system

Abstract

We provide the system. [Solution] An information terminal that receives blueprints, An analysis device that analyzes the received design drawings and extracts the necessary instructions for each phase, A translation device that translates the analyzed instructions into a specified foreign language, A generation device that expresses translated instructions in audio, text, and video formats, A transmitting device that sends the generated information content to an information terminal, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the manufacturing and construction industries, efficiently training foreign workers to make them immediately effective is an important issue for many companies. However, due to language differences and insufficient technical understanding, the cost of educating foreign workers is high, and particularly, a great deal of effort is required to understand design drawings. Such an increase in education costs is squeezing the operations of small and medium-sized enterprises and hindering the improvement of production efficiency.

Means for Solving the Problems

[0005] To solve this problem, the present invention provides an analysis device that uses an information terminal to receive and analyze design drawings, identifies each phase of the design drawings, and extracts necessary instructions. The analyzed instructions are translated into a predetermined foreign language and generated in audio, text, and video formats. This multimodal information content is provided to foreign workers via the information terminal, allowing them to understand the instructions visually and intuitively, thereby reducing the cost and time required for training.

[0006] A "design drawing" is a diagram that visually shows the details of a structure or components in manufacturing or construction.

[0007] An "information terminal" is an electronic device used for receiving, displaying, and transmitting data, and is a device that provides an interface with the user.

[0008] An "analysis device" is hardware or software used to analyze input data and extract useful information from it.

[0009] A "translation device" is a device or software used to convert text written in one language into another language.

[0010] A "generation device" is a device that has the function of converting and creating digital content in formats such as audio, text, and video.

[0011] A "transmitting device" is hardware or software used to transfer generated digital data to other devices or terminals. [Brief explanation of the drawing]

[0012] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3]It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. ​​​​​​​​​​​​​​​​​In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0016] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0018] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and 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), or Bluetooth (registered trademark), etc.

[0019] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0023] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0024] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0025] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0026] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0027] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0030] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0031] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0032] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0033] This invention is a system for efficiently educating foreign workers, reducing the cost and effort required for design education by efficiently analyzing design drawings and providing the content in the foreign workers' native languages. This system has a complex configuration including an information terminal, a server, an analysis device, a translation device, a generation device, and a transmission device.

[0034] The user (designer) begins by uploading the design drawing to an information terminal. The terminal sends the received design drawing to a server, which then begins analyzing it. The analysis device analyzes the structure of the design drawing and automatically extracts the necessary instructions for each phase. This breaks down complex designs into easily understandable elements.

[0035] The extracted instructions are translated into the foreign worker's native language by a translation device. The translated instructions are then generated by a generation device not only as audio and text, but also as video content if necessary. This allows foreign workers to visually and intuitively understand the work content at each phase.

[0036] The server sends the multimodal instruction content generated during this process to the terminal. The user (foreign craftsman) receives this content through the terminal and can proceed with the work according to the instructions.

[0037] As a concrete example, when a designer uploads blueprints for a new construction project to the system, the server analyzes and extracts important phase-specific instructions from these blueprints, such as the placement of columns and the types of materials to be used. This information is then translated into an appropriate language, such as English, by a translation and generation device and sent to the terminal as voice guidance, text, and, in some cases, animated videos showing the installation procedure. Foreign workers can then use this information to carry out their work on-site.

[0038] As described above, this invention enables the simplification and efficiency of education for foreign workers, thereby contributing to the reduction of education costs for companies.

[0039] The following describes the processing flow.

[0040] Step 1:

[0041] The user selects the project design file using their device and uploads it to the system. The device checks the format of the selected design file and verifies that it is in the correct format.

[0042] Step 2:

[0043] The terminal sends the design file to the server. The server saves the received design file to its database and prepares to pass this file to the analysis device.

[0044] Step 3:

[0045] The server starts the analysis device and begins analyzing the design drawings. The analysis device uses OCR technology and CAD analysis tools to convert the design drawings into a digital format and extracts data for each phase.

[0046] Step 4:

[0047] Based on the analyzed data, the server extracts instructions for each phase identified within the design drawings. These instructions include information on work procedures and required materials.

[0048] Step 5:

[0049] The server sends the extracted instructions to the translation device, which translates them into the foreign worker's native language. The translation device uses a language translation API to convert the text into the target language.

[0050] Step 6:

[0051] The server passes the translated instructions to the generator, which generates the instructions in audio, text, and video formats. The generator uses a speech synthesis engine and video editing tools to create the appropriate content.

[0052] Step 7:

[0053] The server sends the completed multimodal instruction content to the terminal. The terminal stores the received content and prepares an interface for easy access by the craftsman.

[0054] Step 8:

[0055] Users (foreign craftsmen) can play or display multimodal content from their terminals and work while checking specific work instructions for each phase of the design drawings.

[0056] (Example 1)

[0057] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0058] To efficiently train foreign workers, design information must be quickly and accurately translated into each language and provided in a format that allows for intuitive visual and auditory understanding. However, traditional methods are inefficient, requiring significant time and cost for translating and expressing the design content. Solving this problem is essential.

[0059] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0060] In this invention, the server includes an information processing device for receiving design information, an analysis means for analyzing the received design information and extracting instruction information necessary for each process, a translation means for converting the analyzed instruction information into a predetermined foreign language, a generation means for expressing the converted instruction information in the form of audio, text, and video, and a communication means for transmitting the generated information expression to the information processing device. This enables foreign workers to quickly and accurately understand the design content in their own language and proceed with the work smoothly.

[0061] "Design information" refers to digital data and drawings that show the specific details of a design.

[0062] An "information processing device" refers to hardware or software used to send, receive, and process digital data.

[0063] "Analysis means" refers to programs or devices used to extract and analyze necessary information from received data.

[0064] "Instruction information" refers to information that indicates the necessary instructions and guidance content for the work process.

[0065] "Translation means" refers to a function or system for converting text written in one language into another language.

[0066] "Generative means" refers to processes and technologies for representing information in multiple formats, such as audio, text, and video.

[0067] "Communication means" refers to a function or infrastructure that transmits data or information to another device or user.

[0068] This invention is a system for efficiently training foreign workers and for accurately and effectively transmitting design information. Specific embodiments are described below.

[0069] The user first uploads the design information as a digital file to the information processing device. The terminal is responsible for sending this data to the server. The server uses analysis tools to break down the received design information and extract the instruction information necessary for each work process.

[0070] For analysis, general optical character recognition software and computer-aided design analysis tools are used. The server accurately translates the extracted instruction information into the target language via multilingual translation software. In this process, a generative AI model algorithm is used to achieve high-precision translation.

[0071] The server passes the translated information to the generation mechanism, which uses speech synthesis software and video editing tools to create multimodal content consisting of audio, text, and video. This content is then transmitted back to the terminal via the communication mechanism.

[0072] Foreign workers, as users, can receive this content through their devices, intuitively understand the tasks, and then perform them. For example, after uploading design information for a house construction project, the server can translate the instructions for installing pillars and the necessary materials, and generate video content.

[0073] A concrete example of a prompt message might be, "Translate the Japanese design information into English and generate audio guidance and a procedural video." This would allow the system to smoothly automate the analysis, translation, and content generation processes, supporting the user's on-site work.

[0074] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0075] Step 1:

[0076] The user uploads the design information as a digital file to the information processing device.

[0077] The system receives design files (e.g., CAD files) as input and prepares to send those files to the server. Specifically, it checks the file format and sets the transfer protocol.

[0078] Step 2:

[0079] The terminal sends the uploaded design information to the server.

[0080] The input is a design file, and the output is the transmission of the file to the server. Specifically, the terminal transfers the file to the server via the network and confirms receipt.

[0081] Step 3:

[0082] The server uses analysis tools to break down the received design information into data.

[0083] The input is a design file sent to the server, and the output is the analyzed instruction information. Specifically, optical character recognition or computer-aided design analysis is performed to extract the structure and component details of the design file.

[0084] Step 4:

[0085] The analysis device extracts instruction information necessary for each work process from the design information.

[0086] The input is analyzed data, and the output is instruction information for each process. Specifically, an algorithm is used to list detailed instructions such as installation location and materials to be used.

[0087] Step 5:

[0088] The server converts the extracted instruction information into a predetermined foreign language using a translation device.

[0089] The input is instruction information, and the output is translated instruction information. Specifically, a generative AI model is used to perform multilingual automatic translation.

[0090] Step 6:

[0091] The server converts the translated instruction information into audio, text, and video content using a generation mechanism.

[0092] The input is translated instruction information, and the output is multimodal content. Specific operations include content generation using text-to-speech software and video editing tools.

[0093] Step 7:

[0094] The server sends the generated content to the terminal via a communication method.

[0095] The input is the generated multimodal content, and the output is the transmission of that content to the terminal. Specifically, the operation involves setting the transmission protocol and initiating data transfer.

[0096] Step 8:

[0097] Users receive content provided through their devices and perform tasks based on that content.

[0098] The input is instruction content received on the terminal, and the output is the execution of the task. Specifically, the user listens to audio guides and watches videos while performing the task on-site.

[0099] (Application Example 1)

[0100] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0101] There is a lack of support systems in factories to enable foreign workers to perform their duties more efficiently. Specifically, it is difficult to quickly and accurately convey design information and work instructions to workers with different languages ​​and cultures. This can lead to misunderstandings, errors, and decreased work efficiency. New solutions are needed to make design drawings and work procedures easier to understand.

[0102] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0103] In this invention, the server includes a device means having a communication function for receiving design information, an analysis function means for analyzing the received design information and automatically extracting necessary instructions at each work stage, a language translation means for converting the analyzed instructions into the language of the target person, an information generation means for generating the translated instructions in the form of visual and audio information, and a communication means for transmitting the generated information to a communication device. This enables foreign workers to understand work instructions visually and aurally in their own language and to proceed with their work efficiently.

[0104] "Design information" refers to information such as drawings, specifications, and process plans that form the basis of the work.

[0105] "Devices and means having communication functions" refers to devices and their configurations that have the ability to send and receive data between different locations.

[0106] "Analysis function means" refers to a mechanism that analyzes input design information and automatically extracts relevant instructions from that information.

[0107] "Language translation means" refers to a process or device for converting information written in one language into another language.

[0108] "Information generation means that generate information in the form of visual and auditory information" refers to technologies and devices for outputting translated instructions in a format that is easy to see and hear.

[0109] "Communication means" refers to a mechanism for transmitting generated information to other devices or systems.

[0110] This invention will be specifically implemented as a support system for foreign workers in factories. The system will consist of a terminal with communication capabilities, a server with analysis capabilities, a language translation device, an information generation device, and communication means.

[0111] The user (factory manager) first uploads the necessary design information for the work to the server from a terminal with communication capabilities. The server analyzes the received design information through an analysis device and extracts the necessary instructions for each work stage. This analysis utilizes character recognition technology and design support tools to convert the design information into a format that can be recognized as electronic data.

[0112] The extracted instructions are translated into the native language of the foreign workers through a language translation device on the server. The translated instructions are then converted into visual and audio information by an information generation device. Audio technology and video editing software are used for this generation.

[0113] Subsequently, the generated visual and auditory information content is transmitted back to the terminal via communication functions. This allows foreign workers to understand work instructions in their native language visually and audibly, enabling them to perform their work efficiently.

[0114] As a concrete example, the server analyzes the assembly procedure for parts, translates it into the worker's native language, generates an animated video, and sends it to the worker's terminal. This allows workers to visually confirm the procedure, reduce errors, and improve productivity.

[0115] Example prompt: "Analyze the blueprints, translate them into the native language so that foreign workers can easily understand them, and visually demonstrate the work procedures with an animated video."

[0116] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0117] Step 1:

[0118] Users upload design information to the server from a terminal with communication capabilities. The input from the terminal is either a digital format or a scanned physical design drawing, which is then transferred to the server as output. Data transfer of the design information begins when the user presses the send button on the device.

[0119] Step 2:

[0120] The server analyzes the received design information using an analysis device and extracts the necessary instructions for each work stage. The server's input is the design information transmitted from the terminal, and its output is the extracted instruction data. As part of data processing, the design information is analyzed using character recognition technology and design support tools to identify important processes.

[0121] Step 3:

[0122] The server translates the extracted instructions into the foreign worker's native language using a language translation device. The input for this step is the analyzed instruction data, and the output is the translated instructions. By using translation software, the server outputs instructions that support multiple languages.

[0123] Step 4:

[0124] The server converts translated instructions into visual and audio information using an information generation device. The input is instructions translated into the native language, and the output is visually displayable video or playable audio data. Speech synthesis technology and video editing software are used.

[0125] Step 5:

[0126] The server transmits the generated visual and auditory information content to the terminal via its communication function. The input for this step is the generated content data, and the output is the terminal that received the content. The terminal displays and plays the received content through an application, allowing the foreign worker to understand and perform the assigned task.

[0127] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0128] This invention improves the quality of instructions given to users by combining a system that analyzes design drawings and provides effective instructions to foreign workers with an emotion engine that recognizes the user's emotions. This system includes an information terminal, an analysis device, a translation device, a generation device, a transmission device, and an emotion engine.

[0129] The user (designer) uploads the design drawings to the system using a terminal and begins preparing for the project. The terminal sends the design drawings to the server, which analyzes them using an analysis device. The analysis device converts the design drawings into digital data using OCR and CAD analysis technology and extracts important instructions for each phase.

[0130] The extracted instructions are translated into a foreign language via a translation device. Then, a generation device generates them as multimodal content, including audio, text, and video. The generated content is sent to the terminal by the server, allowing the user (foreign craftsman) to understand the instructions visually and intuitively.

[0131] The emotion engine analyzes the user's voice and facial expression data to recognize their emotions. Using this information, the generator adjusts the tone and speed of instructions, selecting the optimal instruction method according to the user's emotional state. For example, if the user is feeling stressed, the emotion engine generates voice instructions in a gentle tone and explained slowly. Furthermore, if the instructions are difficult to understand, it provides additional video explanations to aid the user's comprehension.

[0132] This system allows foreign workers to understand blueprints more effectively and carry out actual work more smoothly. The combination with an emotional engine enables personalized instructions for users, further improving training efficiency.

[0133] The following describes the processing flow.

[0134] Step 1:

[0135] The user selects a design file using a terminal and uploads it to the system. The terminal checks the format of the received design file and prepares to send it to the server.

[0136] Step 2:

[0137] The terminal sends the design file to the server. The server receives this file, saves it to a database, and then passes it to the analysis device as input data.

[0138] Step 3:

[0139] The server starts the analysis device to analyze the design drawings. The analysis device uses OCR and CAD analysis technology to convert the design drawings into digital data and analyzes and extracts the instructions for each phase.

[0140] Step 4:

[0141] The server passes the analyzed instructions to the translation device, which then translates them into the foreign worker's native language. The translation device uses a language translation API to translate the instruction text.

[0142] Step 5:

[0143] The server sends the translated instructions to the generator, which then generates content in audio, text, and video formats. The generator uses a speech synthesis engine and video editing tools to create the content.

[0144] Step 6:

[0145] The server sends the generated content to the terminal and simultaneously begins analyzing the user's emotions using the emotion engine.

[0146] Step 7:

[0147] The device stores content sent from the server and makes it accessible to the user. The emotion engine on the server analyzes the user's voice and facial expression data collected by the device to determine the user's emotional state.

[0148] Step 8:

[0149] The analysis results from the emotion engine are transferred to the generator, which adjusts the tone and speed of the instructions to match the user's emotions. The adjusted content is then played or displayed on the device.

[0150] Step 9:

[0151] The user (foreign craftsman) watches pre-configured instructions provided on the terminal and performs the work. Emotionally responsive instructions allow the user to perform the task smoothly.

[0152] (Example 2)

[0153] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0154] In an increasingly globalized world, smooth communication among workers with diverse languages ​​and cultures is crucial. However, a challenge remains: misunderstandings of design specifications can lead to decreased work efficiency on-site. Furthermore, instructions may not be properly conveyed due to a lack of consideration for workers' feelings. Solving these problems is essential.

[0155] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0156] In this invention, the server includes terminal means for receiving design information, analysis means for analyzing the received design information and extracting necessary instruction information for each stage, translation means for translating the translated instruction information into multiple languages, generation means for structuring the translated instruction information in the form of sound, text, and images, transmission means for transmitting the generated information to the terminal, and emotion analysis means for determining the user's emotions and adjusting the instructions. This makes it possible to provide instructions that are easy to understand and considerate of emotions to workers with different languages ​​and cultures.

[0157] "Design information" refers to information that shows the structure and layout necessary for a project, such as design drawings and specifications.

[0158] A "terminal device" is an information processing device that displays information and allows users to operate it.

[0159] "Analysis means" refers to a device or program that analyzes received information and extracts necessary data or instructions.

[0160] "Translation means" refers to a device or software used to convert extracted instructions or data into a different language.

[0161] "Generating means" refers to a device or program that constructs information in various forms (sound, text, images).

[0162] "Transmission means" refers to a device or program for sending generated information to another device or terminal.

[0163] An "emotion analysis tool" is a device or program that analyzes a user's emotions from their voice and facial expressions and adjusts the information provided accordingly.

[0164] This invention is a system that provides effective instructions to workers with different languages ​​and cultures through the reception, analysis, translation, generation, transmission, and sentiment analysis of design information. Embodiments thereof are described below.

[0165] Users upload design information to the system using a terminal. The terminal is an information processing device such as a tablet or personal computer, and has the function of sending design information to a server. The server receives this information and performs analysis using an analysis device. The analysis device uses OCR technology and CAD analysis technology to digitize the design information and extract instruction information for each stage.

[0166] The extracted instruction information is translated into multiple languages ​​using a translation device. The translation device utilizes a generative AI model to produce natural-sounding sentences. This translation process enables the provision of accurate instructions to workers who speak different languages.

[0167] The translated instructions are generated by a generation device as multimodal content such as sound, text, and images. Specifically, speech synthesis is used to generate the instructions as audio, and video editing technology is used to create the instructions as videos.

[0168] The generated content is transmitted to the terminal via a transmission device. The terminal receives it and displays it in a way that allows the user to understand the instructions visually and audibly.

[0169] Furthermore, the device sends the user's voice and facial expression data to an emotion analysis system. The emotion analysis system analyzes the user's emotional state and adjusts the tone and speed of instructions based on the results. For example, if the user is feeling stressed, it generates voice instructions in a gentle tone.

[0170] As a concrete example, when assembling certain structures at a construction site, this system analyzes the design information and generates multilingual instruction manuals. Furthermore, if the system detects that a worker is confused based on emotion analysis, it provides supplementary video explanations to aid the worker's understanding.

[0171] An example of a prompt might be: "Translate the specific instructions for part placement based on the design drawings into the native language for foreign workers, and generate a gentle-toned voice guide for users experiencing stress." In this way, cross-cultural communication barriers can be reduced and work efficiency can be improved.

[0172] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0173] Step 1: The user prepares the design information using a terminal. The design information is saved as a PDF or CAD file and then uploaded to the server via the terminal. The input is the design drawing file, and the output is the file transfer to the server.

[0174] Step 2: The server passes the received design information to the analysis device. The analysis device uses OCR technology to extract text from the design drawings and analyzes the geometric information using CAD analysis. The input in this process is the design information file, and the output is instruction information extracted at each stage. Specifically, it performs character recognition and geometric analysis to identify elements of work procedures and part placement.

[0175] Step 3: The server sends the extracted instruction information to the translation device. The translation device uses a generative AI model to translate the instruction information into different languages. The input is the instruction information, and the output is the instruction translated into multiple languages. Specifically, the model performs natural translation processing based on the input prompt sentence, taking into account specialized terminology used.

[0176] Step 4: The translated instructions are sent by the server to the generator. The generator uses speech synthesis and video generation technologies to produce the instructions in audio, text, and video formats. The input is the translated instruction information, and the output is multimodal content. For example, this may include creating a video demonstrating how to install a certain part and generating audio explanations related to it.

[0177] Step 5: The server sends the generated content to the terminal and provides it to the user. The terminal displays visual and auditory instructions to ensure the user understands them. The input is the generated content, and the output is the user's understanding. At this stage, the content can be manipulated interactively through the user interface.

[0178] Step 6: The terminal sends the user's voice and facial expression data to the emotion analysis system. The emotion analysis system analyzes the user's current emotional state and returns the results to the server. The input is voice and facial expression data, and the output is information about the user's emotional state. Emotion analysis allows for real-time assessment of the user's stress levels and level of understanding, which can then be used to inform the next step.

[0179] Step 7: The server performs a process of adjusting the tone and speed of instructions using a generator based on emotional state information. This allows for the provision of optimal instructions tailored to the user's emotions. The input is emotional state information, and the output is personalized instruction content. Specifically, this includes actions such as using slow-paced narration and providing supplementary information if the user is confused.

[0180] (Application Example 2)

[0181] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0182] Improving work efficiency in manufacturing requires accurately and effectively communicating design drawings and work instructions to foreign workers and automated equipment. However, differences in language and individual comprehension levels can lead to misunderstandings of instructions. Furthermore, it is difficult to respond flexibly to the emotions and circumstances of those receiving instructions, increasing the risk of stress and misunderstandings. This can lead to decreased work efficiency and increase the risk of errors and accidents.

[0183] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0184] In this invention, the server includes terminal means for receiving and analyzing design drawings, translation means for translating the analyzed instructions, generation means for generating the translated content in the form of audio, text information, and video, and emotion recognition means for recognizing the user's emotions and selecting the optimal instruction method. This makes it possible to provide flexible and effective instructions to foreign workers and automated machines that are tailored to their respective emotions and levels of understanding.

[0185] A "terminal device" is a device that receives design drawings and transmits data to a server.

[0186] An "analysis tool" is a device that analyzes the received design drawings and extracts the necessary instructions for each stage.

[0187] A "translation device" is a device that converts analyzed instructions into a predetermined foreign language.

[0188] A "generation means" is a device that assembles instructions in the form of audio, text information, and video.

[0189] A "transmission means" is a device for transmitting generated information content to a terminal.

[0190] An "emotion recognition device" is a device that analyzes the user's emotions and selects an instruction method that corresponds to those emotions.

[0191] The system for realizing this invention operates based on a terminal, a server, and user emotion recognition. Specifically, the terminal receives the design drawings and transmits them to the server. The server analyzes the received design drawings using an analysis device and extracts the necessary instructions at each stage. This analysis device uses OCR (optical character recognition) and CAD (computer-aided design) analysis technologies to convert the design drawings into digital data.

[0192] The instructions obtained through analysis are translated into multiple languages ​​using translation tools. This process can utilize cloud-based translation services such as Google® Cloud Translation API. The translated instructions are then transferred to a generation tool. The generation tool uses speech synthesis and video editing technologies to generate content in various formats based on the received data. At this stage, Microsoft® Azure® Cognitive Services can be used to acquire user emotion data and adjust the tone and speed of the speech and the content of the video.

[0193] The generated multimodal content is sent back to the terminal via a transmission device. This allows users to receive information visually and audibly, tailored to their level of understanding and emotional state. For example, if a user operating the robot for the first time is experiencing stress, the emotion recognition device can detect this state and provide a video containing gentle voice instructions and detailed explanations.

[0194] An example of a prompt message could be expressed as, "Analyze the design drawings for assembling new machine parts and generate instructions in a gentle tone for a stressed-out user."

[0195] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0196] Step 1:

[0197] The terminal receives the design drawings and sends the data to the server. The input is a design drawing file uploaded by the user, and the output is the design drawing data sent to the server. The terminal uses sensors and communication modules to generate an accurate digital copy of the design drawing and transmits it to the server via the network.

[0198] Step 2:

[0199] The server analyzes the received design drawing data using analysis tools. Here, OCR technology and CAD analysis technology are used to convert the design drawings into digital data and extract the necessary instructions at each stage. The input is the design drawing data, and the output is a list of the analyzed instructions. The server executes multiple analysis algorithms to quantify or categorize the design information.

[0200] Step 3:

[0201] The analyzed instructions are translated into multiple languages ​​through the server's translation tools. Multilingual instructions are generated using tools such as the Google Cloud Translation API. The input contains the analyzed instructions, and the output is the translated instructions. The server collaboratively activates the translation engine and translates each instruction into different languages ​​in real time.

[0202] Step 4:

[0203] The server uses a generation mechanism to convert translated instructions into multimodal content using speech synthesis and video editing technologies. The input is the translated instructions, and the output is audio, text, and video content. A content generation tool creates easy-to-understand guides for users.

[0204] Step 5:

[0205] The server sends the generated content to the terminal. The input is audio and video data, and the output is the terminal that receives it. Following the communication protocol, the server confirms that the data is successfully transferred, allowing the terminal to retrieve and play the data.

[0206] Step 6:

[0207] The server analyzes the user's emotional data using emotion recognition technology and adjusts the instructions based on that information. It uses Microsoft Azure Cognitive Services to recognize emotions from the user's facial expressions and voice. The input is the user's audio and video data, and the output is the adjusted instructions. Based on the emotion recognition results, the tone and speed of the instructions are dynamically changed to provide the user with an optimal learning experience.

[0208] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0209] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0210] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0211] [Second Embodiment]

[0212] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0213] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0214] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0215] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0216] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0217] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0218] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0219] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0220] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0221] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0222] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0223] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0224] This invention is a system for efficiently educating foreign workers, reducing the cost and effort required for design education by efficiently analyzing design drawings and providing the content in the foreign workers' native languages. This system has a complex configuration including an information terminal, a server, an analysis device, a translation device, a generation device, and a transmission device.

[0225] The user (designer) begins by uploading the design drawing to an information terminal. The terminal sends the received design drawing to a server, which then begins analyzing it. The analysis device analyzes the structure of the design drawing and automatically extracts the necessary instructions for each phase. This breaks down complex designs into easily understandable elements.

[0226] The extracted instructions are translated into the foreign worker's native language by a translation device. The translated instructions are then generated by a generation device not only as audio and text, but also as video content if necessary. This allows foreign workers to visually and intuitively understand the work content at each phase.

[0227] The server sends the multimodal instruction content generated during this process to the terminal. The user (foreign craftsman) receives this content through the terminal and can proceed with the work according to the instructions.

[0228] As a concrete example, when a designer uploads blueprints for a new construction project to the system, the server analyzes and extracts important phase-specific instructions from these blueprints, such as the placement of columns and the types of materials to be used. This information is then translated into an appropriate language, such as English, by a translation and generation device and sent to the terminal as voice guidance, text, and, in some cases, animated videos showing the installation procedure. Foreign workers can then use this information to carry out their work on-site.

[0229] As described above, this invention enables the simplification and efficiency of education for foreign workers, thereby contributing to the reduction of education costs for companies.

[0230] The following describes the processing flow.

[0231] Step 1:

[0232] The user selects the project design file using their device and uploads it to the system. The device checks the format of the selected design file and verifies that it is in the correct format.

[0233] Step 2:

[0234] The terminal sends the design file to the server. The server saves the received design file to its database and prepares to pass this file to the analysis device.

[0235] Step 3:

[0236] The server starts the analysis device and begins analyzing the design drawings. The analysis device uses OCR technology and CAD analysis tools to convert the design drawings into a digital format and extracts data for each phase.

[0237] Step 4:

[0238] Based on the analyzed data, the server extracts instructions for each phase identified within the design drawings. These instructions include information on work procedures and required materials.

[0239] Step 5:

[0240] The server sends the extracted instructions to the translation device, which translates them into the foreign worker's native language. The translation device uses a language translation API to convert the text into the target language.

[0241] Step 6:

[0242] The server passes the translated instructions to the generator, which generates the instructions in audio, text, and video formats. The generator uses a speech synthesis engine and video editing tools to create the appropriate content.

[0243] Step 7:

[0244] The server sends the completed multimodal instruction content to the terminal. The terminal stores the received content and prepares an interface for easy access by the craftsman.

[0245] Step 8:

[0246] Users (foreign craftsmen) can play or display multimodal content from their terminals and work while checking specific work instructions for each phase of the design drawings.

[0247] (Example 1)

[0248] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0249] To efficiently train foreign workers, design information must be quickly and accurately translated into each language and provided in a format that allows for intuitive visual and auditory understanding. However, traditional methods are inefficient, requiring significant time and cost for translating and expressing the design content. Solving this problem is essential.

[0250] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0251] In this invention, the server includes an information processing device for receiving design information, an analysis means for analyzing the received design information and extracting instruction information necessary for each process, a translation means for converting the analyzed instruction information into a predetermined foreign language, a generation means for expressing the converted instruction information in the form of audio, text, and video, and a communication means for transmitting the generated information expression to the information processing device. This enables foreign workers to quickly and accurately understand the design content in their own language and proceed with the work smoothly.

[0252] "Design information" refers to digital data and drawings that show the specific details of a design.

[0253] An "information processing device" refers to hardware or software used to send, receive, and process digital data.

[0254] "Analysis means" refers to programs or devices used to extract and analyze necessary information from received data.

[0255] "Instruction information" refers to information that indicates the necessary instructions and guidance content for the work process.

[0256] "Translation means" refers to a function or system for converting text written in one language into another language.

[0257] "Generative means" refers to processes and technologies for representing information in multiple formats, such as audio, text, and video.

[0258] "Communication means" refers to a function or infrastructure that transmits data or information to another device or user.

[0259] This invention is a system for efficiently training foreign workers and for accurately and effectively transmitting design information. Specific embodiments are described below.

[0260] The user first uploads the design information as a digital file to the information processing device. The terminal is responsible for sending this data to the server. The server uses analysis tools to break down the received design information and extract the instruction information necessary for each work process.

[0261] For analysis, general optical character recognition software and computer-aided design analysis tools are used. The server accurately translates the extracted instruction information into the target language via multilingual translation software. In this process, a generative AI model algorithm is used to achieve high-precision translation.

[0262] The server passes the translated information to the generation mechanism, which uses speech synthesis software and video editing tools to create multimodal content consisting of audio, text, and video. This content is then transmitted back to the terminal via the communication mechanism.

[0263] Foreign workers, as users, can receive this content through their devices, intuitively understand the tasks, and then perform them. For example, after uploading design information for a house construction project, the server can translate the instructions for installing pillars and the necessary materials, and generate video content.

[0264] A concrete example of a prompt message might be, "Translate the Japanese design information into English and generate audio guidance and a procedural video." This would allow the system to smoothly automate the analysis, translation, and content generation processes, supporting the user's on-site work.

[0265] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0266] Step 1:

[0267] The user uploads the design information as a digital file to the information processing device.

[0268] The system receives design files (e.g., CAD files) as input and prepares to send those files to the server. Specifically, it checks the file format and sets the transfer protocol.

[0269] Step 2:

[0270] The terminal sends the uploaded design information to the server.

[0271] The input is a design file, and the output is the transmission of the file to the server. Specifically, the terminal transfers the file to the server via the network and confirms receipt.

[0272] Step 3:

[0273] The server decomposes the received design information into data using analysis means.

[0274] The input is the design file sent to the server, and the output is the analyzed instruction information. Specifically, perform optical character recognition or computer-aided design analysis to extract the structure of the design file and details of the components.

[0275] Step 4:

[0276] The analysis device extracts the instruction information required for each working process from the design information.

[0277] The input is the analyzed data, and the output is the instruction information for each process. As a specific operation, use an algorithm to list detailed instructions such as installation positions and materials used.

[0278] Step 5:

[0279] The server converts the extracted instruction information into a predetermined foreign language using translation means. [[ID=3?]]

[0280] The input is the instruction information, and the output is the translated instruction information. Specifically, perform multilingual automatic translation using a generative AI model.

[0281] Step 6:

[0282] The server converts the translated instruction information into audio, text, and video content by means of generation.

[0283] The input is the translated instruction information, and the output is multimodal content. Specific operations include content generation using voice synthesis software and video editing tools.

[0284] Step 7:

[0285] The server transmits the generated content to the terminal by means of communication.

[0286] The input is the generated multimodal content and the output is the content transmission to the terminal. As specific operations, a transmission protocol is set and data transfer is started.

[0287] Step 8:

[0288] The user receives the content provided through the terminal and performs operations based on it.

[0289] The input is the instruction content received by the terminal and the output is the execution of the operation. Specifically, the user listens to the voice guide and performs on-site work while watching the video.

[0290] (Application Example 1)

[0291] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server" and the smart glasses 214 are referred to as the "terminal".

[0292] There is a lack of a support system in the factory to enable foreign workers to engage in their work more efficiently. Specifically, it is difficult to quickly and accurately convey design information and work instructions to workers with different languages and cultures. This may lead to misunderstandings, mistakes, and a decrease in work efficiency. A new solution is required to make design drawings and work procedures easier to understand.

[0293] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following respective means.

[0294] In this invention, the server includes a device means having a communication function for receiving design information, an analysis function means for analyzing the received design information and automatically extracting necessary instructions at each work stage, a language translation means for converting the analyzed instructions into the language of the target person, an information generation means for generating the translated instructions in the form of visual and audio information, and a communication means for transmitting the generated information to a communication device. This enables foreign workers to understand work instructions visually and aurally in their own language and to proceed with their work efficiently.

[0295] "Design information" refers to information such as drawings, specifications, and process plans that form the basis of the work.

[0296] "Devices and means having communication functions" refers to devices and their configurations that have the ability to send and receive data between different locations.

[0297] "Analysis function means" refers to a mechanism that analyzes input design information and automatically extracts relevant instructions from that information.

[0298] "Language translation means" refers to a process or device for converting information written in one language into another language.

[0299] "Information generation means that generate information in the form of visual and auditory information" refers to technologies and devices for outputting translated instructions in a format that is easy to see and hear.

[0300] "Communication means" refers to a mechanism for transmitting generated information to other devices or systems.

[0301] This invention will be specifically implemented as a support system for foreign workers in factories. The system will consist of a terminal with communication capabilities, a server with analysis capabilities, a language translation device, an information generation device, and communication means.

[0302] The user (the factory manager) first uploads the design information required for the work from a terminal with communication capabilities to the server. The server analyzes the received design information through an analysis device and extracts the instructions required for each work stage. For this analysis, techniques such as character recognition technology that converts the design information into a form recognizable as electronic data and analysis using design support tools are utilized.

[0303] The extracted instructions are translated into the native language that is easy for foreign workers to understand through a language translation device in the server. The translated instructions are further converted into the form of visual information and audio information by an information generation device. For this generation, audio technology and video editing software are used.

[0304] After that, the generated visual and auditory information content is transmitted to the terminal again through the communication function. As a result, foreign workers can visually and auditorily understand the work instructions in their native language, enabling efficient work performance.

[0305] As a specific example, the server analyzes the assembly work procedure of parts, translates the procedure into the native language, generates it as an animated video, and transmits it to the worker's terminal. As a result, workers can visually confirm the procedure while reducing work mistakes and improving productivity.

[0306] Example of a prompt sentence: "Analyze the design drawing, translate it into the native language so that foreign workers can easily understand it, and visually show the work procedure in an animated video."

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

[0308] Step 1:

[0309] The user uploads the design information from a terminal with communication capabilities to the server. The input of the terminal is a digital form or a scanned physical design drawing, and it is transferred to the server as output. When the user presses the send button via the device, the data transfer of the design information is started.

[0310] Step 2:

[0311] The server analyzes the received design information using an analysis device and extracts the necessary instructions for each work stage. The server's input is the design information transmitted from the terminal, and its output is the extracted instruction data. As part of data processing, the design information is analyzed using character recognition technology and design support tools to identify important processes.

[0312] Step 3:

[0313] The server translates the extracted instructions into the foreign worker's native language using a language translation device. The input for this step is the analyzed instruction data, and the output is the translated instructions. By using translation software, the server outputs instructions that support multiple languages.

[0314] Step 4:

[0315] The server converts translated instructions into visual and audio information using an information generation device. The input is instructions translated into the native language, and the output is visually displayable video or playable audio data. Speech synthesis technology and video editing software are used.

[0316] Step 5:

[0317] The server transmits the generated visual and auditory information content to the terminal via its communication function. The input for this step is the generated content data, and the output is the terminal that received the content. The terminal displays and plays the received content through an application, allowing the foreign worker to understand and perform the assigned task.

[0318] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0319] This invention improves the quality of instructions given to users by combining a system that analyzes design drawings and provides effective instructions to foreign workers with an emotion engine that recognizes the user's emotions. This system includes an information terminal, an analysis device, a translation device, a generation device, a transmission device, and an emotion engine.

[0320] The user (designer) uploads the design drawings to the system using a terminal and begins preparing for the project. The terminal sends the design drawings to the server, which analyzes them using an analysis device. The analysis device converts the design drawings into digital data using OCR and CAD analysis technology and extracts important instructions for each phase.

[0321] The extracted instructions are translated into a foreign language via a translation device. Then, a generation device generates them as multimodal content, including audio, text, and video. The generated content is sent to the terminal by the server, allowing the user (foreign craftsman) to understand the instructions visually and intuitively.

[0322] The emotion engine analyzes the user's voice and facial expression data to recognize their emotions. Using this information, the generator adjusts the tone and speed of instructions, selecting the optimal instruction method according to the user's emotional state. For example, if the user is feeling stressed, the emotion engine generates voice instructions in a gentle tone and explained slowly. Furthermore, if the instructions are difficult to understand, it provides additional video explanations to aid the user's comprehension.

[0323] This system allows foreign workers to understand blueprints more effectively and carry out actual work more smoothly. The combination with an emotional engine enables personalized instructions for users, further improving training efficiency.

[0324] The following describes the processing flow.

[0325] Step 1:

[0326] The user selects a design file using a terminal and uploads it to the system. The terminal checks the format of the received design file and prepares to send it to the server.

[0327] Step 2:

[0328] The terminal sends the design file to the server. The server receives this file, saves it to a database, and then passes it to the analysis device as input data.

[0329] Step 3:

[0330] The server starts the analysis device to analyze the design drawings. The analysis device uses OCR and CAD analysis technology to convert the design drawings into digital data and analyzes and extracts the instructions for each phase.

[0331] Step 4:

[0332] The server passes the analyzed instructions to the translation device, which then translates them into the foreign worker's native language. The translation device uses a language translation API to translate the instruction text.

[0333] Step 5:

[0334] The server sends the translated instructions to the generator, which then generates content in audio, text, and video formats. The generator uses a speech synthesis engine and video editing tools to create the content.

[0335] Step 6:

[0336] The server sends the generated content to the terminal and simultaneously begins analyzing the user's emotions using the emotion engine.

[0337] Step 7:

[0338] The device stores content sent from the server and makes it accessible to the user. The emotion engine on the server analyzes the user's voice and facial expression data collected by the device to determine the user's emotional state.

[0339] Step 8:

[0340] The analysis results from the emotion engine are transferred to the generator, which adjusts the tone and speed of the instructions to match the user's emotions. The adjusted content is then played or displayed on the device.

[0341] Step 9:

[0342] The user (foreign craftsman) watches pre-configured instructions provided on the terminal and performs the work. Emotionally responsive instructions allow the user to perform the task smoothly.

[0343] (Example 2)

[0344] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0345] In an increasingly globalized world, smooth communication among workers with diverse languages ​​and cultures is crucial. However, a challenge remains: misunderstandings of design specifications can lead to decreased work efficiency on-site. Furthermore, instructions may not be properly conveyed due to a lack of consideration for workers' feelings. Solving these problems is essential.

[0346] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0347] In this invention, the server includes terminal means for receiving design information, analysis means for analyzing the received design information and extracting necessary instruction information for each stage, translation means for translating the translated instruction information into multiple languages, generation means for structuring the translated instruction information in the form of sound, text, and images, transmission means for transmitting the generated information to the terminal, and emotion analysis means for determining the user's emotions and adjusting the instructions. This makes it possible to provide instructions that are easy to understand and considerate of emotions to workers with different languages ​​and cultures.

[0348] "Design information" refers to information that shows the structure and layout necessary for a project, such as design drawings and specifications.

[0349] A "terminal device" is an information processing device that displays information and allows users to operate it.

[0350] "Analysis means" refers to a device or program that analyzes received information and extracts necessary data or instructions.

[0351] "Translation means" refers to a device or software used to convert extracted instructions or data into a different language.

[0352] "Generating means" refers to a device or program that constructs information in various forms (sound, text, images).

[0353] "Transmission means" refers to a device or program for sending generated information to another device or terminal.

[0354] An "emotion analysis tool" is a device or program that analyzes a user's emotions from their voice and facial expressions and adjusts the information provided accordingly.

[0355] This invention is a system that provides effective instructions to workers with different languages ​​and cultures through the reception, analysis, translation, generation, transmission, and sentiment analysis of design information. Embodiments thereof are described below.

[0356] Users upload design information to the system using a terminal. The terminal is an information processing device such as a tablet or personal computer, and has the function of sending design information to a server. The server receives this information and performs analysis using an analysis device. The analysis device uses OCR technology and CAD analysis technology to digitize the design information and extract instruction information for each stage.

[0357] The extracted instruction information is translated into multiple languages ​​using a translation device. The translation device utilizes a generative AI model to produce natural-sounding sentences. This translation process enables the provision of accurate instructions to workers who speak different languages.

[0358] The translated instructions are generated by a generation device as multimodal content such as sound, text, and images. Specifically, speech synthesis is used to generate the instructions as audio, and video editing technology is used to create the instructions as videos.

[0359] The generated content is transmitted to the terminal via a transmission device. The terminal receives it and displays it in a way that allows the user to understand the instructions visually and audibly.

[0360] Furthermore, the device sends the user's voice and facial expression data to an emotion analysis system. The emotion analysis system analyzes the user's emotional state and adjusts the tone and speed of instructions based on the results. For example, if the user is feeling stressed, it generates voice instructions in a gentle tone.

[0361] As a concrete example, when assembling certain structures at a construction site, this system analyzes the design information and generates multilingual instruction manuals. Furthermore, if the system detects that a worker is confused based on emotion analysis, it provides supplementary video explanations to aid the worker's understanding.

[0362] An example of a prompt might be: "Translate the specific instructions for part placement based on the design drawings into the native language for foreign workers, and generate a gentle-toned voice guide for users experiencing stress." In this way, cross-cultural communication barriers can be reduced and work efficiency can be improved.

[0363] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0364] Step 1: The user prepares the design information using a terminal. The design information is saved as a PDF or CAD file and then uploaded to the server via the terminal. The input is the design drawing file, and the output is the file transfer to the server.

[0365] Step 2: The server passes the received design information to the analysis device. The analysis device uses OCR technology to extract text from the design drawings and analyzes the geometric information using CAD analysis. The input in this process is the design information file, and the output is instruction information extracted at each stage. Specifically, it performs character recognition and geometric analysis to identify elements of work procedures and part placement.

[0366] Step 3: The server sends the extracted instruction information to the translation device. The translation device uses a generative AI model to translate the instruction information into different languages. The input is the instruction information, and the output is the instruction translated into multiple languages. Specifically, the model performs natural translation processing based on the input prompt sentence, taking into account specialized terminology used.

[0367] Step 4: The translated instructions are sent by the server to the generator. The generator uses speech synthesis and video generation technologies to produce the instructions in audio, text, and video formats. The input is the translated instruction information, and the output is multimodal content. For example, this may include creating a video demonstrating how to install a certain part and generating audio explanations related to it.

[0368] Step 5: The server sends the generated content to the terminal and provides it to the user. The terminal displays visual and auditory instructions to ensure the user understands them. The input is the generated content, and the output is the user's understanding. At this stage, the content can be manipulated interactively through the user interface.

[0369] Step 6: The terminal sends the user's voice and facial expression data to the emotion analysis system. The emotion analysis system analyzes the user's current emotional state and returns the results to the server. The input is voice and facial expression data, and the output is information about the user's emotional state. Emotion analysis allows for real-time assessment of the user's stress levels and level of understanding, which can then be used to inform the next step.

[0370] Step 7: The server performs a process of adjusting the tone and speed of instructions using a generator based on emotional state information. This allows for the provision of optimal instructions tailored to the user's emotions. The input is emotional state information, and the output is personalized instruction content. Specifically, this includes actions such as using slow-paced narration and providing supplementary information if the user is confused.

[0371] (Application Example 2)

[0372] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0373] Improving work efficiency in manufacturing requires accurately and effectively communicating design drawings and work instructions to foreign workers and automated equipment. However, differences in language and individual comprehension levels can lead to misunderstandings of instructions. Furthermore, it is difficult to respond flexibly to the emotions and circumstances of those receiving instructions, increasing the risk of stress and misunderstandings. This can lead to decreased work efficiency and increase the risk of errors and accidents.

[0374] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0375] In this invention, the server includes terminal means for receiving and analyzing design drawings, translation means for translating the analyzed instructions, generation means for generating the translated content in the form of audio, text information, and video, and emotion recognition means for recognizing the user's emotions and selecting the optimal instruction method. This makes it possible to provide flexible and effective instructions to foreign workers and automated machines that are tailored to their respective emotions and levels of understanding.

[0376] A "terminal device" is a device that receives design drawings and transmits data to a server.

[0377] An "analysis tool" is a device that analyzes the received design drawings and extracts the necessary instructions for each stage.

[0378] A "translation device" is a device that converts analyzed instructions into a predetermined foreign language.

[0379] A "generation means" is a device that assembles instructions in the form of audio, text information, and video.

[0380] A "transmission means" is a device for transmitting generated information content to a terminal.

[0381] An "emotion recognition device" is a device that analyzes the user's emotions and selects an instruction method that corresponds to those emotions.

[0382] The system for realizing this invention operates based on a terminal, a server, and user emotion recognition. Specifically, the terminal receives the design drawings and transmits them to the server. The server analyzes the received design drawings using an analysis device and extracts the necessary instructions at each stage. This analysis device uses OCR (optical character recognition) and CAD (computer-aided design) analysis technologies to convert the design drawings into digital data.

[0383] The instructions obtained through analysis are translated into multiple languages ​​using translation tools. Cloud-based translation services such as the Google Cloud Translation API can be used for this process. The translated instructions are then transferred to a generation tool. The generation tool uses speech synthesis and video editing technologies to generate content in various formats based on the received data. At this stage, Microsoft Azure Cognitive Services can be used to acquire user emotion data and adjust the tone and speed of the speech and the content of the video.

[0384] The generated multimodal content is sent back to the terminal via a transmission device. This allows users to receive information visually and audibly, tailored to their level of understanding and emotional state. For example, if a user operating the robot for the first time is experiencing stress, the emotion recognition device can detect this state and provide a video containing gentle voice instructions and detailed explanations.

[0385] An example of a prompt message could be expressed as, "Analyze the design drawings for assembling new machine parts and generate instructions in a gentle tone for a stressed-out user."

[0386] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0387] Step 1:

[0388] The terminal receives the design drawings and sends the data to the server. The input is a design drawing file uploaded by the user, and the output is the design drawing data sent to the server. The terminal uses sensors and communication modules to generate an accurate digital copy of the design drawing and transmits it to the server via the network.

[0389] Step 2:

[0390] The server analyzes the received design drawing data using analysis tools. Here, OCR technology and CAD analysis technology are used to convert the design drawings into digital data and extract the necessary instructions at each stage. The input is the design drawing data, and the output is a list of the analyzed instructions. The server executes multiple analysis algorithms to quantify or categorize the design information.

[0391] Step 3:

[0392] The analyzed instructions are translated into multiple languages ​​through the server's translation tools. Multilingual instructions are generated using tools such as the Google Cloud Translation API. The input contains the analyzed instructions, and the output is the translated instructions. The server collaboratively activates the translation engine and translates each instruction into different languages ​​in real time.

[0393] Step 4:

[0394] The server uses a generation mechanism to convert translated instructions into multimodal content using speech synthesis and video editing technologies. The input is the translated instructions, and the output is audio, text, and video content. A content generation tool creates easy-to-understand guides for users.

[0395] Step 5:

[0396] The server sends the generated content to the terminal. The input is audio and video data, and the output is the terminal that receives it. Following the communication protocol, the server confirms that the data is successfully transferred, allowing the terminal to retrieve and play the data.

[0397] Step 6:

[0398] The server analyzes the user's emotional data using emotion recognition technology and adjusts the instructions based on that information. It uses Microsoft Azure Cognitive Services to recognize emotions from the user's facial expressions and voice. The input is the user's audio and video data, and the output is the adjusted instructions. Based on the emotion recognition results, the tone and speed of the instructions are dynamically changed to provide the user with an optimal learning experience.

[0399] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0400] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0401] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0402] [Third Embodiment]

[0403] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0404] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0405] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0406] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0407] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0408] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0409] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0410] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0411] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0412] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0413] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0414] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0415] This invention is a system for efficiently educating foreign workers, reducing the cost and effort required for design education by efficiently analyzing design drawings and providing the content in the foreign workers' native languages. This system has a complex configuration including an information terminal, a server, an analysis device, a translation device, a generation device, and a transmission device.

[0416] The user (designer) begins by uploading the design drawing to an information terminal. The terminal sends the received design drawing to a server, which then begins analyzing it. The analysis device analyzes the structure of the design drawing and automatically extracts the necessary instructions for each phase. This breaks down complex designs into easily understandable elements.

[0417] The extracted instructions are translated into the foreign worker's native language by a translation device. The translated instructions are then generated by a generation device not only as audio and text, but also as video content if necessary. This allows foreign workers to visually and intuitively understand the work content at each phase.

[0418] The server sends the multimodal instruction content generated during this process to the terminal. The user (foreign craftsman) receives this content through the terminal and can proceed with the work according to the instructions.

[0419] As a concrete example, when a designer uploads blueprints for a new construction project to the system, the server analyzes and extracts important phase-specific instructions from these blueprints, such as the placement of columns and the types of materials to be used. This information is then translated into an appropriate language, such as English, by a translation and generation device and sent to the terminal as voice guidance, text, and, in some cases, animated videos showing the installation procedure. Foreign workers can then use this information to carry out their work on-site.

[0420] As described above, this invention enables the simplification and efficiency of education for foreign workers, thereby contributing to the reduction of education costs for companies.

[0421] The following describes the processing flow.

[0422] Step 1:

[0423] The user selects the project design file using their device and uploads it to the system. The device checks the format of the selected design file and verifies that it is in the correct format.

[0424] Step 2:

[0425] The terminal sends the design file to the server. The server saves the received design file to its database and prepares to pass this file to the analysis device.

[0426] Step 3:

[0427] The server starts the analysis device and begins analyzing the design drawings. The analysis device uses OCR technology and CAD analysis tools to convert the design drawings into a digital format and extracts data for each phase.

[0428] Step 4:

[0429] Based on the analyzed data, the server extracts instructions for each phase identified within the design drawings. These instructions include information on work procedures and required materials.

[0430] Step 5:

[0431] The server sends the extracted instructions to the translation device, which translates them into the foreign worker's native language. The translation device uses a language translation API to convert the text into the target language.

[0432] Step 6:

[0433] The server passes the translated instructions to the generator, which generates the instructions in audio, text, and video formats. The generator uses a speech synthesis engine and video editing tools to create the appropriate content.

[0434] Step 7:

[0435] The server sends the completed multimodal instruction content to the terminal. The terminal stores the received content and prepares an interface for easy access by the craftsman.

[0436] Step 8:

[0437] Users (foreign craftsmen) can play or display multimodal content from their terminals and work while checking specific work instructions for each phase of the design drawings.

[0438] (Example 1)

[0439] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0440] To efficiently train foreign workers, design information must be quickly and accurately translated into each language and provided in a format that allows for intuitive visual and auditory understanding. However, traditional methods are inefficient, requiring significant time and cost for translating and expressing the design content. Solving this problem is essential.

[0441] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0442] In this invention, the server includes an information processing device for receiving design information, an analysis means for analyzing the received design information and extracting instruction information necessary for each process, a translation means for converting the analyzed instruction information into a predetermined foreign language, a generation means for expressing the converted instruction information in the form of audio, text, and video, and a communication means for transmitting the generated information expression to the information processing device. This enables foreign workers to quickly and accurately understand the design content in their own language and proceed with the work smoothly.

[0443] "Design information" refers to digital data and drawings that show the specific details of a design.

[0444] An "information processing device" refers to hardware or software used to send, receive, and process digital data.

[0445] "Analysis means" refers to programs or devices used to extract and analyze necessary information from received data.

[0446] "Instruction information" refers to information that indicates the necessary instructions and guidance content for the work process.

[0447] "Translation means" refers to a function or system for converting text written in one language into another language.

[0448] "Generative means" refers to processes and technologies for representing information in multiple formats, such as audio, text, and video.

[0449] "Communication means" refers to a function or infrastructure that transmits data or information to another device or user.

[0450] This invention is a system for efficiently training foreign workers and for accurately and effectively transmitting design information. Specific embodiments are described below.

[0451] The user first uploads the design information as a digital file to the information processing device. The terminal is responsible for sending this data to the server. The server uses analysis tools to break down the received design information and extract the instruction information necessary for each work process.

[0452] For analysis, general optical character recognition software and computer-aided design analysis tools are used. The server accurately translates the extracted instruction information into the target language via multilingual translation software. In this process, a generative AI model algorithm is used to achieve high-precision translation.

[0453] The server passes the translated information to the generation mechanism, which uses speech synthesis software and video editing tools to create multimodal content consisting of audio, text, and video. This content is then transmitted back to the terminal via the communication mechanism.

[0454] Foreign workers, as users, can receive this content through their devices, intuitively understand the tasks, and then perform them. For example, after uploading design information for a house construction project, the server can translate the instructions for installing pillars and the necessary materials, and generate video content.

[0455] A concrete example of a prompt message might be, "Translate the Japanese design information into English and generate audio guidance and a procedural video." This would allow the system to smoothly automate the analysis, translation, and content generation processes, supporting the user's on-site work.

[0456] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0457] Step 1:

[0458] The user uploads the design information as a digital file to the information processing device.

[0459] The system receives design files (e.g., CAD files) as input and prepares to send those files to the server. Specifically, it checks the file format and sets the transfer protocol.

[0460] Step 2:

[0461] The terminal sends the uploaded design information to the server.

[0462] The input is a design file, and the output is the transmission of the file to the server. Specifically, the terminal transfers the file to the server via the network and confirms receipt.

[0463] Step 3:

[0464] The server uses analysis tools to break down the received design information into data.

[0465] The input is a design file sent to the server, and the output is the analyzed instruction information. Specifically, optical character recognition or computer-aided design analysis is performed to extract the structure and component details of the design file.

[0466] Step 4:

[0467] The analysis device extracts instruction information necessary for each work process from the design information.

[0468] The input is analyzed data, and the output is instruction information for each process. Specifically, an algorithm is used to list detailed instructions such as installation location and materials to be used.

[0469] Step 5:

[0470] The server converts the extracted instruction information into a predetermined foreign language using a translation device.

[0471] The input is instruction information, and the output is translated instruction information. Specifically, a generative AI model is used to perform multilingual automatic translation.

[0472] Step 6:

[0473] The server converts the translated instruction information into audio, text, and video content using a generation mechanism.

[0474] The input is translated instruction information, and the output is multimodal content. Specific operations include content generation using text-to-speech software and video editing tools.

[0475] Step 7:

[0476] The server sends the generated content to the terminal via a communication method.

[0477] The input is the generated multimodal content, and the output is the transmission of that content to the terminal. Specifically, the operation involves setting the transmission protocol and initiating data transfer.

[0478] Step 8:

[0479] Users receive content provided through their devices and perform tasks based on that content.

[0480] The input is instruction content received on the terminal, and the output is the execution of the task. Specifically, the user listens to audio guides and watches videos while performing the task on-site.

[0481] (Application Example 1)

[0482] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0483] There is a lack of support systems in factories to enable foreign workers to perform their duties more efficiently. Specifically, it is difficult to quickly and accurately convey design information and work instructions to workers with different languages ​​and cultures. This can lead to misunderstandings, errors, and decreased work efficiency. New solutions are needed to make design drawings and work procedures easier to understand.

[0484] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0485] In this invention, the server includes a device means having a communication function for receiving design information, an analysis function means for analyzing the received design information and automatically extracting necessary instructions at each work stage, a language translation means for converting the analyzed instructions into the language of the target person, an information generation means for generating the translated instructions in the form of visual and audio information, and a communication means for transmitting the generated information to a communication device. This enables foreign workers to understand work instructions visually and aurally in their own language and to proceed with their work efficiently.

[0486] "Design information" refers to information such as drawings, specifications, and process plans that form the basis of the work.

[0487] "Devices and means having communication functions" refers to devices and their configurations that have the ability to send and receive data between different locations.

[0488] "Analysis function means" refers to a mechanism that analyzes input design information and automatically extracts relevant instructions from that information.

[0489] "Language translation means" refers to a process or device for converting information written in one language into another language.

[0490] "Information generation means that generate information in the form of visual and auditory information" refers to technologies and devices for outputting translated instructions in a format that is easy to see and hear.

[0491] "Communication means" refers to a mechanism for transmitting generated information to other devices or systems.

[0492] This invention will be specifically implemented as a support system for foreign workers in factories. The system will consist of a terminal with communication capabilities, a server with analysis capabilities, a language translation device, an information generation device, and communication means.

[0493] The user (factory manager) first uploads the necessary design information for the work to the server from a terminal with communication capabilities. The server analyzes the received design information through an analysis device and extracts the necessary instructions for each work stage. This analysis utilizes character recognition technology and design support tools to convert the design information into a format that can be recognized as electronic data.

[0494] The extracted instructions are translated into the native language of the foreign workers through a language translation device on the server. The translated instructions are then converted into visual and audio information by an information generation device. Audio technology and video editing software are used for this generation.

[0495] Subsequently, the generated visual and auditory information content is transmitted back to the terminal via communication functions. This allows foreign workers to understand work instructions in their native language visually and audibly, enabling them to perform their work efficiently.

[0496] As a concrete example, the server analyzes the assembly procedure for parts, translates it into the worker's native language, generates an animated video, and sends it to the worker's terminal. This allows workers to visually confirm the procedure, reduce errors, and improve productivity.

[0497] Example prompt: "Analyze the blueprints, translate them into the native language so that foreign workers can easily understand them, and visually demonstrate the work procedures with an animated video."

[0498] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0499] Step 1:

[0500] Users upload design information to the server from a terminal with communication capabilities. The input from the terminal is either a digital format or a scanned physical design drawing, which is then transferred to the server as output. Data transfer of the design information begins when the user presses the send button on the device.

[0501] Step 2:

[0502] The server analyzes the received design information using an analysis device and extracts the necessary instructions for each work stage. The server's input is the design information transmitted from the terminal, and its output is the extracted instruction data. As part of data processing, the design information is analyzed using character recognition technology and design support tools to identify important processes.

[0503] Step 3:

[0504] The server translates the extracted instructions into the foreign worker's native language using a language translation device. The input for this step is the analyzed instruction data, and the output is the translated instructions. By using translation software, the server outputs instructions that support multiple languages.

[0505] Step 4:

[0506] The server converts translated instructions into visual and audio information using an information generation device. The input is instructions translated into the native language, and the output is visually displayable video or playable audio data. Speech synthesis technology and video editing software are used.

[0507] Step 5:

[0508] The server transmits the generated visual and auditory information content to the terminal via its communication function. The input for this step is the generated content data, and the output is the terminal that received the content. The terminal displays and plays the received content through an application, allowing the foreign worker to understand and perform the assigned task.

[0509] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0510] This invention improves the quality of instructions given to users by combining a system that analyzes design drawings and provides effective instructions to foreign workers with an emotion engine that recognizes the user's emotions. This system includes an information terminal, an analysis device, a translation device, a generation device, a transmission device, and an emotion engine.

[0511] The user (designer) uploads the design drawings to the system using a terminal and begins preparing for the project. The terminal sends the design drawings to the server, which analyzes them using an analysis device. The analysis device converts the design drawings into digital data using OCR and CAD analysis technology and extracts important instructions for each phase.

[0512] The extracted instructions are translated into a foreign language via a translation device. Then, a generation device generates them as multimodal content, including audio, text, and video. The generated content is sent to the terminal by the server, allowing the user (foreign craftsman) to understand the instructions visually and intuitively.

[0513] The emotion engine analyzes the user's voice and facial expression data to recognize their emotions. Using this information, the generator adjusts the tone and speed of instructions, selecting the optimal instruction method according to the user's emotional state. For example, if the user is feeling stressed, the emotion engine generates voice instructions in a gentle tone and explained slowly. Furthermore, if the instructions are difficult to understand, it provides additional video explanations to aid the user's comprehension.

[0514] This system allows foreign workers to understand blueprints more effectively and carry out actual work more smoothly. The combination with an emotional engine enables personalized instructions for users, further improving training efficiency.

[0515] The following describes the processing flow.

[0516] Step 1:

[0517] The user selects a design file using a terminal and uploads it to the system. The terminal checks the format of the received design file and prepares to send it to the server.

[0518] Step 2:

[0519] The terminal sends the design file to the server. The server receives this file, saves it to a database, and then passes it to the analysis device as input data.

[0520] Step 3:

[0521] The server starts the analysis device to analyze the design drawings. The analysis device uses OCR and CAD analysis technology to convert the design drawings into digital data and analyzes and extracts the instructions for each phase.

[0522] Step 4:

[0523] The server passes the analyzed instructions to the translation device, which then translates them into the foreign worker's native language. The translation device uses a language translation API to translate the instruction text.

[0524] Step 5:

[0525] The server sends the translated instructions to the generator, which then generates content in audio, text, and video formats. The generator uses a speech synthesis engine and video editing tools to create the content.

[0526] Step 6:

[0527] The server sends the generated content to the terminal and simultaneously begins analyzing the user's emotions using the emotion engine.

[0528] Step 7:

[0529] The device stores content sent from the server and makes it accessible to the user. The emotion engine on the server analyzes the user's voice and facial expression data collected by the device to determine the user's emotional state.

[0530] Step 8:

[0531] The analysis results from the emotion engine are transferred to the generator, which adjusts the tone and speed of the instructions to match the user's emotions. The adjusted content is then played or displayed on the device.

[0532] Step 9:

[0533] The user (foreign craftsman) watches pre-configured instructions provided on the terminal and performs the work. Emotionally responsive instructions allow the user to perform the task smoothly.

[0534] (Example 2)

[0535] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0536] In an increasingly globalized world, smooth communication among workers with diverse languages ​​and cultures is crucial. However, a challenge remains: misunderstandings of design specifications can lead to decreased work efficiency on-site. Furthermore, instructions may not be properly conveyed due to a lack of consideration for workers' feelings. Solving these problems is essential.

[0537] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0538] In this invention, the server includes terminal means for receiving design information, analysis means for analyzing the received design information and extracting necessary instruction information for each stage, translation means for translating the translated instruction information into multiple languages, generation means for structuring the translated instruction information in the form of sound, text, and images, transmission means for transmitting the generated information to the terminal, and emotion analysis means for determining the user's emotions and adjusting the instructions. This makes it possible to provide instructions that are easy to understand and considerate of emotions to workers with different languages ​​and cultures.

[0539] "Design information" refers to information that shows the structure and layout necessary for a project, such as design drawings and specifications.

[0540] A "terminal device" is an information processing device that displays information and allows users to operate it.

[0541] "Analysis means" refers to a device or program that analyzes received information and extracts necessary data or instructions.

[0542] "Translation means" refers to a device or software used to convert extracted instructions or data into a different language.

[0543] "Generating means" refers to a device or program that constructs information in various forms (sound, text, images).

[0544] "Transmission means" refers to a device or program for sending generated information to another device or terminal.

[0545] An "emotion analysis tool" is a device or program that analyzes a user's emotions from their voice and facial expressions and adjusts the information provided accordingly.

[0546] This invention is a system that provides effective instructions to workers with different languages ​​and cultures through the reception, analysis, translation, generation, transmission, and sentiment analysis of design information. Embodiments thereof are described below.

[0547] Users upload design information to the system using a terminal. The terminal is an information processing device such as a tablet or personal computer, and has the function of sending design information to a server. The server receives this information and performs analysis using an analysis device. The analysis device uses OCR technology and CAD analysis technology to digitize the design information and extract instruction information for each stage.

[0548] The extracted instruction information is translated into multiple languages ​​using a translation device. The translation device utilizes a generative AI model to produce natural-sounding sentences. This translation process enables the provision of accurate instructions to workers who speak different languages.

[0549] The translated instructions are generated by a generation device as multimodal content such as sound, text, and images. Specifically, speech synthesis is used to generate the instructions as audio, and video editing technology is used to create the instructions as videos.

[0550] The generated content is transmitted to the terminal via a transmission device. The terminal receives it and displays it in a way that allows the user to understand the instructions visually and audibly.

[0551] Furthermore, the device sends the user's voice and facial expression data to an emotion analysis system. The emotion analysis system analyzes the user's emotional state and adjusts the tone and speed of instructions based on the results. For example, if the user is feeling stressed, it generates voice instructions in a gentle tone.

[0552] As a concrete example, when assembling certain structures at a construction site, this system analyzes the design information and generates multilingual instruction manuals. Furthermore, if the system detects that a worker is confused based on emotion analysis, it provides supplementary video explanations to aid the worker's understanding.

[0553] An example of a prompt might be: "Translate the specific instructions for part placement based on the design drawings into the native language for foreign workers, and generate a gentle-toned voice guide for users experiencing stress." In this way, cross-cultural communication barriers can be reduced and work efficiency can be improved.

[0554] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0555] Step 1: The user prepares the design information using a terminal. The design information is saved as a PDF or CAD file and then uploaded to the server via the terminal. The input is the design drawing file, and the output is the file transfer to the server.

[0556] Step 2: The server passes the received design information to the analysis device. The analysis device uses OCR technology to extract text from the design drawings and analyzes the geometric information using CAD analysis. The input in this process is the design information file, and the output is instruction information extracted at each stage. Specifically, it performs character recognition and geometric analysis to identify elements of work procedures and part placement.

[0557] Step 3: The server sends the extracted instruction information to the translation device. The translation device uses a generative AI model to translate the instruction information into different languages. The input is the instruction information, and the output is the instruction translated into multiple languages. Specifically, the model performs natural translation processing based on the input prompt sentence, taking into account specialized terminology used.

[0558] Step 4: The translated instructions are sent by the server to the generator. The generator uses speech synthesis and video generation technologies to produce the instructions in audio, text, and video formats. The input is the translated instruction information, and the output is multimodal content. For example, this may include creating a video demonstrating how to install a certain part and generating audio explanations related to it.

[0559] Step 5: The server sends the generated content to the terminal and provides it to the user. The terminal displays visual and auditory instructions to ensure the user understands them. The input is the generated content, and the output is the user's understanding. At this stage, the content can be manipulated interactively through the user interface.

[0560] Step 6: The terminal sends the user's voice and facial expression data to the emotion analysis system. The emotion analysis system analyzes the user's current emotional state and returns the results to the server. The input is voice and facial expression data, and the output is information about the user's emotional state. Emotion analysis allows for real-time assessment of the user's stress levels and level of understanding, which can then be used to inform the next step.

[0561] Step 7: The server performs a process of adjusting the tone and speed of instructions using a generator based on emotional state information. This allows for the provision of optimal instructions tailored to the user's emotions. The input is emotional state information, and the output is personalized instruction content. Specifically, this includes actions such as using slow-paced narration and providing supplementary information if the user is confused.

[0562] (Application Example 2)

[0563] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0564] Improving work efficiency in manufacturing requires accurately and effectively communicating design drawings and work instructions to foreign workers and automated equipment. However, differences in language and individual comprehension levels can lead to misunderstandings of instructions. Furthermore, it is difficult to respond flexibly to the emotions and circumstances of those receiving instructions, increasing the risk of stress and misunderstandings. This can lead to decreased work efficiency and increase the risk of errors and accidents.

[0565] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0566] In this invention, the server includes terminal means for receiving and analyzing design drawings, translation means for translating the analyzed instructions, generation means for generating the translated content in the form of audio, text information, and video, and emotion recognition means for recognizing the user's emotions and selecting the optimal instruction method. This makes it possible to provide flexible and effective instructions to foreign workers and automated machines that are tailored to their respective emotions and levels of understanding.

[0567] A "terminal device" is a device that receives design drawings and transmits data to a server.

[0568] An "analysis tool" is a device that analyzes the received design drawings and extracts the necessary instructions for each stage.

[0569] A "translation device" is a device that converts analyzed instructions into a predetermined foreign language.

[0570] A "generation means" is a device that assembles instructions in the form of audio, text information, and video.

[0571] A "transmission means" is a device for transmitting generated information content to a terminal.

[0572] An "emotion recognition device" is a device that analyzes the user's emotions and selects an instruction method that corresponds to those emotions.

[0573] The system for realizing this invention operates based on a terminal, a server, and user emotion recognition. Specifically, the terminal receives the design drawings and transmits them to the server. The server analyzes the received design drawings using an analysis device and extracts the necessary instructions at each stage. This analysis device uses OCR (optical character recognition) and CAD (computer-aided design) analysis technologies to convert the design drawings into digital data.

[0574] The instructions obtained through analysis are translated into multiple languages ​​using translation tools. Cloud-based translation services such as the Google Cloud Translation API can be used for this process. The translated instructions are then transferred to a generation tool. The generation tool uses speech synthesis and video editing technologies to generate content in various formats based on the received data. At this stage, Microsoft Azure Cognitive Services can be used to acquire user emotion data and adjust the tone and speed of the speech and the content of the video.

[0575] The generated multimodal content is sent back to the terminal via a transmission device. This allows users to receive information visually and audibly, tailored to their level of understanding and emotional state. For example, if a user operating the robot for the first time is experiencing stress, the emotion recognition device can detect this state and provide a video containing gentle voice instructions and detailed explanations.

[0576] An example of a prompt message could be expressed as, "Analyze the design drawings for assembling new machine parts and generate instructions in a gentle tone for a stressed-out user."

[0577] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0578] Step 1:

[0579] The terminal receives the design drawings and sends the data to the server. The input is a design drawing file uploaded by the user, and the output is the design drawing data sent to the server. The terminal uses sensors and communication modules to generate an accurate digital copy of the design drawing and transmits it to the server via the network.

[0580] Step 2:

[0581] The server analyzes the received design drawing data using analysis tools. Here, OCR technology and CAD analysis technology are used to convert the design drawings into digital data and extract the necessary instructions at each stage. The input is the design drawing data, and the output is a list of the analyzed instructions. The server executes multiple analysis algorithms to quantify or categorize the design information.

[0582] Step 3:

[0583] The analyzed instructions are translated into multiple languages ​​through the server's translation tools. Multilingual instructions are generated using tools such as the Google Cloud Translation API. The input contains the analyzed instructions, and the output is the translated instructions. The server collaboratively activates the translation engine and translates each instruction into different languages ​​in real time.

[0584] Step 4:

[0585] The server uses a generation mechanism to convert translated instructions into multimodal content using speech synthesis and video editing technologies. The input is the translated instructions, and the output is audio, text, and video content. A content generation tool creates easy-to-understand guides for users.

[0586] Step 5:

[0587] The server sends the generated content to the terminal. The input is audio and video data, and the output is the terminal that receives it. Following the communication protocol, the server confirms that the data is successfully transferred, allowing the terminal to retrieve and play the data.

[0588] Step 6:

[0589] The server analyzes the user's emotional data using emotion recognition technology and adjusts the instructions based on that information. It uses Microsoft Azure Cognitive Services to recognize emotions from the user's facial expressions and voice. The input is the user's audio and video data, and the output is the adjusted instructions. Based on the emotion recognition results, the tone and speed of the instructions are dynamically changed to provide the user with an optimal learning experience.

[0590] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0591] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0592] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0593] [Fourth Embodiment]

[0594] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0595] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0596] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0597] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0598] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0599] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0600] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0601] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0602] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0603] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0604] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0605] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0606] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0607] This invention is a system for efficiently educating foreign workers, reducing the cost and effort required for design education by efficiently analyzing design drawings and providing the content in the foreign workers' native languages. This system has a complex configuration including an information terminal, a server, an analysis device, a translation device, a generation device, and a transmission device.

[0608] The user (designer) begins by uploading the design drawing to an information terminal. The terminal sends the received design drawing to a server, which then begins analyzing it. The analysis device analyzes the structure of the design drawing and automatically extracts the necessary instructions for each phase. This breaks down complex designs into easily understandable elements.

[0609] The extracted instructions are translated into the foreign worker's native language by a translation device. The translated instructions are then generated by a generation device not only as audio and text, but also as video content if necessary. This allows foreign workers to visually and intuitively understand the work content at each phase.

[0610] The server sends the multimodal instruction content generated during this process to the terminal. The user (foreign craftsman) receives this content through the terminal and can proceed with the work according to the instructions.

[0611] As a concrete example, when a designer uploads blueprints for a new construction project to the system, the server analyzes and extracts important phase-specific instructions from these blueprints, such as the placement of columns and the types of materials to be used. This information is then translated into an appropriate language, such as English, by a translation and generation device and sent to the terminal as voice guidance, text, and, in some cases, animated videos showing the installation procedure. Foreign workers can then use this information to carry out their work on-site.

[0612] As described above, this invention enables the simplification and efficiency of education for foreign workers, thereby contributing to the reduction of education costs for companies.

[0613] The following describes the processing flow.

[0614] Step 1:

[0615] The user selects the project design file using their device and uploads it to the system. The device checks the format of the selected design file and verifies that it is in the correct format.

[0616] Step 2:

[0617] The terminal sends the design file to the server. The server saves the received design file to its database and prepares to pass this file to the analysis device.

[0618] Step 3:

[0619] The server starts the analysis device and begins analyzing the design drawings. The analysis device uses OCR technology and CAD analysis tools to convert the design drawings into a digital format and extracts data for each phase.

[0620] Step 4:

[0621] Based on the analyzed data, the server extracts instructions for each phase identified within the design drawings. These instructions include information on work procedures and required materials.

[0622] Step 5:

[0623] The server sends the extracted instructions to the translation device, which translates them into the foreign worker's native language. The translation device uses a language translation API to convert the text into the target language.

[0624] Step 6:

[0625] The server passes the translated instructions to the generator, which generates the instructions in audio, text, and video formats. The generator uses a speech synthesis engine and video editing tools to create the appropriate content.

[0626] Step 7:

[0627] The server sends the completed multimodal instruction content to the terminal. The terminal stores the received content and prepares an interface for easy access by the craftsman.

[0628] Step 8:

[0629] Users (foreign craftsmen) can play or display multimodal content from their terminals and work while checking specific work instructions for each phase of the design drawings.

[0630] (Example 1)

[0631] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0632] To efficiently train foreign workers, design information must be quickly and accurately translated into each language and provided in a format that allows for intuitive visual and auditory understanding. However, traditional methods are inefficient, requiring significant time and cost for translating and expressing the design content. Solving this problem is essential.

[0633] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0634] In this invention, the server includes an information processing device for receiving design information, an analysis means for analyzing the received design information and extracting instruction information necessary for each process, a translation means for converting the analyzed instruction information into a predetermined foreign language, a generation means for expressing the converted instruction information in the form of audio, text, and video, and a communication means for transmitting the generated information expression to the information processing device. This enables foreign workers to quickly and accurately understand the design content in their own language and proceed with the work smoothly.

[0635] "Design information" refers to digital data and drawings that show the specific details of a design.

[0636] An "information processing device" refers to hardware or software used to send, receive, and process digital data.

[0637] "Analysis means" refers to programs or devices used to extract and analyze necessary information from received data.

[0638] "Instruction information" refers to information that indicates the necessary instructions and guidance content for the work process.

[0639] "Translation means" refers to a function or system for converting text written in one language into another language.

[0640] "Generative means" refers to processes and technologies for representing information in multiple formats, such as audio, text, and video.

[0641] "Communication means" refers to a function or infrastructure that transmits data or information to another device or user.

[0642] This invention is a system for efficiently training foreign workers and for accurately and effectively transmitting design information. Specific embodiments are described below.

[0643] The user first uploads the design information as a digital file to the information processing device. The terminal is responsible for sending this data to the server. The server uses analysis tools to break down the received design information and extract the instruction information necessary for each work process.

[0644] For analysis, general optical character recognition software and computer-aided design analysis tools are used. The server accurately translates the extracted instruction information into the target language via multilingual translation software. In this process, a generative AI model algorithm is used to achieve high-precision translation.

[0645] The server passes the translated information to the generation mechanism, which uses speech synthesis software and video editing tools to create multimodal content consisting of audio, text, and video. This content is then transmitted back to the terminal via the communication mechanism.

[0646] Foreign workers, as users, can receive this content through their devices, intuitively understand the tasks, and then perform them. For example, after uploading design information for a house construction project, the server can translate the instructions for installing pillars and the necessary materials, and generate video content.

[0647] A concrete example of a prompt message might be, "Translate the Japanese design information into English and generate audio guidance and a procedural video." This would allow the system to smoothly automate the analysis, translation, and content generation processes, supporting the user's on-site work.

[0648] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0649] Step 1:

[0650] The user uploads the design information as a digital file to the information processing device.

[0651] The system receives design files (e.g., CAD files) as input and prepares to send those files to the server. Specifically, it checks the file format and sets the transfer protocol.

[0652] Step 2:

[0653] The terminal sends the uploaded design information to the server.

[0654] The input is a design file, and the output is the transmission of the file to the server. Specifically, the terminal transfers the file to the server via the network and confirms receipt.

[0655] Step 3:

[0656] The server uses analysis tools to break down the received design information into data.

[0657] The input is a design file sent to the server, and the output is the analyzed instruction information. Specifically, optical character recognition or computer-aided design analysis is performed to extract the structure and component details of the design file.

[0658] Step 4:

[0659] The analysis device extracts instruction information necessary for each work process from the design information.

[0660] The input is analyzed data, and the output is instruction information for each process. Specifically, an algorithm is used to list detailed instructions such as installation location and materials to be used.

[0661] Step 5:

[0662] The server converts the extracted instruction information into a predetermined foreign language using a translation device.

[0663] The input is instruction information, and the output is translated instruction information. Specifically, a generative AI model is used to perform multilingual automatic translation.

[0664] Step 6:

[0665] The server converts the translated instruction information into audio, text, and video content using a generation mechanism.

[0666] The input is translated instruction information, and the output is multimodal content. Specific operations include content generation using text-to-speech software and video editing tools.

[0667] Step 7:

[0668] The server sends the generated content to the terminal via a communication method.

[0669] The input is the generated multimodal content, and the output is the transmission of that content to the terminal. Specifically, the operation involves setting the transmission protocol and initiating data transfer.

[0670] Step 8:

[0671] Users receive content provided through their devices and perform tasks based on that content.

[0672] The input is instruction content received on the terminal, and the output is the execution of the task. Specifically, the user listens to audio guides and watches videos while performing the task on-site.

[0673] (Application Example 1)

[0674] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0675] There is a lack of support systems in factories to enable foreign workers to perform their duties more efficiently. Specifically, it is difficult to quickly and accurately convey design information and work instructions to workers with different languages ​​and cultures. This can lead to misunderstandings, errors, and decreased work efficiency. New solutions are needed to make design drawings and work procedures easier to understand.

[0676] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0677] In this invention, the server includes a device means having a communication function for receiving design information, an analysis function means for analyzing the received design information and automatically extracting necessary instructions at each work stage, a language translation means for converting the analyzed instructions into the language of the target person, an information generation means for generating the translated instructions in the form of visual and audio information, and a communication means for transmitting the generated information to a communication device. This enables foreign workers to understand work instructions visually and aurally in their own language and to proceed with their work efficiently.

[0678] "Design information" refers to information such as drawings, specifications, and process plans that form the basis of the work.

[0679] "Devices and means having communication functions" refers to devices and their configurations that have the ability to send and receive data between different locations.

[0680] "Analysis function means" refers to a mechanism that analyzes input design information and automatically extracts relevant instructions from that information.

[0681] "Language translation means" refers to a process or device for converting information written in one language into another language.

[0682] "Information generation means that generate information in the form of visual and auditory information" refers to technologies and devices for outputting translated instructions in a format that is easy to see and hear.

[0683] "Communication means" refers to a mechanism for transmitting generated information to other devices or systems.

[0684] This invention will be specifically implemented as a support system for foreign workers in factories. The system will consist of a terminal with communication capabilities, a server with analysis capabilities, a language translation device, an information generation device, and communication means.

[0685] The user (factory manager) first uploads the necessary design information for the work to the server from a terminal with communication capabilities. The server analyzes the received design information through an analysis device and extracts the necessary instructions for each work stage. This analysis utilizes character recognition technology and design support tools to convert the design information into a format that can be recognized as electronic data.

[0686] The extracted instructions are translated into the native language of the foreign workers through a language translation device on the server. The translated instructions are then converted into visual and audio information by an information generation device. Audio technology and video editing software are used for this generation.

[0687] Subsequently, the generated visual and auditory information content is transmitted back to the terminal via communication functions. This allows foreign workers to understand work instructions in their native language visually and audibly, enabling them to perform their work efficiently.

[0688] As a concrete example, the server analyzes the assembly procedure for parts, translates it into the worker's native language, generates an animated video, and sends it to the worker's terminal. This allows workers to visually confirm the procedure, reduce errors, and improve productivity.

[0689] Example prompt: "Analyze the blueprints, translate them into the native language so that foreign workers can easily understand them, and visually demonstrate the work procedures with an animated video."

[0690] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0691] Step 1:

[0692] Users upload design information to the server from a terminal with communication capabilities. The input from the terminal is either a digital format or a scanned physical design drawing, which is then transferred to the server as output. Data transfer of the design information begins when the user presses the send button on the device.

[0693] Step 2:

[0694] The server analyzes the received design information using an analysis device and extracts the necessary instructions for each work stage. The server's input is the design information transmitted from the terminal, and its output is the extracted instruction data. As part of data processing, the design information is analyzed using character recognition technology and design support tools to identify important processes.

[0695] Step 3:

[0696] The server translates the extracted instructions into the foreign worker's native language using a language translation device. The input for this step is the analyzed instruction data, and the output is the translated instructions. By using translation software, the server outputs instructions that support multiple languages.

[0697] Step 4:

[0698] The server converts translated instructions into visual and audio information using an information generation device. The input is instructions translated into the native language, and the output is visually displayable video or playable audio data. Speech synthesis technology and video editing software are used.

[0699] Step 5:

[0700] The server transmits the generated visual and auditory information content to the terminal via its communication function. The input for this step is the generated content data, and the output is the terminal that received the content. The terminal displays and plays the received content through an application, allowing the foreign worker to understand and perform the assigned task.

[0701] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0702] This invention improves the quality of instructions given to users by combining a system that analyzes design drawings and provides effective instructions to foreign workers with an emotion engine that recognizes the user's emotions. This system includes an information terminal, an analysis device, a translation device, a generation device, a transmission device, and an emotion engine.

[0703] The user (designer) uploads the design drawings to the system using a terminal and begins preparing for the project. The terminal sends the design drawings to the server, which analyzes them using an analysis device. The analysis device converts the design drawings into digital data using OCR and CAD analysis technology and extracts important instructions for each phase.

[0704] The extracted instructions are translated into a foreign language via a translation device. Then, a generation device generates them as multimodal content, including audio, text, and video. The generated content is sent to the terminal by the server, allowing the user (foreign craftsman) to understand the instructions visually and intuitively.

[0705] The emotion engine analyzes the user's voice and facial expression data to recognize their emotions. Using this information, the generator adjusts the tone and speed of instructions, selecting the optimal instruction method according to the user's emotional state. For example, if the user is feeling stressed, the emotion engine generates voice instructions in a gentle tone and explained slowly. Furthermore, if the instructions are difficult to understand, it provides additional video explanations to aid the user's comprehension.

[0706] This system allows foreign workers to understand blueprints more effectively and carry out actual work more smoothly. The combination with an emotional engine enables personalized instructions for users, further improving training efficiency.

[0707] The following describes the processing flow.

[0708] Step 1:

[0709] The user selects a design file using a terminal and uploads it to the system. The terminal checks the format of the received design file and prepares to send it to the server.

[0710] Step 2:

[0711] The terminal sends the design file to the server. The server receives this file, saves it to a database, and then passes it to the analysis device as input data.

[0712] Step 3:

[0713] The server starts the analysis device to analyze the design drawings. The analysis device uses OCR and CAD analysis technology to convert the design drawings into digital data and analyzes and extracts the instructions for each phase.

[0714] Step 4:

[0715] The server passes the analyzed instructions to the translation device, which then translates them into the foreign worker's native language. The translation device uses a language translation API to translate the instruction text.

[0716] Step 5:

[0717] The server sends the translated instructions to the generator, which then generates content in audio, text, and video formats. The generator uses a speech synthesis engine and video editing tools to create the content.

[0718] Step 6:

[0719] The server sends the generated content to the terminal and simultaneously begins analyzing the user's emotions using the emotion engine.

[0720] Step 7:

[0721] The device stores content sent from the server and makes it accessible to the user. The emotion engine on the server analyzes the user's voice and facial expression data collected by the device to determine the user's emotional state.

[0722] Step 8:

[0723] The analysis results from the emotion engine are transferred to the generator, which adjusts the tone and speed of the instructions to match the user's emotions. The adjusted content is then played or displayed on the device.

[0724] Step 9:

[0725] The user (foreign craftsman) watches pre-configured instructions provided on the terminal and performs the work. Emotionally responsive instructions allow the user to perform the task smoothly.

[0726] (Example 2)

[0727] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0728] In an increasingly globalized world, smooth communication among workers with diverse languages ​​and cultures is crucial. However, a challenge remains: misunderstandings of design specifications can lead to decreased work efficiency on-site. Furthermore, instructions may not be properly conveyed due to a lack of consideration for workers' feelings. Solving these problems is essential.

[0729] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0730] In this invention, the server includes terminal means for receiving design information, analysis means for analyzing the received design information and extracting necessary instruction information for each stage, translation means for translating the translated instruction information into multiple languages, generation means for structuring the translated instruction information in the form of sound, text, and images, transmission means for transmitting the generated information to the terminal, and emotion analysis means for determining the user's emotions and adjusting the instructions. This makes it possible to provide instructions that are easy to understand and considerate of emotions to workers with different languages ​​and cultures.

[0731] "Design information" refers to information that shows the structure and layout necessary for a project, such as design drawings and specifications.

[0732] A "terminal device" is an information processing device that displays information and allows users to operate it.

[0733] "Analysis means" refers to a device or program that analyzes received information and extracts necessary data or instructions.

[0734] "Translation means" refers to a device or software used to convert extracted instructions or data into a different language.

[0735] "Generating means" refers to a device or program that constructs information in various forms (sound, text, images).

[0736] "Transmission means" refers to a device or program for sending generated information to another device or terminal.

[0737] An "emotion analysis tool" is a device or program that analyzes a user's emotions from their voice and facial expressions and adjusts the information provided accordingly.

[0738] This invention is a system that provides effective instructions to workers with different languages ​​and cultures through the reception, analysis, translation, generation, transmission, and sentiment analysis of design information. Embodiments thereof are described below.

[0739] Users upload design information to the system using a terminal. The terminal is an information processing device such as a tablet or personal computer, and has the function of sending design information to a server. The server receives this information and performs analysis using an analysis device. The analysis device uses OCR technology and CAD analysis technology to digitize the design information and extract instruction information for each stage.

[0740] The extracted instruction information is translated into multiple languages ​​using a translation device. The translation device utilizes a generative AI model to produce natural-sounding sentences. This translation process enables the provision of accurate instructions to workers who speak different languages.

[0741] The translated instructions are generated by a generation device as multimodal content such as sound, text, and images. Specifically, speech synthesis is used to generate the instructions as audio, and video editing technology is used to create the instructions as videos.

[0742] The generated content is transmitted to the terminal via a transmission device. The terminal receives it and displays it in a way that allows the user to understand the instructions visually and audibly.

[0743] Furthermore, the device sends the user's voice and facial expression data to an emotion analysis system. The emotion analysis system analyzes the user's emotional state and adjusts the tone and speed of instructions based on the results. For example, if the user is feeling stressed, it generates voice instructions in a gentle tone.

[0744] As a concrete example, when assembling certain structures at a construction site, this system analyzes the design information and generates multilingual instruction manuals. Furthermore, if the system detects that a worker is confused based on emotion analysis, it provides supplementary video explanations to aid the worker's understanding.

[0745] An example of a prompt might be: "Translate the specific instructions for part placement based on the design drawings into the native language for foreign workers, and generate a gentle-toned voice guide for users experiencing stress." In this way, cross-cultural communication barriers can be reduced and work efficiency can be improved.

[0746] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0747] Step 1: The user prepares the design information using a terminal. The design information is saved as a PDF or CAD file and then uploaded to the server via the terminal. The input is the design drawing file, and the output is the file transfer to the server.

[0748] Step 2: The server passes the received design information to the analysis device. The analysis device uses OCR technology to extract text from the design drawings and analyzes the geometric information using CAD analysis. The input in this process is the design information file, and the output is instruction information extracted at each stage. Specifically, it performs character recognition and geometric analysis to identify elements of work procedures and part placement.

[0749] Step 3: The server sends the extracted instruction information to the translation device. The translation device uses a generative AI model to translate the instruction information into different languages. The input is the instruction information, and the output is the instruction translated into multiple languages. Specifically, the model performs natural translation processing based on the input prompt sentence, taking into account specialized terminology used.

[0750] Step 4: The translated instructions are sent by the server to the generator. The generator uses speech synthesis and video generation technologies to produce the instructions in audio, text, and video formats. The input is the translated instruction information, and the output is multimodal content. For example, this may include creating a video demonstrating how to install a certain part and generating audio explanations related to it.

[0751] Step 5: The server sends the generated content to the terminal and provides it to the user. The terminal displays visual and auditory instructions to ensure the user understands them. The input is the generated content, and the output is the user's understanding. At this stage, the content can be manipulated interactively through the user interface.

[0752] Step 6: The terminal sends the user's voice and facial expression data to the emotion analysis system. The emotion analysis system analyzes the user's current emotional state and returns the results to the server. The input is voice and facial expression data, and the output is information about the user's emotional state. Emotion analysis allows for real-time assessment of the user's stress levels and level of understanding, which can then be used to inform the next step.

[0753] Step 7: The server performs a process of adjusting the tone and speed of instructions using a generator based on emotional state information. This allows for the provision of optimal instructions tailored to the user's emotions. The input is emotional state information, and the output is personalized instruction content. Specifically, this includes actions such as using slow-paced narration and providing supplementary information if the user is confused.

[0754] (Application Example 2)

[0755] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0756] Improving work efficiency in manufacturing requires accurately and effectively communicating design drawings and work instructions to foreign workers and automated equipment. However, differences in language and individual comprehension levels can lead to misunderstandings of instructions. Furthermore, it is difficult to respond flexibly to the emotions and circumstances of those receiving instructions, increasing the risk of stress and misunderstandings. This can lead to decreased work efficiency and increase the risk of errors and accidents.

[0757] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0758] In this invention, the server includes terminal means for receiving and analyzing design drawings, translation means for translating the analyzed instructions, generation means for generating the translated content in the form of audio, text information, and video, and emotion recognition means for recognizing the user's emotions and selecting the optimal instruction method. This makes it possible to provide flexible and effective instructions to foreign workers and automated machines that are tailored to their respective emotions and levels of understanding.

[0759] A "terminal device" is a device that receives design drawings and transmits data to a server.

[0760] An "analysis tool" is a device that analyzes the received design drawings and extracts the necessary instructions for each stage.

[0761] A "translation device" is a device that converts analyzed instructions into a predetermined foreign language.

[0762] A "generation means" is a device that assembles instructions in the form of audio, text information, and video.

[0763] A "transmission means" is a device for transmitting generated information content to a terminal.

[0764] An "emotion recognition device" is a device that analyzes the user's emotions and selects an instruction method that corresponds to those emotions.

[0765] The system for realizing this invention operates based on a terminal, a server, and user emotion recognition. Specifically, the terminal receives the design drawings and transmits them to the server. The server analyzes the received design drawings using an analysis device and extracts the necessary instructions at each stage. This analysis device uses OCR (optical character recognition) and CAD (computer-aided design) analysis technologies to convert the design drawings into digital data.

[0766] The instructions obtained through analysis are translated into multiple languages ​​using translation tools. Cloud-based translation services such as the Google Cloud Translation API can be used for this process. The translated instructions are then transferred to a generation tool. The generation tool uses speech synthesis and video editing technologies to generate content in various formats based on the received data. At this stage, Microsoft Azure Cognitive Services can be used to acquire user emotion data and adjust the tone and speed of the speech and the content of the video.

[0767] The generated multimodal content is sent back to the terminal via a transmission device. This allows users to receive information visually and audibly, tailored to their level of understanding and emotional state. For example, if a user operating the robot for the first time is experiencing stress, the emotion recognition device can detect this state and provide a video containing gentle voice instructions and detailed explanations.

[0768] An example of a prompt message could be expressed as, "Analyze the design drawings for assembling new machine parts and generate instructions in a gentle tone for a stressed-out user."

[0769] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0770] Step 1:

[0771] The terminal receives the design drawings and sends the data to the server. The input is a design drawing file uploaded by the user, and the output is the design drawing data sent to the server. The terminal uses sensors and communication modules to generate an accurate digital copy of the design drawing and transmits it to the server via the network.

[0772] Step 2:

[0773] The server analyzes the received design drawing data using analysis tools. Here, OCR technology and CAD analysis technology are used to convert the design drawings into digital data and extract the necessary instructions at each stage. The input is the design drawing data, and the output is a list of the analyzed instructions. The server executes multiple analysis algorithms to quantify or categorize the design information.

[0774] Step 3:

[0775] The analyzed instructions are translated into multiple languages ​​through the server's translation tools. Multilingual instructions are generated using tools such as the Google Cloud Translation API. The input contains the analyzed instructions, and the output is the translated instructions. The server collaboratively activates the translation engine and translates each instruction into different languages ​​in real time.

[0776] Step 4:

[0777] The server uses a generation mechanism to convert translated instructions into multimodal content using speech synthesis and video editing technologies. The input is the translated instructions, and the output is audio, text, and video content. A content generation tool creates easy-to-understand guides for users.

[0778] Step 5:

[0779] The server sends the generated content to the terminal. The input is audio and video data, and the output is the terminal that receives it. Following the communication protocol, the server confirms that the data is successfully transferred, allowing the terminal to retrieve and play the data.

[0780] Step 6:

[0781] The server analyzes the user's emotional data using emotion recognition technology and adjusts the instructions based on that information. It uses Microsoft Azure Cognitive Services to recognize emotions from the user's facial expressions and voice. The input is the user's audio and video data, and the output is the adjusted instructions. Based on the emotion recognition results, the tone and speed of the instructions are dynamically changed to provide the user with an optimal learning experience.

[0782] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0783] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0784] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0785] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0786] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0787] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0788] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0789] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0790] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0791] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0792] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0793] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0794] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0795] 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.

[0796] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0797] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0798] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0799] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0800] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0801] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0802] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0803] The following is further disclosed regarding the embodiments described above.

[0804] (Claim 1)

[0805] An information terminal that receives blueprints,

[0806] An analysis device that analyzes the received design drawings and extracts the necessary instructions for each phase,

[0807] A translation device that translates the analyzed instructions into a specified foreign language,

[0808] A generation device that expresses translated instructions in audio, text, and video formats,

[0809] A transmitting device that sends the generated information content to an information terminal,

[0810] A system that includes this.

[0811] (Claim 2)

[0812] The system according to claim 1, wherein the analysis device performs OCR or CAD analysis involving the conversion of design drawings into digital data.

[0813] (Claim 3)

[0814] The system according to claim 1, wherein the generating device generates multimodal instructions by performing speech synthesis and video editing.

[0815] "Example 1"

[0816] (Claim 1)

[0817] An information processing device that receives design information,

[0818] An analysis means that analyzes the received design information and extracts the necessary instruction information for each process,

[0819] A translation means that converts the analyzed instruction information into a predetermined foreign language,

[0820] A generation means for expressing the converted instruction information in the form of audio, text, and video,

[0821] A communication means for transmitting the generated information representation to an information processing device,

[0822] A system that includes this.

[0823] (Claim 2)

[0824] The system according to claim 1, wherein the analysis means performs optical character recognition or computer-aided design analysis accompanied by the conversion of design information into digital data.

[0825] (Claim 3)

[0826] The system according to claim 1, wherein the generation means generates instructions that utilize a variety of senses by performing speech synthesis and video editing.

[0827] "Application Example 1"

[0828] (Claim 1)

[0829] A device having a communication function for receiving design information,

[0830] An analysis function means that analyzes the received design information and automatically extracts the necessary instructions at each work stage,

[0831] A language translation means that converts the analyzed instructions into the target person's language,

[0832] Information generation means for generating translated instructions in the form of visual and audio information,

[0833] A communication means for transmitting the generated information to a communication device,

[0834] A system that includes this.

[0835] (Claim 2)

[0836] The system according to claim 1, wherein the analysis function means performs character recognition technology or design support tool analysis that involves the conversion of design information into electronic data.

[0837] (Claim 3)

[0838] The system according to claim 1, wherein the information generation means generates complex instruction information by performing audio technology and video editing.

[0839] "Example 2 of combining an emotion engine"

[0840] (Claim 1)

[0841] A terminal means for receiving design information,

[0842] An analysis means that analyzes the received design information and extracts the necessary instruction information for each stage,

[0843] A translation tool that translates the analyzed instruction information into multiple languages,

[0844] A generation means that constructs translated instruction information in the form of sound, text, and images,

[0845] A transmission means for transmitting the generated information to the terminal,

[0846] A means of emotion analysis that identifies the user's emotions and adjusts instructions accordingly,

[0847] A system that includes this.

[0848] (Claim 2)

[0849] The system according to claim 1, wherein the analysis means performs character recognition or design analysis accompanied by the digitization of design information.

[0850] (Claim 3)

[0851] The system according to claim 1, wherein the generation means generates instructions using multiple media by performing sound generation and image processing.

[0852] "Application example 2 when combining with an emotional engine"

[0853] (Claim 1)

[0854] A terminal means for receiving design drawings,

[0855] An analysis means that analyzes the received design drawings and extracts the necessary instructions for each stage,

[0856] A translation means for translating the analyzed instructions into a predetermined foreign language,

[0857] A generation means for expressing the translated instructions in the form of audio, text information, and video,

[0858] A transmission means for sending the generated information content to a terminal,

[0859] An emotion recognition means that recognizes the user's emotions and selects an instruction method that corresponds to those emotions,

[0860] A system that includes this.

[0861] (Claim 2)

[0862] The system according to claim 1, wherein the analysis means performs character recognition or design data analysis that involves the conversion of design drawings into digital data.

[0863] (Claim 3)

[0864] The system according to claim 1, wherein the generation means generates instructions combining various formats by performing speech synthesis and video editing, and provides optimal instructions according to the user's emotional state. [Explanation of Symbols]

[0865] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. An information terminal that receives blueprints, An analysis device that analyzes the received design drawings and extracts the necessary instructions for each phase, A translation device that translates the analyzed instructions into a specified foreign language, A generation device that expresses translated instructions in audio, text, and video formats, A transmitting device that sends the generated information content to an information terminal, A system that includes this.

2. The system according to claim 1, wherein the analysis device performs OCR or CAD analysis involving the conversion of design drawings into digital data.

3. The system according to claim 1, wherein the generating device generates multimodal instructions by performing speech synthesis and video editing.

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