System

Abstract

A system is provided.SOLUTION: A system comprising: means for registering copyrighted works or portraits; means for crawling content on the Internet to detect infringement of copyright or portrait rights; means for providing a warning if an infringement is detected; and means for storing evidence of the infringement.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] With the development of the Internet, the number of cases of copyright and portrait right infringement is increasing. However, it is extremely labor-intensive and inefficient for rights holders themselves to constantly monitor these infringements on the Internet. Furthermore, many current methods rely on reports from third parties to detect infringements, making it difficult to detect infringements early. As a result, it becomes difficult for rights holders to take appropriate measures at the appropriate time, which makes it difficult to protect their rights. [Means for solving the problem]

[0005] To solve these problems, the present invention provides the following means: A system is provided that includes a means for registering copyrighted works and portrait materials and a means for crawling content on the Internet to detect infringement of copyrights and portrait rights. Furthermore, by combining a means for issuing a warning when an infringement is detected and a means for storing evidence of the infringement, it becomes possible to efficiently and quickly discover and respond to infringement of rights. This system allows users to protect their copyrights and portrait rights without much effort. Furthermore, automated crawling and infringement detection allows infringements to be discovered early, enabling a prompt response and effectively protecting the interests of rights holders.

[0006] A "work" is a form of creative expression, such as literature, music, art, or film, that is protected as intellectual property.

[0007] A "portrait" is a media such as an image or video that depicts a specific person in an identifiable form, and is subject to protection as that person's portrait rights.

[0008] A "means of registration" is a process or system for storing copyrighted works or portraits in a database and generating and managing identifiers and metadata for them.

[0009] "Crawling" is the process by which automated agents periodically retrieve and analyze content from websites, social media sites, and other sources on the Internet.

[0010] "Means for detecting infringement" means a process or system for analyzing crawled content and comparing it with registered copyrighted works or likenesses to detect unauthorized use or copying.

[0011] A "means for issuing a warning" is a process or system for automatically notifying or warning a violator when an infringement is detected.

[0012] "Evidence preservation" is a process or system for preserving and securely storing details of the infringement (e.g., URL, date and time, screenshots, etc.) for future legal action. [Brief explanation of the drawings]

[0013] [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

[0014] 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.

[0015] First, the terms used in the following description will be explained.

[0016] 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).

[0017] 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.

[0018] 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.

[0019] 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.

[0020] 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."

[0021] [First embodiment]

[0022] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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."

[0034] The system of the present invention is designed to efficiently protect copyrighted works and portraits, and is implemented as follows: A user first registers a copyrighted work or portrait in the system. Once this registration process is complete, the system can crawl content on the Internet and automatically detect content that infringes the registered copyrighted work or portrait.

[0035] 1. Registration of copyrighted works and portraits

[0036] A user uploads copyrighted material or portraits (e.g., images, text, videos, etc.) to the system using a terminal. The server receives the uploaded data and stores it in a database. At this time, the server assigns an identifier to the copyrighted material or portrait and generates appropriate metadata (e.g., copyright holder name, creation date, etc.).

[0037] As a concrete example, consider the case where a user uploads their own photo. The user selects a photo file from the file selection dialog on their device and clicks the "Upload" button. The server then receives the photo data and stores it in the database. Metadata such as copyright holder information (user ID) and upload date and time are also generated and stored at the same time.

[0038] 2. Crawl research on the Internet

[0039] The server launches a crawling AI agent at regular intervals to crawl content on websites, social media, blogs, etc. The crawled content is sent to the server and compared with registered copyrighted works and portraits, allowing the system to detect unauthorized use and copying.

[0040] As a concrete example, consider a process where a server launches a crawling agent at 2 a.m. every day, analyzing images on the Internet and calculating their similarity with images in a database. This process allows the system to automatically check whether users' copyrighted work has been used without permission.

[0041] 3. Violation detection and warning

[0042] If an infringement is detected, the server records the URL and screenshots of the content. The server also automatically sends a warning email to the violator, which includes details of the infringement and a message urging them to stop. The detected infringement status is also stored in a database and users are notified.

[0043] As a concrete example, consider a case where AI discovers that a user's photo has been posted on a blog without permission. The server saves the blog's URL and screenshots, and sends a warning email to the violator. The server also reports this violation to the user via email or an in-system message based on the user's notification settings.

[0044] 4. Preservation of evidence

[0045] The server stores captures of infringing content and metadata (e.g., date, time, URL, IP address, etc.) for future litigation. The database is designed to properly classify and securely store evidence, which can be accessed by users and legal personnel as needed.

[0046] For example, a server might store screenshots of infringing blogs, along with their access dates and times and URLs. In the event of a lawsuit, users or legal personnel can retrieve this evidence from the database and use it to take appropriate legal action.

[0047] The above is a specific embodiment of the system of the present invention, which allows users to protect their copyrights and portrait rights without much effort. Furthermore, automated crawling and infringement detection allows for early detection of infringement, enabling prompt action. Furthermore, proper storage of evidence facilitates future legal action.

[0048] The processing flow will be explained below.

[0049] 1. Registration of copyrighted works and portraits

[0050] Step 1:

[0051] The user uses the device to select the copyrighted or portrait material, specifically by opening the device's file selection dialog and selecting the image, document, or video file they want to upload.

[0052] Step 2:

[0053] The user clicks the "Upload" button, which sends the selected file to the server.

[0054] Step 3:

[0055] The server receives the uploaded data, specifically, extracts the file data included in the HTTP request body.

[0056] Step 4:

[0057] The server stores data on copyrighted works and portraits in a database, generating an identifier and storing it along with metadata such as copyright holder information.

[0058] Step 5:

[0059] The server returns a success message to the user, so that the user can confirm that the file was successfully uploaded.

[0060] 2. Crawl research on the Internet

[0061] Step 1:

[0062] The server launches the crawling AI agent at regular intervals, for example, at 2:00 AM every day as a scheduled task.

[0063] Step 2:

[0064] The AI ​​agent crawls websites, social media sites, blogs, etc. on the Internet and collects content, which is then sent to a server.

[0065] Step 3:

[0066] The server analyzes the collected content and applies image comparison and text analysis algorithms to compare it with registered copyrighted works and portraits.

[0067] 3. Violation detection and warning

[0068] Step 1:

[0069] If the server detects any infringing content, it will record the URL and screenshots of the page. Specifically, it will store the URL of the infringing page in a database and capture and save a screenshot.

[0070] Step 2:

[0071] The server will automatically send a warning email to violators, which will include details of the violation and a urging them to stop.

[0072] Step 3:

[0073] The server notifies the user of the violation status by sending an email or an in-system message based on the user's notification settings. The notification includes detailed information about the violation.

[0074] 4. Preserving evidence for litigation

[0075] Step 1:

[0076] The server stores details of the violation (e.g. URL, date and time, screenshots, IP address, etc.) in a database, ensuring evidence for future legal action.

[0077] Step 2:

[0078] The database properly classifies and safely stores evidence information, and access rights are set to prevent unauthorized access.

[0079] Step 3:

[0080] Allow users and legal personnel to access evidential information. Authenticate users and allow authenticated users to retrieve evidential information.

[0081] This specific processing step enables efficient protection of copyrighted works and portraits. Users can easily register copyrighted works and portraits, and the server automatically detects infringements on the Internet and takes prompt action. Furthermore, the storage of evidence facilitates legal action.

[0082] Example 1

[0083] 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."

[0084] In today's world, there are many cases of copyrighted works and portraits being used without permission on the Internet. Traditional manual monitoring and response to infringements of copyright and portrait rights is extremely labor-intensive, and a rapid response is required. It is also important to properly store evidence of infringement and take legal action, but this is also difficult to manage manually.

[0085] 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.

[0086] In this invention, the server includes a means for registering copyrighted works and portrait materials, a means for collecting information on the Internet to detect infringement of copyrights and portrait rights, a means for issuing a warning when an infringement is detected, a means for storing evidence of the infringement, a means for receiving data uploaded by users and storing it in a database, a means for calculating and comparing the similarity of the collected information, a means for automatically sending warning emails, and a means for notifying users. This enables efficient protection of copyrighted works and portrait materials, early detection of infringement, prompt warnings, and appropriate storage of evidence.

[0087] A "work" is a creative work such as text, images, or video, and is protected by copyright.

[0088] A "portrait" is a media such as a photograph or video that depicts a person's face or figure, and is subject to protection by portrait rights.

[0089] "Information on the Internet" refers to digital content accessible via the Internet, such as web pages, social networking services, and blogs.

[0090] A "server" is a computer system that receives, processes, and stores data over a network.

[0091] A "database" is a system that organizes and stores data and allows for efficient searching and management.

[0092] "Collection" refers to the act of acquiring information for a specific purpose, and in this invention particularly refers to the acquisition of digital content on the Internet.

[0093] A "warning" is a notification that warns of illegal activity or misuse and urges you to stop it.

[0094] "Evidence" is information or data that can be used as legal evidence to prove an infringing act.

[0095] "Calculating and comparing similarities" refers to the process of using an algorithm to compare collected digital content with registered copyrighted works and portraits and evaluate the degree of similarity.

[0096] "Metadata" is additional information that includes information about the data, and in this invention refers to the name of the copyright holder, the creation date, and the like.

[0097] "User" means a user of the System who uploads copyrighted material and / or portraits and uses the System to protect their rights.

[0098] The present invention relates to a system for efficiently protecting copyrighted works and portraits, and is implemented in the following manner: A user first registers a copyrighted work or portrait in the system. Once this registration process is complete, the system has the ability to collect information on the Internet and automatically detect content that infringes the registered copyrighted work or portrait.

[0099] Specifically, this system protects copyright and portrait rights using the following steps:

[0100] A user uses a terminal to upload copyrighted material or portraits (e.g., images, text, videos, etc.) to the system. The server receives the data from the user and stores it in a database. During this process, the server assigns an identifier to the copyrighted material or portrait, and automatically generates and stores metadata such as the name of the copyright holder and the date of creation.

[0101] As a concrete example, consider the case where a user uploads their own photo. The user selects a photo file from the file selection dialog on the device and clicks the "Upload" button. The server then receives the photo data "my_photo.jpg" and saves it in the database with the identifier "image123." It also generates and saves the copyright holder information "userID123" and the upload date and time "2023-10-02" as metadata.

[0102] Next, the server launches a crawling AI agent based on a set schedule (for example, every day at 2:00 AM). The crawling AI agent collects content from web pages, social networking services, blogs, etc. on the Internet. The collected content is sent to the server, which analyzes it and compares it with registered copyrighted works and portraits in the database to calculate similarities.

[0103] For example, the server could launch an AI agent at 2 a.m. to collect images from the internet and compare them with "my_photo.jpg" in the database. Based on the results of this comparison, it could determine whether registered copyrighted material has been used without permission.

[0104] If a violation is detected, the server will record the URL and screenshots of the content. Additionally, the server will automatically send a warning email to the violator, which will include details of the violation and a request to stop. Users will be notified of the violation via email and in-system messages.

[0105] For example, if the AI ​​discovers that a user's photo has been posted on a blog without permission, the server will save the blog's URL (http: / / example.com / blog123) and a screenshot, then automatically send a warning email to the violator and notify the user via email.

[0106] The server stores captures of infringing content and metadata (e.g., date, time, URL, IP address, etc.) for future litigation. The database is designed to properly classify and securely store evidence, which users and legal personnel can access as needed.

[0107] For example, the server stores screenshots of the infringing blog, the access date and time (2023-10-02 03:00), and the URL (http: / / example.com / blog123). In the event of a lawsuit, users or legal personnel can retrieve this evidence from the database and use it in legal action.

[0108] The above is a specific embodiment of the system of the present invention, which allows users to efficiently protect their copyrights and portrait rights. Furthermore, automated crawling and infringement detection enable rapid response, and proper storage of evidence facilitates future legal action.

[0109] Example prompt sentence:

[0110] By inputting the following prompt sentence into the generative AI model, a description of the above system can be generated.

[0111] This system is designed to protect copyrighted works and portraits. The process begins with a user uploading copyrighted works or portraits (e.g., images, text, videos, etc.) using a terminal, and the server receives the uploaded data and stores it in a database. The server then crawls content on the Internet and automatically detects content that infringes registered copyrighted works or portraits. This allows it to detect unauthorized use or copying, send warning emails to violators, and preserve evidence.

[0112] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0113] Step 1:

[0114] The user uploads a copyrighted work or portrait. The user accesses the system's upload page through the browser on their device and uses the "Select File" button to select the copyrighted work or portrait to upload. The input is the file selected by the user, and the output is the file data sent to the server.

[0115] Specific behavior:

[0116] The user selects a photo called "my_photo.jpg" from the file selection dialog on the device and clicks the "Upload" button. The device then sends this file to the server.

[0117] Step 2:

[0118] The server stores the received file. The server receives the file sent by the user, verifies its contents, and stores it in a database. During this process, the server assigns an identifier to the file and generates metadata (e.g., copyright holder name, creation date, etc.). The input is the file data sent from the device, and the output is the file and associated metadata stored in the database.

[0119] Specific behavior:

[0120] The server receives "my_photo.jpg", assigns it the identifier "image123", and stores it in the database. It also generates and stores the copyright holder information "userID123" and the upload date and time "2023-10-02" as metadata.

[0121] Step 3:

[0122] The server launches the crawling AI agent. The server launches the AI ​​agent at the set time (e.g., 2:00 AM every day) according to the crawling schedule. The input is the schedule data, and the output is the launched AI agent.

[0123] Specific behavior:

[0124] The server launches a crawling agent at 2 a.m. This agent collects content from web pages, social networking services, blogs, and other sources on the Internet.

[0125] Step 4:

[0126] The server analyzes the collected content. The content collected by the AI ​​agent is sent to the server, which analyzes it, compares it with registered copyrighted works and portraits in the database, and calculates the similarity. The input is the collected content data, and the output is the similarity calculation result.

[0127] Specific behavior:

[0128] The server compares the collected images with "my_photo.jpg" in the database and calculates the similarity of the images.

[0129] Step 5:

[0130] The server detects infringement. Based on the similarity calculation result, the server detects unauthorized use of copyrighted material or portraits. The input is the similarity calculation result, and the output is the infringement detection result.

[0131] Specific behavior:

[0132] If the calculated similarity exceeds a certain threshold, the server determines that the image has been used without permission.

[0133] Step 6:

[0134] The server records the URLs and screenshots of infringing content. If an infringement is detected, the server records the URLs and screenshots of the content. The input is the infringement detection result, and the output is the recorded URLs and screenshots.

[0135] Specific behavior:

[0136] The server saves the URL of the violating blog, "http: / / example.com / blog123," along with a screenshot of it.

[0137] Step 7:

[0138] The server sends a warning email. If an infringement is detected, the server automatically sends a warning email to the violator. The input is the infringement detection result and the violator's contact information, and the output is the sent warning email.

[0139] Specific behavior:

[0140] The server automatically sends a warning email to violators stating that "content at the specified URL is being used without permission and should be deleted immediately."

[0141] Step 8:

[0142] The server notifies the user. Based on the user's notification settings, the server reports the breach status by sending emails or internal messages. The inputs are the breach detection results and the user's notification settings, and the output is the sent notification.

[0143] Specific behavior:

[0144] The server sends the user an email stating, "Your copyrighted work has been used without permission. Please check the URL below."

[0145] Step 9:

[0146] The server stores evidence. The server stores captures and metadata of infringing content for future litigation. The input is the infringing content information, and the output is the stored evidence data.

[0147] Specific behavior:

[0148] The server will save a screenshot of the violating blog, along with its access date and time (2023-10-02 03:00) and URL (http: / / example.com / blog123).

[0149] The above are the specific processing steps of this system, which allows users to efficiently protect their copyrights and portrait rights, and achieves quick response and appropriate storage of evidence.

[0150] (Application example 1)

[0151] 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."

[0152] Infringement of copyrights and portrait rights on the Internet is on the rise, and conventional manual monitoring and response methods tend to be slow. Furthermore, evidence is sometimes not collected or stored properly, resulting in the time and effort required for legal action. The present invention aims to solve these problems and provide a fast and efficient method for protecting copyrighted works and portraits.

[0153] 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.

[0154] In this invention, the server includes means for registering copyrighted works and portrait materials, means for crawling content on the Internet to detect infringement of copyrights and portrait rights, means for issuing a warning when an infringement is detected, means for storing evidence of the infringement, means for uploading copyrighted works and portrait materials using a smart device, means for using image recognition technology to detect infringement, means for activating the crawl agent at specified time intervals, and means for automatically sending a warning email, thereby enabling infringement of copyrights and portrait rights on the Internet to be quickly detected and automatically addressed.

[0155] "Work" refers to any work of creative expression or product of knowledge that is protected by copyright law.

[0156] "Portraits" refer to photographs, paintings, etc. that depict an individual's figure or face, and are objects protected by portrait rights.

[0157] "Crawling" refers to the process of automatically visiting web pages on the Internet and gathering information.

[0158] A "warning" refers to the act of notifying someone who is infringing copyright or portrait rights to stop the infringing behavior.

[0159] "Evidence" refers to specific data or records that show infringement of copyright or portrait rights, and serves as the basis for legal action.

[0160] "Smart device" refers to a high-technology device that has internet connectivity and is capable of running applications.

[0161] "Image recognition technology" refers to technology that uses computer vision and deep learning technologies to automatically recognize and classify the content of images.

[0162] A "crawl agent" refers to a program that automatically crawls web pages on the Internet and collects content.

[0163] A "warning email" refers to an email sent when a copyright or portrait right infringement is detected, urging the infringer to stop the infringing behavior.

[0164] "Content distribution platform" refers to an online medium that allows users to widely publish and share content they create.

[0165] The present invention provides a system for efficiently detecting and quickly dealing with infringement of copyrights and portrait rights on the Internet. Specific embodiments for carrying out the present invention will be described below.

[0166] System configuration

[0167] The system of the present invention comprises the following main components:

[0168] 1. How to register copyrighted works and portraits

[0169] 2. A method for crawling content on the Internet to detect copyright and portrait rights infringement

[0170] 3. Means of issuing warnings when infringement is detected

[0171] 4. Means of preserving evidence of infringement

[0172] 5. Uploading copyrighted material or portraits using a smart device

[0173] 6. Using image recognition technology to detect infringement

[0174] 7. How to launch the crawl agent at specified intervals

[0175] 8. Automatically sending warning emails

[0176] Specific hardware and software

[0177] Hardware:

[0178] Smartphone: A modern smartphone, which users use to take and upload copyrighted material and portraits.

[0179] Smart Glasses: Smart glasses with advanced camera capabilities, allowing users to easily capture images and send them to the system.

[0180] software:

[0181] Firebase Authentication: Used to manage user registration and authentication.

[0182] Google Cloud Storage: Used to store uploaded image and video data.

[0183] TensorFlow: Used for image recognition and similarity detection.

[0184] BeautifulSoup: Used to crawl content on the internet.

[0185] SendGrid: Used to send alert emails.

[0186] Processing Description

[0187] 1. User Registration and Login

[0188] Users create an account and log in using Firebase Authentication using their smartphone or smart glasses.

[0189] 2. Registration of copyrighted works and portraits

[0190] Users use their smart devices to take or select copyrighted material or portraits and upload them to Google Cloud Storage, at which point the server generates metadata (such as copyright owner information) and stores it in Firestore.

[0191] 3. Internet Crawl

[0192] A crawling agent using BeautifulSoup runs at specified intervals, crawling through content on websites, social media, blogs, and other sites on the Internet and collecting image data.

[0193] 4. Breach Detection

[0194] Using TensorFlow, the crawling agent compares the images collected with copyrighted works and portraits registered in the system to calculate similarities, a process that automatically identifies infringing content.

[0195] 5. Warnings and Notifications

[0196] If a breach is detected, an automatic email warning will be sent using SendGrid, and users will be notified via in-system notifications and email.

[0197] 6. Preservation of evidence

[0198] The server stores evidence of the infringing content, such as screenshots, URLs, and metadata, in Google Firestore, which can be used to protect against future legal action.

[0199] Specific examples

[0200] For example, consider a scenario in which a user uploads a photo they took to the system and later detects that the photo has been used without permission on the Internet. In this case, the server will automatically identify the infringing content, send a warning email, and store screenshots and related data of the infringing content as evidence and report it to the user.

[0201] You can also use a generative AI model to prompt like this:

[0202] "This program detects whether images uploaded by users are being used without permission and automatically sends warning emails. I would like to know the following information:

[0203] 1. What is the best way to crawl images on the internet?

[0204] 2. How can I improve the accuracy of image similarity detection using TensorFlow?

[0205] Thus, the present invention provides a system for quickly and efficiently detecting and responding to copyright and portrait right infringements on the Internet.

[0206] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0207] Step 1:

[0208] The user uses a smart device to take a photograph of a copyrighted work or portrait, or select it from existing files, and upload it.

[0209] Input: Image or video files selected or captured by the user.

[0210] Data processing: The device takes the selected file and converts it into the appropriate format.

[0211] Output: Format converted image and video files.

[0212] Specific operation: The user takes a photo with the camera on their smart device and presses the upload button in the app to send the data to the server.

[0213] Step 2:

[0214] The server stores the received copyrighted material and portraits in Google Cloud Storage, generates metadata, and records it in Firestore.

[0215] Input: Image and video files sent from smart devices.

[0216] Data calculation: The server generates an identifier for the file and creates metadata including the upload date and time and copyright owner information.

[0217] Output: Files stored in Google Cloud Storage and metadata recorded in Firestore.

[0218] Specific operation: The server uploads the image file to Google Cloud Storage and writes information such as its URL, upload date and time, and user ID to Firestore.

[0219] Step 3:

[0220] The server starts a crawling agent at a specified time interval to collect content on the Internet.

[0221] Input: Crawl agent launch trigger (time interval).

[0222] Data processing: Crawling agents collect image data from sources such as websites, social media, and blogs.

[0223] Output: Collected image data.

[0224] Specific operation: The crawling agent starts, for example, at 2:00 AM, and visits each website based on the specified URL list and downloads image data.

[0225] Step 4:

[0226] The server uses TensorFlow to evaluate the similarity between the collected image data and registered copyrighted works and portraits.

[0227] Input: Collected image data and registered copyright data.

[0228] Data calculation: Using a TensorFlow model, features of each image are extracted and similarity comparisons are performed.

[0229] Output: A list of similarity ratings.

[0230] Specific operation: The server inputs the collected images into the TensorFlow model, calculates the similarity score, and generates matching results with the registered images.

[0231] Step 5:

[0232] If the server detects an infringement based on similarity assessment, a warning email will be automatically sent using SendGrid.

[0233] Input: The result of the similarity assessment.

[0234] Data manipulation: Extract data about infringing content and insert it into email templates.

[0235] Output: Send a warning email to the infringer.

[0236] Specific operation: The server retrieves the image information that is determined to be in violation and sends a warning email to the specified email address via SendGrid.

[0237] Step 6:

[0238] The server stores evidence of the breach and notifies the user.

[0239] Input: Similarity rating and URL and screenshot of the infringing content.

[0240] Data Computing: Store infringing content information in Firestore and generate email or in-app notifications.

[0241] Output: Evidence data stored in Firestore and a notification to the user.

[0242] What happens: The server saves screenshots of the infringing content, the URL, and the date and time of the infringing content in Firestore, and sends a notification email or in-app message to the user.

[0243] These steps enable the system of the present invention to quickly and efficiently detect and respond to copyright and publicity rights infringement on the Internet.

[0244] 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.

[0245] The system of the present invention is designed to efficiently protect copyrighted works and portraits, and is combined with an emotion engine that recognizes user emotions and adjusts actions accordingly. Specific embodiments of the system are described below.

[0246] 1. Registration of copyrighted works and portraits

[0247] Users use their devices to upload copyrighted works and images (e.g., images, text, videos, etc.) to the system. The server receives this data and stores it in a database. During the registration process, the server assigns an identifier to each copyrighted work or image and generates metadata (e.g., copyright holder name, creation date, etc.).

[0248] For example, when a user wants to upload their own photo, they select the photo file from the file selection dialog on their device and click the "Upload" button. The server then receives the photo data and stores it in the database. Metadata such as copyright holder information and upload date and time are also stored.

[0249] 2. Crawl research on the Internet

[0250] The server launches a crawling AI agent at regular intervals to crawl content on the Internet, such as websites, social media, blogs, etc. The crawled content is sent to the server and compared with registered copyrighted works and portraits to check for unauthorized use or copying.

[0251] For example, the server launches a crawling agent at 2 a.m. every day, analyzing images on the Internet and calculating their similarity with images in the database. This allows the system to automatically check whether users' copyrighted work has been used without permission.

[0252] 3. Violation detection and warning

[0253] If an infringement is detected, the server records the URL and screenshots of the content. Additionally, the server automatically sends a warning email to the violator, including details of the infringement and a message urging them to stop. The detected infringement status is stored in a database and the user is notified.

[0254] For example, if the AI ​​discovers that a user's photo has been posted on another blog without permission, the server will save the blog's URL and screenshots, send a warning email to the violator, and report the violation via email or in-system message based on the user's notification settings.

[0255] 4. Preserving evidence for litigation

[0256] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future litigation. The database properly categorizes and securely stores the evidence, which can be accessed by users and legal personnel as needed.

[0257] For example, the server stores screenshots of the infringing blogs, along with the access date and time, and URLs. In the event of a lawsuit, users and legal personnel can retrieve this evidence from the database and use it to take appropriate legal action.

[0258] 5. Introducing the Emotion Engine

[0259] The system is equipped with an emotion engine that recognizes the user's emotions, allowing it to tailor notifications and warnings to suit the user's emotional state. For example, if the emotion engine detects that the user is anxious or angry, the system will respond by providing gentler notifications and warnings. Conversely, if the system detects that the user is calm, it will provide more direct notifications.

[0260] For example, when a user receives a notice of infringement, the emotion engine analyzes the user's emotional state and sends the notice in an appropriate format. The emotion engine also analyzes the user's facial expressions and voice changes and records them in a database. This allows the user's emotional log to be kept and used for future analysis.

[0261] These processes enable the system of the present invention to efficiently protect copyrighted works and portraits, while also enabling flexible responses that take into account the feelings of users, allowing users to protect their copyrights and portrait rights without feeling stressed.

[0262] The processing flow will be explained below.

[0263] 1. Registration of copyrighted works and portraits

[0264] Step 1:

[0265] The user uses the device to select the copyrighted or portrait material, specifically by opening the device's file selection dialog and selecting the image, document, or video file they want to upload.

[0266] Step 2:

[0267] The user clicks the "Upload" button, which sends the selected file to the server.

[0268] Step 3:

[0269] The server receives the uploaded data, specifically, extracts the file data included in the HTTP request body.

[0270] Step 4:

[0271] The server stores data on copyrighted works and portraits in a database, generating an identifier and storing it along with metadata such as copyright holder information.

[0272] Step 5:

[0273] The server returns a success message to the user, so that the user can confirm that the file was successfully uploaded.

[0274] 2. Crawl research on the Internet

[0275] Step 1:

[0276] The server launches the crawling AI agent at regular intervals, for example, at 2:00 AM every day as a scheduled task.

[0277] Step 2:

[0278] The AI ​​agent crawls websites, social media sites, blogs, etc. on the Internet and collects content, which is then sent to a server.

[0279] Step 3:

[0280] The server analyzes the collected content and applies image comparison and text analysis algorithms to compare it with registered copyrighted works and portraits.

[0281] 3. Violation detection and warning

[0282] Step 1:

[0283] If the server detects any infringing content, it will record the URL and screenshots of the page. Specifically, it will store the URL of the infringing page in a database and capture and save a screenshot.

[0284] Step 2:

[0285] The server will automatically send a warning email to violators, which will include details of the violation and a urging them to stop.

[0286] Step 3:

[0287] The server notifies the user of the violation status by sending an email or an in-system message based on the user's notification settings. The notification includes detailed information about the violation.

[0288] 4. Preserving evidence for litigation

[0289] Step 1:

[0290] The server stores details of the violation (e.g. URL, date and time, screenshots, IP address, etc.) in a database, ensuring evidence for future legal action.

[0291] Step 2:

[0292] The database properly classifies and safely stores evidence information, and access rights are set to prevent unauthorized access.

[0293] Step 3:

[0294] Allow users and legal personnel to access evidential information. Authenticate users and allow authenticated users to retrieve evidential information.

[0295] 5. Introducing the Emotion Engine

[0296] Step 1:

[0297] When a user uses a device to check a breach notification, the system recognizes the user's emotional state by analyzing the user's facial expressions and voice.

[0298] Step 2:

[0299] The emotion engine analyzes the user's emotional state and identifies states such as optimistic, calm, anxious, angry, etc. The analysis results are sent to the server.

[0300] Step 3:

[0301] The server adjusts the notification content and warning message based on the analysis results of the emotion engine. For example, if the user is feeling anxious, the notification will be delivered in a gentle tone.

[0302] Step 4:

[0303] The server sends the adjusted notification content to the user, who receives the notification on their device and checks the content according to their emotions.

[0304] Step 5:

[0305] The server logs the user's emotional state and stores it for future analysis, allowing us to maintain a history of the user's emotions and use it to further improve our response.

[0306] The above processing steps not only realize efficient protection of copyrighted works and portrait rights, but also allow for flexible responses that take into account the feelings of users, allowing users to carry out the process of protecting their copyrights and portrait rights without feeling stressed.

[0307] Example 2

[0308] 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."

[0309] As the number of illegal copyrighted works and unauthorized use of portrait images on the Internet increases, there is a need to quickly and efficiently detect and respond to such cases. In particular, when it comes to protecting copyrights and portrait rights, it is important to preserve evidence and take legal action when infringement occurs. However, these processes are currently often performed manually, placing a heavy burden on users. Furthermore, there is a lack of mechanisms for providing appropriate notifications and warnings that take user feelings into consideration, which can cause users to feel stressed.

[0310] 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 a means for registering copyrighted works and portrait materials, a means for crawling content on the Internet to detect infringement of copyright or portrait rights, a means for issuing a warning when an infringement is detected, a means for saving the detected infringement and storing evidence in preparation for litigation, and a means including an emotion engine that recognizes user emotions and adjusts notifications and warning messages. This makes it possible to efficiently protect copyrights and portrait rights and to flexibly respond in consideration of user emotions.

[0311] A "work" is any form of expression resulting from human creative activity, such as literature, music, art, photography, or film, for which copyright is granted to its author.

[0312] A "portrait" is any image, video, photograph, or other form of expression that depicts the face or figure of an individual, to which the individual has portrait rights.

[0313] A "server" is a computer system that provides data and services to clients over a network.

[0314] A "terminal" is an electronic device such as a computer or smartphone that is operated by a user and used to exchange data with a server.

[0315] "Crawling" is a technique that automatically crawls websites and web pages on the Internet and collects information.

[0316] A "warning" is a notice that requests an action to be stopped when unauthorized use or infringement of copyrighted material or likeness is discovered.

[0317] "Evidence preservation" refers to the secure storage of breach details and related data for use in future legal proceedings.

[0318] The "emotion engine" is a system that analyzes the user's emotional state and adjusts notification content and warning messages based on this.

[0319] "Identifier" means a number or code assigned to a copyrighted work or portrait to uniquely identify it.

[0320] The system of the present invention combines an emotion engine that recognizes user emotions and adjusts actions to effectively protect copyrighted works and portraits. A specific embodiment of this system is described below.

[0321] 1. Registration of copyrighted works and portraits

[0322] Users use their devices to upload copyrighted works and portraits, such as images, text, and videos, to the system. The user selects the file they want to upload from the file selection dialog on their device and clicks the "Upload" button. The server then receives the uploaded data and stores it in a database. The server then assigns an identifier to each copyrighted work or portrait and generates metadata (such as the name of the copyright holder and the date of creation).

[0323] Specific examples

[0324] When a user uploads a family photo, they select the photo file from the file selection dialog and click the "Upload" button. The server then receives the photo data and stores it in the database. Metadata such as copyright owner information and upload date and time are also recorded.

[0325] 2. Crawl research on the Internet

[0326] The server launches a crawling AI agent at regular intervals. The crawling agent collects data from websites, social media sites, blogs, etc. on the Internet. The collected data is sent to the server and compared with registered copyrighted works and portraits in a database to check for unauthorized use or copying.

[0327] Specific examples

[0328] Every day at 2 a.m., the server launches a crawling agent that analyzes images on the internet and compares them with images in the database. If there is a match, the system determines that the images may have been used without permission.

[0329] 3. Violation detection and warning

[0330] If an infringement is detected, the server records the URL and screenshots of the content. Additionally, the server automatically sends a warning email to the violator, including details of the infringement and a message to stop. The detected infringement status is stored in a database and the user is notified.

[0331] Specific examples

[0332] If the AI ​​detects that a user's photos have been posted on another blog without permission, the server will save the blog's URL and screenshots, send a warning email to the violator, and report the violation via email or in-system message based on the user's notification settings.

[0333] 4. Preserving evidence for litigation

[0334] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future litigation. The database properly categorizes and securely stores this evidence, making it accessible to users and legal personnel as needed.

[0335] Specific examples

[0336] The server stores screenshots of the infringing blogs, along with the access date and time and URL. In the event of a lawsuit, users and legal personnel can retrieve this evidence from the database and use it to take legal action.

[0337] 5. Introducing the Emotion Engine

[0338] The system incorporates an emotion engine that recognizes the user's emotions and adjusts the content of notifications and warnings according to the user's emotional state. The emotion engine analyzes the user's facial expressions and voice, and records the results in a database to maintain an emotion log.

[0339] Specific examples

[0340] When a user receives a breach notification, the emotion engine analyzes the user's emotional state and delivers the notification in an appropriate tone. For example, if the user is anxious or angry, the notification will be delivered in a gentle tone.

[0341] Prompt Sentence Examples

[0342] Below are some examples of specific prompts to input into the generative AI model.

[0343] Example prompt 1:

[0344] Please explain in detail the process a user goes through to upload a photo, including how the server receives the data and generates the metadata.

[0345] Example prompt 2:

[0346] Describe the process for crawling copyrighted material on the Internet and detecting unauthorized use. Explain how the server crawls content daily and compares it with data in the database.

[0347] Through the above process, the system of the present invention can efficiently protect copyrights and portrait rights while also providing flexible support that takes into account the feelings of users, allowing users to protect their copyrights and portrait rights without feeling stressed.

[0348] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0349] Step 1:

[0350] (Input) The user uses the terminal to select the copyrighted material or portrait they wish to upload.

[0351] (Action) The user opens a file selection dialog, selects the appropriate file, and clicks the "Upload" button.

[0352] (Output) The path and associated metadata of the selected files are generated.

[0353] The server receives the file sent by the user and stores it in a database, acquiring basic information such as the file format and size.

[0354] Step 2:

[0355] (Input) The file data and its associated metadata received by the server.

[0356] (Operation) The server assigns a unique identifier to the received file and generates metadata such as the copyright holder name and creation date.

[0357] (Output) Identifiers and metadata are generated and stored in a database.

[0358] Step 3:

[0359] (Input) The crawl agent startup schedule set on the server. For example, every day at 2 AM.

[0360] (Operation) The server automatically starts the crawl agent at the specified time.

[0361] (Output) The crawling agent begins the process of collecting data from websites, social media sites, blogs, etc. on the Internet.

[0362] Step 4:

[0363] (Input) Content on the Internet collected by crawling agents.

[0364] (Operation) The crawling agent sends the collected data to the server, which receives it and compares it with registered copyrighted works and portraits in its database.

[0365] (Output) Detailed information about the collected data (URL, capture date and time, etc.) is sent to the server, and the similarity calculation results are obtained. The server determines whether or not the data has been used without permission.

[0366] Step 5:

[0367] (Input) Detailed information about the infringing content detected as a result of the server's comparison.

[0368] (Operation) If the server detects any unauthorized use or infringement, it will record the URL and screenshots of the content, and automatically send a warning email to the violator.

[0369] (Output) Records of the URL and screenshots of the infringing content, as well as records of warning emails sent, are stored in a database.

[0370] Step 6:

[0371] (Input) Capture and metadata of the infringing content recorded by the server.

[0372] (Operation) The server stores this information securely in case of future litigation, making it accessible to users and legal personnel as needed.

[0373] (Output) Metadata such as capture, access date and time, URL, IP address etc. are securely stored in a database.

[0374] Step 7:

[0375] (Input) Data about the user's emotional state (e.g., facial expressions, vocal changes, etc.).

[0376] (Operation) The emotion engine analyzes the user's emotional state and generates notification and warning messages based on that. The emotion engine also generates an emotion log based on the data provided.

[0377] (Output) The notification content and warning messages customized by the emotion engine, as well as the analyzed emotion log, are saved in a database.

[0378] (Application example 2)

[0379] 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."

[0380] Conventional copyright and portrait protection systems do not take into account the user's emotional state when detecting unauthorized use or issuing warnings, which can cause excessive stress and anxiety to users. Furthermore, if infringing content is not detected or evidence is not stored efficiently, legal procedures can become difficult. Therefore, the present invention aims to recognize the user's emotional state and enable flexible responses accordingly, thereby reducing the user's mental burden and more efficiently protecting copyrights and portrait rights.

[0381] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0382] In this invention, the server includes a means for registering copyrighted works and portrait materials, a means for crawling information on the Internet to detect infringement of copyrights and portrait rights, a means for issuing a warning when an infringement is detected, a means for storing evidence of the infringement, a means for recognizing a user's emotions, and a means for adjusting the content of notifications and warnings according to the user's emotional state. This enables effective and flexible protection of copyrights and portrait rights while taking the user's emotional state into consideration.

[0383] A "work" is an original literary, scientific, artistic, musical, or other expression created by an author.

[0384] A "portrait" is a representation of a person's face or figure in a photograph, painting, sculpture, etc.

[0385] "Registration" is the act of recording and storing certain information or data in a system.

[0386] "Means" refers to a method, device, program, etc. used to achieve a specific purpose.

[0387] "Internet information" refers to any digital content that exists on any medium connected to the Internet, such as websites, social networking services, blogs, etc.

[0388] "Crawling" is the process of automatically collecting and analyzing information on the Internet using specific algorithms.

[0389] "Infringement" refers to the act of using another person's copyright or portrait rights without permission.

[0390] A "warning" is a notification to a third party engaging in problematic behavior, urging them to stop.

[0391] "Evidence preservation" is the act of securely storing evidence of infringing activity to support future legal proceedings.

[0392] "Emotion recognition" is the process of identifying a user's emotional state based on their facial expressions, voice, and other physiological data.

[0393] "Adjusting the content of notifications and warnings" refers to the act of appropriately changing the message and tone of notifications and warnings depending on the user's emotional state.

[0394] The system of the present invention comprises the following means for efficiently protecting copyrighted works and portraits: Details of each means and processing method will be described for an embodiment of the system.

[0395] Registration of copyrighted works and portraits

[0396] Users upload their copyrighted works and portraits (e.g., images, text, videos, etc.) to the system via their terminals. The server receives this data, generates a specific identifier, and stores it in a database. When registering, metadata such as the copyright holder's name and creation date are also generated and stored.

[0397] For example, when a user uploads a photo, they select the photo file from the file selection dialog on their device and click the "Upload" button. The server then receives the photo data, stores it in a database, and generates an identifier. Metadata such as copyright owner information and upload date and time are also stored.

[0398] Crawling for information on the Internet

[0399] The server launches a crawling AI agent at regular intervals to crawl information on websites, social networking services, blogs, etc. The crawled information is sent to the server and compared with registered copyrighted works and portraits to check for any unauthorized use.

[0400] For example, the server launches a crawling agent at 2 a.m. every day, analyzing images on the Internet and calculating their similarity with images in the database, allowing the system to automatically check whether a user's copyrighted work has been used without permission.

[0401] Violation detection and warning

[0402] If the server detects unauthorized use, it will record the URL and screenshots of the content in question as a means of issuing a specific warning. It will automatically send a warning email to the violator, including details of the infringement and a message urging them to stop. The detected violation status will be stored in a database, and users will be notified as necessary.

[0403] For example, if the system detects that a user's photo has been posted on another blog without permission, the server will save the blog's URL and screenshots, send a warning email to the violator, and report the violation via email or in-system message based on the user's notification settings.

[0404] Preserving evidence for litigation

[0405] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future legal proceedings. The database properly categorizes and securely stores this evidence, making it accessible to users and legal personnel as needed.

[0406] For example, the server stores screenshots of the infringing blogs, along with the access date and time, and URLs. In the event of a lawsuit, users and legal personnel can retrieve this evidence from the database and use it to take appropriate legal action.

[0407] Emotion recognition and notification content adjustment

[0408] The device's built-in emotion recognition engine analyzes the user's facial expressions and voice to determine their emotional state. Based on the recognized emotion, the server adjusts the content of notifications and warnings. For example, if the system detects that the user is feeling anxious or angry, it will notify them in a gentle tone. Conversely, if the system detects that the user is calm, it will notify them in a more direct tone.

[0409] For example, when a user receives a breach notification, the emotion engine analyzes the user's emotional state and notifies them with appropriate wording. The emotion engine also analyzes the user's facial expressions and voice changes and records them in a database. This allows us to keep a log of the user's emotions and use them for future analysis.

[0410] Hardware and software used

[0411] Hardware: The smartphone used by the user

[0412] Software: Python, OpenCV, PIL, sklearn, emotion_recognition library

[0413] Prompt Sentence Examples

[0414] "Design your application to detect and notify unauthorized use of copyrighted material in an ethical and effective manner, sensitive to user sentiment."

[0415] This allows users to feel secure about protecting their own content.

[0416] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0417] Step 1:

[0418] Users use their terminals to upload copyrighted works or portraits to the system. They select a file from the terminal's file selection dialog and click the "Upload" button. The server receives this data and stores the image data and metadata (copyright holder name, creation date) in a database. The input is the file path and metadata, and the output is the copyrighted work information stored in the database.

[0419] Step 2:

[0420] The server launches a crawling AI agent at regular intervals to crawl information on the Internet. The AI ​​agent collects information from multiple websites, social networking services, and blogs and sends it to the server. The input is a list of URLs to be crawled, and the output is the collected web content data.

[0421] Step 3:

[0422] The server compares the information it has collected through crawling with registered copyrighted works and portraits. It primarily uses cosine similarity to calculate the similarity of images and text. The input is the collected web content data and registered copyrighted work data, and the output is the similarity calculation result.

[0423] Step 4:

[0424] If the server detects unauthorized use, it records the URL and screenshots of the content. It also automatically sends a warning email to the violator, which includes details of the infringement and a message urging them to stop. The input is the similarity calculation result, and the output is the stored evidence data and the sent warning email.

[0425] Step 5:

[0426] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future legal proceedings. The database properly classifies and securely stores this evidence information. The input is the infringing content and its metadata, and the output is the evidence information stored in the database.

[0427] Step 6:

[0428] The user's device uses an emotion recognition engine to analyze the user's facial expressions and voice to determine their emotional state. The emotion recognition engine collects data from the user's facial expressions and voice and uses a machine learning model to identify emotions. The input is the user's facial expression data and voice data, and the output is the emotion recognition result.

[0429] Step 7:

[0430] The server adjusts the content of notifications and warnings based on the recognized user emotion. For example, if the user is recognized as feeling anxious or angry, it selects a gentle-toned notification. Conversely, if the user is recognized as calm, it selects a direct notification. The input is the emotion recognition result, and the output is the adjusted notification text.

[0431] This clarifies the specific operations and inputs / outputs at each processing step, enabling efficient and less burdensome copyright protection for users.

[0432] 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.

[0433] 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.

[0434] 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.

[0435] [Second embodiment]

[0436] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0437] 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.

[0438] 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).

[0439] 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.

[0440] 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.

[0441] 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).

[0442] 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.

[0443] 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.

[0444] 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.

[0445] 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.

[0446] 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.

[0447] 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."

[0448] The system of the present invention is designed to efficiently protect copyrighted works and portraits, and is implemented as follows: A user first registers a copyrighted work or portrait in the system. Once this registration process is complete, the system can crawl content on the Internet and automatically detect content that infringes the registered copyrighted work or portrait.

[0449] 1. Registration of copyrighted works and portraits

[0450] A user uploads copyrighted material or portraits (e.g., images, text, videos, etc.) to the system using a terminal. The server receives the uploaded data and stores it in a database. At this time, the server assigns an identifier to the copyrighted material or portrait and generates appropriate metadata (e.g., copyright holder name, creation date, etc.).

[0451] As a concrete example, consider the case where a user uploads their own photo. The user selects a photo file from the file selection dialog on their device and clicks the "Upload" button. The server then receives the photo data and stores it in the database. Metadata such as copyright holder information (user ID) and upload date and time are also generated and stored at the same time.

[0452] 2. Crawl research on the Internet

[0453] The server launches a crawling AI agent at regular intervals to crawl content on websites, social media, blogs, etc. The crawled content is sent to the server and compared with registered copyrighted works and portraits, allowing the system to detect unauthorized use and copying.

[0454] As a concrete example, consider a process where a server launches a crawling agent at 2 a.m. every day, analyzing images on the Internet and calculating their similarity with images in a database. This process allows the system to automatically check whether users' copyrighted work has been used without permission.

[0455] 3. Violation detection and warning

[0456] If an infringement is detected, the server records the URL and screenshots of the content. The server also automatically sends a warning email to the violator, which includes details of the infringement and a message urging them to stop. The detected infringement status is also stored in a database and users are notified.

[0457] As a concrete example, consider a case where AI discovers that a user's photo has been posted on a blog without permission. The server saves the blog's URL and screenshots, and sends a warning email to the violator. The server also reports this violation to the user via email or an in-system message based on the user's notification settings.

[0458] 4. Preservation of evidence

[0459] The server stores captures of infringing content and metadata (e.g., date, time, URL, IP address, etc.) for future litigation. The database is designed to properly classify and securely store evidence, which can be accessed by users and legal personnel as needed.

[0460] For example, a server might store screenshots of infringing blogs, along with their access dates and times and URLs. In the event of a lawsuit, users or legal personnel can retrieve this evidence from the database and use it to take appropriate legal action.

[0461] The above is a specific embodiment of the system of the present invention, which allows users to protect their copyrights and portrait rights without much effort. Furthermore, automated crawling and infringement detection allows for early detection of infringement, enabling prompt action. Furthermore, proper storage of evidence facilitates future legal action.

[0462] The processing flow will be explained below.

[0463] 1. Registration of copyrighted works and portraits

[0464] Step 1:

[0465] The user uses the device to select the copyrighted or portrait material, specifically by opening the device's file selection dialog and selecting the image, document, or video file they want to upload.

[0466] Step 2:

[0467] The user clicks the "Upload" button, which sends the selected file to the server.

[0468] Step 3:

[0469] The server receives the uploaded data, specifically, extracts the file data included in the HTTP request body.

[0470] Step 4:

[0471] The server stores data on copyrighted works and portraits in a database, generating an identifier and storing it along with metadata such as copyright holder information.

[0472] Step 5:

[0473] The server returns a success message to the user, so that the user can confirm that the file was successfully uploaded.

[0474] 2. Crawl research on the Internet

[0475] Step 1:

[0476] The server launches the crawling AI agent at regular intervals, for example, at 2:00 AM every day as a scheduled task.

[0477] Step 2:

[0478] The AI ​​agent crawls websites, social media sites, blogs, etc. on the Internet and collects content, which is then sent to a server.

[0479] Step 3:

[0480] The server analyzes the collected content and applies image comparison and text analysis algorithms to compare it with registered copyrighted works and portraits.

[0481] 3. Violation detection and warning

[0482] Step 1:

[0483] If the server detects any infringing content, it will record the URL and screenshots of the page. Specifically, it will store the URL of the infringing page in a database and capture and save a screenshot.

[0484] Step 2:

[0485] The server will automatically send a warning email to violators, which will include details of the violation and a urging them to stop.

[0486] Step 3:

[0487] The server notifies the user of the violation status by sending an email or an in-system message based on the user's notification settings. The notification includes detailed information about the violation.

[0488] 4. Preserving evidence for litigation

[0489] Step 1:

[0490] The server stores details of the violation (e.g. URL, date and time, screenshots, IP address, etc.) in a database, ensuring evidence for future legal action.

[0491] Step 2:

[0492] The database properly classifies and safely stores evidence information, and access rights are set to prevent unauthorized access.

[0493] Step 3:

[0494] Allow users and legal personnel to access evidential information. Authenticate users and allow authenticated users to retrieve evidential information.

[0495] This specific processing step enables efficient protection of copyrighted works and portraits. Users can easily register copyrighted works and portraits, and the server automatically detects infringements on the Internet and takes prompt action. Furthermore, the storage of evidence facilitates legal action.

[0496] Example 1

[0497] 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."

[0498] In today's world, there are many cases of copyrighted works and portraits being used without permission on the Internet. Traditional manual monitoring and response to infringements of copyright and portrait rights is extremely labor-intensive, and a rapid response is required. It is also important to properly store evidence of infringement and take legal action, but this is also difficult to manage manually.

[0499] 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.

[0500] In this invention, the server includes a means for registering copyrighted works and portrait materials, a means for collecting information on the Internet to detect infringement of copyrights and portrait rights, a means for issuing a warning when an infringement is detected, a means for storing evidence of the infringement, a means for receiving data uploaded by users and storing it in a database, a means for calculating and comparing the similarity of the collected information, a means for automatically sending warning emails, and a means for notifying users. This enables efficient protection of copyrighted works and portrait materials, early detection of infringement, prompt warnings, and appropriate storage of evidence.

[0501] A "work" is a creative work such as text, images, or video, and is protected by copyright.

[0502] A "portrait" is a media such as a photograph or video that depicts a person's face or figure, and is subject to protection by portrait rights.

[0503] "Information on the Internet" refers to digital content accessible via the Internet, such as web pages, social networking services, and blogs.

[0504] A "server" is a computer system that receives, processes, and stores data over a network.

[0505] A "database" is a system that organizes and stores data and allows for efficient searching and management.

[0506] "Collection" refers to the act of acquiring information for a specific purpose, and in this invention particularly refers to the acquisition of digital content on the Internet.

[0507] A "warning" is a notification that warns of illegal activity or misuse and urges you to stop it.

[0508] "Evidence" is information or data that can be used as legal evidence to prove an infringing act.

[0509] "Calculating and comparing similarities" refers to the process of using an algorithm to compare collected digital content with registered copyrighted works and portraits and evaluate the degree of similarity.

[0510] "Metadata" is additional information that includes information about the data, and in this invention refers to the name of the copyright holder, the creation date, and the like.

[0511] "User" means a user of the System who uploads copyrighted material and / or portraits and uses the System to protect their rights.

[0512] The present invention relates to a system for efficiently protecting copyrighted works and portraits, and is implemented in the following manner: A user first registers a copyrighted work or portrait in the system. Once this registration process is complete, the system has the ability to collect information on the Internet and automatically detect content that infringes the registered copyrighted work or portrait.

[0513] Specifically, this system protects copyright and portrait rights using the following steps:

[0514] A user uses a terminal to upload copyrighted material or portraits (e.g., images, text, videos, etc.) to the system. The server receives the data from the user and stores it in a database. During this process, the server assigns an identifier to the copyrighted material or portrait, and automatically generates and stores metadata such as the name of the copyright holder and the date of creation.

[0515] As a concrete example, consider the case where a user uploads their own photo. The user selects a photo file from the file selection dialog on the device and clicks the "Upload" button. The server then receives the photo data "my_photo.jpg" and saves it in the database with the identifier "image123." It also generates and saves the copyright holder information "userID123" and the upload date and time "2023-10-02" as metadata.

[0516] Next, the server launches a crawling AI agent based on a set schedule (for example, every day at 2:00 AM). The crawling AI agent collects content from web pages, social networking services, blogs, etc. on the Internet. The collected content is sent to the server, which analyzes it and compares it with registered copyrighted works and portraits in the database to calculate similarities.

[0517] For example, the server could launch an AI agent at 2 a.m. to collect images from the internet and compare them with "my_photo.jpg" in the database. Based on the results of this comparison, it could determine whether registered copyrighted material has been used without permission.

[0518] If a violation is detected, the server will record the URL and screenshots of the content. Additionally, the server will automatically send a warning email to the violator, which will include details of the violation and a request to stop. Users will be notified of the violation via email and in-system messages.

[0519] For example, if the AI ​​discovers that a user's photo has been posted on a blog without permission, the server will save the blog's URL (http: / / example.com / blog123) and a screenshot, then automatically send a warning email to the violator and notify the user via email.

[0520] The server stores captures of infringing content and metadata (e.g., date, time, URL, IP address, etc.) for future litigation. The database is designed to properly classify and securely store evidence, which users and legal personnel can access as needed.

[0521] For example, the server stores screenshots of the infringing blog, the access date and time (2023-10-02 03:00), and the URL (http: / / example.com / blog123). In the event of a lawsuit, users or legal personnel can retrieve this evidence from the database and use it in legal action.

[0522] The above is a specific embodiment of the system of the present invention, which allows users to efficiently protect their copyrights and portrait rights. Furthermore, automated crawling and infringement detection enable rapid response, and proper storage of evidence facilitates future legal action.

[0523] Example prompt sentence:

[0524] By inputting the following prompt sentence into the generative AI model, a description of the above system can be generated.

[0525] This system is designed to protect copyrighted works and portraits. The process begins with a user uploading copyrighted works or portraits (e.g., images, text, videos, etc.) using a terminal, and the server receives the uploaded data and stores it in a database. The server then crawls content on the Internet and automatically detects content that infringes registered copyrighted works or portraits. This allows it to detect unauthorized use or copying, send warning emails to violators, and preserve evidence.

[0526] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0527] Step 1:

[0528] The user uploads a copyrighted work or portrait. The user accesses the system's upload page through the browser on their device and uses the "Select File" button to select the copyrighted work or portrait to upload. The input is the file selected by the user, and the output is the file data sent to the server.

[0529] Specific behavior:

[0530] The user selects a photo called "my_photo.jpg" from the file selection dialog on the device and clicks the "Upload" button. The device then sends this file to the server.

[0531] Step 2:

[0532] The server stores the received file. The server receives the file sent by the user, verifies its contents, and stores it in a database. During this process, the server assigns an identifier to the file and generates metadata (e.g., copyright holder name, creation date, etc.). The input is the file data sent from the device, and the output is the file and associated metadata stored in the database.

[0533] Specific behavior:

[0534] The server receives "my_photo.jpg", assigns it the identifier "image123", and stores it in the database. It also generates and stores the copyright holder information "userID123" and the upload date and time "2023-10-02" as metadata.

[0535] Step 3:

[0536] The server launches the crawling AI agent. The server launches the AI ​​agent at the set time (e.g., 2:00 AM every day) according to the crawling schedule. The input is the schedule data, and the output is the launched AI agent.

[0537] Specific behavior:

[0538] The server launches a crawling agent at 2 a.m. This agent collects content from web pages, social networking services, blogs, and other sources on the Internet.

[0539] Step 4:

[0540] The server analyzes the collected content. The content collected by the AI ​​agent is sent to the server, which analyzes it, compares it with registered copyrighted works and portraits in the database, and calculates the similarity. The input is the collected content data, and the output is the similarity calculation result.

[0541] Specific behavior:

[0542] The server compares the collected images with "my_photo.jpg" in the database and calculates the similarity of the images.

[0543] Step 5:

[0544] The server detects infringement. Based on the similarity calculation result, the server detects unauthorized use of copyrighted material or portraits. The input is the similarity calculation result, and the output is the infringement detection result.

[0545] Specific behavior:

[0546] If the calculated similarity exceeds a certain threshold, the server determines that the image has been used without permission.

[0547] Step 6:

[0548] The server records the URLs and screenshots of infringing content. If an infringement is detected, the server records the URLs and screenshots of the content. The input is the infringement detection result, and the output is the recorded URLs and screenshots.

[0549] Specific behavior:

[0550] The server saves the URL of the violating blog, "http: / / example.com / blog123," along with a screenshot of it.

[0551] Step 7:

[0552] The server sends a warning email. If an infringement is detected, the server automatically sends a warning email to the violator. The input is the infringement detection result and the violator's contact information, and the output is the sent warning email.

[0553] Specific behavior:

[0554] The server automatically sends a warning email to violators stating that "content at the specified URL is being used without permission and should be deleted immediately."

[0555] Step 8:

[0556] The server notifies the user. Based on the user's notification settings, the server reports the breach status by sending emails or internal messages. The inputs are the breach detection results and the user's notification settings, and the output is the sent notification.

[0557] Specific behavior:

[0558] The server sends the user an email stating, "Your copyrighted work has been used without permission. Please check the URL below."

[0559] Step 9:

[0560] The server stores evidence. The server stores captures and metadata of infringing content for future litigation. The input is the infringing content information, and the output is the stored evidence data.

[0561] Specific behavior:

[0562] The server will save a screenshot of the violating blog, along with its access date and time (2023-10-02 03:00) and URL (http: / / example.com / blog123).

[0563] The above are the specific processing steps of this system, which allows users to efficiently protect their copyrights and portrait rights, and achieves quick response and appropriate storage of evidence.

[0564] (Application example 1)

[0565] 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."

[0566] Infringement of copyrights and portrait rights on the Internet is on the rise, and conventional manual monitoring and response methods tend to be slow. Furthermore, evidence is sometimes not collected or stored properly, resulting in the time and effort required for legal action. The present invention aims to solve these problems and provide a fast and efficient method for protecting copyrighted works and portraits.

[0567] 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.

[0568] In this invention, the server includes means for registering copyrighted works and portrait materials, means for crawling content on the Internet to detect infringement of copyrights and portrait rights, means for issuing a warning when an infringement is detected, means for storing evidence of the infringement, means for uploading copyrighted works and portrait materials using a smart device, means for using image recognition technology to detect infringement, means for activating the crawl agent at specified time intervals, and means for automatically sending a warning email, thereby enabling infringement of copyrights and portrait rights on the Internet to be quickly detected and automatically addressed.

[0569] "Work" refers to any work of creative expression or product of knowledge that is protected by copyright law.

[0570] "Portraits" refer to photographs, paintings, etc. that depict an individual's figure or face, and are objects protected by portrait rights.

[0571] "Crawling" refers to the process of automatically visiting web pages on the Internet and gathering information.

[0572] A "warning" refers to the act of notifying someone who is infringing copyright or portrait rights to stop the infringing behavior.

[0573] "Evidence" refers to specific data or records that show infringement of copyright or portrait rights, and serves as the basis for legal action.

[0574] "Smart device" refers to a high-technology device that has internet connectivity and is capable of running applications.

[0575] "Image recognition technology" refers to technology that uses computer vision and deep learning technologies to automatically recognize and classify the content of images.

[0576] A "crawl agent" refers to a program that automatically crawls web pages on the Internet and collects content.

[0577] A "warning email" refers to an email sent when a copyright or portrait right infringement is detected, urging the infringer to stop the infringing behavior.

[0578] "Content distribution platform" refers to an online medium that allows users to widely publish and share content they create.

[0579] The present invention provides a system for efficiently detecting and quickly dealing with infringement of copyrights and portrait rights on the Internet. Specific embodiments for carrying out the present invention will be described below.

[0580] System configuration

[0581] The system of the present invention comprises the following main components:

[0582] 1. How to register copyrighted works and portraits

[0583] 2. A method for crawling content on the Internet to detect copyright and portrait rights infringement

[0584] 3. Means of issuing warnings when infringement is detected

[0585] 4. Means of preserving evidence of infringement

[0586] 5. Uploading copyrighted material or portraits using a smart device

[0587] 6. Using image recognition technology to detect infringement

[0588] 7. How to launch the crawl agent at specified intervals

[0589] 8. Automatically sending warning emails

[0590] Specific hardware and software

[0591] Hardware:

[0592] Smartphone: A modern smartphone, which users use to take and upload copyrighted material and portraits.

[0593] Smart Glasses: Smart glasses with advanced camera capabilities, allowing users to easily capture images and send them to the system.

[0594] software:

[0595] Firebase Authentication: Used to manage user registration and authentication.

[0596] Google Cloud Storage: Used to store uploaded image and video data.

[0597] TensorFlow: Used for image recognition and similarity detection.

[0598] BeautifulSoup: Used to crawl content on the internet.

[0599] SendGrid: Used to send alert emails.

[0600] Processing Description

[0601] 1. User Registration and Login

[0602] Users create an account and log in using Firebase Authentication using their smartphone or smart glasses.

[0603] 2. Registration of copyrighted works and portraits

[0604] Users use their smart devices to take or select copyrighted material or portraits and upload them to Google Cloud Storage, at which point the server generates metadata (such as copyright owner information) and stores it in Firestore.

[0605] 3. Internet Crawl

[0606] A crawling agent using BeautifulSoup runs at specified intervals, crawling through content on websites, social media, blogs, and other sites on the Internet and collecting image data.

[0607] 4. Breach Detection

[0608] Using TensorFlow, the crawling agent compares the images collected with copyrighted works and portraits registered in the system to calculate similarities, a process that automatically identifies infringing content.

[0609] 5. Warnings and Notifications

[0610] If a breach is detected, an automatic email warning will be sent using SendGrid, and users will be notified via in-system notifications and email.

[0611] 6. Preservation of evidence

[0612] The server stores evidence of the infringing content, such as screenshots, URLs, and metadata, in Google Firestore, which can be used to protect against future legal action.

[0613] Specific examples

[0614] For example, consider a scenario in which a user uploads a photo they took to the system and later detects that the photo has been used without permission on the Internet. In this case, the server will automatically identify the infringing content, send a warning email, and store screenshots and related data of the infringing content as evidence and report it to the user.

[0615] You can also use a generative AI model to prompt like this:

[0616] "This program detects whether images uploaded by users are being used without permission and automatically sends warning emails. I would like to know the following information:

[0617] 1. What is the best way to crawl images on the internet?

[0618] 2. How can I improve the accuracy of image similarity detection using TensorFlow?

[0619] Thus, the present invention provides a system for quickly and efficiently detecting and responding to copyright and portrait right infringements on the Internet.

[0620] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0621] Step 1:

[0622] The user uses a smart device to take a photograph of a copyrighted work or portrait, or select it from existing files, and upload it.

[0623] Input: Image or video files selected or captured by the user.

[0624] Data processing: The device takes the selected file and converts it into the appropriate format.

[0625] Output: Format converted image and video files.

[0626] Specific operation: The user takes a photo with the camera on their smart device and presses the upload button in the app to send the data to the server.

[0627] Step 2:

[0628] The server stores the received copyrighted material and portraits in Google Cloud Storage, generates metadata, and records it in Firestore.

[0629] Input: Image and video files sent from smart devices.

[0630] Data calculation: The server generates an identifier for the file and creates metadata including the upload date and time and copyright owner information.

[0631] Output: Files stored in Google Cloud Storage and metadata recorded in Firestore.

[0632] Specific operation: The server uploads the image file to Google Cloud Storage and writes information such as its URL, upload date and time, and user ID to Firestore.

[0633] Step 3:

[0634] The server starts a crawling agent at a specified time interval to collect content on the Internet.

[0635] Input: Crawl agent launch trigger (time interval).

[0636] Data processing: Crawling agents collect image data from sources such as websites, social media, and blogs.

[0637] Output: Collected image data.

[0638] Specific operation: The crawling agent starts, for example, at 2:00 AM, and visits each website based on the specified URL list and downloads image data.

[0639] Step 4:

[0640] The server uses TensorFlow to evaluate the similarity between the collected image data and registered copyrighted works and portraits.

[0641] Input: Collected image data and registered copyright data.

[0642] Data calculation: Using a TensorFlow model, features of each image are extracted and similarity comparisons are performed.

[0643] Output: A list of similarity ratings.

[0644] Specific operation: The server inputs the collected images into the TensorFlow model, calculates the similarity score, and generates matching results with the registered images.

[0645] Step 5:

[0646] If the server detects an infringement based on similarity assessment, a warning email will be automatically sent using SendGrid.

[0647] Input: The result of the similarity assessment.

[0648] Data manipulation: Extract data about infringing content and insert it into email templates.

[0649] Output: Send a warning email to the infringer.

[0650] Specific operation: The server retrieves the image information that is determined to be in violation and sends a warning email to the specified email address via SendGrid.

[0651] Step 6:

[0652] The server stores evidence of the breach and notifies the user.

[0653] Input: Similarity rating and URL and screenshot of the infringing content.

[0654] Data Computing: Store infringing content information in Firestore and generate email or in-app notifications.

[0655] Output: Evidence data stored in Firestore and a notification to the user.

[0656] What happens: The server saves screenshots of the infringing content, the URL, and the date and time of the infringing content in Firestore, and sends a notification email or in-app message to the user.

[0657] These steps enable the system of the present invention to quickly and efficiently detect and respond to copyright and publicity rights infringement on the Internet.

[0658] 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.

[0659] The system of the present invention is designed to efficiently protect copyrighted works and portraits, and is combined with an emotion engine that recognizes user emotions and adjusts actions accordingly. Specific embodiments of the system are described below.

[0660] 1. Registration of copyrighted works and portraits

[0661] Users use their devices to upload copyrighted works and images (e.g., images, text, videos, etc.) to the system. The server receives this data and stores it in a database. During the registration process, the server assigns an identifier to each copyrighted work or image and generates metadata (e.g., copyright holder name, creation date, etc.).

[0662] For example, when a user wants to upload their own photo, they select the photo file from the file selection dialog on their device and click the "Upload" button. The server then receives the photo data and stores it in the database. Metadata such as copyright holder information and upload date and time are also stored.

[0663] 2. Crawl research on the Internet

[0664] The server launches a crawling AI agent at regular intervals to crawl content on the Internet, such as websites, social media, blogs, etc. The crawled content is sent to the server and compared with registered copyrighted works and portraits to check for unauthorized use or copying.

[0665] For example, the server launches a crawling agent at 2 a.m. every day, analyzing images on the Internet and calculating their similarity with images in the database. This allows the system to automatically check whether users' copyrighted work has been used without permission.

[0666] 3. Violation detection and warning

[0667] If an infringement is detected, the server records the URL and screenshots of the content. Additionally, the server automatically sends a warning email to the violator, including details of the infringement and a message urging them to stop. The detected infringement status is stored in a database and the user is notified.

[0668] For example, if the AI ​​discovers that a user's photo has been posted on another blog without permission, the server will save the blog's URL and screenshots, send a warning email to the violator, and report the violation via email or in-system message based on the user's notification settings.

[0669] 4. Preserving evidence for litigation

[0670] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future litigation. The database properly categorizes and securely stores the evidence, which can be accessed by users and legal personnel as needed.

[0671] For example, the server stores screenshots of the infringing blogs, along with the access date and time, and URLs. In the event of a lawsuit, users and legal personnel can retrieve this evidence from the database and use it to take appropriate legal action.

[0672] 5. Introducing the Emotion Engine

[0673] The system is equipped with an emotion engine that recognizes the user's emotions, allowing it to tailor notifications and warnings to suit the user's emotional state. For example, if the emotion engine detects that the user is anxious or angry, the system will respond by providing gentler notifications and warnings. Conversely, if the system detects that the user is calm, it will provide more direct notifications.

[0674] For example, when a user receives a notice of infringement, the emotion engine analyzes the user's emotional state and sends the notice in an appropriate format. The emotion engine also analyzes the user's facial expressions and voice changes and records them in a database. This allows the user's emotional log to be kept and used for future analysis.

[0675] These processes enable the system of the present invention to efficiently protect copyrighted works and portraits, while also enabling flexible responses that take into account the feelings of users, allowing users to protect their copyrights and portrait rights without feeling stressed.

[0676] The processing flow will be explained below.

[0677] 1. Registration of copyrighted works and portraits

[0678] Step 1:

[0679] The user uses the device to select the copyrighted or portrait material, specifically by opening the device's file selection dialog and selecting the image, document, or video file they want to upload.

[0680] Step 2:

[0681] The user clicks the "Upload" button, which sends the selected file to the server.

[0682] Step 3:

[0683] The server receives the uploaded data, specifically, extracts the file data included in the HTTP request body.

[0684] Step 4:

[0685] The server stores data on copyrighted works and portraits in a database, generating an identifier and storing it along with metadata such as copyright holder information.

[0686] Step 5:

[0687] The server returns a success message to the user, so that the user can confirm that the file was successfully uploaded.

[0688] 2. Crawl research on the Internet

[0689] Step 1:

[0690] The server launches the crawling AI agent at regular intervals, for example, at 2:00 AM every day as a scheduled task.

[0691] Step 2:

[0692] The AI ​​agent crawls websites, social media sites, blogs, etc. on the Internet and collects content, which is then sent to a server.

[0693] Step 3:

[0694] The server analyzes the collected content and applies image comparison and text analysis algorithms to compare it with registered copyrighted works and portraits.

[0695] 3. Violation detection and warning

[0696] Step 1:

[0697] If the server detects any infringing content, it will record the URL and screenshots of the page. Specifically, it will store the URL of the infringing page in a database and capture and save a screenshot.

[0698] Step 2:

[0699] The server will automatically send a warning email to violators, which will include details of the violation and a urging them to stop.

[0700] Step 3:

[0701] The server notifies the user of the violation status by sending an email or an in-system message based on the user's notification settings. The notification includes detailed information about the violation.

[0702] 4. Preserving evidence for litigation

[0703] Step 1:

[0704] The server stores details of the violation (e.g. URL, date and time, screenshots, IP address, etc.) in a database, ensuring evidence for future legal action.

[0705] Step 2:

[0706] The database properly classifies and safely stores evidence information, and access rights are set to prevent unauthorized access.

[0707] Step 3:

[0708] Allow users and legal personnel to access evidential information. Authenticate users and allow authenticated users to retrieve evidential information.

[0709] 5. Introducing the Emotion Engine

[0710] Step 1:

[0711] When a user uses a device to check a breach notification, the system recognizes the user's emotional state by analyzing the user's facial expressions and voice.

[0712] Step 2:

[0713] The emotion engine analyzes the user's emotional state and identifies states such as optimistic, calm, anxious, angry, etc. The analysis results are sent to the server.

[0714] Step 3:

[0715] The server adjusts the notification content and warning message based on the analysis results of the emotion engine. For example, if the user is feeling anxious, the notification will be delivered in a gentle tone.

[0716] Step 4:

[0717] The server sends the adjusted notification content to the user, who receives the notification on their device and checks the content according to their emotions.

[0718] Step 5:

[0719] The server logs the user's emotional state and stores it for future analysis, allowing us to maintain a history of the user's emotions and use it to further improve our response.

[0720] The above processing steps not only realize efficient protection of copyrighted works and portrait rights, but also allow for flexible responses that take into account the feelings of users, allowing users to carry out the process of protecting their copyrights and portrait rights without feeling stressed.

[0721] Example 2

[0722] 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."

[0723] As the number of illegal copyrighted works and unauthorized use of portrait images on the Internet increases, there is a need to quickly and efficiently detect and respond to such cases. In particular, when it comes to protecting copyrights and portrait rights, it is important to preserve evidence and take legal action when infringement occurs. However, these processes are currently often performed manually, placing a heavy burden on users. Furthermore, there is a lack of mechanisms for providing appropriate notifications and warnings that take user feelings into consideration, which can cause users to feel stressed.

[0724] 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 a means for registering copyrighted works and portrait materials, a means for crawling content on the Internet to detect infringement of copyright or portrait rights, a means for issuing a warning when an infringement is detected, a means for saving the detected infringement and storing evidence in preparation for litigation, and a means including an emotion engine that recognizes user emotions and adjusts notifications and warning messages. This makes it possible to efficiently protect copyrights and portrait rights and to flexibly respond in consideration of user emotions.

[0725] A "work" is any form of expression resulting from human creative activity, such as literature, music, art, photography, or film, for which copyright is granted to its author.

[0726] A "portrait" is any image, video, photograph, or other form of expression that depicts the face or figure of an individual, to which the individual has portrait rights.

[0727] A "server" is a computer system that provides data and services to clients over a network.

[0728] A "terminal" is an electronic device such as a computer or smartphone that is operated by a user and used to exchange data with a server.

[0729] "Crawling" is a technique that automatically crawls websites and web pages on the Internet and collects information.

[0730] A "warning" is a notice that requests an action to be stopped when unauthorized use or infringement of copyrighted material or likeness is discovered.

[0731] "Evidence preservation" refers to the secure storage of breach details and related data for use in future legal proceedings.

[0732] The "emotion engine" is a system that analyzes the user's emotional state and adjusts notification content and warning messages based on this.

[0733] "Identifier" means a number or code assigned to a copyrighted work or portrait to uniquely identify it.

[0734] The system of the present invention combines an emotion engine that recognizes user emotions and adjusts actions to effectively protect copyrighted works and portraits. A specific embodiment of this system is described below.

[0735] 1. Registration of copyrighted works and portraits

[0736] Users use their devices to upload copyrighted works and portraits, such as images, text, and videos, to the system. The user selects the file they want to upload from the file selection dialog on their device and clicks the "Upload" button. The server then receives the uploaded data and stores it in a database. The server then assigns an identifier to each copyrighted work or portrait and generates metadata (such as the name of the copyright holder and the date of creation).

[0737] Specific examples

[0738] When a user uploads a family photo, they select the photo file from the file selection dialog and click the "Upload" button. The server then receives the photo data and stores it in the database. Metadata such as copyright owner information and upload date and time are also recorded.

[0739] 2. Crawl research on the Internet

[0740] The server launches a crawling AI agent at regular intervals. The crawling agent collects data from websites, social media sites, blogs, etc. on the Internet. The collected data is sent to the server and compared with registered copyrighted works and portraits in a database to check for unauthorized use or copying.

[0741] Specific examples

[0742] Every day at 2 a.m., the server launches a crawling agent that analyzes images on the internet and compares them with images in the database. If there is a match, the system determines that the images may have been used without permission.

[0743] 3. Violation detection and warning

[0744] If an infringement is detected, the server records the URL and screenshots of the content. Additionally, the server automatically sends a warning email to the violator, including details of the infringement and a message to stop. The detected infringement status is stored in a database and the user is notified.

[0745] Specific examples

[0746] If the AI ​​detects that a user's photos have been posted on another blog without permission, the server will save the blog's URL and screenshots, send a warning email to the violator, and report the violation via email or in-system message based on the user's notification settings.

[0747] 4. Preserving evidence for litigation

[0748] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future litigation. The database properly categorizes and securely stores this evidence, making it accessible to users and legal personnel as needed.

[0749] Specific examples

[0750] The server stores screenshots of the infringing blogs, along with the access date and time and URL. In the event of a lawsuit, users and legal personnel can retrieve this evidence from the database and use it to take legal action.

[0751] 5. Introducing the Emotion Engine

[0752] The system incorporates an emotion engine that recognizes the user's emotions and adjusts the content of notifications and warnings according to the user's emotional state. The emotion engine analyzes the user's facial expressions and voice, and records the results in a database to maintain an emotion log.

[0753] Specific examples

[0754] When a user receives a breach notification, the emotion engine analyzes the user's emotional state and delivers the notification in an appropriate tone. For example, if the user is anxious or angry, the notification will be delivered in a gentle tone.

[0755] Prompt Sentence Examples

[0756] Below are some examples of specific prompts to input into the generative AI model.

[0757] Example prompt 1:

[0758] Please explain in detail the process a user goes through to upload a photo, including how the server receives the data and generates the metadata.

[0759] Example prompt 2:

[0760] Describe the process for crawling copyrighted material on the Internet and detecting unauthorized use. Explain how the server crawls content daily and compares it with data in the database.

[0761] Through the above process, the system of the present invention can efficiently protect copyrights and portrait rights while also providing flexible support that takes into account the feelings of users, allowing users to protect their copyrights and portrait rights without feeling stressed.

[0762] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0763] Step 1:

[0764] (Input) The user uses the terminal to select the copyrighted material or portrait they wish to upload.

[0765] (Action) The user opens a file selection dialog, selects the appropriate file, and clicks the "Upload" button.

[0766] (Output) The path and associated metadata of the selected files are generated.

[0767] The server receives the file sent by the user and stores it in a database, acquiring basic information such as the file format and size.

[0768] Step 2:

[0769] (Input) The file data and its associated metadata received by the server.

[0770] (Operation) The server assigns a unique identifier to the received file and generates metadata such as the copyright holder name and creation date.

[0771] (Output) Identifiers and metadata are generated and stored in a database.

[0772] Step 3:

[0773] (Input) The crawl agent startup schedule set on the server. For example, every day at 2 AM.

[0774] (Operation) The server automatically starts the crawl agent at the specified time.

[0775] (Output) The crawling agent begins the process of collecting data from websites, social media sites, blogs, etc. on the Internet.

[0776] Step 4:

[0777] (Input) Content on the Internet collected by crawling agents.

[0778] (Operation) The crawling agent sends the collected data to the server, which receives it and compares it with registered copyrighted works and portraits in its database.

[0779] (Output) Detailed information about the collected data (URL, capture date and time, etc.) is sent to the server, and the similarity calculation results are obtained. The server determines whether or not the data has been used without permission.

[0780] Step 5:

[0781] (Input) Detailed information about the infringing content detected as a result of the server's comparison.

[0782] (Operation) If the server detects any unauthorized use or infringement, it will record the URL and screenshots of the content, and automatically send a warning email to the violator.

[0783] (Output) Records of the URL and screenshots of the infringing content, as well as records of warning emails sent, are stored in a database.

[0784] Step 6:

[0785] (Input) Capture and metadata of the infringing content recorded by the server.

[0786] (Operation) The server stores this information securely in case of future litigation, making it accessible to users and legal personnel as needed.

[0787] (Output) Metadata such as capture, access date and time, URL, IP address etc. are securely stored in a database.

[0788] Step 7:

[0789] (Input) Data about the user's emotional state (e.g., facial expressions, vocal changes, etc.).

[0790] (Operation) The emotion engine analyzes the user's emotional state and generates notification and warning messages based on that. The emotion engine also generates an emotion log based on the data provided.

[0791] (Output) The notification content and warning messages customized by the emotion engine, as well as the analyzed emotion log, are saved in a database.

[0792] (Application example 2)

[0793] 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."

[0794] Conventional copyright and portrait protection systems do not take into account the user's emotional state when detecting unauthorized use or issuing warnings, which can cause excessive stress and anxiety to users. Furthermore, if infringing content is not detected or evidence is not stored efficiently, legal procedures can become difficult. Therefore, the present invention aims to recognize the user's emotional state and enable flexible responses accordingly, thereby reducing the user's mental burden and more efficiently protecting copyrights and portrait rights.

[0795] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0796] In this invention, the server includes a means for registering copyrighted works and portrait materials, a means for crawling information on the Internet to detect infringement of copyrights and portrait rights, a means for issuing a warning when an infringement is detected, a means for storing evidence of the infringement, a means for recognizing a user's emotions, and a means for adjusting the content of notifications and warnings according to the user's emotional state. This enables effective and flexible protection of copyrights and portrait rights while taking the user's emotional state into consideration.

[0797] A "work" is an original literary, scientific, artistic, musical, or other expression created by an author.

[0798] A "portrait" is a representation of a person's face or figure in a photograph, painting, sculpture, etc.

[0799] "Registration" is the act of recording and storing certain information or data in a system.

[0800] "Means" refers to a method, device, program, etc. used to achieve a specific purpose.

[0801] "Internet information" refers to any digital content that exists on any medium connected to the Internet, such as websites, social networking services, blogs, etc.

[0802] "Crawling" is the process of automatically collecting and analyzing information on the Internet using specific algorithms.

[0803] "Infringement" refers to the act of using another person's copyright or portrait rights without permission.

[0804] A "warning" is a notification to a third party engaging in problematic behavior, urging them to stop.

[0805] "Evidence preservation" is the act of securely storing evidence of infringing activity to support future legal proceedings.

[0806] "Emotion recognition" is the process of identifying a user's emotional state based on their facial expressions, voice, and other physiological data.

[0807] "Adjusting the content of notifications and warnings" refers to the act of appropriately changing the message and tone of notifications and warnings depending on the user's emotional state.

[0808] The system of the present invention comprises the following means for efficiently protecting copyrighted works and portraits: Details of each means and processing method will be described for an embodiment of the system.

[0809] Registration of copyrighted works and portraits

[0810] Users upload their copyrighted works and portraits (e.g., images, text, videos, etc.) to the system via their terminals. The server receives this data, generates a specific identifier, and stores it in a database. When registering, metadata such as the copyright holder's name and creation date are also generated and stored.

[0811] For example, when a user uploads a photo, they select the photo file from the file selection dialog on their device and click the "Upload" button. The server then receives the photo data, stores it in a database, and generates an identifier. Metadata such as copyright owner information and upload date and time are also stored.

[0812] Crawling for information on the Internet

[0813] The server launches a crawling AI agent at regular intervals to crawl information on websites, social networking services, blogs, etc. The crawled information is sent to the server and compared with registered copyrighted works and portraits to check for any unauthorized use.

[0814] For example, the server launches a crawling agent at 2 a.m. every day, analyzing images on the Internet and calculating their similarity with images in the database, allowing the system to automatically check whether a user's copyrighted work has been used without permission.

[0815] Violation detection and warning

[0816] If the server detects unauthorized use, it will record the URL and screenshots of the content in question as a means of issuing a specific warning. It will automatically send a warning email to the violator, including details of the infringement and a message urging them to stop. The detected violation status will be stored in a database, and users will be notified as necessary.

[0817] For example, if the system detects that a user's photo has been posted on another blog without permission, the server will save the blog's URL and screenshots, send a warning email to the violator, and report the violation via email or in-system message based on the user's notification settings.

[0818] Preserving evidence for litigation

[0819] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future legal proceedings. The database properly categorizes and securely stores this evidence, making it accessible to users and legal personnel as needed.

[0820] For example, the server stores screenshots of the infringing blogs, along with the access date and time, and URLs. In the event of a lawsuit, users and legal personnel can retrieve this evidence from the database and use it to take appropriate legal action.

[0821] Emotion recognition and notification content adjustment

[0822] The device's built-in emotion recognition engine analyzes the user's facial expressions and voice to determine their emotional state. Based on the recognized emotion, the server adjusts the content of notifications and warnings. For example, if the system detects that the user is feeling anxious or angry, it will notify them in a gentle tone. Conversely, if the system detects that the user is calm, it will notify them in a more direct tone.

[0823] For example, when a user receives a breach notification, the emotion engine analyzes the user's emotional state and notifies them with appropriate wording. The emotion engine also analyzes the user's facial expressions and voice changes and records them in a database. This allows us to keep a log of the user's emotions and use them for future analysis.

[0824] Hardware and software used

[0825] Hardware: The smartphone used by the user

[0826] Software: Python, OpenCV, PIL, sklearn, emotion_recognition library

[0827] Prompt Sentence Examples

[0828] "Design your application to detect and notify unauthorized use of copyrighted material in an ethical and effective manner, sensitive to user sentiment."

[0829] This allows users to feel secure about protecting their own content.

[0830] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0831] Step 1:

[0832] Users use their terminals to upload copyrighted works or portraits to the system. They select a file from the terminal's file selection dialog and click the "Upload" button. The server receives this data and stores the image data and metadata (copyright holder name, creation date) in a database. The input is the file path and metadata, and the output is the copyrighted work information stored in the database.

[0833] Step 2:

[0834] The server launches a crawling AI agent at regular intervals to crawl information on the Internet. The AI ​​agent collects information from multiple websites, social networking services, and blogs and sends it to the server. The input is a list of URLs to be crawled, and the output is the collected web content data.

[0835] Step 3:

[0836] The server compares the information it has collected through crawling with registered copyrighted works and portraits. It primarily uses cosine similarity to calculate the similarity of images and text. The input is the collected web content data and registered copyrighted work data, and the output is the similarity calculation result.

[0837] Step 4:

[0838] If the server detects unauthorized use, it records the URL and screenshots of the content. It also automatically sends a warning email to the violator, which includes details of the infringement and a message urging them to stop. The input is the similarity calculation result, and the output is the stored evidence data and the sent warning email.

[0839] Step 5:

[0840] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future legal proceedings. The database properly classifies and securely stores this evidence information. The input is the infringing content and its metadata, and the output is the evidence information stored in the database.

[0841] Step 6:

[0842] The user's device uses an emotion recognition engine to analyze the user's facial expressions and voice to determine their emotional state. The emotion recognition engine collects data from the user's facial expressions and voice and uses a machine learning model to identify emotions. The input is the user's facial expression data and voice data, and the output is the emotion recognition result.

[0843] Step 7:

[0844] The server adjusts the content of notifications and warnings based on the recognized user emotion. For example, if the user is recognized as feeling anxious or angry, it selects a gentle-toned notification. Conversely, if the user is recognized as calm, it selects a direct notification. The input is the emotion recognition result, and the output is the adjusted notification text.

[0845] This clarifies the specific operations and inputs / outputs at each processing step, enabling efficient and less burdensome copyright protection for users.

[0846] 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.

[0847] 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.

[0848] 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.

[0849] [Third embodiment]

[0850] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0851] 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.

[0852] 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).

[0853] 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.

[0854] 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.

[0855] 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).

[0856] 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.

[0857] 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.

[0858] 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.

[0859] 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.

[0860] 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.

[0861] 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."

[0862] The system of the present invention is designed to efficiently protect copyrighted works and portraits, and is implemented as follows: A user first registers a copyrighted work or portrait in the system. Once this registration process is complete, the system can crawl content on the Internet and automatically detect content that infringes the registered copyrighted work or portrait.

[0863] 1. Registration of copyrighted works and portraits

[0864] A user uploads copyrighted material or portraits (e.g., images, text, videos, etc.) to the system using a terminal. The server receives the uploaded data and stores it in a database. At this time, the server assigns an identifier to the copyrighted material or portrait and generates appropriate metadata (e.g., copyright holder name, creation date, etc.).

[0865] As a concrete example, consider the case where a user uploads their own photo. The user selects a photo file from the file selection dialog on their device and clicks the "Upload" button. The server then receives the photo data and stores it in the database. Metadata such as copyright holder information (user ID) and upload date and time are also generated and stored at the same time.

[0866] 2. Crawl research on the Internet

[0867] The server launches a crawling AI agent at regular intervals to crawl content on websites, social media, blogs, etc. The crawled content is sent to the server and compared with registered copyrighted works and portraits, allowing the system to detect unauthorized use and copying.

[0868] As a concrete example, consider a process where a server launches a crawling agent at 2 a.m. every day, analyzing images on the Internet and calculating their similarity with images in a database. This process allows the system to automatically check whether users' copyrighted work has been used without permission.

[0869] 3. Violation detection and warning

[0870] If an infringement is detected, the server records the URL and screenshots of the content. The server also automatically sends a warning email to the violator, which includes details of the infringement and a message urging them to stop. The detected infringement status is also stored in a database and users are notified.

[0871] As a concrete example, consider a case where AI discovers that a user's photo has been posted on a blog without permission. The server saves the blog's URL and screenshots, and sends a warning email to the violator. The server also reports this violation to the user via email or an in-system message based on the user's notification settings.

[0872] 4. Preservation of evidence

[0873] The server stores captures of infringing content and metadata (e.g., date, time, URL, IP address, etc.) for future litigation. The database is designed to properly classify and securely store evidence, which can be accessed by users and legal personnel as needed.

[0874] For example, a server might store screenshots of infringing blogs, along with their access dates and times and URLs. In the event of a lawsuit, users or legal personnel can retrieve this evidence from the database and use it to take appropriate legal action.

[0875] The above is a specific embodiment of the system of the present invention, which allows users to protect their copyrights and portrait rights without much effort. Furthermore, automated crawling and infringement detection allows for early detection of infringement, enabling prompt action. Furthermore, proper storage of evidence facilitates future legal action.

[0876] The processing flow will be explained below.

[0877] 1. Registration of copyrighted works and portraits

[0878] Step 1:

[0879] The user uses the device to select the copyrighted or portrait material, specifically by opening the device's file selection dialog and selecting the image, document, or video file they want to upload.

[0880] Step 2:

[0881] The user clicks the "Upload" button, which sends the selected file to the server.

[0882] Step 3:

[0883] The server receives the uploaded data, specifically, extracts the file data included in the HTTP request body.

[0884] Step 4:

[0885] The server stores data on copyrighted works and portraits in a database, generating an identifier and storing it along with metadata such as copyright holder information.

[0886] Step 5:

[0887] The server returns a success message to the user, so that the user can confirm that the file was successfully uploaded.

[0888] 2. Crawl research on the Internet

[0889] Step 1:

[0890] The server launches the crawling AI agent at regular intervals, for example, at 2:00 AM every day as a scheduled task.

[0891] Step 2:

[0892] The AI ​​agent crawls websites, social media sites, blogs, etc. on the Internet and collects content, which is then sent to a server.

[0893] Step 3:

[0894] The server analyzes the collected content and applies image comparison and text analysis algorithms to compare it with registered copyrighted works and portraits.

[0895] 3. Violation detection and warning

[0896] Step 1:

[0897] If the server detects any infringing content, it will record the URL and screenshots of the page. Specifically, it will store the URL of the infringing page in a database and capture and save screenshots.

[0898] Step 2:

[0899] The server will automatically send a warning email to violators, which will include details of the violation and a urging them to stop.

[0900] Step 3:

[0901] The server notifies the user of the violation status by sending an email or an in-system message based on the user's notification settings. This notification includes detailed information about the violation.

[0902] 4. Preserving evidence for litigation

[0903] Step 1:

[0904] The server stores details of the violation (e.g. URL, date and time, screenshots, IP address, etc.) in a database, ensuring evidence for future legal action.

[0905] Step 2:

[0906] The database properly classifies and safely stores evidence information, and access rights are set to prevent unauthorized access.

[0907] Step 3:

[0908] Allow users and legal personnel to access evidential information. Authenticate users and allow authenticated users to retrieve evidential information.

[0909] This specific processing step enables efficient protection of copyrighted works and portraits. Users can easily register copyrighted works and portraits, and the server automatically detects infringements on the Internet and takes prompt action. Furthermore, the storage of evidence facilitates legal action.

[0910] Example 1

[0911] 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."

[0912] In today's world, there are many cases of copyrighted works and portraits being used without permission on the Internet. Traditional manual monitoring and response to infringements of copyright and portrait rights is extremely labor-intensive, and a rapid response is required. It is also important to properly store evidence of infringement and take legal action, but this is also difficult to manage manually.

[0913] 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.

[0914] In this invention, the server includes a means for registering copyrighted works and portrait materials, a means for collecting information on the Internet to detect infringement of copyrights and portrait rights, a means for issuing a warning when an infringement is detected, a means for storing evidence of the infringement, a means for receiving data uploaded by users and storing it in a database, a means for calculating and comparing the similarity of the collected information, a means for automatically sending warning emails, and a means for notifying users. This enables efficient protection of copyrighted works and portrait materials, early detection of infringement, prompt warnings, and appropriate storage of evidence.

[0915] A "work" is a creative work such as text, images, or video, and is protected by copyright.

[0916] A "portrait" is a media such as a photograph or video that depicts a person's face or figure, and is subject to protection by portrait rights.

[0917] "Information on the Internet" refers to digital content accessible via the Internet, such as web pages, social networking services, and blogs.

[0918] A "server" is a computer system that receives, processes, and stores data over a network.

[0919] A "database" is a system that organizes and stores data and allows for efficient searching and management.

[0920] "Collection" refers to the act of acquiring information for a specific purpose, and in this invention particularly refers to the acquisition of digital content on the Internet.

[0921] A "warning" is a notification that warns of illegal activity or misuse and urges you to stop it.

[0922] "Evidence" is information or data that can be used as legal evidence to prove an infringing act.

[0923] "Calculating and comparing similarities" refers to the process of using an algorithm to compare collected digital content with registered copyrighted works and portraits and evaluate the degree of similarity.

[0924] "Metadata" is additional information that includes information about the data, and in this invention refers to the name of the copyright holder, the creation date, and the like.

[0925] "User" means a user of the System who uploads copyrighted material and / or portraits and uses the System to protect their rights.

[0926] The present invention relates to a system for efficiently protecting copyrighted works and portraits, and is implemented in the following manner: A user first registers a copyrighted work or portrait in the system. Once this registration process is complete, the system has the ability to collect information on the Internet and automatically detect content that infringes the registered copyrighted work or portrait.

[0927] Specifically, this system protects copyright and portrait rights using the following steps:

[0928] A user uses a terminal to upload copyrighted material or portraits (e.g., images, text, videos, etc.) to the system. The server receives the data from the user and stores it in a database. During this process, the server assigns an identifier to the copyrighted material or portrait, and automatically generates and stores metadata such as the name of the copyright holder and the date of creation.

[0929] As a concrete example, consider the case where a user uploads their own photo. The user selects a photo file from the file selection dialog on the device and clicks the "Upload" button. The server then receives the photo data "my_photo.jpg" and saves it in the database with the identifier "image123." It also generates and saves the copyright holder information "userID123" and the upload date and time "2023-10-02" as metadata.

[0930] Next, the server launches a crawling AI agent based on a set schedule (for example, every day at 2:00 AM). The crawling AI agent collects content from web pages, social networking services, blogs, etc. on the Internet. The collected content is sent to the server, which analyzes it and compares it with registered copyrighted works and portraits in the database to calculate similarities.

[0931] For example, the server could launch an AI agent at 2 a.m. to collect images from the internet and compare them with "my_photo.jpg" in the database. Based on the results of this comparison, it could determine whether registered copyrighted material has been used without permission.

[0932] If a violation is detected, the server will record the URL and screenshots of the content. Additionally, the server will automatically send a warning email to the violator, which will include details of the violation and a request to stop. Users will be notified of the violation via email and in-system messages.

[0933] For example, if the AI ​​discovers that a user's photo has been posted on a blog without permission, the server will save the blog's URL (http: / / example.com / blog123) and a screenshot, then automatically send a warning email to the violator and notify the user via email.

[0934] The server stores captures of infringing content and metadata (e.g., date, time, URL, IP address, etc.) for future litigation. The database is designed to properly classify and securely store evidence, which users and legal personnel can access as needed.

[0935] For example, the server stores screenshots of the infringing blog, the access date and time (2023-10-02 03:00), and the URL (http: / / example.com / blog123). In the event of a lawsuit, users or legal personnel can retrieve this evidence from the database and use it in legal action.

[0936] The above is a specific embodiment of the system of the present invention, which allows users to efficiently protect their copyrights and portrait rights. Furthermore, automated crawling and infringement detection enable rapid response, and proper storage of evidence facilitates future legal action.

[0937] Example prompt sentence:

[0938] By inputting the following prompt sentence into the generative AI model, a description of the above system can be generated.

[0939] This system is designed to protect copyrighted works and portraits. The process begins with a user uploading copyrighted works or portraits (e.g., images, text, videos, etc.) using a terminal, and the server receives the uploaded data and stores it in a database. The server then crawls content on the Internet and automatically detects content that infringes registered copyrighted works or portraits. This allows it to detect unauthorized use or copying, send warning emails to violators, and preserve evidence.

[0940] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0941] Step 1:

[0942] The user uploads a copyrighted work or portrait. The user accesses the system's upload page through the browser on their device and uses the "Select File" button to select the copyrighted work or portrait to upload. The input is the file selected by the user, and the output is the file data sent to the server.

[0943] Specific behavior:

[0944] The user selects a photo called "my_photo.jpg" from the file selection dialog on the device and clicks the "Upload" button. The device then sends this file to the server.

[0945] Step 2:

[0946] The server stores the received file. The server receives the file sent by the user, verifies its contents, and stores it in a database. During this process, the server assigns an identifier to the file and generates metadata (e.g., copyright holder name, creation date, etc.). The input is the file data sent from the device, and the output is the file and associated metadata stored in the database.

[0947] Specific behavior:

[0948] The server receives "my_photo.jpg", assigns it the identifier "image123", and stores it in the database. It also generates and stores the copyright holder information "userID123" and the upload date and time "2023-10-02" as metadata.

[0949] Step 3:

[0950] The server launches the crawling AI agent. The server launches the AI ​​agent at the set time (e.g., 2:00 AM every day) according to the crawling schedule. The input is the schedule data, and the output is the launched AI agent.

[0951] Specific behavior:

[0952] The server launches a crawling agent at 2 a.m. This agent collects content from web pages, social networking services, blogs, and other sources on the Internet.

[0953] Step 4:

[0954] The server analyzes the collected content. The content collected by the AI ​​agent is sent to the server, which analyzes it, compares it with registered copyrighted works and portraits in the database, and calculates the similarity. The input is the collected content data, and the output is the similarity calculation result.

[0955] Specific behavior:

[0956] The server compares the collected images with "my_photo.jpg" in the database and calculates the similarity of the images.

[0957] Step 5:

[0958] The server detects infringement. Based on the similarity calculation result, the server detects unauthorized use of copyrighted material or portraits. The input is the similarity calculation result, and the output is the infringement detection result.

[0959] Specific behavior:

[0960] If the calculated similarity exceeds a certain threshold, the server determines that the image has been used without permission.

[0961] Step 6:

[0962] The server records the URLs and screenshots of infringing content. If an infringement is detected, the server records the URLs and screenshots of the content. The input is the infringement detection result, and the output is the recorded URLs and screenshots.

[0963] Specific behavior:

[0964] The server saves the URL of the violating blog, "http: / / example.com / blog123," along with a screenshot of it.

[0965] Step 7:

[0966] The server sends a warning email. If an infringement is detected, the server automatically sends a warning email to the violator. The input is the infringement detection result and the violator's contact information, and the output is the sent warning email.

[0967] Specific behavior:

[0968] The server automatically sends a warning email to violators stating that "content at the specified URL is being used without permission and should be deleted immediately."

[0969] Step 8:

[0970] The server notifies the user. Based on the user's notification settings, the server reports the breach status by sending email or an internal message. The input is the breach detection result and the user's notification settings, and the output is the sent notification.

[0971] Specific behavior:

[0972] The server sends the user an email stating, "Your copyrighted work has been used without permission. Please check the URL below."

[0973] Step 9:

[0974] The server stores evidence. The server stores captures and metadata of infringing content for future litigation. The input is the infringing content information, and the output is the stored evidence data.

[0975] Specific behavior:

[0976] The server will save a screenshot of the violating blog, its access date and time (2023-10-02 03:00), and the URL (http: / / example.com / blog123).

[0977] The above are the specific processing steps of this system, which allows users to efficiently protect their copyrights and portrait rights, and achieves quick response and appropriate storage of evidence.

[0978] (Application example 1)

[0979] 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."

[0980] Infringement of copyrights and portrait rights on the Internet is on the rise, and conventional manual monitoring and response methods tend to be slow. Furthermore, evidence is sometimes not collected or stored properly, resulting in the time and effort required for legal action. The present invention aims to solve these problems and provide a fast and efficient method for protecting copyrighted works and portraits.

[0981] 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.

[0982] In this invention, the server includes means for registering copyrighted works and portrait materials, means for crawling content on the Internet to detect infringement of copyrights and portrait rights, means for issuing a warning when an infringement is detected, means for storing evidence of the infringement, means for uploading copyrighted works and portrait materials using a smart device, means for using image recognition technology to detect infringement, means for activating the crawl agent at specified time intervals, and means for automatically sending a warning email, thereby enabling infringement of copyrights and portrait rights on the Internet to be quickly detected and automatically addressed.

[0983] "Work" refers to any work of creative expression or product of knowledge that is protected by copyright law.

[0984] "Portraits" refer to photographs, paintings, etc. that depict an individual's figure or face, and are objects protected by portrait rights.

[0985] "Crawling" refers to the process of automatically visiting web pages on the Internet and gathering information.

[0986] A "warning" refers to the act of notifying someone who is infringing copyright or portrait rights to stop the infringing behavior.

[0987] "Evidence" refers to specific data or records that show infringement of copyright or portrait rights, and serves as the basis for legal action.

[0988] "Smart device" refers to a high-technology device that has internet connectivity and is capable of running applications.

[0989] "Image recognition technology" refers to technology that uses computer vision and deep learning technologies to automatically recognize and classify the content of images.

[0990] A "crawl agent" refers to a program that automatically crawls web pages on the Internet and collects content.

[0991] A "warning email" refers to an email sent when a copyright or portrait right infringement is detected, urging the infringer to stop the infringing behavior.

[0992] "Content distribution platform" refers to an online medium that allows users to widely publish and share content they create.

[0993] The present invention provides a system for efficiently detecting and quickly dealing with infringement of copyrights and portrait rights on the Internet. Specific embodiments for carrying out the present invention will be described below.

[0994] System configuration

[0995] The system of the present invention comprises the following main components:

[0996] 1. How to register copyrighted works and portraits

[0997] 2. A method for crawling content on the Internet to detect copyright and portrait rights infringement

[0998] 3. Means of issuing warnings when infringement is detected

[0999] 4. Means of preserving evidence of infringement

[1000] 5. Uploading copyrighted material or portraits using a smart device

[1001] 6. Using image recognition technology to detect infringement

[1002] 7. How to launch the crawl agent at specified intervals

[1003] 8. Automatically sending warning emails

[1004] Specific hardware and software

[1005] Hardware:

[1006] Smartphone: A modern smartphone, which users use to take and upload copyrighted material and portraits.

[1007] Smart Glasses: Smart glasses with advanced camera capabilities, allowing users to easily capture images and send them to the system.

[1008] software:

[1009] Firebase Authentication: Used to manage user registration and authentication.

[1010] Google Cloud Storage: Used to store uploaded image and video data.

[1011] TensorFlow: Used for image recognition and similarity detection.

[1012] BeautifulSoup: Used to crawl content on the internet.

[1013] SendGrid: Used to send alert emails.

[1014] Processing Description

[1015] 1. User Registration and Login

[1016] Users create an account and log in using Firebase Authentication using their smartphone or smart glasses.

[1017] 2. Registration of copyrighted works and portraits

[1018] Users use their smart devices to take or select copyrighted material or portraits and upload them to Google Cloud Storage, at which point the server generates metadata (such as copyright owner information) and stores it in Firestore.

[1019] 3. Internet Crawl

[1020] A crawling agent using BeautifulSoup runs at specified intervals, crawling through content on websites, social media, blogs, and other sites on the Internet and collecting image data.

[1021] 4. Breach Detection

[1022] Using TensorFlow, the crawling agent compares the images collected with copyrighted works and portraits registered in the system to calculate similarities, a process that automatically identifies infringing content.

[1023] 5. Warnings and Notifications

[1024] If a breach is detected, an automatic email warning will be sent using SendGrid, and users will be notified via in-system notifications and email.

[1025] 6. Preservation of evidence

[1026] The server stores evidence of the infringing content, such as screenshots, URLs, and metadata, in Google Firestore, which can be used to protect against future legal action.

[1027] Specific examples

[1028] For example, consider a scenario in which a user uploads a photo they took to the system and later detects that the photo has been used without permission on the Internet. In this case, the server will automatically identify the infringing content, send a warning email, and store screenshots and related data of the infringing content as evidence and report it to the user.

[1029] You can also use a generative AI model to prompt like this:

[1030] "This program detects whether images uploaded by users are being used without permission and automatically sends warning emails. I would like to know the following information:

[1031] 1. What is the best way to crawl images on the internet?

[1032] 2. How can I improve the accuracy of image similarity detection using TensorFlow?

[1033] Thus, the present invention provides a system for quickly and efficiently detecting and responding to copyright and portrait right infringements on the Internet.

[1034] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1035] Step 1:

[1036] The user uses a smart device to take a photograph of a copyrighted work or portrait, or select it from existing files, and upload it.

[1037] Input: Image or video files selected or captured by the user.

[1038] Data processing: The device takes the selected file and converts it into the appropriate format.

[1039] Output: Format converted image and video files.

[1040] Specific operation: The user takes a photo with the camera on their smart device and presses the upload button in the app to send the data to the server.

[1041] Step 2:

[1042] The server stores the received copyrighted material and portraits in Google Cloud Storage, generates metadata, and records it in Firestore.

[1043] Input: Image and video files sent from smart devices.

[1044] Data calculation: The server generates an identifier for the file and creates metadata including the upload date and time and copyright owner information.

[1045] Output: Files stored in Google Cloud Storage and metadata recorded in Firestore.

[1046] Specific operation: The server uploads the image file to Google Cloud Storage and writes information such as its URL, upload date and time, and user ID to Firestore.

[1047] Step 3:

[1048] The server starts a crawling agent at a specified time interval to collect content on the Internet.

[1049] Input: Crawl agent launch trigger (time interval).

[1050] Data processing: Crawl agents collect image data from sources such as websites, social media, and blogs.

[1051] Output: Collected image data.

[1052] Specific operation: The crawling agent starts, for example, at 2:00 AM, and visits each website based on the specified URL list and downloads image data.

[1053] Step 4:

[1054] The server uses TensorFlow to evaluate the similarity between the collected image data and registered copyrighted works and portraits.

[1055] Input: Collected image data and registered copyright data.

[1056] Data calculation: Using a TensorFlow model, features of each image are extracted and similarity comparisons are performed.

[1057] Output: A list of similarity ratings.

[1058] Specific operation: The server inputs the collected images into the TensorFlow model, calculates the similarity score, and generates matching results with the registered images.

[1059] Step 5:

[1060] If the server detects an infringement based on similarity assessment, a warning email will be automatically sent using SendGrid.

[1061] Input: The result of the similarity assessment.

[1062] Data manipulation: Extract data about infringing content and insert it into email templates.

[1063] Output: Send a warning email to the infringer.

[1064] Specific operation: The server retrieves the image information that is determined to be in violation and sends a warning email to the specified email address via SendGrid.

[1065] Step 6:

[1066] The server stores evidence of the breach and notifies the user.

[1067] Input: Similarity rating and URL and screenshot of the infringing content.

[1068] Data Computing: Store infringing content information in Firestore and generate email or in-app notifications.

[1069] Output: Evidence data stored in Firestore and a notification to the user.

[1070] What happens: The server saves screenshots of the infringing content, the URL, and the date and time of the infringing content in Firestore, and sends a notification email or in-app message to the user.

[1071] These steps enable the system of the present invention to quickly and efficiently detect and respond to copyright and publicity rights infringement on the Internet.

[1072] 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.

[1073] The system of the present invention is designed to efficiently protect copyrighted works and portraits, and is combined with an emotion engine that recognizes user emotions and adjusts actions accordingly. Specific embodiments of the system are described below.

[1074] 1. Registration of copyrighted works and portraits

[1075] Users use their devices to upload copyrighted works and images (e.g., images, text, videos, etc.) to the system. The server receives this data and stores it in a database. During the registration process, the server assigns an identifier to each copyrighted work or image and generates metadata (e.g., copyright holder name, creation date, etc.).

[1076] For example, when a user wants to upload their own photo, they select the photo file from the file selection dialog on their device and click the "Upload" button. The server then receives the photo data and stores it in the database. Metadata such as copyright holder information and upload date and time are also stored.

[1077] 2. Crawl research on the Internet

[1078] The server launches a crawling AI agent at regular intervals to crawl content on the Internet, such as websites, social media, blogs, etc. The crawled content is sent to the server and compared with registered copyrighted works and portraits to check for unauthorized use or copying.

[1079] For example, the server launches a crawling agent at 2 a.m. every day, analyzing images on the Internet and calculating their similarity with images in the database. This allows the system to automatically check whether users' copyrighted work has been used without permission.

[1080] 3. Violation detection and warning

[1081] If an infringement is detected, the server records the URL and screenshots of the content. Additionally, the server automatically sends a warning email to the violator, including details of the infringement and a message urging them to stop. The detected infringement status is stored in a database and the user is notified.

[1082] For example, if the AI ​​discovers that a user's photo has been posted on another blog without permission, the server will save the blog's URL and screenshots, send a warning email to the violator, and report the violation via email or in-system message based on the user's notification settings.

[1083] 4. Preserving evidence for litigation

[1084] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future litigation. The database properly categorizes and securely stores the evidence, which can be accessed by users and legal personnel as needed.

[1085] For example, the server stores screenshots of the infringing blogs, along with the access date and time, and URLs. In the event of a lawsuit, users and legal personnel can retrieve this evidence from the database and use it to take appropriate legal action.

[1086] 5. Introducing the Emotion Engine

[1087] The system is equipped with an emotion engine that recognizes the user's emotions, allowing it to tailor notifications and warnings to suit the user's emotional state. For example, if the emotion engine detects that the user is anxious or angry, the system will respond by providing gentler notifications and warnings. Conversely, if the system detects that the user is calm, it will provide more direct notifications.

[1088] For example, when a user receives a notice of infringement, the emotion engine analyzes the user's emotional state and sends the notice in an appropriate format. The emotion engine also analyzes the user's facial expressions and voice changes and records them in a database. This allows the user's emotional log to be kept and used for future analysis.

[1089] These processes enable the system of the present invention to efficiently protect copyrighted works and portraits, while also enabling flexible responses that take into account the feelings of users, allowing users to protect their copyrights and portrait rights without feeling stressed.

[1090] The processing flow will be explained below.

[1091] 1. Registration of copyrighted works and portraits

[1092] Step 1:

[1093] The user uses the device to select the copyrighted or portrait material, specifically by opening the device's file selection dialog and selecting the image, document, or video file they want to upload.

[1094] Step 2:

[1095] The user clicks the "Upload" button, which sends the selected file to the server.

[1096] Step 3:

[1097] The server receives the uploaded data, specifically, extracts the file data included in the HTTP request body.

[1098] Step 4:

[1099] The server stores data on copyrighted works and portraits in a database, generating an identifier and storing it along with metadata such as copyright holder information.

[1100] Step 5:

[1101] The server returns a success message to the user, so that the user can confirm that the file was successfully uploaded.

[1102] 2. Crawl research on the Internet

[1103] Step 1:

[1104] The server launches the crawling AI agent at regular intervals, for example, at 2:00 AM every day as a scheduled task.

[1105] Step 2:

[1106] The AI ​​agent crawls websites, social media sites, blogs, etc. on the Internet and collects content, which is then sent to a server.

[1107] Step 3:

[1108] The server analyzes the collected content and applies image comparison and text analysis algorithms to compare it with registered copyrighted works and portraits.

[1109] 3. Violation detection and warning

[1110] Step 1:

[1111] If the server detects any infringing content, it will record the URL and screenshots of the page. Specifically, it will store the URL of the infringing page in a database and capture and save screenshots.

[1112] Step 2:

[1113] The server will automatically send a warning email to violators, which will include details of the violation and a urging them to stop.

[1114] Step 3:

[1115] The server notifies the user of the violation status by sending an email or an in-system message based on the user's notification settings. This notification includes detailed information about the violation.

[1116] 4. Preserving evidence for litigation

[1117] Step 1:

[1118] The server stores details of the violation (e.g. URL, date and time, screenshots, IP address, etc.) in a database, ensuring evidence for future legal action.

[1119] Step 2:

[1120] The database properly classifies and safely stores evidence information, and access rights are set to prevent unauthorized access.

[1121] Step 3:

[1122] Allow users and legal personnel to access evidential information. Authenticate users and allow authenticated users to retrieve evidential information.

[1123] 5. Introducing the Emotion Engine

[1124] Step 1:

[1125] When a user uses a device to check a breach notification, the system recognizes the user's emotional state by analyzing the user's facial expressions and voice.

[1126] Step 2:

[1127] The emotion engine analyzes the user's emotional state and identifies states such as optimistic, calm, anxious, angry, etc. The analysis results are sent to the server.

[1128] Step 3:

[1129] The server adjusts the notification content and warning message based on the analysis results of the emotion engine. For example, if the user is feeling anxious, the notification will be delivered in a gentle tone.

[1130] Step 4:

[1131] The server sends the adjusted notification content to the user, who receives the notification on their device and checks the content according to their emotions.

[1132] Step 5:

[1133] The server logs the user's emotional state and stores it for future analysis, allowing us to maintain a history of the user's emotions and use it to further improve our response.

[1134] The above processing steps not only realize efficient protection of copyrighted works and portrait rights, but also allow for flexible responses that take into account the feelings of users, allowing users to carry out the process of protecting their copyrights and portrait rights without feeling stressed.

[1135] Example 2

[1136] 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."

[1137] As the number of illegal copyrighted works and unauthorized use of portrait images on the Internet increases, there is a need to quickly and efficiently detect and respond to such cases. In particular, when it comes to protecting copyrights and portrait rights, it is important to preserve evidence and take legal action when infringement occurs. However, these processes are currently often performed manually, placing a heavy burden on users. Furthermore, there is a lack of mechanisms for providing appropriate notifications and warnings that take user feelings into consideration, which can cause users to feel stressed.

[1138] 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 a means for registering copyrighted works and portrait materials, a means for crawling content on the Internet to detect infringement of copyright or portrait rights, a means for issuing a warning when an infringement is detected, a means for saving the detected infringement and storing evidence in preparation for litigation, and a means including an emotion engine that recognizes user emotions and adjusts notifications and warning messages. This makes it possible to efficiently protect copyrights and portrait rights and to flexibly respond in consideration of user emotions.

[1139] A "work" is any form of expression resulting from human creative activity, such as literature, music, art, photography, or film, for which copyright is granted to its author.

[1140] A "portrait" is any image, video, photograph, or other form of expression that depicts the face or figure of an individual, to which the individual has portrait rights.

[1141] A "server" is a computer system that provides data and services to clients over a network.

[1142] A "terminal" is an electronic device such as a computer or smartphone that is operated by a user and used to exchange data with a server.

[1143] "Crawling" is a technique that automatically crawls websites and web pages on the Internet and collects information.

[1144] A "warning" is a notice that requests an action to be stopped when unauthorized use or infringement of copyrighted material or likeness is discovered.

[1145] "Evidence preservation" refers to the secure storage of breach details and related data for use in future legal proceedings.

[1146] The "emotion engine" is a system that analyzes the user's emotional state and adjusts notification content and warning messages based on this.

[1147] "Identifier" means a number or code assigned to a copyrighted work or portrait to uniquely identify it.

[1148] The system of the present invention combines an emotion engine that recognizes user emotions and adjusts actions to effectively protect copyrighted works and portraits. A specific embodiment of this system is described below.

[1149] 1. Registration of copyrighted works and portraits

[1150] Users use their devices to upload copyrighted works and portraits, such as images, text, and videos, to the system. The user selects the file they want to upload from the file selection dialog on their device and clicks the "Upload" button. The server then receives the uploaded data and stores it in a database. The server then assigns an identifier to each copyrighted work or portrait and generates metadata (such as the name of the copyright holder and the date of creation).

[1151] Specific examples

[1152] When a user uploads a family photo, they select the photo file from the file selection dialog and click the "Upload" button. The server then receives the photo data and stores it in the database. Metadata such as copyright owner information and upload date and time are also recorded.

[1153] 2. Crawl research on the Internet

[1154] The server launches a crawling AI agent at regular intervals. The crawling agent collects data from websites, social media sites, blogs, etc. on the Internet. The collected data is sent to the server and compared with registered copyrighted works and portraits in a database to check for unauthorized use or copying.

[1155] Specific examples

[1156] Every day at 2 a.m., the server launches a crawling agent that analyzes images on the internet and compares them with images in the database. If there is a match, the system determines that the images may have been used without permission.

[1157] 3. Violation detection and warning

[1158] If an infringement is detected, the server records the URL and screenshots of the content. Additionally, the server automatically sends a warning email to the violator, including details of the infringement and a message to stop. The detected infringement status is stored in a database and the user is notified.

[1159] Specific examples

[1160] If the AI ​​detects that a user's photos have been posted on another blog without permission, the server will save the blog's URL and screenshots, send a warning email to the violator, and report the violation via email or in-system message based on the user's notification settings.

[1161] 4. Preserving evidence for litigation

[1162] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future litigation. The database properly categorizes and securely stores this evidence, making it accessible to users and legal personnel as needed.

[1163] Specific examples

[1164] The server stores screenshots of the infringing blogs, along with the access date and time and URL. In the event of a lawsuit, users and legal personnel can retrieve this evidence from the database and use it to take legal action.

[1165] 5. Introducing the Emotion Engine

[1166] The system incorporates an emotion engine that recognizes the user's emotions and adjusts the content of notifications and warnings according to the user's emotional state. The emotion engine analyzes the user's facial expressions and voice, and records the results in a database to maintain an emotion log.

[1167] Specific examples

[1168] When a user receives a breach notification, the emotion engine analyzes the user's emotional state and delivers the notification in an appropriate tone. For example, if the user is anxious or angry, the notification will be delivered in a gentle tone.

[1169] Prompt Sentence Examples

[1170] Below are some examples of specific prompts to input into the generative AI model.

[1171] Example prompt 1:

[1172] Please explain in detail the process a user goes through to upload a photo, including how the server receives the data and generates the metadata.

[1173] Example prompt 2:

[1174] Describe the process for crawling copyrighted material on the Internet and detecting unauthorized use. Explain how the server crawls content daily and compares it with data in the database.

[1175] Through the above process, the system of the present invention can efficiently protect copyrights and portrait rights while also providing flexible support that takes into account the feelings of users, allowing users to protect their copyrights and portrait rights without feeling stressed.

[1176] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1177] Step 1:

[1178] (Input) The user uses the terminal to select the copyrighted material or portrait they wish to upload.

[1179] (Action) The user opens a file selection dialog, selects the appropriate file, and clicks the "Upload" button.

[1180] (Output) The path and associated metadata of the selected files are generated.

[1181] The server receives the file sent by the user and stores it in a database, acquiring basic information such as the file format and size.

[1182] Step 2:

[1183] (Input) The file data and its associated metadata received by the server.

[1184] (Operation) The server assigns a unique identifier to the received file and generates metadata such as the copyright holder name and creation date.

[1185] (Output) Identifiers and metadata are generated and stored in a database.

[1186] Step 3:

[1187] (Input) The crawl agent startup schedule set on the server. For example, every day at 2 AM.

[1188] (Operation) The server automatically starts the crawl agent at the specified time.

[1189] (Output) The crawling agent begins the process of collecting data from websites, social media sites, blogs, etc. on the Internet.

[1190] Step 4:

[1191] (Input) Content on the Internet collected by crawling agents.

[1192] (Operation) The crawling agent sends the collected data to the server, which receives it and compares it with registered copyrighted works and portraits in its database.

[1193] (Output) Detailed information about the collected data (URL, capture date and time, etc.) is sent to the server, and the similarity calculation results are obtained. The server determines whether or not the data has been used without permission.

[1194] Step 5:

[1195] (Input) Detailed information about the infringing content detected as a result of the server's comparison.

[1196] (Operation) If the server detects any unauthorized use or infringement, it will record the URL and screenshots of the content, and automatically send a warning email to the violator.

[1197] (Output) Records of the URL and screenshots of the infringing content, as well as records of warning emails sent, are stored in a database.

[1198] Step 6:

[1199] (Input) Capture and metadata of the infringing content recorded by the server.

[1200] (Operation) The server stores this information securely in case of future litigation, making it accessible to users and legal personnel as needed.

[1201] (Output) Metadata such as capture, access date and time, URL, IP address etc. are securely stored in a database.

[1202] Step 7:

[1203] (Input) Data about the user's emotional state (e.g., facial expressions, vocal changes, etc.).

[1204] (Operation) The emotion engine analyzes the user's emotional state and generates notification and warning messages based on that. The emotion engine also generates an emotion log based on the data provided.

[1205] (Output) The notification content and warning messages customized by the emotion engine, as well as the analyzed emotion log, are saved in a database.

[1206] (Application example 2)

[1207] 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."

[1208] Conventional copyright and portrait protection systems do not take into account the user's emotional state when detecting unauthorized use or issuing warnings, which can cause excessive stress and anxiety to users. Furthermore, if infringing content is not detected or evidence is not stored efficiently, legal procedures can become difficult. Therefore, the present invention aims to recognize the user's emotional state and enable flexible responses accordingly, thereby reducing the user's mental burden and more efficiently protecting copyrights and portrait rights.

[1209] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1210] In this invention, the server includes a means for registering copyrighted works and portrait materials, a means for crawling information on the Internet to detect infringement of copyrights and portrait rights, a means for issuing a warning when an infringement is detected, a means for storing evidence of the infringement, a means for recognizing a user's emotions, and a means for adjusting the content of notifications and warnings according to the user's emotional state. This enables effective and flexible protection of copyrights and portrait rights while taking the user's emotional state into consideration.

[1211] A "work" is an original literary, scientific, artistic, musical, or other expression created by an author.

[1212] A "portrait" is a representation of a person's face or figure in a photograph, painting, sculpture, etc.

[1213] "Registration" is the act of recording and storing certain information or data in a system.

[1214] "Means" refers to a method, device, program, etc. used to achieve a specific purpose.

[1215] "Internet information" refers to any digital content that exists on any medium connected to the Internet, such as websites, social networking services, blogs, etc.

[1216] "Crawling" is the process of automatically collecting and analyzing information on the Internet using specific algorithms.

[1217] "Infringement" refers to the act of using another person's copyright or portrait rights without permission.

[1218] A "warning" is a notification to a third party engaging in problematic behavior, urging them to stop.

[1219] "Evidence preservation" is the act of securely storing evidence of infringing activity to support future legal proceedings.

[1220] "Emotion recognition" is the process of identifying a user's emotional state based on their facial expressions, voice, and other physiological data.

[1221] "Adjusting the content of notifications and warnings" refers to the act of appropriately changing the message and tone of notifications and warnings depending on the user's emotional state.

[1222] The system of the present invention comprises the following means for efficiently protecting copyrighted works and portraits: Details of each means and processing method will be described for an embodiment of the system.

[1223] Registration of copyrighted works and portraits

[1224] Users upload their copyrighted works and portraits (e.g., images, text, videos, etc.) to the system via their terminals. The server receives this data, generates a specific identifier, and stores it in a database. When registering, metadata such as the copyright holder's name and creation date are also generated and stored.

[1225] For example, when a user uploads a photo, they select the photo file from the file selection dialog on their device and click the "Upload" button. The server then receives the photo data, stores it in a database, and generates an identifier. Metadata such as copyright owner information and upload date and time are also stored.

[1226] Crawling for information on the Internet

[1227] The server launches a crawling AI agent at regular intervals to crawl information on websites, social networking services, blogs, etc. The crawled information is sent to the server and compared with registered copyrighted works and portraits to check for any unauthorized use.

[1228] For example, the server launches a crawling agent at 2 a.m. every day, analyzing images on the Internet and calculating their similarity with images in the database, allowing the system to automatically check whether a user's copyrighted work has been used without permission.

[1229] Violation detection and warning

[1230] If the server detects unauthorized use, it will record the URL and screenshots of the content in question as a means of issuing a specific warning. It will automatically send a warning email to the violator, including details of the infringement and a message urging them to stop. The detected violation status will be stored in a database, and users will be notified as necessary.

[1231] For example, if the system detects that a user's photo has been posted on another blog without permission, the server will save the blog's URL and screenshots, send a warning email to the violator, and report the violation via email or in-system message based on the user's notification settings.

[1232] Preserving evidence for litigation

[1233] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future legal proceedings. The database properly categorizes and securely stores this evidence, making it accessible to users and legal personnel as needed.

[1234] For example, the server stores screenshots of the infringing blogs, along with the access date and time, and URLs. In the event of a lawsuit, users and legal personnel can retrieve this evidence from the database and use it to take appropriate legal action.

[1235] Emotion recognition and notification content adjustment

[1236] The device's built-in emotion recognition engine analyzes the user's facial expressions and voice to determine their emotional state. Based on the recognized emotion, the server adjusts the content of notifications and warnings. For example, if the system detects that the user is feeling anxious or angry, it will notify them in a gentle tone. Conversely, if the system detects that the user is calm, it will notify them in a more direct tone.

[1237] For example, when a user receives a breach notification, the emotion engine analyzes the user's emotional state and notifies them with appropriate wording. The emotion engine also analyzes the user's facial expressions and voice changes and records them in a database. This allows us to keep a log of the user's emotions and use them for future analysis.

[1238] Hardware and software used

[1239] Hardware: The smartphone used by the user

[1240] Software: Python, OpenCV, PIL, sklearn, emotion_recognition library

[1241] Prompt Sentence Examples

[1242] "Design your application to detect and notify unauthorized use of copyrighted material in an ethical and effective manner, sensitive to user sentiment."

[1243] This allows users to feel secure about protecting their own content.

[1244] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1245] Step 1:

[1246] Users use their terminals to upload copyrighted works or portraits to the system. They select a file from the terminal's file selection dialog and click the "Upload" button. The server receives this data and stores the image data and metadata (copyright holder name, creation date) in a database. The input is the file path and metadata, and the output is the copyrighted work information stored in the database.

[1247] Step 2:

[1248] The server launches a crawling AI agent at regular intervals to crawl information on the Internet. The AI ​​agent collects information from multiple websites, social networking services, and blogs and sends it to the server. The input is a list of URLs to be crawled, and the output is the collected web content data.

[1249] Step 3:

[1250] The server compares the information it has collected through crawling with registered copyrighted works and portraits. It primarily uses cosine similarity to calculate the similarity of images and text. The input is the collected web content data and registered copyrighted work data, and the output is the similarity calculation result.

[1251] Step 4:

[1252] If the server detects unauthorized use, it records the URL and screenshots of the content. It also automatically sends a warning email to the violator, which includes details of the infringement and a message urging them to stop. The input is the similarity calculation result, and the output is the stored evidence data and the sent warning email.

[1253] Step 5:

[1254] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future legal proceedings. The database properly classifies and securely stores this evidence information. The input is the infringing content and its metadata, and the output is the evidence information stored in the database.

[1255] Step 6:

[1256] The user's device uses an emotion recognition engine to analyze the user's facial expressions and voice to determine their emotional state. The emotion recognition engine collects data from the user's facial expressions and voice and uses a machine learning model to identify emotions. The input is the user's facial expression data and voice data, and the output is the emotion recognition result.

[1257] Step 7:

[1258] The server adjusts the content of notifications and warnings based on the recognized user emotion. For example, if the user is recognized as feeling anxious or angry, it selects a gentle-toned notification. Conversely, if the user is recognized as calm, it selects a direct notification. The input is the emotion recognition result, and the output is the adjusted notification text.

[1259] This clarifies the specific operations and inputs / outputs at each processing step, enabling efficient and less burdensome copyright protection for users.

[1260] 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.

[1261] 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.

[1262] 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.

[1263] [Fourth embodiment]

[1264] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1265] 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.

[1266] 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).

[1267] 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.

[1268] 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.

[1269] 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).

[1270] 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.

[1271] 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.

[1272] 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.

[1273] 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.

[1274] 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.

[1275] 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.

[1276] 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."

[1277] The system of the present invention is designed to efficiently protect copyrighted works and portraits, and is implemented as follows: A user first registers a copyrighted work or portrait in the system. Once this registration process is complete, the system can crawl content on the Internet and automatically detect content that infringes the registered copyrighted work or portrait.

[1278] 1. Registration of copyrighted works and portraits

[1279] A user uploads copyrighted material or portraits (e.g., images, text, videos, etc.) to the system using a terminal. The server receives the uploaded data and stores it in a database. At this time, the server assigns an identifier to the copyrighted material or portrait and generates appropriate metadata (e.g., copyright holder name, creation date, etc.).

[1280] As a concrete example, consider the case where a user uploads their own photo. The user selects a photo file from the file selection dialog on their device and clicks the "Upload" button. The server then receives the photo data and stores it in the database. Metadata such as copyright holder information (user ID) and upload date and time are also generated and stored at the same time.

[1281] 2. Crawl research on the Internet

[1282] The server launches a crawling AI agent at regular intervals to crawl content on websites, social media, blogs, etc. The crawled content is sent to the server and compared with registered copyrighted works and portraits, allowing the system to detect unauthorized use and copying.

[1283] As a concrete example, consider a process where a server launches a crawling agent at 2 a.m. every day, analyzing images on the Internet and calculating their similarity with images in a database. This process allows the system to automatically check whether users' copyrighted work has been used without permission.

[1284] 3. Violation detection and warning

[1285] If an infringement is detected, the server records the URL and screenshots of the content. The server also automatically sends a warning email to the violator, which includes details of the infringement and a message urging them to stop. The detected infringement status is also stored in a database and users are notified.

[1286] As a concrete example, consider a case where AI discovers that a user's photo has been posted on a blog without permission. The server saves the blog's URL and screenshots, and sends a warning email to the violator. The server also reports this violation to the user via email or an in-system message based on the user's notification settings.

[1287] 4. Preservation of evidence

[1288] The server stores captures of infringing content and metadata (e.g., date, time, URL, IP address, etc.) for future litigation. The database is designed to properly classify and securely store evidence, which can be accessed by users and legal personnel as needed.

[1289] For example, a server might store screenshots of infringing blogs, along with their access dates and times and URLs. In the event of a lawsuit, users or legal personnel can retrieve this evidence from the database and use it to take appropriate legal action.

[1290] The above is a specific embodiment of the system of the present invention, which allows users to protect their copyrights and portrait rights without much effort. Furthermore, automated crawling and infringement detection allows for early detection of infringement, enabling prompt action. Furthermore, proper storage of evidence facilitates future legal action.

[1291] The processing flow will be explained below.

[1292] 1. Registration of copyrighted works and portraits

[1293] Step 1:

[1294] The user uses the device to select the copyrighted or portrait material, specifically by opening the device's file selection dialog and selecting the image, document, or video file they want to upload.

[1295] Step 2:

[1296] The user clicks the "Upload" button, which sends the selected file to the server.

[1297] Step 3:

[1298] The server receives the uploaded data, specifically, extracts the file data included in the HTTP request body.

[1299] Step 4:

[1300] The server stores data on copyrighted works and portraits in a database, generating an identifier and storing it along with metadata such as copyright holder information.

[1301] Step 5:

[1302] The server returns a success message to the user, so that the user can confirm that the file was successfully uploaded.

[1303] 2. Crawl research on the Internet

[1304] Step 1:

[1305] The server launches the crawling AI agent at regular intervals, for example, at 2:00 AM every day as a scheduled task.

[1306] Step 2:

[1307] The AI ​​agent crawls websites, social media sites, blogs, etc. on the Internet and collects content, which is then sent to a server.

[1308] Step 3:

[1309] The server analyzes the collected content and applies image comparison and text analysis algorithms to compare it with registered copyrighted works and portraits.

[1310] 3. Violation detection and warning

[1311] Step 1:

[1312] If the server detects any infringing content, it will record the URL and screenshots of the page. Specifically, it will store the URL of the infringing page in a database and capture and save screenshots.

[1313] Step 2:

[1314] The server will automatically send a warning email to violators, which will include details of the violation and a urging them to stop.

[1315] Step 3:

[1316] The server notifies the user of the violation status by sending an email or an in-system message based on the user's notification settings. This notification includes detailed information about the violation.

[1317] 4. Preserving evidence for litigation

[1318] Step 1:

[1319] The server stores details of the violation (e.g. URL, date and time, screenshots, IP address, etc.) in a database, ensuring evidence for future legal action.

[1320] Step 2:

[1321] The database properly classifies and safely stores evidence information, and access rights are set to prevent unauthorized access.

[1322] Step 3:

[1323] Allow users and legal personnel to access evidential information. Authenticate users and allow authenticated users to retrieve evidential information.

[1324] This specific processing step enables efficient protection of copyrighted works and portraits. Users can easily register copyrighted works and portraits, and the server automatically detects infringements on the Internet and takes prompt action. Furthermore, the storage of evidence facilitates legal action.

[1325] Example 1

[1326] 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."

[1327] In today's world, there are many cases of copyrighted works and portraits being used without permission on the Internet. Traditional manual monitoring and response to infringements of copyright and portrait rights is extremely labor-intensive, and a rapid response is required. It is also important to properly store evidence of infringement and take legal action, but this is also difficult to manage manually.

[1328] 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.

[1329] In this invention, the server includes a means for registering copyrighted works and portrait materials, a means for collecting information on the Internet to detect infringement of copyrights and portrait rights, a means for issuing a warning when an infringement is detected, a means for storing evidence of the infringement, a means for receiving data uploaded by users and storing it in a database, a means for calculating and comparing the similarity of the collected information, a means for automatically sending warning emails, and a means for notifying users. This enables efficient protection of copyrighted works and portrait materials, early detection of infringement, prompt warnings, and appropriate storage of evidence.

[1330] A "work" is a creative work such as text, images, or video, and is protected by copyright.

[1331] A "portrait" is a media such as a photograph or video that depicts a person's face or figure, and is subject to protection by portrait rights.

[1332] "Information on the Internet" refers to digital content accessible via the Internet, such as web pages, social networking services, and blogs.

[1333] A "server" is a computer system that receives, processes, and stores data over a network.

[1334] A "database" is a system that organizes and stores data and allows for efficient searching and management.

[1335] "Collection" refers to the act of acquiring information for a specific purpose, and in this invention particularly refers to the acquisition of digital content on the Internet.

[1336] A "warning" is a notification that warns of illegal activity or misuse and urges you to stop it.

[1337] "Evidence" is information or data that can be used as legal evidence to prove an infringing act.

[1338] "Calculating and comparing similarities" refers to the process of using an algorithm to compare collected digital content with registered copyrighted works and portraits and evaluate the degree of similarity.

[1339] "Metadata" is additional information that includes information about the data, and in this invention refers to the name of the copyright holder, the creation date, and the like.

[1340] "User" means a user of the System who uploads copyrighted material and / or portraits and uses the System to protect their rights.

[1341] The present invention relates to a system for efficiently protecting copyrighted works and portraits, and is implemented in the following manner: A user first registers a copyrighted work or portrait in the system. Once this registration process is complete, the system has the ability to collect information on the Internet and automatically detect content that infringes the registered copyrighted work or portrait.

[1342] Specifically, this system protects copyright and portrait rights using the following steps:

[1343] A user uses a terminal to upload copyrighted material or portraits (e.g., images, text, videos, etc.) to the system. The server receives the data from the user and stores it in a database. During this process, the server assigns an identifier to the copyrighted material or portrait, and automatically generates and stores metadata such as the name of the copyright holder and the date of creation.

[1344] As a concrete example, consider the case where a user uploads their own photo. The user selects a photo file from the file selection dialog on the device and clicks the "Upload" button. The server then receives the photo data "my_photo.jpg" and saves it in the database with the identifier "image123." It also generates and saves the copyright holder information "userID123" and the upload date and time "2023-10-02" as metadata.

[1345] Next, the server launches a crawling AI agent based on a set schedule (for example, every day at 2:00 AM). The crawling AI agent collects content from web pages, social networking services, blogs, etc. on the Internet. The collected content is sent to the server, which analyzes it and compares it with registered copyrighted works and portraits in the database to calculate similarities.

[1346] For example, the server could launch an AI agent at 2 a.m. to collect images from the internet and compare them with "my_photo.jpg" in the database. Based on the results of this comparison, it could determine whether registered copyrighted material has been used without permission.

[1347] If a violation is detected, the server will record the URL and screenshots of the content. Additionally, the server will automatically send a warning email to the violator, which will include details of the violation and a request to stop. Users will be notified of the violation via email and in-system messages.

[1348] For example, if the AI ​​discovers that a user's photo has been posted on a blog without permission, the server will save the blog's URL (http: / / example.com / blog123) and a screenshot, then automatically send a warning email to the violator and notify the user via email.

[1349] The server stores captures of infringing content and metadata (e.g., date, time, URL, IP address, etc.) for future litigation. The database is designed to properly classify and securely store evidence, which users and legal personnel can access as needed.

[1350] For example, the server stores screenshots of the infringing blog, the access date and time (2023-10-02 03:00), and the URL (http: / / example.com / blog123). In the event of a lawsuit, users or legal personnel can retrieve this evidence from the database and use it in legal action.

[1351] The above is a specific embodiment of the system of the present invention, which allows users to efficiently protect their copyrights and portrait rights. Furthermore, automated crawling and infringement detection enable rapid response, and proper storage of evidence facilitates future legal action.

[1352] Example prompt sentence:

[1353] By inputting the following prompt sentence into the generative AI model, a description of the above system can be generated.

[1354] This system is designed to protect copyrighted works and portraits. The process begins with a user uploading copyrighted works or portraits (e.g., images, text, videos, etc.) using a terminal, and the server receives the uploaded data and stores it in a database. The server then crawls content on the Internet and automatically detects content that infringes registered copyrighted works or portraits. This allows it to detect unauthorized use or copying, send warning emails to violators, and preserve evidence.

[1355] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1356] Step 1:

[1357] The user uploads a copyrighted work or portrait. The user accesses the system's upload page through the browser on their device and uses the "Select File" button to select the copyrighted work or portrait to upload. The input is the file selected by the user, and the output is the file data sent to the server.

[1358] Specific behavior:

[1359] The user selects a photo called "my_photo.jpg" from the file selection dialog on the device and clicks the "Upload" button. The device then sends this file to the server.

[1360] Step 2:

[1361] The server stores the received file. The server receives the file sent by the user, verifies its contents, and stores it in a database. During this process, the server assigns an identifier to the file and generates metadata (e.g., copyright holder name, creation date, etc.). The input is the file data sent from the device, and the output is the file and associated metadata stored in the database.

[1362] Specific behavior:

[1363] The server receives "my_photo.jpg", assigns it the identifier "image123", and stores it in the database. It also generates and stores the copyright holder information "userID123" and the upload date and time "2023-10-02" as metadata.

[1364] Step 3:

[1365] The server launches the crawling AI agent. The server launches the AI ​​agent at the set time (e.g., 2:00 AM every day) according to the crawling schedule. The input is the schedule data, and the output is the launched AI agent.

[1366] Specific behavior:

[1367] The server launches a crawling agent at 2 a.m. This agent collects content from web pages, social networking services, blogs, and other sources on the Internet.

[1368] Step 4:

[1369] The server analyzes the collected content. The content collected by the AI ​​agent is sent to the server, which analyzes it, compares it with registered copyrighted works and portraits in the database, and calculates the similarity. The input is the collected content data, and the output is the similarity calculation result.

[1370] Specific behavior:

[1371] The server compares the collected images with "my_photo.jpg" in the database and calculates the similarity of the images.

[1372] Step 5:

[1373] The server detects infringement. Based on the similarity calculation result, the server detects unauthorized use of copyrighted material or portraits. The input is the similarity calculation result, and the output is the infringement detection result.

[1374] Specific behavior:

[1375] If the calculated similarity exceeds a certain threshold, the server determines that the image has been used without permission.

[1376] Step 6:

[1377] The server records the URLs and screenshots of infringing content. If an infringement is detected, the server records the URLs and screenshots of the content. The input is the infringement detection result, and the output is the recorded URLs and screenshots.

[1378] Specific behavior:

[1379] The server saves the URL of the violating blog, "http: / / example.com / blog123," along with a screenshot of it.

[1380] Step 7:

[1381] The server sends a warning email. If an infringement is detected, the server automatically sends a warning email to the violator. The input is the infringement detection result and the violator's contact information, and the output is the sent warning email.

[1382] Specific behavior:

[1383] The server automatically sends a warning email to violators stating that "content at the specified URL is being used without permission and should be deleted immediately."

[1384] Step 8:

[1385] The server notifies the user. Based on the user's notification settings, the server reports the breach status by sending email or an internal message. The input is the breach detection result and the user's notification settings, and the output is the sent notification.

[1386] Specific behavior:

[1387] The server sends the user an email stating, "Your copyrighted work has been used without permission. Please check the URL below."

[1388] Step 9:

[1389] The server stores evidence. The server stores captures and metadata of infringing content for future litigation. The input is the infringing content information, and the output is the stored evidence data.

[1390] Specific behavior:

[1391] The server will save a screenshot of the violating blog, its access date and time (2023-10-02 03:00), and the URL (http: / / example.com / blog123).

[1392] The above are the specific processing steps of this system, which allows users to efficiently protect their copyrights and portrait rights, and achieves quick response and appropriate storage of evidence.

[1393] (Application example 1)

[1394] 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."

[1395] Infringement of copyrights and portrait rights on the Internet is on the rise, and conventional manual monitoring and response methods tend to be slow. Furthermore, evidence is sometimes not collected or stored properly, resulting in the time and effort required for legal action. The present invention aims to solve these problems and provide a fast and efficient method for protecting copyrighted works and portraits.

[1396] 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.

[1397] In this invention, the server includes means for registering copyrighted works and portrait materials, means for crawling content on the Internet to detect infringement of copyrights and portrait rights, means for issuing a warning when an infringement is detected, means for storing evidence of the infringement, means for uploading copyrighted works and portrait materials using a smart device, means for using image recognition technology to detect infringement, means for activating the crawl agent at specified time intervals, and means for automatically sending a warning email, thereby enabling infringement of copyrights and portrait rights on the Internet to be quickly detected and automatically addressed.

[1398] "Work" refers to any work of creative expression or product of knowledge that is protected by copyright law.

[1399] "Portraits" refer to photographs, paintings, etc. that depict an individual's figure or face, and are objects protected by portrait rights.

[1400] "Crawling" refers to the process of automatically visiting web pages on the Internet and gathering information.

[1401] A "warning" refers to the act of notifying someone who is infringing copyright or portrait rights to stop the infringing behavior.

[1402] "Evidence" refers to specific data or records that show infringement of copyright or portrait rights, and serves as the basis for legal action.

[1403] "Smart device" refers to a high-technology device that has internet connectivity and is capable of running applications.

[1404] "Image recognition technology" refers to technology that uses computer vision and deep learning technologies to automatically recognize and classify the content of images.

[1405] A "crawl agent" refers to a program that automatically crawls web pages on the Internet and collects content.

[1406] A "warning email" refers to an email sent when a copyright or portrait right infringement is detected, urging the infringer to stop the infringing behavior.

[1407] "Content distribution platform" refers to an online medium that allows users to widely publish and share content they create.

[1408] The present invention provides a system for efficiently detecting and quickly dealing with infringement of copyrights and portrait rights on the Internet. Specific embodiments for carrying out the present invention will be described below.

[1409] System configuration

[1410] The system of the present invention comprises the following main components:

[1411] 1. How to register copyrighted works and portraits

[1412] 2. A method for crawling content on the Internet to detect copyright and portrait rights infringement

[1413] 3. Means of issuing warnings when infringement is detected

[1414] 4. Means of preserving evidence of infringement

[1415] 5. Uploading copyrighted material or portraits using a smart device

[1416] 6. Using image recognition technology to detect infringement

[1417] 7. How to launch the crawl agent at specified intervals

[1418] 8. Automatically sending warning emails

[1419] Specific hardware and software

[1420] Hardware:

[1421] Smartphone: A modern smartphone, which users use to take and upload copyrighted material and portraits.

[1422] Smart Glasses: Smart glasses with advanced camera capabilities, allowing users to easily capture images and send them to the system.

[1423] software:

[1424] Firebase Authentication: Used to manage user registration and authentication.

[1425] Google Cloud Storage: Used to store uploaded image and video data.

[1426] TensorFlow: Used for image recognition and similarity detection.

[1427] BeautifulSoup: Used to crawl content on the internet.

[1428] SendGrid: Used to send alert emails.

[1429] Processing Description

[1430] 1. User Registration and Login

[1431] Users create an account and log in using Firebase Authentication using their smartphone or smart glasses.

[1432] 2. Registration of copyrighted works and portraits

[1433] Users use their smart devices to take or select copyrighted material or portraits and upload them to Google Cloud Storage, at which point the server generates metadata (such as copyright owner information) and stores it in Firestore.

[1434] 3. Internet Crawl

[1435] A crawling agent using BeautifulSoup runs at specified intervals, crawling through content on websites, social media, blogs, and other sites on the Internet and collecting image data.

[1436] 4. Breach Detection

[1437] Using TensorFlow, the crawling agent compares the images collected with copyrighted works and portraits registered in the system to calculate similarities, a process that automatically identifies infringing content.

[1438] 5. Warnings and Notifications

[1439] If a breach is detected, an automatic email warning will be sent using SendGrid, and users will be notified via in-system notifications and email.

[1440] 6. Preservation of evidence

[1441] The server stores evidence of the infringing content, such as screenshots, URLs, and metadata, in Google Firestore, which can be used to protect against future legal action.

[1442] Specific examples

[1443] For example, consider a scenario in which a user uploads a photo they took to the system and later detects that the photo has been used without permission on the Internet. In this case, the server will automatically identify the infringing content, send a warning email, and store screenshots and related data of the infringing content as evidence and report it to the user.

[1444] You can also use a generative AI model to prompt like this:

[1445] "This program detects whether images uploaded by users are being used without permission and automatically sends warning emails. I would like to know the following information:

[1446] 1. What is the best way to crawl images on the internet?

[1447] 2. How can I improve the accuracy of image similarity detection using TensorFlow?

[1448] Thus, the present invention provides a system for quickly and efficiently detecting and responding to copyright and portrait right infringements on the Internet.

[1449] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1450] Step 1:

[1451] The user uses a smart device to take a photograph of a copyrighted work or portrait, or select it from existing files, and upload it.

[1452] Input: Image or video files selected or captured by the user.

[1453] Data processing: The device takes the selected file and converts it into the appropriate format.

[1454] Output: Format converted image and video files.

[1455] Specific operation: The user takes a photo with the camera on their smart device and presses the upload button in the app to send the data to the server.

[1456] Step 2:

[1457] The server stores the received copyrighted material and portraits in Google Cloud Storage, generates metadata, and records it in Firestore.

[1458] Input: Image and video files sent from smart devices.

[1459] Data calculation: The server generates an identifier for the file and creates metadata including the upload date and time and copyright owner information.

[1460] Output: Files stored in Google Cloud Storage and metadata recorded in Firestore.

[1461] Specific operation: The server uploads the image file to Google Cloud Storage and writes information such as its URL, upload date and time, and user ID to Firestore.

[1462] Step 3:

[1463] The server starts a crawling agent at a specified time interval to collect content on the Internet.

[1464] Input: Crawl agent launch trigger (time interval).

[1465] Data processing: Crawl agents collect image data from sources such as websites, social media, and blogs.

[1466] Output: Collected image data.

[1467] Specific operation: The crawling agent starts, for example, at 2:00 AM, and visits each website based on the specified URL list and downloads image data.

[1468] Step 4:

[1469] The server uses TensorFlow to evaluate the similarity between the collected image data and registered copyrighted works and portraits.

[1470] Input: Collected image data and registered copyright data.

[1471] Data calculation: Using a TensorFlow model, features of each image are extracted and similarity comparisons are performed.

[1472] Output: A list of similarity ratings.

[1473] Specific operation: The server inputs the collected images into the TensorFlow model, calculates the similarity score, and generates matching results with the registered images.

[1474] Step 5:

[1475] If the server detects an infringement based on similarity assessment, a warning email will be automatically sent using SendGrid.

[1476] Input: The result of the similarity assessment.

[1477] Data manipulation: Extract data about infringing content and insert it into email templates.

[1478] Output: Send a warning email to the infringer.

[1479] Specific operation: The server retrieves the image information that is determined to be in violation and sends a warning email to the specified email address via SendGrid.

[1480] Step 6:

[1481] The server stores evidence of the breach and notifies the user.

[1482] Input: Similarity rating and URL and screenshot of the infringing content.

[1483] Data Computing: Store infringing content information in Firestore and generate email or in-app notifications.

[1484] Output: Evidence data stored in Firestore and a notification to the user.

[1485] What happens: The server saves screenshots of the infringing content, the URL, and the date and time of the infringing content in Firestore, and sends a notification email or in-app message to the user.

[1486] These steps enable the system of the present invention to quickly and efficiently detect and respond to copyright and publicity rights infringement on the Internet.

[1487] 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.

[1488] The system of the present invention is designed to efficiently protect copyrighted works and portraits, and is combined with an emotion engine that recognizes user emotions and adjusts actions accordingly. Specific embodiments of the system are described below.

[1489] 1. Registration of copyrighted works and portraits

[1490] Users use their devices to upload copyrighted works and images (e.g., images, text, videos, etc.) to the system. The server receives this data and stores it in a database. During the registration process, the server assigns an identifier to each copyrighted work or image and generates metadata (e.g., copyright holder name, creation date, etc.).

[1491] For example, when a user wants to upload their own photo, they select the photo file from the file selection dialog on their device and click the "Upload" button. The server then receives the photo data and stores it in the database. Metadata such as copyright holder information and upload date and time are also stored.

[1492] 2. Crawl research on the Internet

[1493] The server launches a crawling AI agent at regular intervals to crawl content on the Internet, such as websites, social media, blogs, etc. The crawled content is sent to the server and compared with registered copyrighted works and portraits to check for unauthorized use or copying.

[1494] For example, the server launches a crawling agent at 2 a.m. every day, analyzing images on the Internet and calculating their similarity with images in the database. This allows the system to automatically check whether users' copyrighted work has been used without permission.

[1495] 3. Violation detection and warning

[1496] If an infringement is detected, the server records the URL and screenshots of the content. Additionally, the server automatically sends a warning email to the violator, including details of the infringement and a message urging them to stop. The detected infringement status is stored in a database and the user is notified.

[1497] For example, if the AI ​​discovers that a user's photo has been posted on another blog without permission, the server will save the blog's URL and screenshots, send a warning email to the violator, and report the violation via email or in-system message based on the user's notification settings.

[1498] 4. Preserving evidence for litigation

[1499] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future litigation. The database properly categorizes and securely stores the evidence, which can be accessed by users and legal personnel as needed.

[1500] For example, the server stores screenshots of the infringing blogs, along with the access date and time, and URLs. In the event of a lawsuit, users and legal personnel can retrieve this evidence from the database and use it to take appropriate legal action.

[1501] 5. Introducing the Emotion Engine

[1502] The system is equipped with an emotion engine that recognizes the user's emotions, allowing it to tailor notifications and warnings to suit the user's emotional state. For example, if the emotion engine detects that the user is anxious or angry, the system will respond by providing gentler notifications and warnings. Conversely, if the system detects that the user is calm, it will provide more direct notifications.

[1503] For example, when a user receives a notice of infringement, the emotion engine analyzes the user's emotional state and sends the notice in an appropriate format. The emotion engine also analyzes the user's facial expressions and voice changes and records them in a database. This allows the user's emotional log to be kept and used for future analysis.

[1504] These processes enable the system of the present invention to efficiently protect copyrighted works and portraits, while also enabling flexible responses that take into account the feelings of users, allowing users to protect their copyrights and portrait rights without feeling stressed.

[1505] The processing flow will be explained below.

[1506] 1. Registration of copyrighted works and portraits

[1507] Step 1:

[1508] The user uses the device to select the copyrighted or portrait material, specifically by opening the device's file selection dialog and selecting the image, document, or video file they want to upload.

[1509] Step 2:

[1510] The user clicks the "Upload" button, which sends the selected file to the server.

[1511] Step 3:

[1512] The server receives the uploaded data, specifically, extracts the file data included in the HTTP request body.

[1513] Step 4:

[1514] The server stores data on copyrighted works and portraits in a database, generating an identifier and storing it along with metadata such as copyright holder information.

[1515] Step 5:

[1516] The server returns a success message to the user, so that the user can confirm that the file was successfully uploaded.

[1517] 2. Crawl research on the Internet

[1518] Step 1:

[1519] The server launches the crawling AI agent at regular intervals, for example, at 2:00 AM every day as a scheduled task.

[1520] Step 2:

[1521] The AI ​​agent crawls websites, social media sites, blogs, etc. on the Internet and collects content, which is then sent to a server.

[1522] Step 3:

[1523] The server analyzes the collected content and applies image comparison and text analysis algorithms to compare it with registered copyrighted works and portraits.

[1524] 3. Violation detection and warning

[1525] Step 1:

[1526] If the server detects any infringing content, it will record the URL and screenshots of the page. Specifically, it will store the URL of the infringing page in a database and capture and save screenshots.

[1527] Step 2:

[1528] The server will automatically send a warning email to violators, which will include details of the violation and a urging them to stop.

[1529] Step 3:

[1530] The server notifies the user of the violation status by sending an email or an in-system message based on the user's notification settings. This notification includes detailed information about the violation.

[1531] 4. Preserving evidence for litigation

[1532] Step 1:

[1533] The server stores details of the violation (e.g. URL, date and time, screenshots, IP address, etc.) in a database, ensuring evidence for future legal action.

[1534] Step 2:

[1535] The database properly classifies and safely stores evidence information, and access rights are set to prevent unauthorized access.

[1536] Step 3:

[1537] Allow users and legal personnel to access evidential information. Authenticate users and allow authenticated users to retrieve evidential information.

[1538] 5. Introducing the Emotion Engine

[1539] Step 1:

[1540] When a user uses a device to check a breach notification, the system recognizes the user's emotional state by analyzing the user's facial expressions and voice.

[1541] Step 2:

[1542] The emotion engine analyzes the user's emotional state and identifies states such as optimistic, calm, anxious, angry, etc. The analysis results are sent to the server.

[1543] Step 3:

[1544] The server adjusts the notification content and warning message based on the analysis results of the emotion engine. For example, if the user is feeling anxious, the notification will be delivered in a gentle tone.

[1545] Step 4:

[1546] The server sends the adjusted notification content to the user, who receives the notification on their device and checks the content according to their emotions.

[1547] Step 5:

[1548] The server logs the user's emotional state and stores it for future analysis, allowing us to maintain a history of the user's emotions and use it to further improve our response.

[1549] The above processing steps not only realize efficient protection of copyrighted works and portrait rights, but also allow for flexible responses that take into account the feelings of users, allowing users to carry out the process of protecting their copyrights and portrait rights without feeling stressed.

[1550] Example 2

[1551] 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."

[1552] As the number of illegal copyrighted works and unauthorized use of portrait images on the Internet increases, there is a need to quickly and efficiently detect and respond to such cases. In particular, when it comes to protecting copyrights and portrait rights, it is important to preserve evidence and take legal action when infringement occurs. However, these processes are currently often performed manually, placing a heavy burden on users. Furthermore, there is a lack of mechanisms for providing appropriate notifications and warnings that take user feelings into consideration, which can cause users to feel stressed.

[1553] 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 a means for registering copyrighted works and portrait materials, a means for crawling content on the Internet to detect infringement of copyright or portrait rights, a means for issuing a warning when an infringement is detected, a means for saving the detected infringement and storing evidence in preparation for litigation, and a means including an emotion engine that recognizes user emotions and adjusts notifications and warning messages. This makes it possible to efficiently protect copyrights and portrait rights and to flexibly respond in consideration of user emotions.

[1554] A "work" is any form of expression resulting from human creative activity, such as literature, music, art, photography, or film, for which copyright is granted to its author.

[1555] A "portrait" is any image, video, photograph, or other form of expression that depicts the face or figure of an individual, to which the individual has portrait rights.

[1556] A "server" is a computer system that provides data and services to clients over a network.

[1557] A "terminal" is an electronic device such as a computer or smartphone that is operated by a user and used to exchange data with a server.

[1558] "Crawling" is a technique that automatically crawls websites and web pages on the Internet and collects information.

[1559] A "warning" is a notice that requests an action to be stopped when unauthorized use or infringement of copyrighted material or likeness is discovered.

[1560] "Evidence preservation" refers to the secure storage of breach details and related data for use in future legal proceedings.

[1561] The "emotion engine" is a system that analyzes the user's emotional state and adjusts notification content and warning messages based on this.

[1562] "Identifier" means a number or code assigned to a copyrighted work or portrait to uniquely identify it.

[1563] The system of the present invention combines an emotion engine that recognizes user emotions and adjusts actions to effectively protect copyrighted works and portraits. A specific embodiment of this system is described below.

[1564] 1. Registration of copyrighted works and portraits

[1565] Users use their devices to upload copyrighted works and portraits, such as images, text, and videos, to the system. The user selects the file they want to upload from the file selection dialog on their device and clicks the "Upload" button. The server then receives the uploaded data and stores it in a database. The server then assigns an identifier to each copyrighted work or portrait and generates metadata (such as the name of the copyright holder and the date of creation).

[1566] Specific examples

[1567] When a user uploads a family photo, they select the photo file from the file selection dialog and click the "Upload" button. The server then receives the photo data and stores it in the database. Metadata such as copyright owner information and upload date and time are also recorded.

[1568] 2. Crawl research on the Internet

[1569] The server launches a crawling AI agent at regular intervals. The crawling agent collects data from websites, social media sites, blogs, etc. on the Internet. The collected data is sent to the server and compared with registered copyrighted works and portraits in a database to check for unauthorized use or copying.

[1570] Specific examples

[1571] Every day at 2 a.m., the server launches a crawling agent that analyzes images on the internet and compares them with images in the database. If there is a match, the system determines that the images may have been used without permission.

[1572] 3. Violation detection and warning

[1573] If an infringement is detected, the server records the URL and screenshots of the content. Additionally, the server automatically sends a warning email to the violator, including details of the infringement and a message to stop. The detected infringement status is stored in a database and the user is notified.

[1574] Specific examples

[1575] If the AI ​​detects that a user's photos have been posted on another blog without permission, the server will save the blog's URL and screenshots, send a warning email to the violator, and report the violation via email or in-system message based on the user's notification settings.

[1576] 4. Preserving evidence for litigation

[1577] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future litigation. The database properly categorizes and securely stores this evidence, making it accessible to users and legal personnel as needed.

[1578] Specific examples

[1579] The server stores screenshots of the infringing blogs, along with the access date and time and URL. In the event of a lawsuit, users and legal personnel can retrieve this evidence from the database and use it to take legal action.

[1580] 5. Introducing the Emotion Engine

[1581] The system incorporates an emotion engine that recognizes the user's emotions and adjusts the content of notifications and warnings according to the user's emotional state. The emotion engine analyzes the user's facial expressions and voice, and records the results in a database to maintain an emotion log.

[1582] Specific examples

[1583] When a user receives a breach notification, the emotion engine analyzes the user's emotional state and delivers the notification in an appropriate tone. For example, if the user is anxious or angry, the notification will be delivered in a gentle tone.

[1584] Prompt Sentence Examples

[1585] Below are some examples of specific prompts to input into the generative AI model.

[1586] Example prompt 1:

[1587] Please explain in detail the process a user goes through to upload a photo, including how the server receives the data and generates the metadata.

[1588] Example prompt 2:

[1589] Describe the process for crawling copyrighted material on the Internet and detecting unauthorized use. Explain how the server crawls content daily and compares it with data in the database.

[1590] Through the above process, the system of the present invention can efficiently protect copyrights and portrait rights while also providing flexible support that takes into account the feelings of users, allowing users to protect their copyrights and portrait rights without feeling stressed.

[1591] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1592] Step 1:

[1593] (Input) The user uses the terminal to select the copyrighted material or portrait they wish to upload.

[1594] (Action) The user opens a file selection dialog, selects the appropriate file, and clicks the "Upload" button.

[1595] (Output) The path and associated metadata of the selected files are generated.

[1596] The server receives the file sent by the user and stores it in a database, acquiring basic information such as the file format and size.

[1597] Step 2:

[1598] (Input) The file data and its associated metadata received by the server.

[1599] (Operation) The server assigns a unique identifier to the received file and generates metadata such as the copyright holder name and creation date.

[1600] (Output) Identifiers and metadata are generated and stored in a database.

[1601] Step 3:

[1602] (Input) The crawl agent startup schedule set on the server. For example, every day at 2 AM.

[1603] (Operation) The server automatically starts the crawl agent at the specified time.

[1604] (Output) The crawling agent begins the process of collecting data from websites, social media sites, blogs, etc. on the Internet.

[1605] Step 4:

[1606] (Input) Content on the Internet collected by crawling agents.

[1607] (Operation) The crawling agent sends the collected data to the server, which receives it and compares it with registered copyrighted works and portraits in its database.

[1608] (Output) Detailed information about the collected data (URL, capture date and time, etc.) is sent to the server, and the similarity calculation results are obtained. The server determines whether or not the data has been used without permission.

[1609] Step 5:

[1610] (Input) Detailed information about the infringing content detected as a result of the server's comparison.

[1611] (Operation) If the server detects any unauthorized use or infringement, it will record the URL and screenshots of the content, and automatically send a warning email to the violator.

[1612] (Output) Records of the URL and screenshots of the infringing content, as well as records of warning emails sent, are stored in a database.

[1613] Step 6:

[1614] (Input) Capture and metadata of the infringing content recorded by the server.

[1615] (Operation) The server stores this information securely in case of future litigation, making it accessible to users and legal personnel as needed.

[1616] (Output) Metadata such as capture, access date and time, URL, IP address etc. are securely stored in a database.

[1617] Step 7:

[1618] (Input) Data about the user's emotional state (e.g., facial expressions, vocal changes, etc.).

[1619] (Operation) The emotion engine analyzes the user's emotional state and generates notification and warning messages based on that. The emotion engine also generates an emotion log based on the data provided.

[1620] (Output) The notification content and warning messages customized by the emotion engine, as well as the analyzed emotion log, are saved in a database.

[1621] (Application example 2)

[1622] 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."

[1623] Conventional copyright and portrait protection systems do not take into account the user's emotional state when detecting unauthorized use or issuing warnings, which can cause excessive stress and anxiety to users. Furthermore, if infringing content is not detected or evidence is not stored efficiently, legal procedures can become difficult. Therefore, the present invention aims to recognize the user's emotional state and enable flexible responses accordingly, thereby reducing the user's mental burden and more efficiently protecting copyrights and portrait rights.

[1624] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1625] In this invention, the server includes a means for registering copyrighted works and portrait materials, a means for crawling information on the Internet to detect infringement of copyrights and portrait rights, a means for issuing a warning when an infringement is detected, a means for storing evidence of the infringement, a means for recognizing a user's emotions, and a means for adjusting the content of notifications and warnings according to the user's emotional state. This enables effective and flexible protection of copyrights and portrait rights while taking the user's emotional state into consideration.

[1626] A "work" is an original literary, scientific, artistic, musical, or other expression created by an author.

[1627] A "portrait" is a representation of a person's face or figure in a photograph, painting, sculpture, etc.

[1628] "Registration" is the act of recording and storing certain information or data in a system.

[1629] "Means" refers to a method, device, program, etc. used to achieve a specific purpose.

[1630] "Internet information" refers to any digital content that exists on any medium connected to the Internet, such as websites, social networking services, blogs, etc.

[1631] "Crawling" is the process of automatically collecting and analyzing information on the Internet using specific algorithms.

[1632] "Infringement" refers to the act of using another person's copyright or portrait rights without permission.

[1633] A "warning" is a notification to a third party engaging in problematic behavior, urging them to stop.

[1634] "Evidence preservation" is the act of securely storing evidence of infringing activity to support future legal proceedings.

[1635] "Emotion recognition" is the process of identifying a user's emotional state based on their facial expressions, voice, and other physiological data.

[1636] "Adjusting the content of notifications and warnings" refers to the act of appropriately changing the message and tone of notifications and warnings depending on the user's emotional state.

[1637] The system of the present invention comprises the following means for efficiently protecting copyrighted works and portraits: Details of each means and processing method will be described for an embodiment of the system.

[1638] Registration of copyrighted works and portraits

[1639] Users upload their copyrighted works and portraits (e.g., images, text, videos, etc.) to the system via their terminals. The server receives this data, generates a specific identifier, and stores it in a database. When registering, metadata such as the copyright holder's name and creation date are also generated and stored.

[1640] For example, when a user uploads a photo, they select the photo file from the file selection dialog on their device and click the "Upload" button. The server then receives the photo data, stores it in a database, and generates an identifier. Metadata such as copyright owner information and upload date and time are also stored.

[1641] Crawling for information on the Internet

[1642] The server launches a crawling AI agent at regular intervals to crawl information on websites, social networking services, blogs, etc. The crawled information is sent to the server and compared with registered copyrighted works and portraits to check for any unauthorized use.

[1643] For example, the server launches a crawling agent at 2 a.m. every day, analyzing images on the Internet and calculating their similarity with images in the database, allowing the system to automatically check whether a user's copyrighted work has been used without permission.

[1644] Violation detection and warning

[1645] If the server detects unauthorized use, it will record the URL and screenshots of the content in question as a means of issuing a specific warning. It will automatically send a warning email to the violator, including details of the infringement and a message urging them to stop. The detected violation status will be stored in a database, and users will be notified as necessary.

[1646] For example, if the system detects that a user's photo has been posted on another blog without permission, the server will save the blog's URL and screenshots, send a warning email to the violator, and report the violation via email or in-system message based on the user's notification settings.

[1647] Preserving evidence for litigation

[1648] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future legal proceedings. The database properly categorizes and securely stores this evidence, making it accessible to users and legal personnel as needed.

[1649] For example, the server stores screenshots of the infringing blogs, along with the access date and time, and URLs. In the event of a lawsuit, users and legal personnel can retrieve this evidence from the database and use it to take appropriate legal action.

[1650] Emotion recognition and notification content adjustment

[1651] The device's built-in emotion recognition engine analyzes the user's facial expressions and voice to determine their emotional state. Based on the recognized emotion, the server adjusts the content of notifications and warnings. For example, if the system detects that the user is feeling anxious or angry, it will notify them in a gentle tone. Conversely, if the system detects that the user is calm, it will notify them in a more direct tone.

[1652] For example, when a user receives a breach notification, the emotion engine analyzes the user's emotional state and notifies them with appropriate wording. The emotion engine also analyzes the user's facial expressions and voice changes and records them in a database. This allows us to keep a log of the user's emotions and use them for future analysis.

[1653] Hardware and software used

[1654] Hardware: The smartphone used by the user

[1655] Software: Python, OpenCV, PIL, sklearn, emotion_recognition library

[1656] Prompt Sentence Examples

[1657] "Design your application to detect and notify unauthorized use of copyrighted material in an ethical and effective manner, sensitive to user sentiment."

[1658] This allows users to feel secure about protecting their own content.

[1659] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1660] Step 1:

[1661] Users use their terminals to upload copyrighted works or portraits to the system. They select a file from the terminal's file selection dialog and click the "Upload" button. The server receives this data and stores the image data and metadata (copyright holder name, creation date) in a database. The input is the file path and metadata, and the output is the copyrighted work information stored in the database.

[1662] Step 2:

[1663] The server launches a crawling AI agent at regular intervals to crawl information on the Internet. The AI ​​agent collects information from multiple websites, social networking services, and blogs and sends it to the server. The input is a list of URLs to be crawled, and the output is the collected web content data.

[1664] Step 3:

[1665] The server compares the information it has collected through crawling with registered copyrighted works and portraits. It primarily uses cosine similarity to calculate the similarity of images and text. The input is the collected web content data and registered copyrighted work data, and the output is the similarity calculation result.

[1666] Step 4:

[1667] If the server detects unauthorized use, it records the URL and screenshots of the content. It also automatically sends a warning email to the violator, which includes details of the infringement and a message urging them to stop. The input is the similarity calculation result, and the output is the stored evidence data and the sent warning email.

[1668] Step 5:

[1669] The server stores captures of infringing content and metadata (date, time, URL, IP address, etc.) for future legal proceedings. The database properly classifies and securely stores this evidence information. The input is the infringing content and its metadata, and the output is the evidence information stored in the database.

[1670] Step 6:

[1671] The user's device uses an emotion recognition engine to analyze the user's facial expressions and voice to determine their emotional state. The emotion recognition engine collects data from the user's facial expressions and voice and uses a machine learning model to identify emotions. The input is the user's facial expression data and voice data, and the output is the emotion recognition result.

[1672] Step 7:

[1673] The server adjusts the content of notifications and warnings based on the recognized user emotion. For example, if the user is recognized as feeling anxious or angry, it selects a gentle-toned notification. Conversely, if the user is recognized as calm, it selects a direct notification. The input is the emotion recognition result, and the output is the adjusted notification text.

[1674] This clarifies the specific operations and inputs / outputs at each processing step, enabling efficient and less burdensome copyright protection for users.

[1675] 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.

[1676] 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.

[1677] 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.

[1678] 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.

[1679] 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.

[1680] 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.

[1681] 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).

[1682] 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.

[1683] 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."

[1684] 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.

[1685] 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).

[1686] 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.

[1687] 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.

[1688] 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.

[1689] 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.

[1690] 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.

[1691] 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.

[1692] 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.

[1693] 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.

[1694] 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.

[1695] 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.

[1696] The following is further disclosed regarding the above embodiment.

[1697] (Claim 1)

[1698] the means of registering copyrighted works and portraits;

[1699] A means of crawling content on the Internet to detect copyright and portrait rights infringement;

[1700] a means of issuing an alert if a breach is detected;

[1701] A means of preserving evidence of the infringement situation;

[1702] A system including:

[1703] (Claim 2)

[1704] 10. The system of claim 1, further comprising means for generating an identifier for identifying said copyrighted or likeness work.

[1705] (Claim 3)

[1706] The system of claim 1, wherein the crawling targets are websites, social networking sites, and blogs.

[1707] "Example 1"

[1708] (Claim 1)

[1709] the means of registering copyrighted works and portraits;

[1710] A means of collecting information on the Internet to detect infringement of copyrights and portrait rights;

[1711] a means of issuing an alert if a breach is detected;

[1712] A means of preserving evidence of the infringement situation;

[1713] means for receiving data uploaded by users and storing it in a database;

[1714] a means for calculating and comparing the similarity of the collected information;

[1715] A means of automatically sending warning emails;

[1716] a means for notifying a user;

[1717] A system including:

[1718] (Claim 2)

[1719] 10. The system of claim 1, further comprising means for generating identifiers and storing metadata for identifying copyrighted works and portraits.

[1720] (Claim 3)

[1721] The system of claim 1, wherein the collection targets are web pages, social networking services, and blogs.

[1722] "Application Example 1"

[1723] (Claim 1)

[1724] the means of registering copyrighted works and portraits;

[1725] A means of crawling content on the Internet to detect copyright and portrait rights infringement;

[1726] a means of issuing an alert if a breach is detected;

[1727] A means of preserving evidence of the infringement situation;

[1728] A means of uploading copyrighted works and portraits using a smart device;

[1729] using image recognition technology to detect infringement;

[1730] a means for invoking the crawling agent at specified time intervals;

[1731] A means of automatically sending warning emails;

[1732] A system including:

[1733] (Claim 2)

[1734] 10. The system of claim 1, further comprising means for generating an identifier for identifying said copyrighted or likeness work.

[1735] (Claim 3)

[1736] The system of claim 1, wherein the crawl targets content distribution platforms, websites, and information sharing media.

[1737] "Example 2: Combining Emotion Engines"

[1738] (Claim 1)

[1739] the means of registering copyrighted works and portraits;

[1740] A means of crawling content on the Internet to detect copyright and portrait rights infringement;

[1741] a means of issuing an alert if a breach is detected;

[1742] A means of preserving the detected infringements and preserving evidence in preparation for litigation;

[1743] means including an emotion engine for recognizing user emotions and adjusting notifications and warnings;

[1744] A system including:

[1745] (Claim 2)

[1746] 10. The system of claim 1, further comprising means for generating an identifier for identifying the copyrighted work or portrait.

[1747] (Claim 3)

[1748] 10. The system of claim 1, wherein the crawling targets are sites, social networking services, and blogs on the Internet.

[1749] "Application example 2 when combining emotion engines"

[1750] (Claim 1)

[1751] the means of registering copyrighted works and portraits;

[1752] A means of crawling information on the Internet to detect infringement of copyrights and portrait rights;

[1753] a means of issuing an alert if a breach is detected;

[1754] A means of preserving evidence of the infringement situation;

[1755] means for recognizing a user's emotion;

[1756] A means to tailor notifications and alerts based on emotional state; and

[1757] A system including:

[1758] (Claim 2)

[1759] 10. The system of claim 1, further comprising means for generating an identifier for identifying said copyrighted or likeness work.

[1760] (Claim 3)

[1761] The system of claim 1 , wherein the crawling targets websites, social networking services, and blogs. [Explanation of symbols]

[1762] 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. the means of registering copyrighted works and portraits; A means of crawling content on the Internet to detect copyright and portrait rights infringement; a means of issuing an alert if a breach is detected; A means of preserving evidence of the infringement situation; A system including:

2. 10. The system of claim 1, further comprising means for generating an identifier for identifying said copyrighted or likeness work.

3. The system according to claim 1 , wherein the crawling targets are websites, social networking sites, and blogs.

Images