system

Abstract

Provide a system. means for receiving image data via a data input device; means for analyzing the image data using an image analysis device to recognize at least one object; means for generating a story based on the analysis results using a text generator; A means for designing a layout by combining image data and the generated story; means for generating an electronic book file based on the layout; means for outputting the electronic book file; A system including:

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] Traditional picture book creation methods involve a lot of manual work, which takes a lot of time and money, and it is difficult to translate children's drawings and ideas into reality. Furthermore, the process limits opportunities for parents and children to deepen their creative interactions. Furthermore, many of the steps require specialized knowledge, making it difficult to carry out at home. To solve these issues, a system is needed that allows children to easily create picture books based on their own drawings. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a system including: means for receiving image data via a data input device; means for analyzing the image data using an image analysis device and recognizing at least one object; means for generating a story based on the analysis results using a text generation device; means for designing a layout by combining the image data and the generated story; means for generating an e-book file based on the layout; and means for outputting the e-book file. This system allows children to easily and quickly create picture books from their drawings, fostering creativity and deepening the bond between parents and children.

[0006] A "data input device" is a device for acquiring and transmitting image data to a processing system.

[0007] An "image analysis device" is a device that analyzes input image data and recognizes objects and features contained in the image.

[0008] A "text generator" is a device that generates narratives or explanatory text based on the analysis results.

[0009] The "layout design means" is a means for automatically designing a page layout by combining the analyzed image data with the generated text.

[0010] An "electronic book file" is a file in a format that allows a layout combining images and text to be electronically displayed and saved.

[0011] The "output means" is a means for providing the generated e-book file in a format that can be accessed by the user.

[0012] "Image data" refers to digital picture data that a user provides to the system via a data input device.

[0013] An "object" is a specific element or item that can be recognized within image data.

[0014] "Narrative" refers to the content of text generated based on the results of image analysis, and includes stories. [Brief explanation of the drawings]

[0015] [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

[0016] 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.

[0017] First, the terms used in the following description will be explained.

[0018] 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).

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] The present invention is a system that receives children's drawings as input and compiles them into a picture book. This system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, and an output means.

[0037] ---

[0038] The present invention is implemented mainly in the following procedure.

[0039] 1. Receiving image data

[0040] A user uses a data input device such as a smartphone or tablet to take a picture of a child's drawing and upload the image data to the system. For example, a parent can take a picture of their child's drawing and send it using a dedicated application.

[0041] 2. Saving image data

[0042] The server temporarily stores the received image data and immediately passes the image data to the image analysis device.

[0043] 3. Image Analysis

[0044] The server uses an image analysis device to analyze the input image data. This analysis automatically recognizes objects and features contained in the image. For example, it can identify natural objects such as squirrels, trees, and grass.

[0045] 4. Narrative Generation

[0046] The server uses a text generator to generate a story based on the image analysis results, for example, based on an image of a squirrel and a landscape of trees, a story called "The Great Adventure of a Squirrel" is created.

[0047] 5. Layout design

[0048] The server uses a layout design tool to combine the image data with the generated story and design the page layout of the picture book, which ensures that the images and text are properly arranged to create an easy-to-read picture book.

[0049] 6. Generate e-book file

[0050] The server generates the final e-book file based on the designed layout, in a format selected from PDF and e-book formats (e.g., ePub).

[0051] 7. Export e-book files

[0052] The server stores the generated e-book file and provides the user with a download link, which the user can click to download, view, and print the e-book file.

[0053] ---

[0054] As an example, consider the case where a child draws a picture of a squirrel playing in the forest. A parent takes a photo of the picture using a dedicated application and uploads it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. A text generator then creates a story called "The Squirrel's Great Adventure," and a layout designer combines the story and images to create the pages of the picture book. Finally, the server generates a PDF picture book and provides a download link to the user. The user can download the e-book and view it on a tablet or print it out to enjoy as a picture book.

[0055] The above is an embodiment of the present invention.

[0056] The processing flow will be explained below.

[0057] Step 1:

[0058] The user uses the data input device on their smartphone or tablet to take a photo of their hand-drawn drawing and acquire the image data. They then open the dedicated application, activate the camera, and take a photo of the drawing. Once the photo is taken, they tap the "Upload" button.

[0059] Step 2:

[0060] The device sends the image data to the server, which then uploads the image data to the server via the internet using a dedicated application.

[0061] Step 3:

[0062] The server receives the image data and temporarily stores it in storage. The server checks the format of the received image data and stores it in a format that can be analyzed.

[0063] Step 4:

[0064] The server passes the image data to the image analyzer, which then analyzes the image content and identifies key objects and scenes, such as squirrels, trees, and forests, and assigns them as tags.

[0065] Step 5:

[0066] The server passes the analysis results to a text generator and instructs it to generate a story. The text generator creates an appropriate story based on the image analysis results. For example, it generates a story called "The Great Adventure of a Squirrel" based on a squirrel and its surrounding objects.

[0067] Step 6:

[0068] The server activates the layout design means, which combines the images and the generated story to design the page layout of the picture book. The layout design means appropriately arranges the images and text, automatically generating an easy-to-read layout.

[0069] Step 7:

[0070] The server generates the final picture book as an e-book file, and creates e-book files in PDF or ePub format based on the designed layout.

[0071] Step 8:

[0072] The server saves the generated e-book file and creates a download link that the user can access. After the file is completely generated and saved, the user is notified of the download link.

[0073] Step 9:

[0074] The user receives the download link on their device and clicks the link to download the e-book file, which they can then view and print if necessary.

[0075] Example 1

[0076] 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."

[0077] There is a need to easily compile drawings by children who love drawing into e-books and compose them into a story. To meet this need, an efficient system is required that can analyze hand-drawn drawings, generate an appropriate story, and output it as an e-book.

[0078] 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.

[0079] In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for generating a story based on the analysis results using a text generation device, means for designing a layout by combining the image data and the generated story, means for generating an e-book file based on the layout, means for outputting the e-book file, means for generating a story based on a prompt sentence using the generative AI model, means for inputting image data via the user interface and instructing story generation, and means for saving the analysis results and the story via the server. This enables automatic analysis and story generation based on children's hand-drawn drawings, and makes it possible to easily compile them into an e-book.

[0080] A "data input device" is a device that allows a user to input image data and related information, and includes smartphones and tablets.

[0081] "Image data" refers to digital images, including children's hand-drawn drawings, that users upload to the system via input devices.

[0082] An "image analysis device" is hardware or software that analyzes input image data and recognizes the objects and features contained therein.

[0083] A "text generation device" is a device that automatically generates a story based on the analysis results from an image analysis device, and may use a generative AI model.

[0084] The "analysis results" are information about objects and features obtained by the image analysis device analyzing image data.

[0085] A "story" is a narrative text based on image data, generated by a text generator.

[0086] The "layout design means" is a device or software that combines image data with the generated story and designs the page layout of the e-book.

[0087] An "e-book file" is a digital book file generated based on a designed layout, including PDF format and e-book format (e.g., ePub).

[0088] A "generative AI model" is an artificial intelligence model for generating text and stories based on prompts.

[0089] A "prompt sentence" is an instruction sentence that is input into a generative AI model, and serves as a cue when generating a story based on the analysis results.

[0090] A "user interface" is an interface through which a user interacts with a system, and corresponds to an application screen or a web interface.

[0091] The "server" is a central processing unit that performs various processes for the system, and manages the storage and analysis of image data, story generation, layout design, and the generation and output of e-book files.

[0092] The present invention is a system that receives children's drawings as input and compiles them into an e-book. The system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, and an output means.

[0093] System Configuration

[0094] 1. Data entry device

[0095] Users use a data input device such as a smartphone or tablet to take a picture of a drawing their child has made. For example, a parent can use a dedicated application to take a picture of their child's drawing and upload the image data to the system. At this time, they can also attach a title and a brief description of the drawing.

[0096] 2. Saving image data

[0097] The server temporarily stores the image data sent by the user in cloud storage (e.g., Amazon S3). Meta information of the stored image data (user ID, upload time, title, etc.) is recorded in a database.

[0098] 3. Image Analysis

[0099] The server uses an image analysis device (e.g., Google® Cloud Vision API) to analyze the image data and recognize the objects and features it contains. The analysis results are returned to the server in JSON format and stored in a database.

[0100] 4. Narrative Generation

[0101] The server uses a text generator (e.g., OpenAI's GPT-3) to generate a story based on the image analysis results. For example, based on an image of a squirrel and a landscape of trees, a story called "The Squirrel's Great Adventure" is created. A prompt sentence is then input into the generative AI model.

[0102] Example prompt sentence:

[0103] "Upload a child's drawing of a squirrel and generate a story based on the analysis results."

[0104] "Create a story that fits the squirrel illustration you analyzed and create a PDF picture book."

[0105] 5. Layout design

[0106] The server uses a layout design tool (e.g., Adobe InDesign Server) to combine the image data with the generated story and design the page layout of the picture book. It determines the placement of headings, text, and images, and creates an easy-to-read picture book.

[0107] 6. Generate e-book file

[0108] The server generates the final e-book file based on the designed layout. The file format can be PDF or an e-book format (ePub, etc.), and the generated e-book file is stored in cloud storage.

[0109] 7. Export e-book files

[0110] The server provides the user with a download link for the e-book file, for example, by email or in-app notification. The user clicks the link to download the e-book file, and can enjoy it by viewing it on a tablet or printing it out on a printer.

[0111] Specific examples

[0112] For example, consider the case where a child draws a picture of a squirrel playing in the forest. A parent takes a photo of the picture using a dedicated application and uploads it to the system. The server uses an image analyzer to recognize objects such as squirrels, trees, and forests. A text generator then creates a story called "The Squirrel's Great Adventure," and a layout designer combines the story and images to create the pages of the picture book. Finally, the server generates a PDF picture book and provides a download link to the user. The user can download the e-book and view it on a tablet or print it out to enjoy as a picture book.

[0113] This system allows children to easily create picture books that utilize their creativity and can be enjoyed by many users.

[0114] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0115] Step 1:

[0116] The user uses a smartphone or tablet to launch the dedicated application. Within the application, the camera function is used to take a picture of the child's drawing. Input: The captured image data. Output: The image data is saved on the smartphone.

[0117] Step 2:

[0118] The user enters a title and a brief description for the captured image and taps the "Upload" button. Input: Image data, title, description. Output: Image data and meta information sent to the server.

[0119] Step 3:

[0120] The server receives image data and meta information sent by the user through a dedicated API. Input: Image data and meta information sent by the user. Output: Image data temporarily stored in cloud storage, meta information recorded in a database.

[0121] Step 4:

[0122] The server passes the URL of the saved image data to the image analyzer. The image analyzer (e.g., Google Cloud Vision API) analyzes the image data and recognizes the objects and features contained in the image (e.g., squirrels, trees, forests). Input: URL of the image data. Output: Analysis results (information on recognized objects and features).

[0123] Step 5:

[0124] The server receives the analysis results returned from the image analysis device and stores them in a database. Input: Analysis results from the image analysis device. Output: Analysis results stored in the database.

[0125] Step 6:

[0126] The server sends a prompt to the generative AI model (e.g., OpenAI's GPT-3) based on the analysis results. Example prompt: "Based on an image of a squirrel and a landscape of trees, please create a story about a squirrel's great adventure." Input: Analysis results, prompt. Output: Story text generated by the generative AI model.

[0127] Step 7:

[0128] The server receives the story text returned from the text generator and stores it in a database. Input: Story text from the generative AI model. Output: Story text stored in the database.

[0129] Step 8:

[0130] The server passes the image data and story text to a layout design tool (e.g. Adobe InDesign Server) to design the page layout of the e-book. Input: Image data, story text. Output: E-book layout data.

[0131] Step 9:

[0132] The server receives the layout data returned from the layout design means and stores it in a database. Input: Layout data from the layout design means. Output: Layout data stored in the database.

[0133] Step 10:

[0134] The server generates an e-book file based on the saved layout data. The file format can be PDF or ePub. Input: Layout data. Output: Generated e-book file.

[0135] Step 11:

[0136] The server saves the generated e-book file in cloud storage and provides a download link to the user. Input: e-book file. Output: download link provided to the user.

[0137] Step 12:

[0138] The user clicks the provided link to download the e-book file. They can then enjoy it by viewing it on their tablet or printing it out. Input: Download link. Output: E-book file saved on the user's device.

[0139] (Application example 1)

[0140] 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."

[0141] There is a lack of means to generate original picture books in real time based on children's drawings and allow parents and children to enjoy them together in physical stores. Existing systems separate the process from uploading images to generating the story, designing the layout, outputting the electronic file, and printing, making it difficult to realize a complete experience in real time.

[0142] 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.

[0143] In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for generating a story based on the analysis results using a text generation device, means for designing a layout by combining the image data and the generated story, means for generating an electronic file based on the layout, means for outputting the electronic file, means for transmitting the generated electronic file to a printing device, and means for receiving the image data via an interactive terminal and processing it in real time. This allows an original picture book to be generated in real time based on pictures drawn by children, enabling a consistent experience that parents and children can enjoy on the spot.

[0144] A "data input device" is a device that allows a user to input image data or other information.

[0145] "Image data" is digital data in a file format that contains visual information.

[0146] An "image analysis device" is a device that analyzes image data and automatically identifies and recognizes its components and features.

[0147] "Object" is a term that refers to a specific person, animal, object, etc. contained in an image.

[0148] A "text generator" is a device that generates sentences in natural language based on the analysis results.

[0149] A "story" is a written text that describes a series of events or the actions of characters.

[0150] "Layout design" is the process of combining multiple elements (images, text, etc.) to create a visually neat arrangement.

[0151] An "electronic file" is a document or image file stored in digital format.

[0152] An "output device" is a device that converts the generated electronic file into a format usable by the user and displays or prints it.

[0153] An "interactive terminal" is a terminal that can be directly operated by a user and that can input and process data in real time.

[0154] "Real-time processing" refers to a series of processes in which data is input, analyzed, processed, and the results are output immediately.

[0155] A "printing device" is a device that prints information in digital form onto a physical medium (such as paper).

[0156] This invention is a system that receives pictures drawn by children as input, generates original picture books based on the drawings, and provides them to parents and children in real time at a physical store. Specific embodiments of this system will be described below.

[0157] Hardware and software used

[0158] Data input device: Interactive terminal (tablet or dedicated camera)

[0159] Image analysis equipment: Computer vision software (e.g., OpenCV) installed on a server

[0160] Text generator: Natural language processing model (e.g. GPT-3)

[0161] Layout design tool: Report generation library (e.g. ReportLab)

[0162] Printing device: High-speed printer

[0163] Server software: Software that integrates image recognition, text generation, layout design, and electronic file generation

[0164] Specific processing procedures of the system

[0165] 1. Receiving image data

[0166] The server receives image data of children's drawings uploaded by users via the interactive terminal. The terminal has a function to take a picture of the drawing with a camera and send the image data to the server.

[0167] 2. Saving image data

[0168] The server temporarily stores the received image data and immediately passes it to the image analysis device. At this time, the storage folder is managed in a database.

[0169] 3. Image Analysis

[0170] The server uses an image analysis device (e.g., OpenCV) to analyze the input image data. This analysis automatically recognizes objects and features contained in the image. Typically, natural objects such as squirrels and trees are identified.

[0171] 4. Narrative Generation

[0172] The server uses a text generator (e.g., GPT-3) to generate a story based on the image analysis results. Based on the analysis results, a prompt sentence is generated and input to GPT-3, which outputs the story.

[0173] 5. Layout design

[0174] The server uses a layout design tool (e.g., ReportLab) to design a page layout that combines the image data and the generated story, resulting in an easy-to-read picture book.

[0175] 6. Generating electronic files

[0176] The server generates the final electronic file based on the designed layout, in PDF or printable format.

[0177] 7. Output of electronic files

[0178] The server then sends the generated electronic file to the interactive terminal's printer, where it is printed on the spot. Through this process, children's original picture books are generated and printed in real time.

[0179] Examples and prompts

[0180] As a concrete example, consider the case where a child draws a picture of a squirrel playing in the forest. A parent uses an interactive device to take a photo of the picture and upload it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. After that, a text generator creates a story called "The Great Adventure of the Squirrel," and a layout designer combines the story and the image to create the pages of the picture book. Finally, the server generates a picture book in PDF format and sends it to the printer of the interactive device to print.

[0181] Example prompt sentence:

[0182] "Here's a picture of a squirrel. It depicts trees and a squirrel playing in the forest. Please generate a story with this squirrel as the main character."

[0183] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0184] Step 1:

[0185] The user uses an interactive device to take a picture of the child's drawing and upload the image data to the server. Specifically, the user launches the device's camera app, takes a picture, and sends the image data to the server via a dedicated application. In this process, the device receives the image data as input and sends it to the server as an HTTP request.

[0186] Step 2:

[0187] The server temporarily saves the received image data. Specifically, it stores the image data in a save folder and records the file path in a database. The input of this step is the image data, and the output is a database entry that stores the file path of the saved image data and that information.

[0188] Step 3:

[0189] The server uses an image analyzer to analyze the stored image data. Specifically, it uses a computer vision library such as OpenCV to extract features of objects in the image (e.g., squirrels and trees). The input to this step is the file path of the image data, and the output is information about the analyzed objects (e.g., "squirrel," "tree," "sky").

[0190] Step 4:

[0191] The server generates a story using a text generator based on the analysis results. Specifically, the object information obtained from image analysis is compiled into a prompt sentence, which is then input into GPT-3 to generate a story. The input is the object information from the analysis results and the prompt sentence, and the output is the generated text story. For example, a prompt sentence such as "This is a picture of a squirrel. It depicts a squirrel playing in a forest with trees. Please generate a story with this squirrel as the main character" can be input into GPT-3 to generate a story.

[0192] Step 5:

[0193] The server combines the generated story and image data and generates an electronic file using a layout design tool. Specifically, it uses a report generation library such as ReportLab to combine the story text and images into a PDF file. The input is the image data and the generated story text, and the output is an electronic file in PDF format.

[0194] Step 6:

[0195] The server outputs the generated electronic file and sends it to the printer of the interactive terminal. Specifically, it uses a dedicated printer communication protocol to transfer the PDF format electronic file to the printer and start the printing process. The input is the PDF format electronic file, and the output is a physical picture book.

[0196] The above steps create a system that generates original picture books in real time based on children's drawings, allowing parents and children to enjoy them in a physical store.

[0197] 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.

[0198] The present invention is a system that receives children's drawings as input and compiles them into a picture book, and further combines it with an emotion engine to recognize the user's emotions and adjust the story content based on those emotions. This system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, an output means, and an emotion engine.

[0199] ---

[0200] The present invention is implemented mainly in the following procedure.

[0201] 1. Receiving image data

[0202] The user uses a data input device such as a smartphone or tablet to take a photo of the child's drawing and upload the image data to the system. They open the dedicated application, activate the camera, take a photo of the drawing, and tap the "Upload" button.

[0203] 2. Saving image data

[0204] The server temporarily stores the received image data and immediately passes the image data to the image analysis device.

[0205] 3. Image Analysis

[0206] The server uses an image analysis device to analyze the input image data and identify key objects and scenes, such as squirrels, trees, and forests, and assigns them as tags.

[0207] 4. User Emotion Recognition

[0208] The server uses the emotion engine to recognize the user's face through the camera on the user's smartphone or tablet and analyze the user's emotion. For example, if the user is smiling, the emotion engine recognizes this as "joy."

[0209] 5. Narrative Generation

[0210] The server uses a text generator to generate a story based on the image analysis results and the user's recognized emotion. For example, it creates a positive and joyful story based on an image of a squirrel and the user's emotion of "joy."

[0211] 6. Layout design

[0212] The server uses a layout designing means to combine the image data and the generated story to design the page layout of the picture book, which results in the appropriate arrangement of images and text, creating an easy-to-read picture book.

[0213] 7. Generate e-book file

[0214] The server generates the final e-book file based on the designed layout, in a format selected from PDF and e-book formats (e.g., ePub).

[0215] 8. Export e-book files

[0216] The server stores the generated e-book file and provides the user with a download link, which the user can click to download, view, and print the e-book file.

[0217] ---

[0218] For example, if a child draws a picture of a squirrel playing in the forest, a parent can take a photo of the drawing using a dedicated application and upload it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. The server then uses an emotion engine to recognize the user's face and identify the user's emotion as "joy." A text generator then generates a positive story, "A Squirrel's Fun Adventure," based on the image of the squirrel and the user's emotion of "joy."

[0219] The layout design tool combines the story and images to design the pages, and finally the server generates a picture book in PDF format and provides a download link to the user. The user can download the e-book, view it on a tablet, or print it out and enjoy it as a picture book. In this way, an original picture book that reflects the user's emotions can be created easily and quickly.

[0220] The processing flow will be explained below.

[0221] Step 1:

[0222] The user uses the data input device on their smartphone or tablet to take a photo of their hand-drawn drawing and acquire the image data. They then open the dedicated application, activate the camera, and take a photo of the drawing. Once the photo is taken, they tap the "Upload" button.

[0223] Step 2:

[0224] The device sends the image data to the server, which then uploads the image data to the server via the internet using a dedicated application.

[0225] Step 3:

[0226] The server receives the image data and temporarily stores it in storage. The server checks the format of the received image data and stores it in a format that can be analyzed.

[0227] Step 4:

[0228] The server passes the image data to the image analyzer, which then analyzes the image content and identifies key objects and scenes, such as squirrels, trees, and forests, and assigns them as tags.

[0229] Step 5:

[0230] The server uses the emotion engine to recognize the user's face through the camera on the user's smartphone or tablet and analyze the user's emotions. For example, if the user is smiling, the emotion engine will recognize this as "joy."

[0231] Step 6:

[0232] The server uses a text generator to generate a story based on the image analysis results and the user's recognized emotions. For example, a positive and fun story is created based on an image of a squirrel and the user's emotion of "joy."

[0233] Step 7:

[0234] The server activates the layout design means, which combines the images and the generated story to design the page layout of the picture book. The layout design means appropriately arranges the images and text, automatically generating an easy-to-read layout.

[0235] Step 8:

[0236] The server generates the final picture book as an e-book file, and creates e-book files in PDF or ePub format based on the designed layout.

[0237] Step 9:

[0238] The server saves the generated e-book file and creates a download link that the user can access. After the file is completely generated and saved, the user is notified of the download link.

[0239] Step 10:

[0240] The user receives the download link on their device and clicks the link to download the e-book file, which they can then view and print if necessary.

[0241] Example 2

[0242] 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."

[0243] Conventional picture book generation systems simply analyze image data input by a user to generate a story, but are unable to adjust the content of the story to take the user's emotions into account. This makes it difficult to provide more appealing content tailored to the user's emotions. Furthermore, when using hand-drawn pictures as the basis, specified objects and scenes may not be properly reflected. To address these issues, the present invention provides a system that recognizes a user's emotions and generates a story based on them.

[0244] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for recognizing a user's emotion, means for generating a story based on the analysis result and the user's emotion using a text generation device, means for designing a layout by combining the image data and the generated story, means for generating an e-book file based on the layout, and means for outputting the e-book file. This makes it possible to generate a story according to the user's emotion and to create an attractive e-book that more appropriately reflects hand-drawn pictures.

[0245] A "data input device" is a device that allows a user to input image data into a system, and includes smartphones and tablets.

[0246] An "image analysis device" is a device that analyzes received image data and identifies key objects and scenes.

[0247] The "means for recognizing the user's emotions" is a means for recognizing the user's face through a camera and analyzing the user's emotional state.

[0248] A "text generator" is a device that generates a story based on analysis results and user emotions, and includes a generative AI model.

[0249] The "layout designing means" is a means for combining image data with the generated story to design an easy-to-read page layout for a picture book.

[0250] "Means for generating an e-book file" refers to means for generating the final file of an e-book based on the designed layout, including output in PDF format or e-book format (e.g., ePub).

[0251] The "means for outputting an e-book file" refers to a means for saving the generated e-book file and providing a download link to the user.

[0252] "Image data" refers to data including a child's drawing entered by the user.

[0253] A "story" is a text generated based on image analysis and user emotion recognition.

[0254] MODE FOR CARRYING OUT THE INVENTION

[0255] The present invention is a system that receives children's drawings as input and compiles them into a picture book, and further combines it with an emotion engine to recognize the user's emotions and adjust the story content based on those emotions. This system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, an output means, and an emotion engine.

[0256] Hardware and software used

[0257] Hardware

[0258] Smartphone

[0259] tablet

[0260] server

[0261] software

[0262] Dedicated application

[0263] Image analysis device (e.g., Google Cloud Vision API)

[0264] Text generator (e.g., GPT-4 (registered trademark))

[0265] Layout design method (e.g. Adobe InDesign)

[0266] E-book file generator (e.g., Calibre)

[0267] Emotion engine (e.g., Microsoft® Azure® Emotion API)

[0268] Explanation of the specific processing of the system

[0269] User

[0270] Users use a dedicated application on their smartphone or tablet to take a picture of their child's drawing and upload it to the system. For example, a user opens the dedicated application, activates the camera, takes a picture of a child's drawing of a squirrel, and taps the "upload" button.

[0271] server

[0272] The server temporarily stores the image data uploaded by the user, assigns a unique ID, and records it in a database.

[0273] Image analysis equipment

[0274] The server uses an image analysis device to analyze the input image data and identify key objects and scenes, such as squirrels, trees, and forests, and returns the images to the server with tags.

[0275] Emotion Engine

[0276] The server uses the emotion engine to recognize the user's face through the camera on their smartphone or tablet and analyze their emotions. For example, if the user is smiling, it will recognize this as "joy."

[0277] Text Generator

[0278] The server generates a story using a text generator based on the results of image analysis and sentiment analysis. The following prompt is input to the generative AI model: "Generate a positive story drawn by a child called 'A Squirrel's Fun Adventure' using the following keywords: squirrel, forest, tree, joy, adventure."

[0279] Layout Design Method

[0280] The server uses a layout design tool to combine the generated story and image data and design a page layout, for example, using an InDesign template to arrange images and text in a readable manner.

[0281] E-book file generation method

[0282] The server generates the final e-book file based on the layout you designed, and you can choose the file format, such as PDF or ePub.

[0283] Output Method

[0284] The server stores the generated e-book file and provides the user with a download link, which the user can click to download, view, and print the e-book file.

[0285] For example, if a child draws a picture of a squirrel playing in the forest, a parent can take a photo of the picture using a dedicated application and upload it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. The server then uses an emotion engine to recognize the user's face and identify the user's emotion as "joy." A text generator generates a positive story called "The Squirrel's Fun Adventure" based on the image of the squirrel and the user's emotion of "joy." A layout designer combines the story and the image to design pages. Finally, the server generates a PDF picture book and provides a download link to the user. The user can download the e-book, view it on a tablet, or print it out and enjoy it as a picture book. In this way, original picture books that reflect the user's emotions can be created easily and quickly.

[0286] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0287] Step 1:

[0288] The user opens a dedicated application on their smartphone or tablet. They activate the camera within the application and take a picture of the drawing their child has made. Once the picture has been taken, they tap the "Upload" button. The input is the image data of the drawing their child has made, and the output is the data sent to the server.

[0289] Step 2:

[0290] The server temporarily stores the image data uploaded by the user. The input is the image data sent in step 1, and the output is the stored data and its unique ID. Specifically, the server assigns a unique ID to the image data and records it in the database.

[0291] Step 3:

[0292] The server uses an image analysis device to analyze the input image data. The input is the stored image data, and the output is tag information for the objects and scenes identified through the analysis. Specifically, the server sends the image data to the image analysis device, which identifies objects such as squirrels, trees, and forests, and assigns tags to them.

[0293] Step 4:

[0294] The server uses the emotion engine to recognize the user's face through the camera on the user's smartphone or tablet and analyze their emotions. The input is the user's facial image, and the output is the emotion analysis result. Specifically, the server captures the user's facial image and sends it to the emotion engine to obtain the emotion analysis result, such as "joy."

[0295] Step 5:

[0296] The server generates a story using a text generator based on the image analysis and sentiment analysis results. The input is the image analysis and sentiment analysis results, and the output is the text of the generated story. Specifically, the server sends the generative AI model a prompt: "Generate a positive story called 'A Squirrel's Fun Adventure' drawn by a child using the following keywords. Keywords: squirrel, forest, tree, joy, adventure," and has the model generate the story.

[0297] Step 6:

[0298] The server uses a layout design tool to combine image data and the generated story to design the page layout of the picture book. The input is the story text and image data, and the output is the designed layout. Specifically, the server uses an InDesign template to appropriately arrange the story text and images.

[0299] Step 7:

[0300] The server generates the final e-book file based on the designed layout. The input is the designed layout, and the output is the e-book file (PDF or ePub format). Specifically, the server exports the InDesign file to PDF or ePub format.

[0301] Step 8:

[0302] The server saves the generated e-book file and provides the user with a download link. The input is the generated e-book file, and the output is the download link. Specifically, the server sends the download link to the user by email or displays it in a dedicated app. When the user clicks the link, the e-book file can be downloaded.

[0303] (Application example 2)

[0304] 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."

[0305] Conventional factory training systems do not adjust or adapt content according to the emotional state of workers, resulting in stress and anxiety, reduced work efficiency, and reduced educational effectiveness. Furthermore, one-sided training content that does not take emotions into account reduces trainee motivation and reduces learning retention. To solve these issues, a system is needed that can recognize workers' emotional states in real time and provide appropriate training content accordingly.

[0306] 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.

[0307] In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for analyzing the emotional state of a user using an emotion recognition device, means for generating a story or instructions based on the analysis result and the emotional state using a text generation device, means for designing a layout by combining the image data and the generated story or instructions, means for generating an electronic file based on the layout, and means for outputting the electronic file. This makes it possible to automatically generate and provide educational content according to the emotional state of workers, which is expected to reduce stress for workers and improve learning efficiency.

[0308] A "data input device" is a device that allows a user to input image data into the system, and includes a camera or scanner.

[0309] An "image analysis device" is a device that analyzes input image data, recognizes objects in the image, and identifies them.

[0310] An "emotion recognition device" is a device that uses cameras and sensors to analyze and recognize the user's emotional state.

[0311] A "text generator" is a device that generates narrative or instructional content based on analyzed image data and emotional states.

[0312] The "layout design means" is a means for designing a display format by combining the generated story or instruction content with image data.

[0313] The "electronic file generating means" is a means for generating an electronic file based on a designed layout.

[0314] "Output means" refers to a means for providing the generated electronic file to the user, including downloading via a link and displaying it directly on a display.

[0315] The present invention is designed as a training and communication support system for factories. The system includes the following main components:

[0316] Data Entry Devices:

[0317] This is a device that allows users to input image data into a system. For example, there is a device that uses a camera to capture the facial expressions and working conditions of factory workers. Image data is collected by activating the camera and taking pictures of the workplace and the faces of workers.

[0318] Image analysis equipment:

[0319] The server analyzes the input image data and recognizes objects and scenes within the image. Specifically, it identifies objects such as the faces of workers and factory equipment and assigns them as tags. This makes it possible to identify which worker is operating which equipment.

[0320] Emotion recognition device:

[0321] The server uses a camera to recognize the user's face and analyzes their emotions using an emotion engine. This device analyzes in real time whether the user is smiling, anxious, stressed, etc., and identifies their emotional state.

[0322] Text Generator:

[0323] The server uses a generative AI model to generate stories and instructions based on the image analysis results and the worker's recognized emotional state. For example, if a worker is feeling stressed, the server will provide instructions to help them relax or a story to lighten their mood.

[0324] Layout design methods:

[0325] The server combines the generated story and instructions with image data to design a layout, which ensures that text and images are properly arranged to create an easy-to-read document.

[0326] Electronic file generation method:

[0327] The server generates an electronic file based on the designed layout, and the generated electronic file is output in a format that is easy for users to view, such as a PDF or e-book format.

[0328] Output Method:

[0329] The server includes a means for providing the generated electronic file to the user, who can then click a download link to obtain the electronic file and view it on a tablet or computer, or print it out for use.

[0330] Examples:

[0331] For example, to reduce the stress workers feel when operating complex machinery, the robot inputs the details of the work. The robot uses a camera to recognize the worker's face and detects the worker's level of "stress" using an emotion engine. Depending on the worker's level of stress, the robot generates a work manual in an easy-to-understand, relaxing format and provides it as an e-book.

[0332] Example prompt sentence:

[0333] Emotional states based on facial recognition data and factory-manually generated prompts

[0334] Current emotional state: {emotion}

[0335] Work: {manual}

[0336] Soft-spoken: Yes

[0337] This makes it possible to automatically generate and provide educational content that corresponds to the emotional state of workers, which is expected to reduce worker stress and improve learning efficiency.

[0338] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0339] Step 1:

[0340] A user uses a data input device (e.g., a camera) to input image data into the system. The user takes pictures of factory workers' facial expressions and the state of their work, and uploads the image data to the system. The input data includes images of the workers' faces and images of the work scene. This allows the system to obtain image data to be analyzed.

[0341] Step 2:

[0342] The server temporarily stores the image data received from the data input device and immediately passes it to the image analysis device. The image analysis device analyzes the image data and recognizes objects and scenes in the image. Specifically, it identifies the faces of workers and factory equipment and assigns them tags. The output is tag information for the recognized objects and scenes.

[0343] Step 3:

[0344] The server uses an emotion recognition device to analyze the worker's face in the image data and recognize the worker's emotional state. Based on the facial image input from the camera, the server uses an emotion engine to analyze the user's emotions. For example, it analyzes in real time whether the user is smiling, anxious, or stressed, and identifies the user's emotional state. The recognized emotional state is obtained as an output.

[0345] Step 4:

[0346] The server uses a text generator to generate a story or instructions based on the image analysis results and the recognized emotional state. Specifically, a generative AI model is used to input a prompt and automatically generate appropriate instructions or a story. For example, if the emotional state is "stressed," it provides instructions for relaxation or a story that lightens the mood. The generated story or instructions are obtained as output.

[0347] Step 5:

[0348] The server combines the generated story or instruction content with the image data to design a layout. Using the layout design means, the generated content and image data are appropriately arranged and arranged into an easy-to-read document format. The designed layout information is obtained as an output.

[0349] Step 6:

[0350] The server generates an electronic file based on the layout design information, and uses the electronic file generation means to create a file in PDF format or e-book format, and obtains the completed electronic file as an output.

[0351] Step 7:

[0352] The server uses an output means to provide the generated electronic file to the user. The user obtains the electronic file via a download link and views it on a tablet or computer. The user can also print out the electronic file for further use. As an output, the server obtains an electronic file link that can be provided to the user.

[0353] 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.

[0354] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0355] 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.

[0356] [Second embodiment]

[0357] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0358] 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.

[0359] 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).

[0360] 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.

[0361] 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.

[0362] 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).

[0363] 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.

[0364] 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.

[0365] 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.

[0366] 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.

[0367] 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.

[0368] 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."

[0369] The present invention is a system that receives children's drawings as input and compiles them into a picture book. This system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, and an output means.

[0370] ---

[0371] The present invention is implemented mainly in the following procedure.

[0372] 1. Receiving image data

[0373] A user uses a data input device such as a smartphone or tablet to take a picture of a child's drawing and upload the image data to the system. For example, a parent can take a picture of their child's drawing and send it using a dedicated application.

[0374] 2. Saving image data

[0375] The server temporarily stores the received image data and immediately passes the image data to the image analysis device.

[0376] 3. Image Analysis

[0377] The server uses an image analysis device to analyze the input image data. This analysis automatically recognizes objects and features contained in the image. For example, it can identify natural objects such as squirrels, trees, and grass.

[0378] 4. Narrative Generation

[0379] The server uses a text generator to generate a story based on the image analysis results, for example, based on an image of a squirrel and a landscape of trees, a story called "The Great Adventure of a Squirrel" is created.

[0380] 5. Layout design

[0381] The server uses a layout design tool to combine the image data with the generated story and design the page layout of the picture book, which ensures that the images and text are properly arranged to create an easy-to-read picture book.

[0382] 6. Generate e-book file

[0383] The server generates the final e-book file based on the designed layout, in a format selected from PDF and e-book formats (e.g., ePub).

[0384] 7. Export e-book files

[0385] The server stores the generated e-book file and provides the user with a download link, which the user can click to download, view, and print the e-book file.

[0386] ---

[0387] As an example, consider the case where a child draws a picture of a squirrel playing in the forest. A parent takes a photo of the picture using a dedicated application and uploads it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. A text generator then creates a story called "The Squirrel's Great Adventure," and a layout designer combines the story and images to create the pages of the picture book. Finally, the server generates a PDF picture book and provides a download link to the user. The user can download the e-book and view it on a tablet or print it out to enjoy as a picture book.

[0388] The above is an embodiment of the present invention.

[0389] The processing flow will be explained below.

[0390] Step 1:

[0391] The user uses the data input device on their smartphone or tablet to take a photo of their hand-drawn drawing and acquire the image data. They then open the dedicated application, activate the camera, and take a photo of the drawing. Once the photo is taken, they tap the "Upload" button.

[0392] Step 2:

[0393] The device sends the image data to the server, which then uploads the image data to the server via the internet using a dedicated application.

[0394] Step 3:

[0395] The server receives the image data and temporarily stores it in storage. The server checks the format of the received image data and stores it in a format that can be analyzed.

[0396] Step 4:

[0397] The server passes the image data to the image analyzer, which then analyzes the image content and identifies key objects and scenes, such as squirrels, trees, and forests, and assigns them as tags.

[0398] Step 5:

[0399] The server passes the analysis results to a text generator and instructs it to generate a story. The text generator creates an appropriate story based on the image analysis results. For example, it generates a story called "The Great Adventure of a Squirrel" based on a squirrel and its surrounding objects.

[0400] Step 6:

[0401] The server activates the layout design means, which combines the images and the generated story to design the page layout of the picture book. The layout design means appropriately arranges the images and text, automatically generating an easy-to-read layout.

[0402] Step 7:

[0403] The server generates the final picture book as an e-book file, and creates e-book files in PDF or ePub format based on the designed layout.

[0404] Step 8:

[0405] The server saves the generated e-book file and creates a download link that the user can access. After the file is completely generated and saved, the user is notified of the download link.

[0406] Step 9:

[0407] The user receives the download link on their device and clicks the link to download the e-book file, which they can then view and print if necessary.

[0408] Example 1

[0409] 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."

[0410] There is a need to easily compile drawings by children who love drawing into e-books and compose them into a story. To meet this need, an efficient system is required that can analyze hand-drawn drawings, generate an appropriate story, and output it as an e-book.

[0411] 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.

[0412] In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for generating a story based on the analysis results using a text generation device, means for designing a layout by combining the image data and the generated story, means for generating an e-book file based on the layout, means for outputting the e-book file, means for generating a story based on a prompt sentence using the generative AI model, means for inputting image data via the user interface and instructing story generation, and means for saving the analysis results and the story via the server. This enables automatic analysis and story generation based on children's hand-drawn drawings, and makes it possible to easily compile them into an e-book.

[0413] A "data input device" is a device that allows a user to input image data and related information, and includes smartphones and tablets.

[0414] "Image data" refers to digital images, including children's hand-drawn drawings, that users upload to the system via input devices.

[0415] An "image analysis device" is hardware or software that analyzes input image data and recognizes the objects and features contained therein.

[0416] A "text generation device" is a device that automatically generates a story based on the analysis results from an image analysis device, and may use a generative AI model.

[0417] The "analysis results" are information about objects and features obtained by the image analysis device analyzing image data.

[0418] A "story" is a narrative text based on image data, generated by a text generator.

[0419] The "layout design means" is a device or software that combines image data with the generated story and designs the page layout of the e-book.

[0420] An "e-book file" is a digital book file generated based on a designed layout, including PDF format and e-book format (e.g., ePub).

[0421] A "generative AI model" is an artificial intelligence model for generating text and stories based on prompts.

[0422] A "prompt sentence" is an instruction sentence that is input into a generative AI model, and serves as a cue when generating a story based on the analysis results.

[0423] A "user interface" is an interface through which a user interacts with a system, and corresponds to an application screen or a web interface.

[0424] The "server" is a central processing unit that performs various processes for the system, and manages the storage and analysis of image data, story generation, layout design, and the generation and output of e-book files.

[0425] The present invention is a system that receives children's drawings as input and compiles them into an e-book. The system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, and an output means.

[0426] System Configuration

[0427] 1. Data entry device

[0428] Users use a data input device such as a smartphone or tablet to take a picture of a drawing their child has made. For example, a parent can use a dedicated application to take a picture of their child's drawing and upload the image data to the system. At this time, they can also attach a title and a brief description of the drawing.

[0429] 2. Saving image data

[0430] The server temporarily stores the image data sent by the user in cloud storage (e.g., Amazon S3). Meta information of the stored image data (user ID, upload time, title, etc.) is recorded in a database.

[0431] 3. Image Analysis

[0432] The server uses an image analysis device (e.g., Google Cloud Vision API) to analyze the image data and recognize the objects and features it contains. The analysis results are returned to the server in JSON format and stored in a database.

[0433] 4. Narrative Generation

[0434] The server uses a text generator (e.g., OpenAI's GPT-3) to generate a story based on the image analysis results. For example, based on an image of a squirrel and a landscape of trees, a story called "The Squirrel's Great Adventure" is created. A prompt sentence is input to the generative AI model.

[0435] Example prompt sentence:

[0436] "Upload a child's drawing of a squirrel and generate a story based on the analysis results."

[0437] "Create a story that fits the squirrel illustration you analyzed and create a PDF picture book."

[0438] 5. Layout design

[0439] The server uses a layout design tool (e.g., Adobe InDesign Server) to combine the image data with the generated story and design the page layout of the picture book. It determines the placement of headings, text, and images, and creates an easy-to-read picture book.

[0440] 6. Generate e-book file

[0441] The server generates the final e-book file based on the designed layout. The file format can be PDF or an e-book format (ePub, etc.), and the generated e-book file is stored in cloud storage.

[0442] 7. Export e-book files

[0443] The server provides the user with a download link for the e-book file, for example, by email or in-app notification. The user clicks the link to download the e-book file, and can enjoy it by viewing it on a tablet or printing it out on a printer.

[0444] Specific examples

[0445] For example, consider the case where a child draws a picture of a squirrel playing in the forest. A parent takes a photo of the picture using a dedicated application and uploads it to the system. The server uses an image analyzer to recognize objects such as squirrels, trees, and forests. A text generator then creates a story called "The Squirrel's Great Adventure," and a layout designer combines the story and images to create the pages of the picture book. Finally, the server generates a PDF picture book and provides a download link to the user. The user can download the e-book and view it on a tablet or print it out to enjoy as a picture book.

[0446] This system allows children to easily create picture books that utilize their creativity and can be enjoyed by many users.

[0447] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0448] Step 1:

[0449] The user uses a smartphone or tablet to launch the dedicated application. Within the application, the camera function is used to take a picture of the child's drawing. Input: The captured image data. Output: The image data is saved on the smartphone.

[0450] Step 2:

[0451] The user enters a title and a brief description for the captured image and taps the "Upload" button. Input: Image data, title, description. Output: Image data and meta information sent to the server.

[0452] Step 3:

[0453] The server receives image data and meta information sent by the user through a dedicated API. Input: Image data and meta information sent by the user. Output: Image data temporarily stored in cloud storage, meta information recorded in a database.

[0454] Step 4:

[0455] The server passes the URL of the saved image data to the image analyzer. The image analyzer (e.g., Google Cloud Vision API) analyzes the image data and recognizes the objects and features contained in the image (e.g., squirrels, trees, forests). Input: URL of the image data. Output: Analysis results (information on recognized objects and features).

[0456] Step 5:

[0457] The server receives the analysis results returned from the image analysis device and stores them in a database. Input: Analysis results from the image analysis device. Output: Analysis results stored in the database.

[0458] Step 6:

[0459] The server sends a prompt to the generative AI model (e.g., OpenAI's GPT-3) based on the analysis results. Example prompt: "Based on an image of a squirrel and a landscape of trees, please create a story about a squirrel's great adventure." Input: Analysis results, prompt. Output: Story text generated by the generative AI model.

[0460] Step 7:

[0461] The server receives the story text returned from the text generator and stores it in a database. Input: Story text from the generative AI model. Output: Story text stored in the database.

[0462] Step 8:

[0463] The server passes the image data and story text to a layout design tool (e.g. Adobe InDesign Server) to design the page layout of the e-book. Input: Image data, story text. Output: E-book layout data.

[0464] Step 9:

[0465] The server receives the layout data returned from the layout design means and stores it in a database. Input: Layout data from the layout design means. Output: Layout data stored in the database.

[0466] Step 10:

[0467] The server generates an e-book file based on the saved layout data. The file format can be PDF or ePub. Input: Layout data. Output: Generated e-book file.

[0468] Step 11:

[0469] The server saves the generated e-book file in cloud storage and provides a download link to the user. Input: e-book file. Output: download link provided to the user.

[0470] Step 12:

[0471] The user clicks the provided link to download the e-book file. They can then enjoy it by viewing it on their tablet or printing it out. Input: Download link. Output: E-book file saved on the user's device.

[0472] (Application example 1)

[0473] 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."

[0474] There is a lack of means to generate original picture books in real time based on children's drawings and allow parents and children to enjoy them together in physical stores. Existing systems separate the process from uploading images to generating the story, designing the layout, outputting the electronic file, and printing, making it difficult to realize a complete experience in real time.

[0475] 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.

[0476] In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for generating a story based on the analysis results using a text generation device, means for designing a layout by combining the image data and the generated story, means for generating an electronic file based on the layout, means for outputting the electronic file, means for transmitting the generated electronic file to a printing device, and means for receiving the image data via an interactive terminal and processing it in real time. This allows an original picture book to be generated in real time based on pictures drawn by children, enabling a consistent experience that parents and children can enjoy on the spot.

[0477] A "data input device" is a device that allows a user to input image data or other information.

[0478] "Image data" is digital data in a file format that contains visual information.

[0479] An "image analysis device" is a device that analyzes image data and automatically identifies and recognizes its components and features.

[0480] "Object" is a term that refers to a specific person, animal, object, etc. contained in an image.

[0481] A "text generator" is a device that generates sentences in natural language based on the analysis results.

[0482] A "story" is a written text that describes a series of events or the actions of characters.

[0483] "Layout design" is the process of combining multiple elements (images, text, etc.) to create a visually neat arrangement.

[0484] An "electronic file" is a document or image file stored in digital format.

[0485] An "output device" is a device that converts the generated electronic file into a format usable by the user and displays or prints it.

[0486] An "interactive terminal" is a terminal that can be directly operated by a user and that can input and process data in real time.

[0487] "Real-time processing" refers to a series of processes in which data is input, analyzed, processed, and the results are output immediately.

[0488] A "printing device" is a device that prints information in digital form onto a physical medium (such as paper).

[0489] This invention is a system that receives pictures drawn by children as input, generates original picture books based on the drawings, and provides them to parents and children in real time at a physical store. Specific embodiments of this system will be described below.

[0490] Hardware and software used

[0491] Data input device: Interactive terminal (tablet or dedicated camera)

[0492] Image analysis equipment: Computer vision software (e.g., OpenCV) installed on a server

[0493] Text generator: Natural language processing model (e.g. GPT-3)

[0494] Layout design tool: Report generation library (e.g. ReportLab)

[0495] Printing device: High-speed printer

[0496] Server software: Software that integrates image recognition, text generation, layout design, and electronic file generation

[0497] Specific processing procedures of the system

[0498] 1. Receiving image data

[0499] The server receives image data of children's drawings uploaded by users via the interactive terminal. The terminal has a function to take a picture of the drawing with a camera and send the image data to the server.

[0500] 2. Saving image data

[0501] The server temporarily stores the received image data and immediately passes it to the image analysis device. At this time, the storage folder is managed in a database.

[0502] 3. Image Analysis

[0503] The server uses an image analysis device (e.g., OpenCV) to analyze the input image data. This analysis automatically recognizes objects and features contained in the image. Typically, natural objects such as squirrels and trees are identified.

[0504] 4. Narrative Generation

[0505] The server uses a text generator (e.g., GPT-3) to generate a story based on the image analysis results. Based on the analysis results, a prompt sentence is generated and input to GPT-3, which outputs the story.

[0506] 5. Layout design

[0507] The server uses a layout design tool (e.g., ReportLab) to design a page layout that combines the image data and the generated story, resulting in an easy-to-read picture book.

[0508] 6. Generating electronic files

[0509] The server generates the final electronic file based on the designed layout, in PDF or printable format.

[0510] 7. Output of electronic files

[0511] The server then sends the generated electronic file to the interactive terminal's printer, where it is printed on the spot. Through this process, children's original picture books are generated and printed in real time.

[0512] Examples and prompts

[0513] As a concrete example, consider the case where a child draws a picture of a squirrel playing in the forest. A parent uses an interactive device to take a photo of the picture and upload it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. After that, a text generator creates a story called "The Great Adventure of the Squirrel," and a layout designer combines the story and the image to create the pages of the picture book. Finally, the server generates a picture book in PDF format and sends it to the printer of the interactive device to print.

[0514] Example prompt sentence:

[0515] "Here's a picture of a squirrel. It depicts trees and a squirrel playing in the forest. Please generate a story with this squirrel as the main character."

[0516] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0517] Step 1:

[0518] The user uses an interactive device to take a picture of the child's drawing and upload the image data to the server. Specifically, the user launches the device's camera app, takes a picture, and sends the image data to the server via a dedicated application. In this process, the device receives the image data as input and sends it to the server as an HTTP request.

[0519] Step 2:

[0520] The server temporarily saves the received image data. Specifically, it stores the image data in a save folder and records the file path in a database. The input of this step is the image data, and the output is a database entry that stores the file path of the saved image data and that information.

[0521] Step 3:

[0522] The server uses an image analyzer to analyze the stored image data. Specifically, it uses a computer vision library such as OpenCV to extract features of objects in the image (e.g., squirrels and trees). The input to this step is the file path of the image data, and the output is information about the analyzed objects (e.g., "squirrel," "tree," "sky").

[0523] Step 4:

[0524] The server generates a story using a text generator based on the analysis results. Specifically, the object information obtained from image analysis is compiled into a prompt sentence, which is then input into GPT-3 to generate a story. The input is the object information from the analysis results and the prompt sentence, and the output is the generated text story. For example, a prompt sentence such as "This is a picture of a squirrel. It depicts a squirrel playing in a forest with trees. Please generate a story with this squirrel as the main character" can be input into GPT-3 to generate a story.

[0525] Step 5:

[0526] The server combines the generated story and image data and generates an electronic file using a layout design tool. Specifically, it uses a report generation library such as ReportLab to combine the story text and images into a PDF file. The input is the image data and the generated story text, and the output is an electronic file in PDF format.

[0527] Step 6:

[0528] The server outputs the generated electronic file and sends it to the printer of the interactive terminal. Specifically, it uses a dedicated printer communication protocol to transfer the PDF format electronic file to the printer and start the printing process. The input is the PDF format electronic file, and the output is a physical picture book.

[0529] The above steps create a system that generates original picture books in real time based on children's drawings, allowing parents and children to enjoy them in a physical store.

[0530] 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.

[0531] The present invention is a system that receives children's drawings as input and compiles them into a picture book, and further combines it with an emotion engine to recognize the user's emotions and adjust the story content based on those emotions. This system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, an output means, and an emotion engine.

[0532] ---

[0533] The present invention is implemented mainly in the following procedure.

[0534] 1. Receiving image data

[0535] The user uses a data input device such as a smartphone or tablet to take a photo of the child's drawing and upload the image data to the system. They open the dedicated application, activate the camera, take a photo of the drawing, and tap the "Upload" button.

[0536] 2. Saving image data

[0537] The server temporarily stores the received image data and immediately passes the image data to the image analysis device.

[0538] 3. Image Analysis

[0539] The server uses an image analysis device to analyze the input image data and identify key objects and scenes, such as squirrels, trees, and forests, and assigns them as tags.

[0540] 4. User Emotion Recognition

[0541] The server uses the emotion engine to recognize the user's face through the camera on the user's smartphone or tablet and analyze the user's emotion. For example, if the user is smiling, the emotion engine recognizes this as "joy."

[0542] 5. Narrative Generation

[0543] The server uses a text generator to generate a story based on the image analysis results and the user's recognized emotion. For example, it creates a positive and joyful story based on an image of a squirrel and the user's emotion of "joy."

[0544] 6. Layout design

[0545] The server uses a layout designing means to combine the image data and the generated story to design the page layout of the picture book, which results in the appropriate arrangement of images and text, creating an easy-to-read picture book.

[0546] 7. Generate e-book file

[0547] The server generates the final e-book file based on the designed layout, in a format selected from PDF and e-book formats (e.g., ePub).

[0548] 8. Export e-book files

[0549] The server stores the generated e-book file and provides the user with a download link, which the user can click to download, view, and print the e-book file.

[0550] ---

[0551] For example, if a child draws a picture of a squirrel playing in the forest, a parent can take a photo of the drawing using a dedicated application and upload it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. The server then uses an emotion engine to recognize the user's face and identify the user's emotion as "joy." A text generator then generates a positive story, "A Squirrel's Fun Adventure," based on the image of the squirrel and the user's emotion of "joy."

[0552] The layout design tool combines the story and images to design the pages, and finally the server generates a picture book in PDF format and provides a download link to the user. The user can download the e-book, view it on a tablet, or print it out and enjoy it as a picture book. In this way, an original picture book that reflects the user's emotions can be created easily and quickly.

[0553] The processing flow will be explained below.

[0554] Step 1:

[0555] The user uses the data input device on their smartphone or tablet to take a photo of their hand-drawn drawing and acquire the image data. They then open the dedicated application, activate the camera, and take a photo of the drawing. Once the photo is taken, they tap the "Upload" button.

[0556] Step 2:

[0557] The device sends the image data to the server, which then uploads the image data to the server via the internet using a dedicated application.

[0558] Step 3:

[0559] The server receives the image data and temporarily stores it in storage. The server checks the format of the received image data and stores it in a format that can be analyzed.

[0560] Step 4:

[0561] The server passes the image data to the image analyzer, which then analyzes the image content and identifies key objects and scenes, such as squirrels, trees, and forests, and assigns them as tags.

[0562] Step 5:

[0563] The server uses the emotion engine to recognize the user's face through the camera on the user's smartphone or tablet and analyze the user's emotions. For example, if the user is smiling, the emotion engine will recognize this as "joy."

[0564] Step 6:

[0565] The server uses a text generator to generate a story based on the image analysis results and the user's recognized emotions. For example, a positive and fun story is created based on an image of a squirrel and the user's emotion of "joy."

[0566] Step 7:

[0567] The server activates the layout design means, which combines the images and the generated story to design the page layout of the picture book. The layout design means appropriately arranges the images and text, automatically generating an easy-to-read layout.

[0568] Step 8:

[0569] The server generates the final picture book as an e-book file, and creates e-book files in PDF or ePub format based on the designed layout.

[0570] Step 9:

[0571] The server saves the generated e-book file and creates a download link that the user can access. After the file is completely generated and saved, the user is notified of the download link.

[0572] Step 10:

[0573] The user receives the download link on their device and clicks the link to download the e-book file, which they can then view and print if necessary.

[0574] Example 2

[0575] 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."

[0576] Conventional picture book generation systems simply analyze image data input by a user to generate a story, but are unable to adjust the content of the story to take the user's emotions into account. This makes it difficult to provide more appealing content tailored to the user's emotions. Furthermore, when using hand-drawn pictures as the basis, specified objects and scenes may not be properly reflected. To address these issues, the present invention provides a system that recognizes a user's emotions and generates a story based on them.

[0577] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for recognizing a user's emotion, means for generating a story based on the analysis result and the user's emotion using a text generation device, means for designing a layout by combining the image data and the generated story, means for generating an e-book file based on the layout, and means for outputting the e-book file. This makes it possible to generate a story according to the user's emotion and to create an attractive e-book that more appropriately reflects hand-drawn pictures.

[0578] A "data input device" is a device that allows a user to input image data into a system, and includes smartphones and tablets.

[0579] An "image analysis device" is a device that analyzes received image data and identifies key objects and scenes.

[0580] The "means for recognizing the user's emotions" is a means for recognizing the user's face through a camera and analyzing the user's emotional state.

[0581] A "text generator" is a device that generates a story based on analysis results and user emotions, and includes a generative AI model.

[0582] The "layout designing means" is a means for combining image data with the generated story to design an easy-to-read page layout for a picture book.

[0583] "Means for generating an e-book file" refers to means for generating the final file of an e-book based on the designed layout, including output in PDF format or e-book format (e.g., ePub).

[0584] The "means for outputting an e-book file" refers to a means for saving the generated e-book file and providing a download link to the user.

[0585] "Image data" refers to data including a child's drawing entered by the user.

[0586] A "story" is a text generated based on image analysis and user emotion recognition.

[0587] MODE FOR CARRYING OUT THE INVENTION

[0588] The present invention is a system that receives children's drawings as input and compiles them into a picture book, and further combines it with an emotion engine to recognize the user's emotions and adjust the story content based on those emotions. This system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, an output means, and an emotion engine.

[0589] Hardware and software used

[0590] Hardware

[0591] Smartphone

[0592] tablet

[0593] server

[0594] software

[0595] Dedicated application

[0596] Image analysis device (e.g., Google Cloud Vision API)

[0597] Text generators (e.g., GPT-4)

[0598] Layout design method (e.g. Adobe InDesign)

[0599] E-book file generator (e.g., Calibre)

[0600] Emotion engine (e.g. Microsoft Azure Emotion API)

[0601] Explanation of the specific processing of the system

[0602] User

[0603] Users use a dedicated application on their smartphone or tablet to take a picture of their child's drawing and upload it to the system. For example, a user opens the dedicated application, activates the camera, takes a picture of a child's drawing of a squirrel, and taps the "upload" button.

[0604] server

[0605] The server temporarily stores the image data uploaded by the user, assigns a unique ID, and records it in a database.

[0606] Image analysis equipment

[0607] The server uses an image analysis device to analyze the input image data and identify key objects and scenes, such as squirrels, trees, and forests, and returns the images to the server with tags.

[0608] Emotion Engine

[0609] The server uses the emotion engine to recognize the user's face through the camera on their smartphone or tablet and analyze their emotions. For example, if the user is smiling, it will recognize this as "joy."

[0610] Text Generator

[0611] The server generates a story using a text generator based on the results of image analysis and sentiment analysis. The following prompt is input to the generative AI model: "Generate a positive story drawn by a child called 'A Squirrel's Fun Adventure' using the following keywords: squirrel, forest, tree, joy, adventure."

[0612] Layout Design Method

[0613] The server uses a layout design tool to combine the generated story and image data and design a page layout, for example, using an InDesign template to arrange images and text in a readable manner.

[0614] E-book file generation method

[0615] The server generates the final e-book file based on the layout you designed, and you can choose the file format, such as PDF or ePub.

[0616] Output Method

[0617] The server stores the generated e-book file and provides the user with a download link, which the user can click to download, view, and print the e-book file.

[0618] For example, if a child draws a picture of a squirrel playing in the forest, a parent can take a photo of the picture using a dedicated application and upload it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. The server then uses an emotion engine to recognize the user's face and identify the user's emotion as "joy." A text generator generates a positive story called "The Squirrel's Fun Adventure" based on the image of the squirrel and the user's emotion of "joy." A layout designer combines the story and the image to design pages. Finally, the server generates a PDF picture book and provides a download link to the user. The user can download the e-book, view it on a tablet, or print it out and enjoy it as a picture book. In this way, original picture books that reflect the user's emotions can be created easily and quickly.

[0619] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0620] Step 1:

[0621] The user opens a dedicated application on their smartphone or tablet. They activate the camera within the application and take a picture of the drawing their child has made. Once the picture has been taken, they tap the "Upload" button. The input is the image data of the drawing their child has made, and the output is the data sent to the server.

[0622] Step 2:

[0623] The server temporarily stores the image data uploaded by the user. The input is the image data sent in step 1, and the output is the stored data and its unique ID. Specifically, the server assigns a unique ID to the image data and records it in the database.

[0624] Step 3:

[0625] The server uses an image analysis device to analyze the input image data. The input is the stored image data, and the output is tag information for the objects and scenes identified through the analysis. Specifically, the server sends the image data to the image analysis device, which identifies objects such as squirrels, trees, and forests, and assigns tags to them.

[0626] Step 4:

[0627] The server uses the emotion engine to recognize the user's face through the camera on the user's smartphone or tablet and analyze their emotions. The input is the user's facial image, and the output is the emotion analysis result. Specifically, the server captures the user's facial image and sends it to the emotion engine to obtain the emotion analysis result, such as "joy."

[0628] Step 5:

[0629] The server generates a story using a text generator based on the image analysis and sentiment analysis results. The input is the image analysis and sentiment analysis results, and the output is the text of the generated story. Specifically, the server sends the generative AI model a prompt: "Generate a positive story called 'A Squirrel's Fun Adventure' drawn by a child using the following keywords. Keywords: squirrel, forest, tree, joy, adventure," and has the model generate the story.

[0630] Step 6:

[0631] The server uses a layout design tool to combine image data and the generated story to design the page layout of the picture book. The input is the story text and image data, and the output is the designed layout. Specifically, the server uses an InDesign template to appropriately arrange the story text and images.

[0632] Step 7:

[0633] The server generates the final e-book file based on the designed layout. The input is the designed layout, and the output is the e-book file (PDF or ePub format). Specifically, the server exports the InDesign file to PDF or ePub format.

[0634] Step 8:

[0635] The server saves the generated e-book file and provides the user with a download link. The input is the generated e-book file, and the output is the download link. Specifically, the server sends the download link to the user by email or displays it in a dedicated app. When the user clicks the link, the e-book file can be downloaded.

[0636] (Application example 2)

[0637] 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."

[0638] Conventional factory training systems do not adjust or adapt content according to the emotional state of workers, resulting in stress and anxiety, reduced work efficiency, and reduced educational effectiveness. Furthermore, one-sided training content that does not take emotions into account reduces trainee motivation and reduces learning retention. To solve these issues, a system is needed that can recognize workers' emotional states in real time and provide appropriate training content accordingly.

[0639] 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.

[0640] In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for analyzing the emotional state of a user using an emotion recognition device, means for generating a story or instructions based on the analysis result and the emotional state using a text generation device, means for designing a layout by combining the image data and the generated story or instructions, means for generating an electronic file based on the layout, and means for outputting the electronic file. This makes it possible to automatically generate and provide educational content according to the emotional state of workers, which is expected to reduce stress for workers and improve learning efficiency.

[0641] A "data input device" is a device that allows a user to input image data into the system, and includes a camera or scanner.

[0642] An "image analysis device" is a device that analyzes input image data, recognizes objects in the image, and identifies them.

[0643] An "emotion recognition device" is a device that uses cameras and sensors to analyze and recognize the user's emotional state.

[0644] A "text generator" is a device that generates narrative or instructional content based on analyzed image data and emotional states.

[0645] The "layout design means" is a means for designing a display format by combining the generated story or instruction content with image data.

[0646] The "electronic file generating means" is a means for generating an electronic file based on a designed layout.

[0647] "Output means" refers to a means for providing the generated electronic file to the user, including downloading via a link and displaying it directly on a display.

[0648] The present invention is designed as a training and communication support system for factories. The system includes the following main components:

[0649] Data Entry Devices:

[0650] This is a device that allows users to input image data into a system. For example, there is a device that uses a camera to capture the facial expressions and working conditions of factory workers. Image data is collected by activating the camera and taking pictures of the workplace and the faces of workers.

[0651] Image analysis equipment:

[0652] The server analyzes the input image data and recognizes objects and scenes within the image. Specifically, it identifies objects such as the faces of workers and factory equipment and assigns them as tags. This makes it possible to identify which worker is operating which equipment.

[0653] Emotion recognition device:

[0654] The server uses a camera to recognize the user's face and analyzes their emotions using an emotion engine. This device analyzes in real time whether the user is smiling, anxious, stressed, etc., and identifies their emotional state.

[0655] Text Generator:

[0656] The server uses a generative AI model to generate stories and instructions based on the image analysis results and the worker's recognized emotional state. For example, if a worker is feeling stressed, the server will provide instructions to help them relax or a story to lighten their mood.

[0657] Layout design methods:

[0658] The server combines the generated story and instructions with image data to design a layout, which ensures that text and images are properly arranged to create an easy-to-read document.

[0659] Electronic file generation method:

[0660] The server generates an electronic file based on the designed layout, and the generated electronic file is output in a format that is easy for users to view, such as a PDF or e-book format.

[0661] Output Method:

[0662] The server includes a means for providing the generated electronic file to the user, who can then click a download link to obtain the electronic file and view it on a tablet or computer, or print it out for use.

[0663] Examples:

[0664] For example, to reduce the stress workers feel when operating complex machinery, the robot inputs the details of the work. The robot uses a camera to recognize the worker's face and detects the worker's level of "stress" using an emotion engine. Depending on the worker's level of stress, the robot generates a work manual in an easy-to-understand, relaxing format and provides it as an e-book.

[0665] Example prompt sentence:

[0666] Emotional states based on facial recognition data and factory-manually generated prompts

[0667] Current emotional state: {emotion}

[0668] Work: {manual}

[0669] Soft-spoken: Yes

[0670] This makes it possible to automatically generate and provide educational content that corresponds to the emotional state of workers, which is expected to reduce worker stress and improve learning efficiency.

[0671] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0672] Step 1:

[0673] A user uses a data input device (e.g., a camera) to input image data into the system. The user takes pictures of factory workers' facial expressions and the state of their work, and uploads the image data to the system. The input data includes images of the workers' faces and images of the work scene. This allows the system to obtain image data to be analyzed.

[0674] Step 2:

[0675] The server temporarily stores the image data received from the data input device and immediately passes it to the image analysis device. The image analysis device analyzes the image data and recognizes objects and scenes in the image. Specifically, it identifies the faces of workers and factory equipment and assigns them tags. The output is tag information for the recognized objects and scenes.

[0676] Step 3:

[0677] The server uses an emotion recognition device to analyze the worker's face in the image data and recognize the worker's emotional state. Based on the facial image input from the camera, the server uses an emotion engine to analyze the user's emotions. For example, it analyzes in real time whether the user is smiling, anxious, or stressed, and identifies the user's emotional state. The recognized emotional state is obtained as an output.

[0678] Step 4:

[0679] The server uses a text generator to generate a story or instructions based on the image analysis results and the recognized emotional state. Specifically, a generative AI model is used to input a prompt and automatically generate appropriate instructions or a story. For example, if the emotional state is "stressed," it provides instructions for relaxation or a story that lightens the mood. The generated story or instructions are obtained as output.

[0680] Step 5:

[0681] The server combines the generated story or instruction content with the image data to design a layout. Using the layout design means, the generated content and image data are appropriately arranged and arranged into an easy-to-read document format. The designed layout information is obtained as an output.

[0682] Step 6:

[0683] The server generates an electronic file based on the layout design information, and uses the electronic file generation means to create a file in PDF format or e-book format, and obtains the completed electronic file as an output.

[0684] Step 7:

[0685] The server uses an output means to provide the generated electronic file to the user. The user obtains the electronic file via a download link and views it on a tablet or computer. The user can also print out the electronic file for further use. As an output, the server obtains an electronic file link that can be provided to the user.

[0686] 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.

[0687] 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.

[0688] 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.

[0689] [Third embodiment]

[0690] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0691] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0692] 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).

[0693] 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.

[0694] 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.

[0695] 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).

[0696] 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.

[0697] 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.

[0698] 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.

[0699] 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.

[0700] 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.

[0701] 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."

[0702] The present invention is a system that receives children's drawings as input and compiles them into a picture book. This system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, and an output means.

[0703] ---

[0704] The present invention is implemented mainly in the following procedure.

[0705] 1. Receiving image data

[0706] A user uses a data input device such as a smartphone or tablet to take a picture of a child's drawing and upload the image data to the system. For example, a parent can take a picture of their child's drawing and send it using a dedicated application.

[0707] 2. Saving image data

[0708] The server temporarily stores the received image data and immediately passes the image data to the image analysis device.

[0709] 3. Image Analysis

[0710] The server uses an image analysis device to analyze the input image data. This analysis automatically recognizes objects and features contained in the image. For example, it can identify natural objects such as squirrels, trees, and grass.

[0711] 4. Narrative Generation

[0712] The server uses a text generator to generate a story based on the image analysis results, for example, based on an image of a squirrel and a landscape of trees, a story called "The Great Adventure of a Squirrel" is created.

[0713] 5. Layout design

[0714] The server uses a layout design tool to combine the image data with the generated story and design the page layout of the picture book, which ensures that the images and text are properly arranged to create an easy-to-read picture book.

[0715] 6. Generate e-book file

[0716] The server generates the final e-book file based on the designed layout, in a format selected from PDF and e-book formats (e.g., ePub).

[0717] 7. Export e-book files

[0718] The server stores the generated e-book file and provides the user with a download link, which the user can click to download, view, and print the e-book file.

[0719] ---

[0720] As an example, consider the case where a child draws a picture of a squirrel playing in the forest. A parent takes a photo of the picture using a dedicated application and uploads it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. A text generator then creates a story called "The Squirrel's Great Adventure," and a layout designer combines the story and images to create the pages of the picture book. Finally, the server generates a PDF picture book and provides a download link to the user. The user can download the e-book and view it on a tablet or print it out to enjoy as a picture book.

[0721] The above is an embodiment of the present invention.

[0722] The processing flow will be explained below.

[0723] Step 1:

[0724] The user uses the data input device on their smartphone or tablet to take a photo of their hand-drawn drawing and acquire the image data. They then open the dedicated application, activate the camera, and take a photo of the drawing. Once the photo is taken, they tap the "Upload" button.

[0725] Step 2:

[0726] The device sends the image data to the server, which then uploads the image data to the server via the internet using a dedicated application.

[0727] Step 3:

[0728] The server receives the image data and temporarily stores it in storage. The server checks the format of the received image data and stores it in a format that can be analyzed.

[0729] Step 4:

[0730] The server passes the image data to the image analyzer, which then analyzes the image content and identifies key objects and scenes, such as squirrels, trees, and forests, and assigns them as tags.

[0731] Step 5:

[0732] The server passes the analysis results to a text generator and instructs it to generate a story. The text generator creates an appropriate story based on the image analysis results. For example, it generates a story called "The Great Adventure of a Squirrel" based on a squirrel and its surrounding objects.

[0733] Step 6:

[0734] The server activates the layout design means, which combines the images and the generated story to design the page layout of the picture book. The layout design means appropriately arranges the images and text, automatically generating an easy-to-read layout.

[0735] Step 7:

[0736] The server generates the final picture book as an e-book file, and creates e-book files in PDF or ePub format based on the designed layout.

[0737] Step 8:

[0738] The server saves the generated e-book file and creates a download link that the user can access. After the file is completely generated and saved, the user is notified of the download link.

[0739] Step 9:

[0740] The user receives the download link on their device and clicks the link to download the e-book file, which they can then view and print if necessary.

[0741] Example 1

[0742] 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."

[0743] There is a need to easily compile drawings by children who love drawing into e-books and compose them into a story. To meet this need, an efficient system is required that can analyze hand-drawn drawings, generate an appropriate story, and output it as an e-book.

[0744] 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.

[0745] In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for generating a story based on the analysis results using a text generation device, means for designing a layout by combining the image data and the generated story, means for generating an e-book file based on the layout, means for outputting the e-book file, means for generating a story based on a prompt sentence using the generative AI model, means for inputting image data via the user interface and instructing story generation, and means for saving the analysis results and the story via the server. This enables automatic analysis and story generation based on children's hand-drawn drawings, and makes it possible to easily compile them into an e-book.

[0746] A "data input device" is a device that allows a user to input image data and related information, and includes smartphones and tablets.

[0747] "Image data" refers to digital images, including children's hand-drawn drawings, that users upload to the system via input devices.

[0748] An "image analysis device" is hardware or software that analyzes input image data and recognizes the objects and features contained therein.

[0749] A "text generation device" is a device that automatically generates a story based on the analysis results from an image analysis device, and may use a generative AI model.

[0750] The "analysis results" are information about objects and features obtained by the image analysis device analyzing image data.

[0751] A "story" is a narrative text based on image data, generated by a text generator.

[0752] The "layout design means" is a device or software that combines image data with the generated story and designs the page layout of the e-book.

[0753] An "e-book file" is a digital book file generated based on a designed layout, including PDF format and e-book format (e.g., ePub).

[0754] A "generative AI model" is an artificial intelligence model for generating text and stories based on prompts.

[0755] A "prompt sentence" is an instruction sentence that is input into a generative AI model, and serves as a cue when generating a story based on the analysis results.

[0756] A "user interface" is an interface through which a user interacts with a system, and corresponds to an application screen or a web interface.

[0757] The "server" is a central processing unit that performs various processes for the system, and manages the storage and analysis of image data, story generation, layout design, and the generation and output of e-book files.

[0758] The present invention is a system that receives children's drawings as input and compiles them into an e-book. The system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, and an output means.

[0759] System Configuration

[0760] 1. Data entry device

[0761] Users use a data input device such as a smartphone or tablet to take a picture of a drawing their child has made. For example, a parent can use a dedicated application to take a picture of their child's drawing and upload the image data to the system. At this time, they can also attach a title and a brief description of the drawing.

[0762] 2. Saving image data

[0763] The server temporarily stores the image data sent by the user in cloud storage (e.g., Amazon S3). Meta information of the stored image data (user ID, upload time, title, etc.) is recorded in a database.

[0764] 3. Image Analysis

[0765] The server uses an image analysis device (e.g., Google Cloud Vision API) to analyze the image data and recognize the objects and features it contains. The analysis results are returned to the server in JSON format and stored in a database.

[0766] 4. Narrative Generation

[0767] The server uses a text generator (e.g., OpenAI's GPT-3) to generate a story based on the image analysis results. For example, based on an image of a squirrel and a landscape of trees, a story called "The Squirrel's Great Adventure" is created. A prompt sentence is input to the generative AI model.

[0768] Example prompt sentence:

[0769] "Upload a child's drawing of a squirrel and generate a story based on the analysis results."

[0770] "Create a story that fits the squirrel illustration you analyzed and create a PDF picture book."

[0771] 5. Layout design

[0772] The server uses a layout design tool (e.g., Adobe InDesign Server) to combine the image data with the generated story and design the page layout of the picture book. It determines the placement of headings, text, and images, and creates an easy-to-read picture book.

[0773] 6. Generate e-book file

[0774] The server generates the final e-book file based on the designed layout. The file format can be PDF or an e-book format (ePub, etc.), and the generated e-book file is stored in cloud storage.

[0775] 7. Export e-book files

[0776] The server provides the user with a download link for the e-book file, for example, by email or in-app notification. The user clicks the link to download the e-book file, and can enjoy it by viewing it on a tablet or printing it out on a printer.

[0777] Specific examples

[0778] For example, consider the case where a child draws a picture of a squirrel playing in the forest. A parent takes a photo of the picture using a dedicated application and uploads it to the system. The server uses an image analyzer to recognize objects such as squirrels, trees, and forests. A text generator then creates a story called "The Squirrel's Great Adventure," and a layout designer combines the story and images to create the pages of the picture book. Finally, the server generates a PDF picture book and provides a download link to the user. The user can download the e-book and view it on a tablet or print it out to enjoy as a picture book.

[0779] This system allows children to easily create picture books that utilize their creativity and can be enjoyed by many users.

[0780] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0781] Step 1:

[0782] The user uses a smartphone or tablet to launch the dedicated application. Within the application, the camera function is used to take a picture of the child's drawing. Input: The captured image data. Output: The image data is saved on the smartphone.

[0783] Step 2:

[0784] The user enters a title and a brief description for the captured image and taps the "Upload" button. Input: Image data, title, description. Output: Image data and meta information sent to the server.

[0785] Step 3:

[0786] The server receives image data and meta information sent by the user through a dedicated API. Input: Image data and meta information sent by the user. Output: Image data temporarily stored in cloud storage, meta information recorded in a database.

[0787] Step 4:

[0788] The server passes the URL of the saved image data to the image analyzer. The image analyzer (e.g., Google Cloud Vision API) analyzes the image data and recognizes the objects and features contained in the image (e.g., squirrels, trees, forests). Input: URL of the image data. Output: Analysis results (information on recognized objects and features).

[0789] Step 5:

[0790] The server receives the analysis results returned from the image analysis device and stores them in a database. Input: Analysis results from the image analysis device. Output: Analysis results stored in the database.

[0791] Step 6:

[0792] The server sends a prompt to the generative AI model (e.g., OpenAI's GPT-3) based on the analysis results. Example prompt: "Based on an image of a squirrel and a landscape of trees, please create a story about a squirrel's great adventure." Input: Analysis results, prompt. Output: Story text generated by the generative AI model.

[0793] Step 7:

[0794] The server receives the story text returned from the text generator and stores it in a database. Input: Story text from the generative AI model. Output: Story text stored in the database.

[0795] Step 8:

[0796] The server passes the image data and story text to a layout design tool (e.g. Adobe InDesign Server) to design the page layout of the e-book. Input: Image data, story text. Output: E-book layout data.

[0797] Step 9:

[0798] The server receives the layout data returned from the layout design means and stores it in a database. Input: Layout data from the layout design means. Output: Layout data stored in the database.

[0799] Step 10:

[0800] The server generates an e-book file based on the saved layout data. The file format can be PDF or ePub. Input: Layout data. Output: Generated e-book file.

[0801] Step 11:

[0802] The server saves the generated e-book file in cloud storage and provides a download link to the user. Input: e-book file. Output: download link provided to the user.

[0803] Step 12:

[0804] The user clicks the provided link to download the e-book file. They can then enjoy it by viewing it on their tablet or printing it out. Input: Download link. Output: E-book file saved on the user's device.

[0805] (Application example 1)

[0806] 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."

[0807] There is a lack of means to generate original picture books in real time based on children's drawings and allow parents and children to enjoy them together in physical stores. Existing systems separate the process from uploading images to generating the story, designing the layout, outputting the electronic file, and printing, making it difficult to realize a complete experience in real time.

[0808] 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.

[0809] In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for generating a story based on the analysis results using a text generation device, means for designing a layout by combining the image data and the generated story, means for generating an electronic file based on the layout, means for outputting the electronic file, means for transmitting the generated electronic file to a printing device, and means for receiving the image data via an interactive terminal and processing it in real time. This allows an original picture book to be generated in real time based on pictures drawn by children, enabling a consistent experience that parents and children can enjoy on the spot.

[0810] A "data input device" is a device that allows a user to input image data or other information.

[0811] "Image data" is digital data in a file format that contains visual information.

[0812] An "image analysis device" is a device that analyzes image data and automatically identifies and recognizes its components and features.

[0813] "Object" is a term that refers to a specific person, animal, object, etc. contained in an image.

[0814] A "text generator" is a device that generates sentences in natural language based on the analysis results.

[0815] A "story" is a written text that describes a series of events or the actions of characters.

[0816] "Layout design" is the process of combining multiple elements (images, text, etc.) to create a visually neat arrangement.

[0817] An "electronic file" is a document or image file stored in digital format.

[0818] An "output device" is a device that converts the generated electronic file into a format usable by the user and displays or prints it.

[0819] An "interactive terminal" is a terminal that can be directly operated by a user and that can input and process data in real time.

[0820] "Real-time processing" refers to a series of processes in which data is input, analyzed, processed, and the results are output immediately.

[0821] A "printing device" is a device that prints information in digital form onto a physical medium (such as paper).

[0822] This invention is a system that receives pictures drawn by children as input, generates original picture books based on the drawings, and provides them to parents and children in real time at a physical store. Specific embodiments of this system will be described below.

[0823] Hardware and software used

[0824] Data input device: Interactive terminal (tablet or dedicated camera)

[0825] Image analysis equipment: Computer vision software (e.g., OpenCV) installed on a server

[0826] Text generator: Natural language processing model (e.g. GPT-3)

[0827] Layout design tool: Report generation library (e.g. ReportLab)

[0828] Printing device: High-speed printer

[0829] Server software: Software that integrates image recognition, text generation, layout design, and electronic file generation

[0830] Specific processing procedures of the system

[0831] 1. Receiving image data

[0832] The server receives image data of children's drawings uploaded by users via the interactive terminal. The terminal has a function to take a picture of the drawing with a camera and send the image data to the server.

[0833] 2. Saving image data

[0834] The server temporarily stores the received image data and immediately passes it to the image analysis device. At this time, the storage folder is managed in a database.

[0835] 3. Image Analysis

[0836] The server uses an image analysis device (e.g., OpenCV) to analyze the input image data. This analysis automatically recognizes objects and features contained in the image. Typically, natural objects such as squirrels and trees are identified.

[0837] 4. Narrative Generation

[0838] The server uses a text generator (e.g., GPT-3) to generate a story based on the image analysis results. Based on the analysis results, a prompt sentence is generated and input to GPT-3, which outputs the story.

[0839] 5. Layout design

[0840] The server uses a layout design tool (e.g., ReportLab) to design a page layout that combines the image data and the generated story, resulting in an easy-to-read picture book.

[0841] 6. Generating electronic files

[0842] The server generates the final electronic file based on the designed layout, in PDF or printable format.

[0843] 7. Output of electronic files

[0844] The server then sends the generated electronic file to the interactive terminal's printer, where it is printed on the spot. Through this process, children's original picture books are generated and printed in real time.

[0845] Examples and prompts

[0846] As a concrete example, consider the case where a child draws a picture of a squirrel playing in the forest. A parent uses an interactive device to take a photo of the picture and upload it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. After that, a text generator creates a story called "The Great Adventure of the Squirrel," and a layout designer combines the story and the image to create the pages of the picture book. Finally, the server generates a picture book in PDF format and sends it to the printer of the interactive device to print.

[0847] Example prompt sentence:

[0848] "Here's a picture of a squirrel. It depicts trees and a squirrel playing in the forest. Please generate a story with this squirrel as the main character."

[0849] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0850] Step 1:

[0851] The user uses an interactive device to take a picture of the child's drawing and upload the image data to the server. Specifically, the user launches the device's camera app, takes a picture, and sends the image data to the server via a dedicated application. In this process, the device receives the image data as input and sends it to the server as an HTTP request.

[0852] Step 2:

[0853] The server temporarily saves the received image data. Specifically, it stores the image data in a save folder and records the file path in a database. The input of this step is the image data, and the output is a database entry that stores the file path of the saved image data and that information.

[0854] Step 3:

[0855] The server uses an image analyzer to analyze the stored image data. Specifically, it uses a computer vision library such as OpenCV to extract features of objects in the image (e.g., squirrels and trees). The input to this step is the file path of the image data, and the output is information about the analyzed objects (e.g., "squirrel," "tree," "sky").

[0856] Step 4:

[0857] The server generates a story using a text generator based on the analysis results. Specifically, the object information obtained from image analysis is compiled into a prompt sentence, which is then input into GPT-3 to generate a story. The input is the object information from the analysis results and the prompt sentence, and the output is the generated text story. For example, a prompt sentence such as "This is a picture of a squirrel. It depicts a squirrel playing in a forest with trees. Please generate a story with this squirrel as the main character" can be input into GPT-3 to generate a story.

[0858] Step 5:

[0859] The server combines the generated story and image data and generates an electronic file using a layout design tool. Specifically, it uses a report generation library such as ReportLab to combine the story text and images into a PDF file. The input is the image data and the generated story text, and the output is an electronic file in PDF format.

[0860] Step 6:

[0861] The server outputs the generated electronic file and sends it to the printer of the interactive terminal. Specifically, it uses a dedicated printer communication protocol to transfer the PDF format electronic file to the printer and start the printing process. The input is the PDF format electronic file, and the output is a physical picture book.

[0862] The above steps create a system that generates original picture books in real time based on children's drawings, allowing parents and children to enjoy them in a physical store.

[0863] 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.

[0864] The present invention is a system that receives children's drawings as input and compiles them into a picture book, and further combines it with an emotion engine to recognize the user's emotions and adjust the story content based on those emotions. This system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, an output means, and an emotion engine.

[0865] ---

[0866] The present invention is implemented mainly in the following procedure.

[0867] 1. Receiving image data

[0868] The user uses a data input device such as a smartphone or tablet to take a photo of the child's drawing and upload the image data to the system. They open the dedicated application, activate the camera, take a photo of the drawing, and tap the "Upload" button.

[0869] 2. Saving image data

[0870] The server temporarily stores the received image data and immediately passes the image data to the image analysis device.

[0871] 3. Image Analysis

[0872] The server uses an image analysis device to analyze the input image data and identify key objects and scenes, such as squirrels, trees, and forests, and assigns them as tags.

[0873] 4. User Emotion Recognition

[0874] The server uses the emotion engine to recognize the user's face through the camera on the user's smartphone or tablet and analyze the user's emotion. For example, if the user is smiling, the emotion engine recognizes this as "joy."

[0875] 5. Narrative Generation

[0876] The server uses a text generator to generate a story based on the image analysis results and the user's recognized emotion. For example, it creates a positive and joyful story based on an image of a squirrel and the user's emotion of "joy."

[0877] 6. Layout design

[0878] The server uses a layout designing means to combine the image data and the generated story to design the page layout of the picture book, which results in the appropriate arrangement of images and text, creating an easy-to-read picture book.

[0879] 7. Generate e-book file

[0880] The server generates the final e-book file based on the designed layout, in a format selected from PDF and e-book formats (e.g., ePub).

[0881] 8. Export e-book files

[0882] The server stores the generated e-book file and provides the user with a download link, which the user can click to download, view, and print the e-book file.

[0883] ---

[0884] For example, if a child draws a picture of a squirrel playing in the forest, a parent can take a photo of the drawing using a dedicated application and upload it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. The server then uses an emotion engine to recognize the user's face and identify the user's emotion as "joy." A text generator then generates a positive story, "A Squirrel's Fun Adventure," based on the image of the squirrel and the user's emotion of "joy."

[0885] The layout design tool combines the story and images to design the pages, and finally the server generates a picture book in PDF format and provides a download link to the user. The user can download the e-book, view it on a tablet, or print it out and enjoy it as a picture book. In this way, an original picture book that reflects the user's emotions can be created easily and quickly.

[0886] The processing flow will be explained below.

[0887] Step 1:

[0888] The user uses the data input device on their smartphone or tablet to take a photo of their hand-drawn drawing and acquire the image data. They then open the dedicated application, activate the camera, and take a photo of the drawing. Once the photo is taken, they tap the "Upload" button.

[0889] Step 2:

[0890] The device sends the image data to the server, which then uploads the image data to the server via the internet using a dedicated application.

[0891] Step 3:

[0892] The server receives the image data and temporarily stores it in storage. The server checks the format of the received image data and stores it in a format that can be analyzed.

[0893] Step 4:

[0894] The server passes the image data to the image analyzer, which then analyzes the image content and identifies key objects and scenes, such as squirrels, trees, and forests, and assigns them as tags.

[0895] Step 5:

[0896] The server uses the emotion engine to recognize the user's face through the camera on the user's smartphone or tablet and analyze the user's emotions. For example, if the user is smiling, the emotion engine will recognize this as "joy."

[0897] Step 6:

[0898] The server uses a text generator to generate a story based on the image analysis results and the user's recognized emotions. For example, a positive and fun story is created based on an image of a squirrel and the user's emotion of "joy."

[0899] Step 7:

[0900] The server activates the layout design means, which combines the images and the generated story to design the page layout of the picture book. The layout design means appropriately arranges the images and text, automatically generating an easy-to-read layout.

[0901] Step 8:

[0902] The server generates the final picture book as an e-book file, and creates e-book files in PDF or ePub format based on the designed layout.

[0903] Step 9:

[0904] The server saves the generated e-book file and creates a download link that the user can access. After the file is completely generated and saved, the user is notified of the download link.

[0905] Step 10:

[0906] The user receives the download link on their device and clicks the link to download the e-book file, which they can then view and print if necessary.

[0907] Example 2

[0908] 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."

[0909] Conventional picture book generation systems simply analyze image data input by a user to generate a story, but are unable to adjust the content of the story to take the user's emotions into account. This makes it difficult to provide more appealing content tailored to the user's emotions. Furthermore, when using hand-drawn pictures as the basis, specified objects and scenes may not be properly reflected. To address these issues, the present invention provides a system that recognizes a user's emotions and generates a story based on them.

[0910] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for recognizing a user's emotion, means for generating a story based on the analysis result and the user's emotion using a text generation device, means for designing a layout by combining the image data and the generated story, means for generating an e-book file based on the layout, and means for outputting the e-book file. This makes it possible to generate a story according to the user's emotion and to create an attractive e-book that more appropriately reflects hand-drawn pictures.

[0911] A "data input device" is a device that allows a user to input image data into a system, and includes smartphones and tablets.

[0912] An "image analysis device" is a device that analyzes received image data and identifies key objects and scenes.

[0913] The "means for recognizing the user's emotions" is a means for recognizing the user's face through a camera and analyzing the user's emotional state.

[0914] A "text generator" is a device that generates a story based on analysis results and user emotions, and includes a generative AI model.

[0915] The "layout designing means" is a means for combining image data with the generated story to design an easy-to-read page layout for a picture book.

[0916] "Means for generating an e-book file" refers to means for generating the final file of an e-book based on the designed layout, including output in PDF format or e-book format (e.g., ePub).

[0917] The "means for outputting an e-book file" refers to a means for saving the generated e-book file and providing a download link to the user.

[0918] "Image data" refers to data including a child's drawing entered by the user.

[0919] A "story" is a text generated based on image analysis and user emotion recognition.

[0920] MODE FOR CARRYING OUT THE INVENTION

[0921] The present invention is a system that receives children's drawings as input and compiles them into a picture book, and further combines it with an emotion engine to recognize the user's emotions and adjust the story content based on those emotions. This system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, an output means, and an emotion engine.

[0922] Hardware and software used

[0923] Hardware

[0924] Smartphone

[0925] tablet

[0926] server

[0927] software

[0928] Dedicated application

[0929] Image analysis device (e.g., Google Cloud Vision API)

[0930] Text generators (e.g., GPT-4)

[0931] Layout design method (e.g. Adobe InDesign)

[0932] E-book file generator (e.g., Calibre)

[0933] Emotion engine (e.g. Microsoft Azure Emotion API)

[0934] Explanation of the specific processing of the system

[0935] User

[0936] Users use a dedicated application on their smartphone or tablet to take a picture of their child's drawing and upload it to the system. For example, a user opens the dedicated application, activates the camera, takes a picture of a child's drawing of a squirrel, and taps the "upload" button.

[0937] server

[0938] The server temporarily stores the image data uploaded by the user, assigns a unique ID, and records it in a database.

[0939] Image analysis equipment

[0940] The server uses an image analysis device to analyze the input image data and identify key objects and scenes, such as squirrels, trees, and forests, and returns the images to the server with tags.

[0941] Emotion Engine

[0942] The server uses the emotion engine to recognize the user's face through the camera on their smartphone or tablet and analyze their emotions. For example, if the user is smiling, it will recognize this as "joy."

[0943] Text Generator

[0944] The server generates a story using a text generator based on the results of image analysis and sentiment analysis. The following prompt is input to the generative AI model: "Generate a positive story drawn by a child called 'A Squirrel's Fun Adventure' using the following keywords: squirrel, forest, tree, joy, adventure."

[0945] Layout Design Method

[0946] The server uses a layout design tool to combine the generated story and image data and design a page layout, for example, using an InDesign template to arrange images and text in a readable manner.

[0947] E-book file generation method

[0948] The server generates the final e-book file based on the layout you designed, and you can choose the file format, such as PDF or ePub.

[0949] Output Method

[0950] The server stores the generated e-book file and provides the user with a download link, which the user can click to download, view, and print the e-book file.

[0951] For example, if a child draws a picture of a squirrel playing in the forest, a parent can take a photo of the picture using a dedicated application and upload it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. The server then uses an emotion engine to recognize the user's face and identify the user's emotion as "joy." A text generator generates a positive story called "The Squirrel's Fun Adventure" based on the image of the squirrel and the user's emotion of "joy." A layout designer combines the story and the image to design pages. Finally, the server generates a PDF picture book and provides a download link to the user. The user can download the e-book, view it on a tablet, or print it out and enjoy it as a picture book. In this way, original picture books that reflect the user's emotions can be created easily and quickly.

[0952] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0953] Step 1:

[0954] The user opens a dedicated application on their smartphone or tablet. They activate the camera within the application and take a picture of the drawing their child has made. Once the picture has been taken, they tap the "Upload" button. The input is the image data of the drawing their child has made, and the output is the data sent to the server.

[0955] Step 2:

[0956] The server temporarily stores the image data uploaded by the user. The input is the image data sent in step 1, and the output is the stored data and its unique ID. Specifically, the server assigns a unique ID to the image data and records it in the database.

[0957] Step 3:

[0958] The server uses an image analysis device to analyze the input image data. The input is the stored image data, and the output is tag information for the objects and scenes identified through the analysis. Specifically, the server sends the image data to the image analysis device, which identifies objects such as squirrels, trees, and forests, and assigns tags to them.

[0959] Step 4:

[0960] The server uses the emotion engine to recognize the user's face through the camera on the user's smartphone or tablet and analyze their emotions. The input is the user's facial image, and the output is the emotion analysis result. Specifically, the server captures the user's facial image and sends it to the emotion engine to obtain the emotion analysis result, such as "joy."

[0961] Step 5:

[0962] The server generates a story using a text generator based on the image analysis and sentiment analysis results. The input is the image analysis and sentiment analysis results, and the output is the text of the generated story. Specifically, the server sends the generative AI model a prompt: "Generate a positive story called 'A Squirrel's Fun Adventure' drawn by a child using the following keywords. Keywords: squirrel, forest, tree, joy, adventure," and has the model generate the story.

[0963] Step 6:

[0964] The server uses a layout design tool to combine image data and the generated story to design the page layout of the picture book. The input is the story text and image data, and the output is the designed layout. Specifically, the server uses an InDesign template to appropriately arrange the story text and images.

[0965] Step 7:

[0966] The server generates the final e-book file based on the designed layout. The input is the designed layout, and the output is the e-book file (PDF or ePub format). Specifically, the server exports the InDesign file to PDF or ePub format.

[0967] Step 8:

[0968] The server saves the generated e-book file and provides the user with a download link. The input is the generated e-book file, and the output is the download link. Specifically, the server sends the download link to the user by email or displays it in a dedicated app. When the user clicks the link, the e-book file can be downloaded.

[0969] (Application example 2)

[0970] 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."

[0971] Conventional factory training systems do not adjust or adapt content according to the emotional state of workers, resulting in stress and anxiety, reduced work efficiency, and reduced educational effectiveness. Furthermore, one-sided training content that does not take emotions into account reduces trainee motivation and reduces learning retention. To solve these issues, a system is needed that can recognize workers' emotional states in real time and provide appropriate training content accordingly.

[0972] 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.

[0973] In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for analyzing the emotional state of a user using an emotion recognition device, means for generating a story or instructions based on the analysis result and the emotional state using a text generation device, means for designing a layout by combining the image data and the generated story or instructions, means for generating an electronic file based on the layout, and means for outputting the electronic file. This makes it possible to automatically generate and provide educational content according to the emotional state of workers, which is expected to reduce stress for workers and improve learning efficiency.

[0974] A "data input device" is a device that allows a user to input image data into the system, and includes a camera or scanner.

[0975] An "image analysis device" is a device that analyzes input image data, recognizes objects in the image, and identifies them.

[0976] An "emotion recognition device" is a device that uses cameras and sensors to analyze and recognize the user's emotional state.

[0977] A "text generator" is a device that generates narrative or instructional content based on analyzed image data and emotional states.

[0978] The "layout design means" is a means for designing a display format by combining the generated story or instruction content with image data.

[0979] The "electronic file generating means" is a means for generating an electronic file based on a designed layout.

[0980] "Output means" refers to a means for providing the generated electronic file to the user, including downloading via a link and displaying it directly on a display.

[0981] The present invention is designed as a training and communication support system for factories. The system includes the following main components:

[0982] Data Entry Devices:

[0983] This is a device that allows users to input image data into a system. For example, there is a device that uses a camera to capture the facial expressions and working conditions of factory workers. Image data is collected by activating the camera and taking pictures of the workplace and the faces of workers.

[0984] Image analysis equipment:

[0985] The server analyzes the input image data and recognizes objects and scenes within the image. Specifically, it identifies objects such as the faces of workers and factory equipment and assigns them as tags. This makes it possible to identify which worker is operating which equipment.

[0986] Emotion recognition device:

[0987] The server uses a camera to recognize the user's face and analyzes their emotions using an emotion engine. This device analyzes in real time whether the user is smiling, anxious, stressed, etc., and identifies their emotional state.

[0988] Text Generator:

[0989] The server uses a generative AI model to generate stories and instructions based on the image analysis results and the worker's recognized emotional state. For example, if a worker is feeling stressed, the server will provide instructions to help them relax or a story to lighten their mood.

[0990] Layout design methods:

[0991] The server combines the generated story and instructions with image data to design a layout, which ensures that text and images are properly arranged to create an easy-to-read document.

[0992] Electronic file generation method:

[0993] The server generates an electronic file based on the designed layout, and the generated electronic file is output in a format that is easy for users to view, such as a PDF or e-book format.

[0994] Output Method:

[0995] The server includes a means for providing the generated electronic file to the user, who can then click a download link to obtain the electronic file and view it on a tablet or computer, or print it out for use.

[0996] Examples:

[0997] For example, to reduce the stress workers feel when operating complex machinery, the robot inputs the details of the work. The robot uses a camera to recognize the worker's face and detects the worker's level of "stress" using an emotion engine. Depending on the worker's level of stress, the robot generates a work manual in an easy-to-understand, relaxing format and provides it as an e-book.

[0998] Example prompt sentence:

[0999] Emotional states based on facial recognition data and factory-manually generated prompts

[1000] Current emotional state: {emotion}

[1001] Work: {manual}

[1002] Soft-spoken: Yes

[1003] This makes it possible to automatically generate and provide educational content that corresponds to the emotional state of workers, which is expected to reduce worker stress and improve learning efficiency.

[1004] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1005] Step 1:

[1006] A user uses a data input device (e.g., a camera) to input image data into the system. The user takes pictures of factory workers' facial expressions and the state of their work, and uploads the image data to the system. The input data includes images of the workers' faces and images of the work scene. This allows the system to obtain image data to be analyzed.

[1007] Step 2:

[1008] The server temporarily stores the image data received from the data input device and immediately passes it to the image analysis device. The image analysis device analyzes the image data and recognizes objects and scenes in the image. Specifically, it identifies the faces of workers and factory equipment and assigns them tags. The output is tag information for the recognized objects and scenes.

[1009] Step 3:

[1010] The server uses an emotion recognition device to analyze the worker's face in the image data and recognize the worker's emotional state. Based on the facial image input from the camera, the server uses an emotion engine to analyze the user's emotions. For example, it analyzes in real time whether the user is smiling, anxious, or stressed, and identifies the user's emotional state. The recognized emotional state is obtained as an output.

[1011] Step 4:

[1012] The server uses a text generator to generate a story or instructions based on the image analysis results and the recognized emotional state. Specifically, a generative AI model is used to input a prompt and automatically generate appropriate instructions or a story. For example, if the emotional state is "stressed," it provides instructions for relaxation or a story that lightens the mood. The generated story or instructions are obtained as output.

[1013] Step 5:

[1014] The server combines the generated story or instruction content with the image data to design a layout. Using the layout design means, the generated content and image data are appropriately arranged and arranged into an easy-to-read document format. The designed layout information is obtained as an output.

[1015] Step 6:

[1016] The server generates an electronic file based on the layout design information, and uses the electronic file generation means to create a file in PDF format or e-book format, and obtains the completed electronic file as an output.

[1017] Step 7:

[1018] The server uses an output means to provide the generated electronic file to the user. The user obtains the electronic file via a download link and views it on a tablet or computer. The user can also print out the electronic file for further use. As an output, the server obtains an electronic file link that can be provided to the user.

[1019] 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.

[1020] 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.

[1021] 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.

[1022] [Fourth embodiment]

[1023] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1024] 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.

[1025] 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).

[1026] 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.

[1027] 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.

[1028] 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).

[1029] 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.

[1030] 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.

[1031] 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.

[1032] 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.

[1033] 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.

[1034] 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.

[1035] 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."

[1036] The present invention is a system that receives children's drawings as input and compiles them into a picture book. This system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, and an output means.

[1037] ---

[1038] The present invention is implemented mainly in the following procedure.

[1039] 1. Receiving image data

[1040] A user uses a data input device such as a smartphone or tablet to take a picture of a child's drawing and upload the image data to the system. For example, a parent can take a picture of their child's drawing and send it using a dedicated application.

[1041] 2. Saving image data

[1042] The server temporarily stores the received image data and immediately passes the image data to the image analysis device.

[1043] 3. Image Analysis

[1044] The server uses an image analysis device to analyze the input image data. This analysis automatically recognizes objects and features contained in the image. For example, it can identify natural objects such as squirrels, trees, and grass.

[1045] 4. Narrative Generation

[1046] The server uses a text generator to generate a story based on the image analysis results, for example, based on an image of a squirrel and a landscape of trees, a story called "The Great Adventure of a Squirrel" is created.

[1047] 5. Layout design

[1048] The server uses a layout design tool to combine the image data with the generated story and design the page layout of the picture book, which ensures that the images and text are properly arranged to create an easy-to-read picture book.

[1049] 6. Generate e-book file

[1050] The server generates the final e-book file based on the designed layout, in a format selected from PDF and e-book formats (e.g., ePub).

[1051] 7. Export e-book files

[1052] The server stores the generated e-book file and provides the user with a download link, which the user can click to download, view, and print the e-book file.

[1053] ---

[1054] As an example, consider the case where a child draws a picture of a squirrel playing in the forest. A parent takes a photo of the picture using a dedicated application and uploads it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. A text generator then creates a story called "The Squirrel's Great Adventure," and a layout designer combines the story and images to create the pages of the picture book. Finally, the server generates a PDF picture book and provides a download link to the user. The user can download the e-book and view it on a tablet or print it out to enjoy as a picture book.

[1055] The above is an embodiment of the present invention.

[1056] The processing flow will be explained below.

[1057] Step 1:

[1058] The user uses the data input device on their smartphone or tablet to take a photo of their hand-drawn drawing and acquire the image data. They then open the dedicated application, activate the camera, and take a photo of the drawing. Once the photo is taken, they tap the "Upload" button.

[1059] Step 2:

[1060] The device sends the image data to the server, which then uploads the image data to the server via the internet using a dedicated application.

[1061] Step 3:

[1062] The server receives the image data and temporarily stores it in storage. The server checks the format of the received image data and stores it in a format that can be analyzed.

[1063] Step 4:

[1064] The server passes the image data to the image analyzer, which then analyzes the image content and identifies key objects and scenes, such as squirrels, trees, and forests, and assigns them as tags.

[1065] Step 5:

[1066] The server passes the analysis results to a text generator and instructs it to generate a story. The text generator creates an appropriate story based on the image analysis results. For example, it generates a story called "The Great Adventure of a Squirrel" based on a squirrel and its surrounding objects.

[1067] Step 6:

[1068] The server activates the layout design means, which combines the images and the generated story to design the page layout of the picture book. The layout design means appropriately arranges the images and text, automatically generating an easy-to-read layout.

[1069] Step 7:

[1070] The server generates the final picture book as an e-book file, and creates e-book files in PDF or ePub format based on the designed layout.

[1071] Step 8:

[1072] The server saves the generated e-book file and creates a download link that the user can access. After the file is completely generated and saved, the user is notified of the download link.

[1073] Step 9:

[1074] The user receives the download link on their device and clicks the link to download the e-book file, which they can then view and print if necessary.

[1075] Example 1

[1076] 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."

[1077] There is a need to easily compile drawings by children who love drawing into e-books and compose them into a story. To meet this need, an efficient system is required that can analyze hand-drawn drawings, generate an appropriate story, and output it as an e-book.

[1078] 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.

[1079] In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for generating a story based on the analysis results using a text generation device, means for designing a layout by combining the image data and the generated story, means for generating an e-book file based on the layout, means for outputting the e-book file, means for generating a story based on a prompt sentence using the generative AI model, means for inputting image data via the user interface and instructing story generation, and means for saving the analysis results and the story via the server. This enables automatic analysis and story generation based on children's hand-drawn drawings, and makes it possible to easily compile them into an e-book.

[1080] A "data input device" is a device that allows a user to input image data and related information, and includes smartphones and tablets.

[1081] "Image data" refers to digital images, including children's hand-drawn drawings, that users upload to the system via input devices.

[1082] An "image analysis device" is hardware or software that analyzes input image data and recognizes the objects and features contained therein.

[1083] A "text generation device" is a device that automatically generates a story based on the analysis results from an image analysis device, and may use a generative AI model.

[1084] The "analysis results" are information about objects and features obtained by the image analysis device analyzing image data.

[1085] A "story" is a narrative text based on image data, generated by a text generator.

[1086] The "layout design means" is a device or software that combines image data with the generated story and designs the page layout of the e-book.

[1087] An "e-book file" is a digital book file generated based on a designed layout, including PDF format and e-book format (e.g., ePub).

[1088] A "generative AI model" is an artificial intelligence model for generating text and stories based on prompts.

[1089] A "prompt sentence" is an instruction sentence that is input into a generative AI model, and serves as a cue when generating a story based on the analysis results.

[1090] A "user interface" is an interface through which a user interacts with a system, and corresponds to an application screen or a web interface.

[1091] The "server" is a central processing unit that performs various processes for the system, and manages the storage and analysis of image data, story generation, layout design, and the generation and output of e-book files.

[1092] The present invention is a system that receives children's drawings as input and compiles them into an e-book. The system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, and an output means.

[1093] System Configuration

[1094] 1. Data entry device

[1095] Users use a data input device such as a smartphone or tablet to take a picture of a drawing their child has made. For example, a parent can use a dedicated application to take a picture of their child's drawing and upload the image data to the system. At this time, they can also attach a title and a brief description of the drawing.

[1096] 2. Saving image data

[1097] The server temporarily stores the image data sent by the user in cloud storage (e.g., Amazon S3). Meta information of the stored image data (user ID, upload time, title, etc.) is recorded in a database.

[1098] 3. Image Analysis

[1099] The server uses an image analysis device (e.g., Google Cloud Vision API) to analyze the image data and recognize the objects and features it contains. The analysis results are returned to the server in JSON format and stored in a database.

[1100] 4. Narrative Generation

[1101] The server uses a text generator (e.g., OpenAI's GPT-3) to generate a story based on the image analysis results. For example, based on an image of a squirrel and a landscape of trees, a story called "The Squirrel's Great Adventure" is created. A prompt sentence is input to the generative AI model.

[1102] Example prompt sentence:

[1103] "Upload a child's drawing of a squirrel and generate a story based on the analysis results."

[1104] "Create a story that fits the squirrel illustration you analyzed and create a PDF picture book."

[1105] 5. Layout design

[1106] The server uses a layout design tool (e.g., Adobe InDesign Server) to combine the image data with the generated story and design the page layout of the picture book. It determines the placement of headings, text, and images, and creates an easy-to-read picture book.

[1107] 6. Generate e-book file

[1108] The server generates the final e-book file based on the designed layout. The file format can be PDF or an e-book format (ePub, etc.), and the generated e-book file is stored in cloud storage.

[1109] 7. Export e-book files

[1110] The server provides the user with a download link for the e-book file, for example, by email or in-app notification. The user clicks the link to download the e-book file, and can enjoy it by viewing it on a tablet or printing it out on a printer.

[1111] Specific examples

[1112] For example, consider the case where a child draws a picture of a squirrel playing in the forest. A parent takes a photo of the picture using a dedicated application and uploads it to the system. The server uses an image analyzer to recognize objects such as squirrels, trees, and forests. A text generator then creates a story called "The Squirrel's Great Adventure," and a layout designer combines the story and images to create the pages of the picture book. Finally, the server generates a PDF picture book and provides a download link to the user. The user can download the e-book and view it on a tablet or print it out to enjoy as a picture book.

[1113] This system allows children to easily create picture books that utilize their creativity and can be enjoyed by many users.

[1114] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1115] Step 1:

[1116] The user uses a smartphone or tablet to launch the dedicated application. Within the application, the camera function is used to take a picture of the child's drawing. Input: The captured image data. Output: The image data is saved on the smartphone.

[1117] Step 2:

[1118] The user enters a title and a brief description for the captured image and taps the "Upload" button. Input: Image data, title, description. Output: Image data and meta information sent to the server.

[1119] Step 3:

[1120] The server receives image data and meta information sent by the user through a dedicated API. Input: Image data and meta information sent by the user. Output: Image data temporarily stored in cloud storage, meta information recorded in a database.

[1121] Step 4:

[1122] The server passes the URL of the saved image data to the image analyzer. The image analyzer (e.g., Google Cloud Vision API) analyzes the image data and recognizes the objects and features contained in the image (e.g., squirrels, trees, forests). Input: URL of the image data. Output: Analysis results (information on recognized objects and features).

[1123] Step 5:

[1124] The server receives the analysis results returned from the image analysis device and stores them in a database. Input: Analysis results from the image analysis device. Output: Analysis results stored in the database.

[1125] Step 6:

[1126] The server sends a prompt to the generative AI model (e.g., OpenAI's GPT-3) based on the analysis results. Example prompt: "Based on an image of a squirrel and a landscape of trees, please create a story about a squirrel's great adventure." Input: Analysis results, prompt. Output: Story text generated by the generative AI model.

[1127] Step 7:

[1128] The server receives the story text returned from the text generator and stores it in a database. Input: Story text from the generative AI model. Output: Story text stored in the database.

[1129] Step 8:

[1130] The server passes the image data and story text to a layout design tool (e.g. Adobe InDesign Server) to design the page layout of the e-book. Input: Image data, story text. Output: E-book layout data.

[1131] Step 9:

[1132] The server receives the layout data returned from the layout design means and stores it in a database. Input: Layout data from the layout design means. Output: Layout data stored in the database.

[1133] Step 10:

[1134] The server generates an e-book file based on the saved layout data. The file format can be PDF or ePub. Input: Layout data. Output: Generated e-book file.

[1135] Step 11:

[1136] The server saves the generated e-book file in cloud storage and provides a download link to the user. Input: e-book file. Output: download link provided to the user.

[1137] Step 12:

[1138] The user clicks the provided link to download the e-book file. They can then enjoy it by viewing it on their tablet or printing it out. Input: Download link. Output: E-book file saved on the user's device.

[1139] (Application example 1)

[1140] 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."

[1141] There is a lack of means to generate original picture books in real time based on children's drawings and allow parents and children to enjoy them together in physical stores. Existing systems separate the process from uploading images to generating the story, designing the layout, outputting the electronic file, and printing, making it difficult to realize a complete experience in real time.

[1142] 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.

[1143] In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for generating a story based on the analysis results using a text generation device, means for designing a layout by combining the image data and the generated story, means for generating an electronic file based on the layout, means for outputting the electronic file, means for transmitting the generated electronic file to a printing device, and means for receiving the image data via an interactive terminal and processing it in real time. This allows an original picture book to be generated in real time based on pictures drawn by children, enabling a consistent experience that parents and children can enjoy on the spot.

[1144] A "data input device" is a device that allows a user to input image data or other information.

[1145] "Image data" is digital data in a file format that contains visual information.

[1146] An "image analysis device" is a device that analyzes image data and automatically identifies and recognizes its components and features.

[1147] "Object" is a term that refers to a specific person, animal, object, etc. contained in an image.

[1148] A "text generator" is a device that generates sentences in natural language based on the analysis results.

[1149] A "story" is a written text that describes a series of events or the actions of characters.

[1150] "Layout design" is the process of combining multiple elements (images, text, etc.) to create a visually neat arrangement.

[1151] An "electronic file" is a document or image file stored in digital format.

[1152] An "output device" is a device that converts the generated electronic file into a format usable by the user and displays or prints it.

[1153] An "interactive terminal" is a terminal that can be directly operated by a user and that can input and process data in real time.

[1154] "Real-time processing" refers to a series of processes in which data is input, analyzed, processed, and the results are output immediately.

[1155] A "printing device" is a device that prints information in digital form onto a physical medium (such as paper).

[1156] This invention is a system that receives pictures drawn by children as input, generates original picture books based on the drawings, and provides them to parents and children in real time at a physical store. Specific embodiments of this system will be described below.

[1157] Hardware and software used

[1158] Data input device: Interactive terminal (tablet or dedicated camera)

[1159] Image analysis equipment: Computer vision software (e.g., OpenCV) installed on a server

[1160] Text generator: Natural language processing model (e.g. GPT-3)

[1161] Layout design tool: Report generation library (e.g. ReportLab)

[1162] Printing device: High-speed printer

[1163] Server software: Software that integrates image recognition, text generation, layout design, and electronic file generation

[1164] Specific processing procedures of the system

[1165] 1. Receiving image data

[1166] The server receives image data of children's drawings uploaded by users via the interactive terminal. The terminal has a function to take a picture of the drawing with a camera and send the image data to the server.

[1167] 2. Saving image data

[1168] The server temporarily stores the received image data and immediately passes it to the image analysis device. At this time, the storage folder is managed in a database.

[1169] 3. Image Analysis

[1170] The server uses an image analysis device (e.g., OpenCV) to analyze the input image data. This analysis automatically recognizes objects and features contained in the image. Typically, natural objects such as squirrels and trees are identified.

[1171] 4. Narrative Generation

[1172] The server uses a text generator (e.g., GPT-3) to generate a story based on the image analysis results. Based on the analysis results, a prompt sentence is generated and input to GPT-3, which outputs the story.

[1173] 5. Layout design

[1174] The server uses a layout design tool (e.g., ReportLab) to design a page layout that combines the image data and the generated story, resulting in an easy-to-read picture book.

[1175] 6. Generating electronic files

[1176] The server generates the final electronic file based on the designed layout, in PDF or printable format.

[1177] 7. Output of electronic files

[1178] The server then sends the generated electronic file to the interactive terminal's printer, where it is printed on the spot. Through this process, children's original picture books are generated and printed in real time.

[1179] Examples and prompts

[1180] As a concrete example, consider the case where a child draws a picture of a squirrel playing in the forest. A parent uses an interactive device to take a photo of the picture and upload it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. After that, a text generator creates a story called "The Great Adventure of the Squirrel," and a layout designer combines the story and the image to create the pages of the picture book. Finally, the server generates a picture book in PDF format and sends it to the printer of the interactive device to print.

[1181] Example prompt sentence:

[1182] "Here's a picture of a squirrel. It depicts trees and a squirrel playing in the forest. Please generate a story with this squirrel as the main character."

[1183] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1184] Step 1:

[1185] The user uses an interactive device to take a picture of the child's drawing and upload the image data to the server. Specifically, the user launches the device's camera app, takes a picture, and sends the image data to the server via a dedicated application. In this process, the device receives the image data as input and sends it to the server as an HTTP request.

[1186] Step 2:

[1187] The server temporarily saves the received image data. Specifically, it stores the image data in a save folder and records the file path in a database. The input of this step is the image data, and the output is a database entry that stores the file path of the saved image data and that information.

[1188] Step 3:

[1189] The server uses an image analyzer to analyze the stored image data. Specifically, it uses a computer vision library such as OpenCV to extract features of objects in the image (e.g., squirrels and trees). The input to this step is the file path of the image data, and the output is information about the analyzed objects (e.g., "squirrel," "tree," "sky").

[1190] Step 4:

[1191] The server generates a story using a text generator based on the analysis results. Specifically, the object information obtained from image analysis is compiled into a prompt sentence, which is then input into GPT-3 to generate a story. The input is the object information from the analysis results and the prompt sentence, and the output is the generated text story. For example, a prompt sentence such as "This is a picture of a squirrel. It depicts a squirrel playing in a forest with trees. Please generate a story with this squirrel as the main character" can be input into GPT-3 to generate a story.

[1192] Step 5:

[1193] The server combines the generated story and image data and generates an electronic file using a layout design tool. Specifically, it uses a report generation library such as ReportLab to combine the story text and images into a PDF file. The input is the image data and the generated story text, and the output is an electronic file in PDF format.

[1194] Step 6:

[1195] The server outputs the generated electronic file and sends it to the printer of the interactive terminal. Specifically, it uses a dedicated printer communication protocol to transfer the PDF format electronic file to the printer and start the printing process. The input is the PDF format electronic file, and the output is a physical picture book.

[1196] The above steps create a system that generates original picture books in real time based on children's drawings, allowing parents and children to enjoy them in a physical store.

[1197] 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.

[1198] The present invention is a system that receives children's drawings as input and compiles them into a picture book, and further combines it with an emotion engine to recognize the user's emotions and adjust the story content based on those emotions. This system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, an output means, and an emotion engine.

[1199] ---

[1200] The present invention is implemented mainly in the following procedure.

[1201] 1. Receiving image data

[1202] The user uses a data input device such as a smartphone or tablet to take a photo of the child's drawing and upload the image data to the system. They open the dedicated application, activate the camera, take a photo of the drawing, and tap the "Upload" button.

[1203] 2. Saving image data

[1204] The server temporarily stores the received image data and immediately passes the image data to the image analysis device.

[1205] 3. Image Analysis

[1206] The server uses an image analysis device to analyze the input image data and identify key objects and scenes, such as squirrels, trees, and forests, and assigns them as tags.

[1207] 4. User Emotion Recognition

[1208] The server uses the emotion engine to recognize the user's face through the camera on the user's smartphone or tablet and analyze the user's emotion. For example, if the user is smiling, the emotion engine recognizes this as "joy."

[1209] 5. Narrative Generation

[1210] The server uses a text generator to generate a story based on the image analysis results and the user's recognized emotion. For example, it creates a positive and joyful story based on an image of a squirrel and the user's emotion of "joy."

[1211] 6. Layout design

[1212] The server uses a layout designing means to combine the image data and the generated story to design the page layout of the picture book, which results in the appropriate arrangement of images and text, creating an easy-to-read picture book.

[1213] 7. Generate e-book file

[1214] The server generates the final e-book file based on the designed layout, in a format selected from PDF and e-book formats (e.g., ePub).

[1215] 8. Export e-book files

[1216] The server stores the generated e-book file and provides the user with a download link, which the user can click to download, view, and print the e-book file.

[1217] ---

[1218] For example, if a child draws a picture of a squirrel playing in the forest, a parent can take a photo of the drawing using a dedicated application and upload it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. The server then uses an emotion engine to recognize the user's face and identify the user's emotion as "joy." A text generator then generates a positive story, "A Squirrel's Fun Adventure," based on the image of the squirrel and the user's emotion of "joy."

[1219] The layout design tool combines the story and images to design the pages, and finally the server generates a picture book in PDF format and provides a download link to the user. The user can download the e-book, view it on a tablet, or print it out and enjoy it as a picture book. In this way, an original picture book that reflects the user's emotions can be created easily and quickly.

[1220] The processing flow will be explained below.

[1221] Step 1:

[1222] The user uses the data input device on their smartphone or tablet to take a photo of their hand-drawn drawing and acquire the image data. They then open the dedicated application, activate the camera, and take a photo of the drawing. Once the photo is taken, they tap the "Upload" button.

[1223] Step 2:

[1224] The device sends the image data to the server, which then uploads the image data to the server via the internet using a dedicated application.

[1225] Step 3:

[1226] The server receives the image data and temporarily stores it in storage. The server checks the format of the received image data and stores it in a format that can be analyzed.

[1227] Step 4:

[1228] The server passes the image data to the image analyzer, which then analyzes the image content and identifies key objects and scenes, such as squirrels, trees, and forests, and assigns them as tags.

[1229] Step 5:

[1230] The server uses the emotion engine to recognize the user's face through the camera on the user's smartphone or tablet and analyze the user's emotions. For example, if the user is smiling, the emotion engine will recognize this as "joy."

[1231] Step 6:

[1232] The server uses a text generator to generate a story based on the image analysis results and the user's recognized emotions. For example, a positive and fun story is created based on an image of a squirrel and the user's emotion of "joy."

[1233] Step 7:

[1234] The server activates the layout design means, which combines the images and the generated story to design the page layout of the picture book. The layout design means appropriately arranges the images and text, automatically generating an easy-to-read layout.

[1235] Step 8:

[1236] The server generates the final picture book as an e-book file, and creates e-book files in PDF or ePub format based on the designed layout.

[1237] Step 9:

[1238] The server saves the generated e-book file and creates a download link that the user can access. After the file is completely generated and saved, the user is notified of the download link.

[1239] Step 10:

[1240] The user receives the download link on their device and clicks the link to download the e-book file, which they can then view and print if necessary.

[1241] Example 2

[1242] 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."

[1243] Conventional picture book generation systems simply analyze image data input by a user to generate a story, but are unable to adjust the content of the story to take the user's emotions into account. This makes it difficult to provide more appealing content tailored to the user's emotions. Furthermore, when using hand-drawn pictures as the basis, specified objects and scenes may not be properly reflected. To address these issues, the present invention provides a system that recognizes a user's emotions and generates a story based on them.

[1244] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for recognizing a user's emotion, means for generating a story based on the analysis result and the user's emotion using a text generation device, means for designing a layout by combining the image data and the generated story, means for generating an e-book file based on the layout, and means for outputting the e-book file. This makes it possible to generate a story according to the user's emotion and to create an attractive e-book that more appropriately reflects hand-drawn pictures.

[1245] A "data input device" is a device that allows a user to input image data into a system, and includes smartphones and tablets.

[1246] An "image analysis device" is a device that analyzes received image data and identifies key objects and scenes.

[1247] The "means for recognizing the user's emotions" is a means for recognizing the user's face through a camera and analyzing the user's emotional state.

[1248] A "text generator" is a device that generates a story based on analysis results and user emotions, and includes a generative AI model.

[1249] The "layout designing means" is a means for combining image data with the generated story to design an easy-to-read page layout for a picture book.

[1250] "Means for generating an e-book file" refers to means for generating the final file of an e-book based on the designed layout, including output in PDF format or e-book format (e.g., ePub).

[1251] The "means for outputting an e-book file" refers to a means for saving the generated e-book file and providing a download link to the user.

[1252] "Image data" refers to data including a child's drawing entered by the user.

[1253] A "story" is a text generated based on image analysis and user emotion recognition.

[1254] MODE FOR CARRYING OUT THE INVENTION

[1255] The present invention is a system that receives children's drawings as input and compiles them into a picture book, and further combines it with an emotion engine to recognize the user's emotions and adjust the story content based on those emotions. This system includes a data input device, an image analysis device, a text generation device, a layout design means, an e-book file generation means, an output means, and an emotion engine.

[1256] Hardware and software used

[1257] Hardware

[1258] Smartphone

[1259] tablet

[1260] server

[1261] software

[1262] Dedicated application

[1263] Image analysis device (e.g., Google Cloud Vision API)

[1264] Text generators (e.g., GPT-4)

[1265] Layout design method (e.g. Adobe InDesign)

[1266] E-book file generator (e.g., Calibre)

[1267] Emotion engine (e.g. Microsoft Azure Emotion API)

[1268] Explanation of the specific processing of the system

[1269] User

[1270] Users use a dedicated application on their smartphone or tablet to take a picture of their child's drawing and upload it to the system. For example, a user opens the dedicated application, activates the camera, takes a picture of a child's drawing of a squirrel, and taps the "upload" button.

[1271] server

[1272] The server temporarily stores the image data uploaded by the user, assigns a unique ID, and records it in a database.

[1273] Image analysis equipment

[1274] The server uses an image analysis device to analyze the input image data and identify key objects and scenes, such as squirrels, trees, and forests, and returns the images to the server with tags.

[1275] Emotion Engine

[1276] The server uses the emotion engine to recognize the user's face through the camera on their smartphone or tablet and analyze their emotions. For example, if the user is smiling, it will recognize this as "joy."

[1277] Text Generator

[1278] The server generates a story using a text generator based on the results of image analysis and sentiment analysis. The following prompt is input to the generative AI model: "Generate a positive story drawn by a child called 'A Squirrel's Fun Adventure' using the following keywords: squirrel, forest, tree, joy, adventure."

[1279] Layout Design Method

[1280] The server uses a layout design tool to combine the generated story and image data and design a page layout, for example, using an InDesign template to arrange images and text in a readable manner.

[1281] E-book file generation method

[1282] The server generates the final e-book file based on the layout you designed, and you can choose the file format, such as PDF or ePub.

[1283] Output Method

[1284] The server stores the generated e-book file and provides the user with a download link, which the user can click to download, view, and print the e-book file.

[1285] For example, if a child draws a picture of a squirrel playing in the forest, a parent can take a photo of the picture using a dedicated application and upload it to the system. The server analyzes the image and recognizes objects such as squirrels, trees, and forests. The server then uses an emotion engine to recognize the user's face and identify the user's emotion as "joy." A text generator generates a positive story called "The Squirrel's Fun Adventure" based on the image of the squirrel and the user's emotion of "joy." A layout designer combines the story and the image to design pages. Finally, the server generates a PDF picture book and provides a download link to the user. The user can download the e-book, view it on a tablet, or print it out and enjoy it as a picture book. In this way, original picture books that reflect the user's emotions can be created easily and quickly.

[1286] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1287] Step 1:

[1288] The user opens a dedicated application on their smartphone or tablet. They activate the camera within the application and take a picture of the drawing their child has made. Once the picture has been taken, they tap the "Upload" button. The input is the image data of the drawing their child has made, and the output is the data sent to the server.

[1289] Step 2:

[1290] The server temporarily stores the image data uploaded by the user. The input is the image data sent in step 1, and the output is the stored data and its unique ID. Specifically, the server assigns a unique ID to the image data and records it in the database.

[1291] Step 3:

[1292] The server uses an image analysis device to analyze the input image data. The input is the stored image data, and the output is tag information for the objects and scenes identified through the analysis. Specifically, the server sends the image data to the image analysis device, which identifies objects such as squirrels, trees, and forests, and assigns tags to them.

[1293] Step 4:

[1294] The server uses the emotion engine to recognize the user's face through the camera on the user's smartphone or tablet and analyze their emotions. The input is the user's facial image, and the output is the emotion analysis result. Specifically, the server captures the user's facial image and sends it to the emotion engine to obtain the emotion analysis result, such as "joy."

[1295] Step 5:

[1296] The server generates a story using a text generator based on the image analysis and sentiment analysis results. The input is the image analysis and sentiment analysis results, and the output is the text of the generated story. Specifically, the server sends the generative AI model a prompt: "Generate a positive story called 'A Squirrel's Fun Adventure' drawn by a child using the following keywords. Keywords: squirrel, forest, tree, joy, adventure," and has the model generate the story.

[1297] Step 6:

[1298] The server uses a layout design tool to combine image data and the generated story to design the page layout of the picture book. The input is the story text and image data, and the output is the designed layout. Specifically, the server uses an InDesign template to appropriately arrange the story text and images.

[1299] Step 7:

[1300] The server generates the final e-book file based on the designed layout. The input is the designed layout, and the output is the e-book file (PDF or ePub format). Specifically, the server exports the InDesign file to PDF or ePub format.

[1301] Step 8:

[1302] The server saves the generated e-book file and provides the user with a download link. The input is the generated e-book file, and the output is the download link. Specifically, the server sends the download link to the user by email or displays it in a dedicated app. When the user clicks the link, the e-book file can be downloaded.

[1303] (Application example 2)

[1304] 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."

[1305] Conventional factory training systems do not adjust or adapt content according to the emotional state of workers, resulting in stress and anxiety, reduced work efficiency, and reduced educational effectiveness. Furthermore, one-sided training content that does not take emotions into account reduces trainee motivation and reduces learning retention. To solve these issues, a system is needed that can recognize workers' emotional states in real time and provide appropriate training content accordingly.

[1306] 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.

[1307] In this invention, the server includes means for receiving image data via a data input device, means for analyzing the image data using an image analysis device and recognizing at least one object, means for analyzing the emotional state of a user using an emotion recognition device, means for generating a story or instructions based on the analysis result and the emotional state using a text generation device, means for designing a layout by combining the image data and the generated story or instructions, means for generating an electronic file based on the layout, and means for outputting the electronic file. This makes it possible to automatically generate and provide educational content according to the emotional state of workers, which is expected to reduce stress for workers and improve learning efficiency.

[1308] A "data input device" is a device that allows a user to input image data into the system, and includes a camera or scanner.

[1309] An "image analysis device" is a device that analyzes input image data, recognizes objects in the image, and identifies them.

[1310] An "emotion recognition device" is a device that uses cameras and sensors to analyze and recognize the user's emotional state.

[1311] A "text generator" is a device that generates narrative or instructional content based on analyzed image data and emotional states.

[1312] The "layout design means" is a means for designing a display format by combining the generated story or instruction content with image data.

[1313] The "electronic file generating means" is a means for generating an electronic file based on a designed layout.

[1314] "Output means" refers to a means for providing the generated electronic file to the user, including downloading via a link and displaying it directly on a display.

[1315] The present invention is designed as a training and communication support system for factories. The system includes the following main components:

[1316] Data Entry Devices:

[1317] This is a device that allows users to input image data into a system. For example, there is a device that uses a camera to capture the facial expressions and working conditions of factory workers. Image data is collected by activating the camera and taking pictures of the workplace and the faces of workers.

[1318] Image analysis equipment:

[1319] The server analyzes the input image data and recognizes objects and scenes within the image. Specifically, it identifies objects such as the faces of workers and factory equipment and assigns them as tags. This makes it possible to identify which worker is operating which equipment.

[1320] Emotion recognition device:

[1321] The server uses a camera to recognize the user's face and analyzes their emotions using an emotion engine. This device analyzes in real time whether the user is smiling, anxious, stressed, etc., and identifies their emotional state.

[1322] Text Generator:

[1323] The server uses a generative AI model to generate stories and instructions based on the image analysis results and the worker's recognized emotional state. For example, if a worker is feeling stressed, the server will provide instructions to help them relax or a story to lighten their mood.

[1324] Layout design methods:

[1325] The server combines the generated story and instructions with image data to design a layout, which ensures that text and images are properly arranged to create an easy-to-read document.

[1326] Electronic file generation method:

[1327] The server generates an electronic file based on the designed layout, and the generated electronic file is output in a format that is easy for users to view, such as a PDF or e-book format.

[1328] Output Method:

[1329] The server includes a means for providing the generated electronic file to the user, who can then click a download link to obtain the electronic file and view it on a tablet or computer, or print it out for use.

[1330] Examples:

[1331] For example, to reduce the stress workers feel when operating complex machinery, the robot inputs the details of the work. The robot uses a camera to recognize the worker's face and detects the worker's level of "stress" using an emotion engine. Depending on the worker's level of stress, the robot generates a work manual in an easy-to-understand, relaxing format and provides it as an e-book.

[1332] Example prompt sentence:

[1333] Emotional states based on facial recognition data and factory-manually generated prompts

[1334] Current emotional state: {emotion}

[1335] Work: {manual}

[1336] Soft-spoken: Yes

[1337] This makes it possible to automatically generate and provide educational content that corresponds to the emotional state of workers, which is expected to reduce worker stress and improve learning efficiency.

[1338] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1339] Step 1:

[1340] A user uses a data input device (e.g., a camera) to input image data into the system. The user takes pictures of factory workers' facial expressions and the state of their work, and uploads the image data to the system. The input data includes images of the workers' faces and images of the work scene. This allows the system to obtain image data to be analyzed.

[1341] Step 2:

[1342] The server temporarily stores the image data received from the data input device and immediately passes it to the image analysis device. The image analysis device analyzes the image data and recognizes objects and scenes in the image. Specifically, it identifies the faces of workers and factory equipment and assigns them tags. The output is tag information for the recognized objects and scenes.

[1343] Step 3:

[1344] The server uses an emotion recognition device to analyze the worker's face in the image data and recognize the worker's emotional state. Based on the facial image input from the camera, the server uses an emotion engine to analyze the user's emotions. For example, it analyzes in real time whether the user is smiling, anxious, or stressed, and identifies the user's emotional state. The recognized emotional state is obtained as an output.

[1345] Step 4:

[1346] The server uses a text generator to generate a story or instructions based on the image analysis results and the recognized emotional state. Specifically, a generative AI model is used to input a prompt and automatically generate appropriate instructions or a story. For example, if the emotional state is "stressed," it provides instructions for relaxation or a story that lightens the mood. The generated story or instructions are obtained as output.

[1347] Step 5:

[1348] The server combines the generated story or instruction content with the image data to design a layout. Using the layout design means, the generated content and image data are appropriately arranged and arranged into an easy-to-read document format. The designed layout information is obtained as an output.

[1349] Step 6:

[1350] The server generates an electronic file based on the layout design information, and uses the electronic file generation means to create a file in PDF format or e-book format, and obtains the completed electronic file as an output.

[1351] Step 7:

[1352] The server uses an output means to provide the generated electronic file to the user. The user obtains the electronic file via a download link and views it on a tablet or computer. The user can also print out the electronic file for further use. As an output, the server obtains an electronic file link that can be provided to the user.

[1353] 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.

[1354] 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.

[1355] 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.

[1356] 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.

[1357] 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.

[1358] 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.

[1359] 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).

[1360] 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.

[1361] 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."

[1362] 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.

[1363] 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).

[1364] 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.

[1365] 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.

[1366] 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.

[1367] 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.

[1368] 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.

[1369] 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.

[1370] 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.

[1371] 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.

[1372] 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.

[1373] 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.

[1374] The following is further disclosed regarding the above embodiment.

[1375] (Claim 1)

[1376] means for receiving image data via a data input device;

[1377] means for analyzing the image data using an image analysis device to recognize at least one object;

[1378] means for generating a story based on the analysis results using a text generator;

[1379] A means for designing a layout by combining image data and the generated story;

[1380] means for generating an electronic book file based on the layout;

[1381] means for outputting the electronic book file;

[1382] A system including:

[1383] (Claim 2)

[1384] 2. The system of claim 1, wherein the image data is a hand-drawn picture.

[1385] (Claim 3)

[1386] 2. The system of claim 1, wherein the electronic book file is in PDF format or electronic book format.

[1387] "Example 1"

[1388] (Claim 1)

[1389] means for receiving image data via a data input device;

[1390] means for analyzing the image data using an image analysis device to recognize at least one object;

[1391] means for generating a story based on the analysis results using a text generator;

[1392] A means for designing a layout by combining image data and the generated story;

[1393] means for generating an electronic book file based on the layout;

[1394] means for outputting the electronic book file;

[1395] means for generating a narrative based on a prompt sentence using the generative AI model;

[1396] a means for inputting image data via the user interface and instructing the creation of a story;

[1397] a means for storing the analysis results and the story via a server;

[1398] A system including:

[1399] (Claim 2)

[1400] 2. The system of claim 1, wherein the image data is a hand-drawn picture.

[1401] (Claim 3)

[1402] 2. The system of claim 1, wherein the electronic book file is in PDF format or electronic book format.

[1403] "Application Example 1"

[1404] (Claim 1)

[1405] means for receiving image data via a data input device;

[1406] means for analyzing the image data using an image analysis device to recognize at least one object;

[1407] means for generating a story based on the analysis results using a text generator;

[1408] A means for designing a layout by combining image data and the generated story;

[1409] means for generating an electronic file based on the layout;

[1410] means for outputting the electronic file;

[1411] means for transmitting the generated electronic file to a device for printing;

[1412] means for receiving the image data via an interactive terminal and processing the image data in real time;

[1413] A system including:

[1414] (Claim 2)

[1415] 2. The system of claim 1, wherein the image data is a hand-drawn drawing.

[1416] (Claim 3)

[1417] 2. The system according to claim 1, wherein the electronic file is in a PDF format or a print file format.

[1418] "Example 2: Combining Emotion Engines"

[1419] (Claim 1)

[1420] means for receiving image data via a data input device;

[1421] means for analyzing the image data using an image analysis device to recognize at least one object;

[1422] means for recognizing a user's emotion;

[1423] means for generating a story based on the analysis results and the user's emotions using a text generator;

[1424] A means for designing a layout by combining image data and the generated story;

[1425] means for generating an electronic book file based on the layout;

[1426] means for outputting the electronic book file;

[1427] A system including:

[1428] (Claim 2)

[1429] 2. The system of claim 1, wherein the image data is a hand-drawn picture.

[1430] (Claim 3)

[1431] 2. The system of claim 1, wherein the electronic book file is in PDF format or electronic book format.

[1432] "Application example 2 when combining emotion engines"

[1433] (Claim 1)

[1434] means for receiving image data via a data input device;

[1435] means for analyzing the image data using an image analysis device to recognize at least one object;

[1436] means for analyzing the emotional state of a user using an emotion recognition device;

[1437] means for generating a narrative or instructional content based on the analysis and the emotional state using a text generator;

[1438] a means for combining the image data, the generated narrative or instructions to design a layout;

[1439] means for generating an electronic file based on the layout;

[1440] means for outputting the electronic file;

[1441] A system including:

[1442] (Claim 2)

[1443] 2. The system of claim 1, wherein the image data is a hand-drawn picture.

[1444] (Claim 3)

[1445] 2. The system of claim 1, wherein the electronic file is in PDF format or e-book format. [Explanation of symbols]

[1446] 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. means for receiving image data via a data input device; means for analyzing the image data using an image analysis device to recognize at least one object; means for generating a story based on the analysis results using a text generator; A means for designing a layout by combining image data and the generated story; means for generating an electronic book file based on the layout; means for outputting the electronic book file; A system including:

2. 2. The system of claim 1, wherein the image data is a hand-drawn picture.

3. The system of claim 1 , wherein the electronic book file is in PDF format or electronic book format.

Images