service. Furthermore, there is a lack of a quick and easy way for users to reconfirm the terms of their contracts. Therefore, there is a need for a system that allows users to easily understand terms and conditions and receive support tailored to their own feelings.

[1522] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for using a generative AI model to summarize received text data, means for analyzing the user's facial expressions and voice to recognize emotions, and means for providing information based on emotions. This allows the user to easily understand the contract contents and terms and receive appropriate support based on their own emotions. In addition, the summarized text and questions and answers can be saved in cloud storage so that the user can review them later, allowing for quick and easy confirmation of the contract contents.

[1523] A "user terminal" is a computer device used by a user, which has a camera function and a display function, and is used to scan documents and display information.

[1524] "Scanning" is the process of converting a physical document into digital data, and is done using a camera.

[1525] Optical character recognition (OCR) is a technology that extracts characters from image data and converts them into text data.

[1526] A "generative AI model" is an artificial intelligence model that learns from large amounts of text data to perform summarization and question-answering.

[1527] A "summary" is a concise summary of important information extracted from text data.

[1528] "Emotion recognition" means determining whether a user is feeling something by analyzing the user's facial expression and tone of voice.

[1529] "Emotion-based information provision" means providing information or answers in a form that is appropriate to the user's recognized emotions.

[1530] A "server" is a computer device that receives data sent from a user terminal and performs data summarization, question answering, emotion recognition, and the like.

[1531] "Cloud storage" is a data storage service available over the internet that securely stores data and makes it accessible when needed.

[1532] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the products a user purchases, and communicates them to the user in an easy-to-understand manner, and it also combines an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[1533] System Configuration

[1534] The system consists of the following main components:

[1535] 1. User terminal: A device equipped with a camera that can scan contracts and regulations and obtain image data. This includes smartphones and tablets.

[1536] 2. Server: A computing device that receives image data, converts it into text data using optical character recognition (OCR) technology, and performs summarization using a generative AI model.

[1537] 3. Cloud storage: An online service that securely stores summarized text data and question and answer data, allowing users to access them whenever they need.

[1538] Hardware and Software

[1539] OCR technology: Uses the pytesseract library to extract text data from images.

[1540] Generative AI model: Summarizes text data using the pipeline function of the transformers library.

[1541] Emotion Recognition: Analyzes the user's facial expressions and tone of voice using face_recognition and emotion recognition libraries.

[1542] Cloud Storage: Save data to Amazon S3 cloud storage using boto3 library.

[1543] Data processing and calculation

[1544] 1. Data acquisition and transformation:

[1545] The user scans the contract using the device's camera, and the image data is converted to text using OCR processing by pytesseract. The converted text data is temporarily stored on the device and then sent to the server.

[1546] 2. Summarization:

[1547] The server inputs the received text data into a generative AI model for summarization. The generative AI model is trained using the transformers library, which analyzes the text data, extracts important information, and generates a summary.

[1548] 3. Emotion recognition:

[1549] The device collects the user's facial expressions and tone of voice through a camera and microphone, and analyzes them using face_recognition and emotion recognition libraries. The emotion data is sent to a server and used to provide summaries and feedback on answers.

[1550] 4. Cloud Storage:

[1551] The summarized text and question-and-answer data are stored in Amazon S3 cloud storage using the boto3 library, allowing users to review the data whenever needed.

[1552] Examples of concrete examples and prompts

[1553] Specific examples

[1554] When a user signs up for a new electronic payment service, the contract is scanned to quickly obtain a simplified summary, such as "Monthly fee is 5,000 yen, contract period is one year, and penalty fee is 5,000 yen if cancellation occurs during the contract period."

[1555] When a user requests deeper understanding based on their emotions, the system provides appropriate supplementary information. For example, when a user types in "What are the data usage charges?", the system responds with "Up to 10GB per month is free, and anything above that costs 500 yen per GB."

[1556] Prompt Sentence Examples

[1557] 1. OCR processing:

[1558] "Please take a photo of the contract and convert it into text data using OCR."

[1559] 2. Summarization:

[1560] "Please summarize the following text: {Contract text}"

[1561] 3. Emotion recognition:

[1562] "Capture the user's facial expressions and recognize their emotions."

[1563] In this way, the present invention allows users to easily understand the contract details and receive appropriate feedback based on their emotions. In addition, the data storage function using cloud storage provides the convenience of easily checking past information at any time.

[1564] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1565] Step 1:

[1566] The user scans the contract using the device's camera. The input is the physical contract, and the output is a scanned image. This image data is important for proceeding to the next step.

[1567] Step 2:

[1568] The image data scanned by the device is OCR processed using the pytesseract library. The input is the image data obtained in step 1, and the output is text data. This text data is temporarily saved on the device.

[1569] Step 3:

[1570] The terminal sends the text data obtained by OCR processing to the server. The input is the text data after OCR processing, and the output is the completion of data transmission to the server. The server receives this data and prepares it for processing in the next step.

[1571] Step 4:

[1572] The server inputs the received text data into a generative AI model and performs summarization. The input is the text data received by the server, and the output is the summarized text. The server generates this summarized text using a generative AI model (for example, the pipeline function of the transformers library).

[1573] Step 5:

[1574] The server sends the summarized text to the user terminal. The input is the generated summary text, and the output is the completion of data transmission to the user terminal. The user terminal receives this data and proceeds to the next step.

[1575] Step 6:

[1576] The terminal displays the received summary to the user. The input is the summary text, and the output is the summary information displayed on the user interface. The user understands the contract contents based on this summary.

[1577] Step 7:

[1578] The device collects the user's facial expressions and tone of voice using a camera and microphone, and analyzes them using an emotion recognition library (e.g., face_recognition). The input is the user's facial expressions and voice data, and the output is the recognized emotion data. This emotion data is sent to the server.

[1579] Step 8:

[1580] The user checks the summary and enters additional questions if necessary. The input is the question entered by the user, and the output is that the terminal sends the question to the server, which receives this data.

[1581] Step 9:

[1582] The server inputs the received question and emotion data into the generative AI model to generate an appropriate answer. The input is the question text and emotion data, and the output is the generated answer text. The answer is adjusted based on the emotion data.

[1583] Step 10:

[1584] The server sends the generated answer to the user terminal. The input is the generated answer sentence, and the output is the completion of data transmission to the user terminal. The user terminal receives this data and displays it to the user.

[1585] Step 11:

[1586] The device stores the summary, question, and answer data in cloud storage. The input is the summary text, question, and answer text, and the output is data securely stored in cloud storage. The user can access and review this data whenever necessary.

[1587] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1588] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1589] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1590] [Fourth embodiment]

[1591] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1592] 7, a 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.

[1593] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1594] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1595] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1596] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1597] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1598] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1599] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1600] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1601] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1602] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1603] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1604] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the products a user purchases, and communicates them to the user in an easy-to-understand manner. A specific embodiment of this system will be described below.

[1605] User device operation

[1606] 1. Scanning and OCR

[1607] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[1608] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[1609] The terminal temporarily stores the converted text data and transmits it to the server.

[1610] 2. Summarizing the Regulation Text

[1611] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[1612] The server returns the generated summary in text form to the user terminal.

[1613] 3. Presenting a summary and answering follow-up questions

[1614] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1615] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[1616] The terminal sends a question to the server.

[1617] The server inputs the question into the AI ​​model and generates an answer. For example, it might say, "Your data plan is free up to 10GB per month. After that, additional charges are 500 yen per GB."

[1618] The server generates a response and sends it back to the terminal.

[1619] The terminal displays the received answer to the user.

[1620] 4. Data saving and review function

[1621] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[1622] Cloud servers store your data securely and make it accessible when you need it.

[1623] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[1624] Specific examples

[1625] Scenario: A user signs up for a new mobile phone contract.

[1626] 1. User device: The user scans the contract on their mobile phone.

[1627] The contract is photographed with a camera and converted into text data using OCR technology.

[1628] The terminal transmits the converted text data to the server.

[1629] 2. Server: Inputs the received text data into the AI ​​summarization model.

[1630] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[1631] The summary is sent back to the user's terminal.

[1632] 3. Terminal: displays the received summary to the user.

[1633] Specifically, it will display "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1634] 4. User: Review the summary and enter any questions.

[1635] For example, type "What's my data plan?"

[1636] 5. Terminal: Sends the question to the server.

[1637] The server inputs questions into the AI, which generates answers.

[1638] 6. Server: "The data plan is free up to 10GB per month. After that, it costs 500 yen per GB."

[1639] The answer is sent back to the device.

[1640] 7. Terminal: Displays the received answer to the user.

[1641] 8. Device: Save summaries and questions / answers in the cloud.

[1642] Allow the user to revisit later.

[1643] This system allows users to quickly understand complex terms and conditions, avoid missing important information, and enter into contracts with confidence. It also improves user convenience by providing a means to quickly resolve any questions.

[1644] The processing flow will be explained below.

[1645] Step 1:

[1646] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[1647] Step 2:

[1648] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[1649] Step 3:

[1650] The terminal temporarily stores the converted text data.

[1651] Step 4:

[1652] The terminal transmits the stored text data to the server.

[1653] Step 5:

[1654] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[1655] Step 6:

[1656] The server returns the generated summary in text form to the terminal.

[1657] Step 7:

[1658] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1659] Step 8:

[1660] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[1661] Step 9:

[1662] The terminal sends a question to the server.

[1663] Step 10:

[1664] The server inputs the question into the AI ​​model, which analyzes the question and generates an answer.

[1665] Step 11:

[1666] The server generates a response and sends it back to the terminal.

[1667] Step 12:

[1668] The terminal displays the received answer to the user.

[1669] Step 13:

[1670] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[1671] Step 14:

[1672] Cloud servers store your data securely and make it accessible when you need it.

[1673] Step 15:

[1674] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[1675] Example 1

[1676] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1677] Conventional contracts and regulations are complex and difficult for users to carefully review. This can lead to important information being overlooked or misunderstood. Furthermore, when users have questions about the contract, there are limited ways to quickly resolve them. Given this background, there is a demand for a system that allows users to easily understand the contract and quickly resolve any questions.

[1678] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1679] In this invention, the server includes means for receiving text data converted by OCR, means for summarizing the text data using an AI summarization model, means for transmitting the summarized text to a user terminal, means for accepting and analyzing follow-up questions from the user and generating answers, means for transmitting the generated answers to the user terminal and displaying them, and means for saving the summaries, questions, and answers in cloud storage, thereby enabling users to concisely understand the contents of the document, avoid missing important information, and quickly resolve any questions.

[1680] A "user terminal" refers to a computer system or part of a computer system that can be directly operated by a user, and specifically includes a smartphone, a tablet terminal, or a personal computer.

[1681] "Scanning" refers to the process of reading physical information such as documents or images as digital data, and is often done using the camera function built into the user's device.

[1682] "Optical character recognition (OCR)" refers to a technology that extracts character information from image data and converts it into text data.

[1683] "Text data" refers to data that represents letters and symbols in digital form, and is converted from image data using OCR or other methods.

[1684] A "server" refers to a computer system that communicates with other computer systems via a network and processes and stores data.

[1685] An "artificial intelligence model" refers to an algorithm that performs advanced analysis and predictions based on large amounts of data, and in this context is used specifically to summarize text data.

[1686] A "summary" refers to a document that extracts important information from long text data and summarizes it concisely.

[1687] "Cloud storage" refers to a remote server storage service that allows data to be stored and accessed over the Internet.

[1688] "Question" refers to text entered by a user through the system to resolve a question or uncertainty.

[1689] "Answer" refers to text containing a solution or information generated by the system in response to an input question.

[1690] "Preservation" refers to the act of storing digital data for a long period of time and making it accessible at a later date.

[1691] "Redisplay" refers to the act of displaying previously saved data on the screen again.

[1692] This invention is a system in which an artificial intelligence (AI) model summarizes the terms and conditions of a service or product a user purchases and communicates them to the user in an easy-to-understand manner. Detailed embodiments of the invention are described below.

[1693] Document scanning and OCR

[1694] The user launches a dedicated app and uses the app's camera function to scan a contract or agreement document. For example, the user uses a smartphone, tablet, or other device. The device passes the captured image to an OCR (optical character recognition) module, which analyzes the image using a tool such as Tesseract OCR and converts it into text data. The converted text data is temporarily stored on the device and then sent to a server.

[1695] Summarization of the regulation text

[1696] The server inputs the received text data into an AI summarization model, using natural language processing techniques such as OpenAI's GPT-3 model. The AI ​​summarization model analyzes the text data, extracts important information, and generates a summary. The generated summary is then sent from the server to the user's device.

[1697] Presenting a summary and answering follow-up questions

[1698] The user terminal displays the received summary to the user. Specifically, information such as "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if the contract is cancelled during the contract period" is displayed. After checking the summary, the user can enter any questions or additional information. For example, the user can enter a question such as "What is the data plan?" The terminal then sends the entered question to the server.

[1699] The server inputs the received question into the AI ​​model and generates an appropriate answer to the question. An example of an answer would be, "Data plans are free up to 10GB per month, after which an additional charge of 500 yen per GB will be generated." The generated answer is sent from the server to the user's device and displayed to the user.

[1700] Data saving and review function

[1701] The user device uploads the summarized terms and conditions and the user's questions and answers to a cloud storage service, such as Amazon Web Services (AWS) S3 or Google Cloud Storage. The cloud server securely stores the data, and the user can retrieve and view the stored data through the app if they wish to review it.

[1702] Specific examples

[1703] Scenario: A user signs up for a new mobile phone contract.

[1704] 1. User device: The user scans the contract on their mobile phone, taking a picture of it with their camera, converting it into text data using OCR technology, and sending it to the server.

[1705] 2. Server: Inputs the received text data into the AI ​​summarization model, extracts important information, generates a summary, and sends it back to the user device.

[1706] 3. Device: The received summary is displayed to the user, who can review the summary and enter any questions they may have, such as "What's my data plan?"

[1707] 4. Server: The question is input into the AI ​​model, and an answer is generated: "The data plan is free up to 10GB per month. After that, an additional charge of 500 yen per GB will be applied." This is then sent back to the device.

[1708] 5. Terminal: Displays the received answer to the user.

[1709] 6. On the device: The summary and questions and answers are stored in the cloud so that users can review them later.

[1710] Prompt Sentence Examples

[1711] Below are some example prompts to input to a generative AI model:

[1712] "Please summarize this contract. Please extract the key clauses and important information and summarize it concisely."

[1713] Please tell me about the penalty for breaking this agreement.

[1714] "Please tell me the details of this data plan."

[1715] This allows users to quickly understand the complex terms and conditions, avoid missing important information, and enter into contracts with confidence. It also improves user convenience by providing a means to quickly resolve any questions.

[1716] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1717] Step 1:

[1718] The user opens the dedicated app and activates the camera function.

[1719] Input: User action to activate the camera

[1720] Operation: The user terminal starts the camera and prepares to take a picture of a document.

[1721] Output: Camera is activated

[1722] Step 2:

[1723] The user takes a photo of a document such as a contract or agreement with a camera.

[1724] Input: User takes a photo of a document with the camera

[1725] Operation: The user device takes a picture of a document with its camera and generates image data.

[1726] Output: Captured image data

[1727] Step 3:

[1728] The device passes the captured image to the OCR module.

[1729] Input: Photographed image data

[1730] How it works: The device transfers image data to the OCR module, which begins analyzing the image using software such as Tesseract OCR.

[1731] Output: Image data transferred to the OCR module

[1732] Step 4:

[1733] The OCR module analyzes the image and converts it into text data.

[1734] Input: Image data transferred to the OCR module

[1735] How it works: The OCR module recognizes characters from an image and converts them into text data. It also performs image preprocessing such as automatic brightness adjustment and noise reduction.

[1736] Output: Generated text data

[1737] Step 5:

[1738] The terminal temporarily stores the converted text data and transmits it to the server.

[1739] Input: Generated text data

[1740] How it works: The device temporarily stores the text data and then sends it to the server, using data compression techniques (e.g., GZIP) to optimize communication speed.

[1741] Output: Text data sent to the server

[1742] Step 6:

[1743] The server inputs the received text data into an AI summarization model.

[1744] Input: Text data sent to the server

[1745] How it works: The server inputs text data into an AI summarization model (e.g., OpenAI GPT-3).

[1746] Output: Text data sent to the AI ​​summarization model

[1747] Step 7:

[1748] An AI summarization model analyzes the text data and generates a summary.

[1749] Input: Text data sent to the AI ​​summarization model

[1750] How it works: The AI ​​summarization model uses natural language processing techniques to extract key information from a text and generate a summary.

[1751] Output: Generated summary text

[1752] Step 8:

[1753] The server returns the generated summary to the user terminal.

[1754] Input: Generated summary text

[1755] How it works: The server sends the summary text back to the user's device. It uses data encryption and TLS (Transmission Layer Security) to send the data securely.

[1756] Output: Summary text sent to the user's terminal

[1757] Step 9:

[1758] The terminal displays the received summary to the user.

[1759] Input: Summary text sent to the user terminal

[1760] Action: The terminal displays the summary text to the user.

[1761] Output: Summary text displayed to the user

[1762] Step 10:

[1763] The user reviews the summary and enters any questions or concerns.

[1764] Input: The user checks the summary text and enters any questions or additional information.

[1765] How it works: The user reviews the summary and then texts in any follow-up questions. Voice input and chatbot interfaces are also available.

[1766] Output: Additional questions entered on the user's terminal

[1767] Step 11:

[1768] The terminal sends a question to the server.

[1769] Input: Additional questions entered into the user's terminal

[1770] How it works: The device sends a query to the server, which uses encryption to ensure data integrity and security.

[1771] Output: The question sent to the server

[1772] Step 12:

[1773] The server inputs the question into the AI ​​model and generates an answer.

[1774] Input: The question sent to the server

[1775] How it works: The server inputs a question into the AI ​​model, which uses contextual understanding to generate an answer.

[1776] Output: Generated answer text

[1777] Step 13:

[1778] The server generates a response and sends it back to the terminal.

[1779] Input: Generated answer text

[1780] Operation: The server returns the answer text to the user terminal.

[1781] Output: Answer text sent to the terminal

[1782] Step 14:

[1783] The terminal displays the received answer to the user.

[1784] Input: Answer text sent to the terminal

[1785] Action: The terminal displays the answer text to the user, resolving the question.

[1786] Output: The answer text displayed to the user

[1787] Step 15:

[1788] The device uploads the summary and questions and answers to a cloud storage service.

[1789] Input: Summary text, Question and Answer text

[1790] How it works: The device uploads this data to cloud storage, encrypting the data and controlling access.

[1791] Output: Data stored in cloud storage

[1792] Step 16:

[1793] A cloud server stores the data and provides access if the user wants to review it.

[1794] Input: Data stored in cloud storage

[1795] How it works: Cloud servers store your data securely and make it accessible to you when you need it.

[1796] Output: Stored data that can be accessed when needed

[1797] This allows users to quickly understand complex contract details, avoid missing important information, and conclude contracts with confidence. It also improves user convenience by providing a means to quickly resolve any questions.

[1798] (Application example 1)

[1799] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1800] The contents of conventional contracts and regulations are very complicated, and many users often miss important information. It is also difficult to get a quick answer to a question of interest. Furthermore, there are limited ways to reconfirm the information obtained, which often reduces user convenience.

[1801] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1802] In this invention, the server includes means for generating answers in real time using a generative AI model to specific questions about the terms and conditions or contract contents, means for saving the provided answers and summaries in cloud storage so that the summaries and answers can be reviewed later, and means for asking questions about the terms and conditions or contract contents to the generative AI model on a user terminal and receiving the answers. This allows users to quickly understand the complex terms and conditions, conclude a contract without missing any important information, and further allows users to resolve any questions in real time, greatly improving user convenience.

[1803] A "user terminal" is a device used by a user, such as a smartphone or tablet, that has a camera function and an Internet connection function.

[1804] "Scanning" is the act of capturing a physical document as a digital image using a camera or scanner.

[1805] "Optical character recognition" is a technology for extracting character data from an image, and is an abbreviation for OCR (Optical Character Recognition).

[1806] "Text data" is data in a digital format that represents information such as letters and symbols.

[1807] A "server" is a computer system that processes, stores, and distributes data over a network.

[1808] An "artificial intelligence model" is an algorithm or system that uses AI technology to analyze data and generate summaries or answers.

[1809] A "generative AI model" is an AI technology that generates summaries of text and answers to questions, particularly based on natural language processing.

[1810] A "summary" is a shortened summary of the main information in the text data.

[1811] A "question" is an inquiry seeking specific information.

[1812] To "generate" means to create new data or results based on specific inputs.

[1813] "Cloud storage" is an online storage service that allows you to store, manage, and back up data over the Internet.

[1814] "Reconfirmation" is the act of reconfirming previously obtained information.

[1815] "Real time" means that data processing and responses are performed immediately, and a response can be made instantly to user operations.

[1816] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the products a user purchases, and communicates them to the user in an easy-to-understand manner. The following describes the specific configuration of this system.

[1817] System Overview

[1818] This system processes and stores various data using user devices (such as smartphones), servers, and cloud storage services. Users can easily understand complex contracts and regulations by using a dedicated application installed on their device.

[1819] Hardware and software used

[1820] User device: A smartphone or tablet with a camera function.

[1821] OCR module: Optical character recognition software, such as Tesseract, installed on the device.

[1822] Generative AI models: Algorithms such as OpenAI GPT-3 that use natural language processing to generate summaries and answer questions.

[1823] Cloud storage: Online data storage services such as Google Cloud Storage.

[1824] Processing flow

[1825] 1. Scanning and OCR

[1826] The user opens the dedicated app, activates the camera function, and takes a picture of a document (e.g., a contract or agreement) with the camera.

[1827] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[1828] The terminal temporarily stores the converted text data and transmits it to the server.

[1829] 2. Summarizing the Regulation Text

[1830] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[1831] The server returns the generated summary in text form to the user terminal.

[1832] 3. Presenting a summary and answering follow-up questions

[1833] The terminal displays the received summary to the user. For example, it is displayed as follows:

[1834] "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1835] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[1836] The terminal sends a question to the server.

[1837] The server inputs the question into the AI ​​model and generates an answer. For example, it is generated as follows:

[1838] "Data plans are free up to 10GB per month, after which additional charges are 500 yen per GB."

[1839] The server generates a response and sends it back to the terminal.

[1840] The terminal displays the received answer to the user.

[1841] 4. Data saving and review function

[1842] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[1843] Cloud servers store your data securely and make it accessible when you need it.

[1844] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[1845] Specific examples

[1846] Scenario: A user signs up for a new electronic payment service.

[1847] 1. User Device:

[1848] The user scans an electronic payment contract, which is then photographed with a camera and converted into text data using OCR technology.

[1849] The terminal transmits the converted text data to the server.

[1850] 2. Server:

[1851] The received text data is input into an AI summarization model.

[1852] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[1853] The summary is sent back to the user's terminal.

[1854] 3. Terminal:

[1855] The received summary is displayed to the user in a format such as "Monthly fee is 5,000 yen, contract period is two years, penalty fee is 10,000 yen if cancellation occurs during the contract period."

[1856] 4. User:

[1857] Check the summary and enter any questions you have. Enter "What's my data plan?"

[1858] 5. Server:

[1859] The question is input into the AI ​​model, and an answer is generated: "Your data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be generated."

[1860] 6. Terminal:

[1861] The received response is displayed to the user.

[1862] 7. Save:

[1863] Save summaries and questions and answers to the cloud so users can review them later.

[1864] Prompt Sentence Examples

[1865] Summarize the following text:

[1866] Contract period: 2 years

[1867] Monthly fee: 5,000 yen

[1868] Penalty: 10,000 yen

[1869] Data plan: Free up to 10GB per month, then 500 yen per GB

[1870] summary:

[1871] The above is a description of the mode for carrying out the invention. This system allows users to quickly understand the complex contents of a contract and conclude the contract without missing any important information. It also provides a means for quickly resolving any questions, improving user convenience.

[1872] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1873] Step 1:

[1874] The user opens the dedicated app and activates the camera function. The user uses the camera to take a picture of a document such as a contract or agreement. The captured image is imported into the device as input data. The device passes the image to the OCR module, which analyzes the image and converts it into text data. The converted text data is output to the device and temporarily saved.

[1875] Step 2:

[1876] The terminal sends the converted text data to the server, which then receives the text data as input data and stores it for further processing.

[1877] Step 3:

[1878] The server passes the received text data to the AI ​​summarization model, which analyzes the text data, extracts important information, and generates a summary. The summarized text data is then output to the server.

[1879] Step 4:

[1880] The server returns the generated summary in text format to the user's terminal. The terminal takes the received summary as input data and displays it in a format that is easy for the user to understand. For example, it may display "Monthly fee is 5,000 yen, contract period is two years, penalty fee is 10,000 yen if cancellation occurs during the contract period."

[1881] Step 5:

[1882] The user reviews the summary and enters a follow-up question into the app, such as "What's my data plan?" The user's input is captured as input data on the device.

[1883] Step 6:

[1884] The device sends the user's question to the server. The server takes the received question as input data and inputs it into the AI ​​model. The AI ​​model analyzes the question and generates an appropriate answer. For example, it outputs "Data plan is free up to 10GB per month. After that, additional charges are 500 yen per GB."

[1885] Step 7:

[1886] The server returns the generated answer to the user terminal, which takes the received answer as input data and displays it to the user.

[1887] Step 8:

[1888] The device uploads the summarized terms and conditions, along with the user's questions and answers, to a cloud storage service. The cloud server securely stores the data and makes it accessible when needed. If the user wants to review it, they can operate the app to retrieve the stored data from the cloud and display it.

[1889] The above are the specific processing steps for implementing the invention. This system allows users to quickly understand complex contract contents and conclude contracts without missing important information. It also provides a means to quickly resolve any questions, improving user convenience.

[1890] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1891] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the contract details of the products they purchase, and communicates this information to the user in an easy-to-understand manner, and it also combines an emotion engine that recognizes the user's emotions. A specific embodiment of this system will be described below.

[1892] User device operation

[1893] 1. Scanning and OCR

[1894] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[1895] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[1896] The terminal temporarily stores the converted text data and transmits it to the server.

[1897] 2. Summarizing the Regulation Text

[1898] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[1899] The server returns the generated summary in text form to the user terminal.

[1900] 3. Summary Presentation and Emotion Recognition

[1901] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1902] The device activates an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[1903] 4. Handling additional questions

[1904] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[1905] The terminal sends the question to the server and also sends the user's emotion data at the same time.

[1906] The server inputs the question into the AI ​​model, which analyzes the question and generates an answer.

[1907] 5. Adjust based on responses and emotions

[1908] The server returns the generated answer to the user terminal.

[1909] The device displays the received answer to the user, and if necessary, adjusts the answer based on the recognized user emotion.

[1910] 6. Data saving and review function

[1911] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[1912] Cloud servers store your data securely and make it accessible when you need it.

[1913] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[1914] Specific examples

[1915] Scenario: A user signs up for a new mobile phone contract.

[1916] 1. User device: The user scans the contract on their mobile phone.

[1917] The contract is photographed with a camera and converted into text data using OCR technology.

[1918] The terminal transmits the converted text data to the server.

[1919] 2. Server: Inputs the received text data into the AI ​​summarization model.

[1920] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[1921] The summary is sent back to the user's terminal.

[1922] 3. Terminal: displays the received summary to the user.

[1923] Specifically, it will display "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1924] At the same time, an emotion engine is activated to recognize the user's emotions using facial expressions and voice.

[1925] 4. User: Review the summary and enter any questions.

[1926] For example, type "What's my data plan?"

[1927] Emotion data is also sent to the server along with the question.

[1928] 5. Server: Inputs questions into the AI ​​model and generates answers.

[1929] "The data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be applied," he replied.

[1930] The answer is adjusted based on the user's emotional data and sent back to the terminal.

[1931] 6. Terminal: Displays the received answer to the user.

[1932] Adjust the display method and content depending on the emotion.

[1933] 7. Device: Save summaries and questions / answers in the cloud.

[1934] Allow the user to revisit later.

[1935] This system not only makes it easier for users to understand the terms and conditions, but also provides information that responds to changes in emotions, thereby improving user convenience and satisfaction.

[1936] The processing flow will be explained below.

[1937] Step 1:

[1938] The user opens the dedicated app, activates the camera function, and takes a photo of a document (e.g., a contract or agreement) with the camera.

[1939] Step 2:

[1940] The device passes the captured image to an optical character recognition (OCR) module, which analyzes the image and converts it into text data.

[1941] Step 3:

[1942] The terminal temporarily stores the converted text data.

[1943] Step 4:

[1944] The terminal transmits the stored text data to the server.

[1945] Step 5:

[1946] The server passes the received text data to an artificial intelligence (AI) summarization model, which analyzes the text data, extracts key information, and generates a summary.

[1947] Step 6:

[1948] The server returns the generated summary in text form to the terminal.

[1949] Step 7:

[1950] The terminal displays the received summary to the user. For example, it displays "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[1951] Step 8:

[1952] The device activates an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[1953] Step 9:

[1954] The user reviews the summary and enters any questions or follow-up questions, such as "What's my data plan?"

[1955] Step 10:

[1956] The device sends the question and the user's emotion data to the server.

[1957] Step 11:

[1958] The server inputs the question into the AI ​​model, which analyzes the question and generates an answer.

[1959] Step 12:

[1960] The server adjusts the generated answer based on the user's emotion data and returns it to the user terminal.

[1961] Step 13:

[1962] The device displays the received response to the user, adjusting the display method and content depending on the user's emotion.

[1963] Step 14:

[1964] The device uploads the summarized terms and the user's questions and answers to a cloud storage service.

[1965] Step 15:

[1966] Cloud servers store your data securely and make it accessible when you need it.

[1967] Step 16:

[1968] If the user wants to check again, they can operate the app to retrieve the saved data from the cloud and display it.

[1969] Example 2

[1970] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1971] Conventional document processing systems require users to spend a lot of time and effort to understand complex documents such as contracts and regulations. Furthermore, these systems lack the ability to recognize users' emotions, making it difficult to provide appropriate psychological support. Furthermore, even when users have questions, answers are not provided immediately, hindering the improvement of the user experience. A new system is needed to solve these problems.

[1972] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes: means for scanning a document on a user terminal and converting it into text data using optical character recognition; means for transmitting the generated text data to the server; means for using an artificial intelligence model to summarize the received text data; means for transmitting the summarized text to the user terminal; means for displaying the summarized text on the user terminal; means for analyzing the user's facial expression and tone of voice to recognize emotions; means for accepting follow-up questions from the user; means for transmitting the questions and emotional data to the server; means for analyzing the questions and generating answers on the server; means for transmitting the generated answers to the user terminal and displaying them; and means for storing the summaries, questions, and answers in cloud storage. This enables users to quickly understand complex documents and receive support that takes emotions into consideration. The user experience is significantly improved because users can instantly ask follow-up questions and receive appropriate answers on the spot.

[1973] A "user terminal" is a device operated by a user, and includes a smartphone, tablet, PC, etc.

[1974] "Optical character recognition" refers to a technology that analyzes characters contained in an image and converts them into text data.

[1975] "Text data" refers to data containing digital text generated by optical character recognition.

[1976] "Server" refers to a computer system for processing and storing data.

[1977] An "artificial intelligence model" refers to an algorithm that uses machine learning and deep learning technologies to analyze and generate data.

[1978] A "summary" is a document that extracts the main points and important information from text data and summarizes them briefly.

[1979] "Means for recognizing emotions" refers to technology that analyzes a user's facial expressions and tone of voice to determine their emotional state.

[1980] "Cloud storage" refers to a server infrastructure for storing and managing data over the Internet.

[1981] "Follow-up questions" refer to questions that users ask about further information or unclear points after reviewing the summarized text.

[1982] An "answer" refers to a response generated by the server in response to a follow-up question from the user.

[1983] This invention is a system in which AI summarizes the terms and conditions of a service or product a user purchases and communicates them to the user in an easy-to-understand manner. Furthermore, this system is combined with an emotion engine that recognizes the user's emotions. A specific embodiment of the system of this invention is described below.

[1984] User device operation

[1985] To use this system, a user first installs a dedicated app. The user opens the app and activates the camera function. This camera function is used to take a photo of a document such as a contract or terms and conditions. The image taken with the camera is then passed to an optical character recognition (OCR) module. This OCR module can be, for example, Google Cloud Vision or Tesseract. The OCR module analyzes the image and converts it into text data.

[1986] The device temporarily stores the converted text data and then securely transmits it to a server using the HTTPS protocol. The server receives the text data and passes it to an AI summarization model, such as OpenAI's GPT-4 or Hugging Face's Transformers library. The AI ​​summarization model analyzes the text data, extracts key information, and generates a summary.

[1987] The summary results are sent back from the server to the user's device, which then displays the summarized text to the user. An example of a display message might be, "Monthly fee is 5,000 yen, contract period is two years, penalty fee is 10,000 yen if cancellation occurs during the contract period." At the same time, an emotion engine is activated that analyzes the user's facial expressions and tone of voice to recognize emotions. This emotion engine can use Microsoft Azure's Emotion API or some deep learning models.

[1988] Next, the user reviews the summary and enters any unclear points or additional questions into an input form within the app. For example, they can ask, "What is the data plan like?" This question is sent to the server along with emotional data. The server inputs the question and emotional data into an AI model to generate an answer. The generated answer might be something like, "Your data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be applied."

[1989] The generated answer is sent back from the server to the user's device, where it is displayed to the user. At this time, the display method and content can be adjusted according to the user's emotions. For example, if the user seems anxious, the answer content will be made more detailed and displayed in a way that gives the user a sense of security.

[1990] Finally, the summary and question and answer data are uploaded to a cloud storage service, such as Amazon S3 or Google Cloud Storage, where the data is stored securely and can be viewed by the user at a later date.

[1991] Specific examples

[1992] Scenario: A user signs up for a new mobile phone contract.

[1993] 1. User device: The user scans the contract on their mobile phone.

[1994] The contract is photographed with a camera and converted into text data using OCR technology.

[1995] The terminal transmits the converted text data to the server.

[1996] 2. Server: Inputs the received text data into the AI ​​summarization model.

[1997] The AI ​​model extracts key points and important clauses from the contract and generates a summary.

[1998] The summary is sent back to the user's terminal.

[1999] 3. Terminal: displays the received summary to the user.

[2000] Specifically, it will display "The monthly fee is 5,000 yen, the contract period is two years, and the penalty fee is 10,000 yen if you cancel during the contract period."

[2001] At the same time, an emotion engine is activated to recognize the user's emotions using facial expressions and voice.

[2002] 4. User: Review the summary and enter any questions.

[2003] For example, type "What's my data plan?"

[2004] Emotion data is also sent to the server along with the question.

[2005] 5. Server: Inputs questions into the AI ​​model and generates answers.

[2006] "The data plan is free up to 10GB per month, after which an additional charge of 500 yen per GB will be applied," he replied.

[2007] The answer is adjusted based on the user's emotional data and sent back to the terminal.

[2008] 6. Terminal: Displays the received answer to the user.

[2009] Adjust the display method and content depending on the emotion.

[2010] 7. Device: Save summaries and questions / answers in the cloud.

[2011] Allow the user to revisit later.

[2012] This system makes it easier for users to understand the terms and conditions and provides information that responds to changes in emotions, thereby improving user convenience and satisfaction.

[2013] The flow of the identification process in the second embodiment will be described with reference to FIG.

[2014] Step 1:

[2015] The user opens the dedicated app and activates the camera function. First, the user takes a photo of a document (such as a contract or terms and conditions) with the camera. The input is an image of the document that was taken. The output is the image data. Specifically, the user presses the shutter button on the camera.

[2016] Step 2:

[2017] The device passes the captured image to the OCR module. The OCR module is software installed on the device that converts the image into text data. The input is image data. The output is text data extracted from the image. Image recognition is performed using Google Cloud Vision or Tesseract.

[2018] Step 3:

[2019] The terminal temporarily stores the converted text data and sends it to the server using the HTTPS protocol. The input is the text data generated by OCR. The output is the text data sent to the server. This includes encrypting the data before sending.

[2020] Step 4:

[2021] The server inputs the received text data into an AI summarization model. OpenAI's GPT-4 and Hugging Face's Transformers library are used as the AI ​​summarization model. The input is text data. The output is summarized text data. Specifically, the server sends a prompt to the generation AI model.

[2022] Step 5:

[2023] The server returns the generated summary in text format to the user terminal. The input is the summarized text data. The output is the summary text sent to the user terminal. The transmission uses the HTTPS protocol.

[2024] Step 6:

[2025] The terminal displays the received summary to the user. The input is the summary text received from the server. The output is the summary text displayed on the user's screen. The specific operation is to lay out the summary text on the screen and display it.

[2026] Step 7:

[2027] The device starts an emotion engine and analyzes the user's facial expressions and tone of voice to recognize emotions. The input is the user's facial image and voice data acquired from the camera and microphone. The output is the recognized emotion data. It is possible to use the Microsoft Azure Emotion API.

[2028] Step 8:

[2029] The user checks the summary and enters any unclear points or additional questions into the input form within the app. The input is the question entered by the user. The output is the entered question. Specifically, the user enters a question and presses the "Submit" button.

[2030] Step 9:

[2031] The device sends the user's question and emotional data to the server. The input is the question and emotional data. The output is the question and emotional data sent to the server. The HTTPS protocol is used for transmission, and data is encrypted.

[2032] Step 10:

[2033] The server inputs the question into an AI model and generates an answer. The AI ​​model can be something like GPT-4. The input is the question and prompt. The output is the generated answer. The server sends a prompt to the model and receives the answer.

[2034] Step 11:

[2035] The server returns the generated answer to the user terminal. The input is the generated answer. The output is the answer sent to the user terminal. The transmission uses the HTTPS protocol.

[2036] Step 12:

[2037] The device displays the received answer to the user and adjusts the answer content based on the recognized user emotion if necessary. The input is the generated answer and emotion data. The output is the adjusted answer that is displayed to the user. Specific operations include layouting and displaying the answer content on the screen.

[2038] Step 13:

[2039] The terminal uploads the summarized terms and the user's questions and answers to a cloud storage service. The input is the summary, question, and answer data. The output is the data stored in the cloud storage. We use Amazon S3 and Google Cloud Storage.

[2040] Step 14:

[2041] The cloud server stores the data securely and makes it accessible when needed. The input is the uploaded data. The output is the data safely stored in the cloud storage.

[2042] (Application example 2)

[2043] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[2044] In modern society, the contracts and terms of the services and products users use and purchase are extremely complex, requiring a great deal of time and effort to understand. In particular, in areas such as electronic payment services, it is common for users to agree to terms and conditions without fully understanding them, which can lead to problems. Furthermore, there are concerns that one-sided provision of information that ignores users' feelings will reduce their satisfaction with the service. Furthermore, there is a lack of a quick and easy way for users to reconfirm the terms of their contracts. Therefore, there is a need for a system that allows users to easily understand terms and conditions and receive support tailored to their own feelings.

[2045] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for using a generative AI model to summarize received text data, means for analyzing the user's facial expressions and voice to recognize emotions, and means for providing information based on emotions. This allows the user to easily understand the contract contents and terms and receive appropriate support based on their own emotions. In addition, the summarized text and questions and answers can be saved in cloud storage so that the user can review them later, allowing for quick and easy confirmation of the contract contents.

[2046] A "user terminal" is a computer device used by a user, which has a camera function and a display function, and is used to scan documents and display information.

[2047] "Scanning" is the process of converting a physical document into digital data, and is done using a camera.

[2048] Optical character recognition (OCR) is a technology that extracts characters from image data and converts them into text data.

[2049] A "generative AI model" is an artificial intelligence model that learns from large amounts of text data to perform summarization and question-answering.

[2050] A "summary" is a concise summary of important information extracted from text data.

[2051] "Emotion recognition" means determining whether a user is feeling something by analyzing the user's facial expression and tone of voice.

[2052] "Emotion-based information provision" means providing information or answers in a form that is appropriate to the user's recognized emotions.

[2053] A "server" is a computer device that receives data sent from a user terminal and performs data summarization, question answering, emotion recognition, and the like.

[2054] "Cloud storage" is a data storage service available over the internet that securely stores data and makes it accessible when needed.

[2055] This invention is a system in which AI summarizes the terms and conditions of the services a user receives or the products a user purchases, and communicates them to the user in an easy-to-understand manner, and it also combines an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[2056] System Configuration

[2057] The system consists of the following main components:

[2058] 1. User terminal: A device equipped with a camera that can scan contracts and regulations and obtain image data. This includes smartphones and tablets.

[2059] 2. Server: A computing device that receives image data, converts it into text data using optical character recognition (OCR) technology, and performs summarization using a generative AI model.

[2060] 3. Cloud storage: An online service that securely stores summarized text data and question and answer data, allowing users to access them whenever they need.

[2061] Hardware and Software

[2062] OCR technology: Uses the pytesseract library to extract text data from images.

[2063] Generative AI model: Summarizes text data using the pipeline function of the transformers library.

[2064] Emotion Recognition: Analyzes the user's facial expressions and tone of voice using face_recognition and emotion recognition libraries.

[2065] Cloud Storage: Save data to Amazon S3 cloud storage using boto3 library.

[2066] Data processing and calculation

[2067] 1. Data acquisition and transformation:

[2068] The user scans the contract using the device's camera, and the image data is converted to text using OCR processing by pytesseract. The converted text data is temporarily stored on the device and then sent to the server.

[2069] 2. Summarization:

[2070] The server inputs the received text data into a generative AI model for summarization. The generative AI model is trained using the transformers library, which analyzes the text data, extracts important information, and generates a summary.

[2071] 3. Emotion recognition:

[2072] The device collects the user's facial expressions and tone of voice through a camera and microphone, and analyzes them using face_recognition and emotion recognition libraries. The emotion data is sent to a server and used to provide summaries and feedback on answers.

[2073] 4. Cloud Storage:

[2074] The summarized text and question-and-answer data are stored in Amazon S3 cloud storage using the boto3 library, allowing users to review the data whenever needed.

[2075] Examples of concrete examples and prompts

[2076] Specific examples

[2077] When a user signs up for a new electronic payment service, the contract is scanned to quickly obtain a simplified summary, such as "Monthly fee is 5,000 yen, contract period is one year, and penalty fee is 5,000 yen if cancellation occurs during the contract period."

[2078] When a user requests deeper understanding based on their emotions, the system provides appropriate supplementary information. For example, when a user types in "What are the data usage charges?", the system responds with "Up to 10GB per month is free, and anything above that costs 500 yen per GB."

[2079] Prompt Sentence Examples

[2080] 1. OCR processing:

[2081] "Please take a photo of the contract and convert it into text data using OCR."

[2082] 2. Summarization:

[2083] "Please summarize the following text: {Contract text}"

[2084] 3. Emotion recognition:

[2085] "Capture the user's facial expressions and recognize their emotions."

[2086] In this way, the present invention allows users to easily understand the contract details and receive appropriate feedback based on their emotions. In addition, the data storage function using cloud storage provides the convenience of easily checking past information at any time.

[2087] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2088] Step 1:

[2089] The user scans the contract using the device's camera. The input is the physical contract, and the output is a scanned image. This image data is important for proceeding to the next step.

[2090] Step 2:

[2091] The image data scanned by the device is OCR processed using the pytesseract library. The input is the image data obtained in step 1, and the output is text data. This text data is temporarily saved on the device.

[2092] Step 3:

[2093] The terminal sends the text data obtained by OCR processing to the server. The input is the text data after OCR processing, and the output is the completion of data transmission to the server. The server receives this data and prepares it for processing in the next step.

[2094] Step 4:

[2095] The server inputs the received text data into a generative AI model and performs summarization. The input is the text data received by the server, and the output is the summarized text. The server generates this summarized text using a generative AI model (for example, the pipeline function of the transformers library).

[2096] Step 5:

[2097] The server sends the summarized text to the user terminal. The input is the generated summary text, and the output is the completion of data transmission to the user terminal. The user terminal receives this data and proceeds to the next step.

[2098] Step 6:

[2099] The terminal displays the received summary to the user. The input is the summary text, and the output is the summary information displayed on the user interface. The user understands the contract contents based on this summary.

[2100] Step 7:

[2101] The device collects the user's facial expressions and tone of voice using a camera and microphone, and analyzes them using an emotion recognition library (e.g., face_recognition). The input is the user's facial expressions and voice data, and the output is the recognized emotion data. This emotion data is sent to the server.

[2102] Step 8:

[2103] The user checks the summary and enters additional questions if necessary. The input is the question entered by the user, and the output is that the terminal sends the question to the server, which receives this data.

[2104] Step 9:

[2105] The server inputs the received question and emotion data into the generative AI model to generate an appropriate answer. The input is the question text and emotion data, and the output is the generated answer text. The answer is adjusted based on the emotion data.

[2106] Step 10:

[2107] The server sends the generated answer to the user terminal. The input is the generated answer sentence, and the output is the completion of data transmission to the user terminal. The user terminal receives this data and displays it to the user.

[2108] Step 11:

[2109] The device stores the summary, question, and answer data in cloud storage. The input is the summary text, question, and answer text, and the output is data securely stored in cloud storage. The user can access and review this data whenever necessary.

[2110] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[2111] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[2112] 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 the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[2113] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[2114] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[2115] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[2116] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[2117] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[2118] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[2119] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[2120] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[2121] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[2122] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[2123] 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.

[2124] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[2125] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[2126] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[2127] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[2128] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[2129] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[2130] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[2131] The following is further disclosed regarding the above embodiment.

[2132] (Claim 1)

[2133] A means for scanning documents on a user terminal and converting them into text data using optical character recognition;

[2134] means for transmitting the generated text data to a server;

[2135] means for using an artificial intelligence model to summarize the text data received at the server;

[2136] means for transmitting the summarized text to a user terminal;

[2137] means for displaying the summarized text at a user terminal;

[2138] means for accepting follow-up questions from the user;

[2139] means for transmitting the query to a server;

[2140] a means for parsing the question and generating an answer on the server;

[2141] means for transmitting the generated answer to a user terminal and displaying it;

[2142] a means for storing the summaries and questions and answers in cloud storage;

[2143] A system including:

[2144] (Claim 2)

[2145] 10. The system of claim 1, wherein the text data and summarized text are stored on a cloud for the user to review later.

[2146] (Claim 3)

[2147] 2. The system according to claim 1, wherein the user terminal has a camera function and the user scans the document by taking a picture of it.

[2148] "Example 1"

[2149] (Claim 1)

[2150] A means for scanning documents on a user terminal and converting them into text data using optical character recognition;

[2151] means for transmitting the generated text data to a server;

[2152] means for using an artificial intelligence model to summarize the text data received at the server;

[2153] means for transmitting the summarized text to a user terminal;

[2154] means for displaying the summarized text at a user terminal;

[2155] means for accepting follow-up questions from the user;

[2156] means for transmitting the query to a server;

[2157] a means for parsing the question and generating an answer on the server;

[2158] means for transmitting the generated answer to a user terminal and displaying it;

[2159] a means for storing the summaries and questions and answers in cloud storage;

[2160] A means for retrieving and redisplaying saved data from the cloud;

[2161] A system including:

[2162] (Claim 2)

[2163] 10. The system of claim 1, wherein the text data, the summarized text, and the generated answers are stored on the cloud for the user to review later.

[2164] (Claim 3)

[2165] 2. The system according to claim 1, wherein the user terminal has a camera function and the user scans the document by taking a picture of it.

[2166] "Application Example 1"

[2167] (Claim 1)

[2168] A means for scanning documents on a user terminal and converting them into text data using optical character recognition;

[2169] means for transmitting the generated text data to a server;

[2170] means for using an artificial intelligence model to summarize the text data received at the server;

[2171] means for transmitting the summarized text to a user terminal;

[2172] means for displaying the summarized text at a user terminal;

[2173] means for accepting follow-up questions from the user;

[2174] means for transmitting the query to a server;

[2175] a means for parsing the question and generating an answer on the server;

[2176] means for transmitting the generated answer to a user terminal and displaying it;

[2177] a means for storing the summaries and questions and answers in cloud storage;

[2178] A means to generate answers in real time to specific questions about terms and conditions using generative AI models;

[2179] A means of storing the answers and summaries provided in cloud storage so that the summaries and answers can be reviewed at a later time; and

[2180] A system including:

[2181] (Claim 2)

[2182] A means for storing the text data and the summarized text on the cloud so that the user can review them later;

[2183] A means for users to ask questions about terms and conditions to the AI ​​model and receive answers from the model.

[2184] 10. The system of claim 1, comprising:

[2185] (Claim 3)

[2186] a means for the user terminal to have a camera function and for the user to scan a document by taking a photograph of the document;

[2187] A means for inputting a question to the generative AI model using a user terminal and sending a prompt sentence;

[2188] means for providing a response generated based on the prompt sentence to a user terminal;

[2189] 10. The system of claim 1, comprising:

[2190] "Example 2: Combining Emotion Engines"

[2191] (Claim 1)

[2192] A means for scanning documents on a user terminal and converting them into text data using optical character recognition;

[2193] means for transmitting the generated text data to a server;

[2194] means for using an artificial intelligence model to summarize the text data received at the server;

[2195] means for transmitting the summarized text to a user terminal;

[2196] means for displaying the summarized text at a user terminal;

[2197] A means of recognizing emotions by analyzing the user's facial expressions and tone of voice;

[2198] means for accepting follow-up questions from the user;

[2199] means for transmitting the question and emotion data to a server;

[2200] a means for parsing the question and generating an answer on the server;

[2201] means for transmitting the generated answer to a user terminal and displaying it;

[2202] a means for storing the summaries and questions and answers in cloud storage;

[2203] A system including:

[2204] (Claim 2)

[2205] 10. The system of claim 1, wherein the text data and summarized text are stored on a cloud for the user to review later.

[2206] (Claim 3)

[2207] 2. The system according to claim 1, wherein the user terminal has a camera function and the user scans the document by taking a picture of it.

[2208] "Application example 2 when combining emotion engines"

[2209] (Claim 1)

[2210] A means for scanning documents on a user terminal and converting them into text data using optical character recognition;

[2211] means for transmitting the generated text data to a server;

[2212] a means for using a generative AI model to summarize text data received at a server;

[2213] means for transmitting the summarized text to a user terminal;

[2214] means for displaying the summarized text at a user terminal;

[2215] A means of recognizing emotions by analyzing the user's facial expressions and voice;

[2216] A means for providing emotion-based information;

[2217] means for accepting follow-up questions from the user;

[2218] means for transmitting the query to a server;

[2219] A method using a generative AI model that analyzes questions and generates answers on a server;

[2220] means for transmitting the generated answer to a user terminal and displaying it;

[2221] a means for storing the summaries and questions and answers in cloud storage;

[2222] A system including:

[2223] (Claim 2)

[2224] 10. The system of claim 1, wherein the text data and summarized text are stored on a cloud for the user to review later.

[2225] (Claim 3)

[2226] 2. The system according to claim 1, wherein the user terminal has a camera function and the user scans the document by taking a picture of it. [Explanation of symbols]

[2227] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for scanning documents on a user terminal and converting them into text data using optical character recognition; means for transmitting the generated text data to a server; means for using an artificial intelligence model to summarize the text data received at the server; means for transmitting the summarized text to a user terminal; means for displaying the summarized text at a user terminal; means for accepting follow-up questions from the user; means for transmitting the query to a server; a means for parsing the question and generating an answer on the server; means for transmitting the generated answer to a user terminal and displaying it; a means for storing the summaries and questions and answers in cloud storage; A system including:

2. The system of claim 1 , wherein the text data and the summarized text are stored on a cloud for the user to review later.

3. 2. The system according to claim 1, wherein the user terminal has a camera function, and the user scans the document by taking a photograph of the document.

Images