system

Abstract

Provide a system. The method includes: a first means for a user to record a video while verbally explaining an operation procedure; a second means of providing the recorded video and audio data to the generative AI; A third method is for a generative AI to analyze video and audio data and automatically generate instructions. The system includes a fourth means for outputting the generated procedure in a specified format.

Description

[Technical Field]

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

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

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

[0004] Creating manuals is essential for business operations, but the current process requires a great deal of time and effort. In particular, the process of recording procedures amid busy work schedules, organizing them, and creating manuals places a heavy burden on employees. This reduces operational efficiency and, in some cases, can cause outsourcing to stall. Furthermore, the quality and consistency of the manuals created can vary. To solve these issues, a system that can automatically generate manuals quickly and efficiently is needed. [Means for solving the problem]

[0005] The present invention provides a system that includes a first means for a user to record a video while verbally explaining an operation procedure, a second means for providing the recorded video and audio data to a generation AI, a third means for the generation AI to analyze the video and audio data and automatically generate a procedure, and a fourth means for outputting the generated procedure in a specified format. This system allows a user to easily record a procedure explanation, and the generation AI can instantly create a manual based on that. This significantly reduces the man-hours required for manual creation and improves work efficiency.

[0006] A "user" is someone who uses the system to record operating procedures and generate manuals.

[0007] An "operating procedure" is a description and execution of each step required to complete a particular task or operation.

[0008] "Video" is video data that visually records the operation procedures explained by the user.

[0009] "Audio data" is a recording of a user verbally explaining an operating procedure.

[0010] "Generative AI" refers to artificial intelligence that analyzes video and audio data and automatically generates procedures.

[0011] "Analysis" is the process of extracting and understanding the necessary information and procedures from video and audio data.

[0012] "Procedure" refers to the specific content of each step in the operating procedure.

[0013] "Format" refers to the standards and style for preparing the generated manual in a specific format (e.g., PowerPoint, Word, PDF, etc.).

[0014] The "first means" refers to a method or device for recording a video while the user verbally explains the operating procedure.

[0015] The "second means" refers to a method or device for providing recorded video and audio data to the generating AI.

[0016] The "third means" refers to a method or device in which a generative AI analyzes video and audio data and automatically generates procedures.

[0017] The "fourth means" is a method or device for outputting the generated procedure in a specified format.

[0018] "Real-time" means processing or transmitting data as it is at the time, without delay.

[0019] A "server" is a computer system that receives, analyzes, and stores data via a network, and outputs the results.

[0020] A "terminal" is a device on which a user records operating procedures and transmits the data to a server. [Brief explanation of the drawings]

[0021] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0022] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0023] First, the terms used in the following description will be explained.

[0024] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0025] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0026] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0027] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0028] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0029] [First embodiment]

[0030] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0031] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0032] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0033] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0034] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0035] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0036] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0037] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0038] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0039] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0040] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0041] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0042] The present invention is a system for improving work efficiency in which a user records a video while verbally explaining an operation procedure, and provides the video and audio data to a generation AI that analyzes the video and audio data and automatically generates the procedure. This system is implemented with the following configuration and operation.

[0043] System Configuration

[0044] 1. User Device:

[0045] The device must be a smartphone or PC equipped with a camera and microphone for recording operation procedures, and must have an application installed that includes an interface for starting and stopping recording.

[0046] 2. Network:

[0047] A communication network is required to transmit and receive data between the user terminal and the server, and it is desirable that this network provide high-speed and stable communication.

[0048] 3. Server:

[0049] This computer system is equipped with generative AI and has the ability to receive video and audio data, analyze it, and automatically generate manuals.

[0050] Implementation details

[0051] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while recording the actual operation with a camera. During this time, the user's device records video and audio data in real time and transfers it to the server at fixed buffer size intervals.

[0052] The server analyzes the received video and audio data and inputs it into the generation AI. The generation AI synchronizes each frame of the video with the audio data and uses a voice analysis engine to convert the audio into text. This extracts the steps the user has verbally explained as text information. At the same time, the content of the video is also analyzed and organized into specific operating steps.

[0053] The server then automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information. The generated manual appropriately inserts screenshots and related images extracted from the video. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[0054] Specific examples

[0055] Let's take the example of a webmaster creating a manual on how to configure the backend of a website. First, the webmaster launches a dedicated application and performs the website configuration operations, verbally explaining, "First, log in to the admin screen. Next, open the settings tab..." The smartphone records this and sends the video and audio data to the server in real time.

[0056] The server analyzes the received data and extracts the steps, such as "log in to the administration screen" and "open the settings tab." Based on this, each step is organized into a page in PowerPoint format, and screenshots corresponding to each step are inserted. The completed PowerPoint file is then sent over the network to the web administrator's device. In this way, users can generate high-quality manuals in a short amount of time.

[0057] The above is an embodiment of the present invention. By using this system, it is expected that the number of steps required to create manuals will be significantly reduced, work efficiency will be improved, and the quality of work will be more uniformly scrutinized.

[0058] The processing flow will be explained below.

[0059] Step 1:

[0060] The user presses the "Start recording procedure video" button on their smartphone or PC to start recording, which activates the camera and microphone to record the operating procedures.

[0061] Step 2:

[0062] The device starts the recording module and starts recording video and audio data. The recorded data is divided into buffers of a certain size.

[0063] Step 3:

[0064] The device transmits the video and audio data being recorded to the server in real time, and the data is transferred via a communication network.

[0065] Step 4:

[0066] The server stores the received video and audio data and checks the video and audio synchronization. This step also checks the data integrity.

[0067] Step 5:

[0068] The server divides the video data into frames and records the timestamp of each frame, which makes it possible to identify specific operational steps within the video.

[0069] Step 6:

[0070] The server then runs the voice data through a speech recognition engine to convert the speech into text data, and performs pre-processing to improve the accuracy of the voice recognition.

[0071] Step 7:

[0072] The server parses the text data and maps each step to its corresponding frame and timestamp, thus unambiguously identifying each operational step.

[0073] Step 8:

[0074] The server creates the basic structure of the document based on the procedure data, using a template in the format (PowerPoint, Word, PDF, etc.) specified by the user.

[0075] Step 9:

[0076] The server extracts screenshots and related images corresponding to each step from the video frames and embeds them in templates, thereby generating a manual that aids visual understanding.

[0077] Step 10:

[0078] The server optimizes the generated document and adjusts the layout to fit the format, resulting in a professional looking document.

[0079] Step 11:

[0080] The server saves the final document in the specified format and provides a download link to the user's device, which may also be sent to the user's email address.

[0081] Step 12:

[0082] Users can click the link provided to download the generated manual and use it in their work, significantly reducing the time and effort required to explain procedures.

[0083] Example 1

[0084] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0085] The conventional method of creating procedure manuals required manual editing and organization, which was extremely time-consuming and labor-intensive. Furthermore, when operational procedures were complex, misunderstandings were likely to occur, and steps were often omitted or incorrectly performed. This resulted in issues such as reduced work efficiency and inconsistent quality. Furthermore, there was a lack of a system for transferring data to a server in real time, making it impossible to perform immediate analysis.

[0086] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0087] In this invention, the server includes a device for recording a video of a user verbally explaining an operation procedure, a device for providing the recorded video and audio data to a generation AI, a device for the generation AI to analyze the video and audio data and automatically generate procedures, a device for outputting the generated procedures in a specified format, and a device for transferring the video and audio data to the server in real time. This allows users to automatically generate procedure manuals easily and quickly, significantly improving work efficiency and enabling the generation of uniform, high-quality procedure manuals.

[0088] An "operation procedure" is a series of operations or a flow of operations that a user performs to achieve a specific purpose.

[0089] "Verbal explanation" refers to the act of the user explaining procedures and operating methods using voice.

[0090] A "video" is a collection of continuous image data captured using a camera.

[0091] "Audio data" refers to sound waves recorded using a microphone and stored in digital format.

[0092] "Generative AI" refers to systems or programs that use artificial intelligence to process and analyze data, achieving automatic generation.

[0093] "Analysis" is the process of processing data to extract meaningful information.

[0094] "Automatically generating procedures" means that the system automatically creates operating procedures based on collected data.

[0095] The "specified format" refers to the document format or output format selected by the user, such as PowerPoint, Word, PDF, etc.

[0096] "Output" refers to the act of providing analyzed or generated information to a user as a document or data.

[0097] "Transferring in real time" means that data is sent to a destination such as a server without delay from the moment it is generated.

[0098] A "screenshot" is a saved image of the contents of a computer screen or device.

[0099] This invention is a system for improving work efficiency, in which a user records a video while verbally explaining an operation procedure, and provides the video and audio data to a generation AI, which analyzes the video and audio data and automatically generates the procedure. This system is implemented with the following configuration and operation.

[0100] System Configuration

[0101] 1. User Device

[0102] The user terminal is a device such as a smartphone or PC, equipped with a camera and microphone for recording operation procedures. An application that includes an interface for starting and stopping recording is also installed. Specific hardware examples include a smartphone camera or a PC webcam. The dedicated application provides a UI that makes it easy to record operation procedures.

[0103] 2. Network

[0104] A communication network is required to send and receive data between user terminals and the server. It is desirable for this network to provide high-speed and stable communication. Specifically, Wi-Fi or wired LAN is used.

[0105] 3. Server

[0106] The server is a computer system equipped with generative AI, and has the ability to receive video and audio data, analyze it, and automatically generate manuals. Specifically, a deep learning model incorporating an audio analysis engine is used as the generative AI model. The server has video analysis software and an audio analysis engine installed.

[0107] Implementation details

[0108] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while recording the actual operation with a camera. During this time, the user's device records video and audio data in real time and transfers it to the server at fixed buffer size intervals.

[0109] The server analyzes the received video and audio data and inputs it into the generation AI. The generation AI synchronizes each frame of the video with the audio data and uses a voice analysis engine to convert the audio into text. This extracts the steps the user has verbally explained as text information. At the same time, the content of the video is also analyzed and organized into specific operating steps.

[0110] The server then automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information. The generated manual appropriately inserts screenshots and related images extracted from the video. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[0111] Specific examples

[0112] Let's take the example of a user creating a manual on how to configure the backend of a website. First, the user launches a dedicated application and verbally explains how to configure the website. For example, the user might say, "First, log in to the admin screen. Next, open the settings tab..." The smartphone records this process and sends the video and audio data to the server in real time.

[0113] The server analyzes the received data and extracts the steps, such as "log in to the administration screen" and "open the settings tab." Based on this, each step is organized into a page in PowerPoint format, and screenshots corresponding to each step are inserted. The completed PowerPoint file is then sent to the user's device via the network. In this way, users can generate high-quality manuals in a short amount of time.

[0114] Prompt Sentence Examples

[0115] Analyze the instructional video and audio data and generate an operating manual by following the steps below:

[0116] 1. Synchronize each frame of video with the audio data and use a speech analysis engine to convert the audio into text.

[0117] 2. Based on the extracted procedure information, a manual is generated in the specified format (PowerPoint, Word, PDF).

[0118] 3. Extract necessary screenshots from the video and insert them into the manual.

[0119] 4. Save the completed manual and provide a download link to the user's device.

[0120] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0121] Step 1:

[0122] The user launches the dedicated application and presses the "Start recording procedure explanation video" button.

[0123] Input: The user presses the start recording button in the application.

[0124] Output: Signal to start recording

[0125] Specific actions: Tap the "Start Recording" button on the smartphone application screen.

[0126] Step 2:

[0127] The user terminal uses a camera and microphone to record video and audio of the operation procedures.

[0128] Input: User instructions and their verbal instructions

[0129] Output: Video and audio files

[0130] Specific operation: The smartphone displays the user's operating procedures, and the microphone records the user's explanations.

[0131] Step 3:

[0132] The user terminal transmits the recorded video and audio data to the server in fixed buffer size increments.

[0133] Input: Video and audio files

[0134] Output: Data transfer signal to the server

[0135] Specific operation: When the smartphone is recording, it automatically sends the data to the server when it reaches a certain capacity (for example, 10MB).

[0136] Step 4:

[0137] The server inputs the received video and audio data into the generation AI.

[0138] Input: Video and audio files from the user's device

[0139] Output: Data input signal to the generation AI

[0140] Specific operation: Data uploaded to the server is automatically passed to the analysis process of the generated AI model.

[0141] Step 5:

[0142] The generative AI synchronizes each frame of video with audio data and uses a speech analysis engine to convert the audio into text.

[0143] Input: Video and audio data

[0144] Output: Speech-to-text data

[0145] How it works: The generative AI model matches the video timeline with the audio and extracts phrases such as "First, log in to the admin panel" as text data.

[0146] Step 6:

[0147] The server analyzes the video and compiles specific operating procedures.

[0148] Input: Video frame data and audio text data

[0149] Output: Organized operation steps

[0150] Specific operation: The server identifies the text "Click the Settings tab" from the video frame and extracts the corresponding screenshot.

[0151] Step 7:

[0152] The server automatically generates a manual in the format specified by the user.

[0153] Input: Organized instructions and screenshots

[0154] Output: Manual file in specified format

[0155] What it does: If the server selects PowerPoint, it will automatically create slides for each step and place screenshots on them.

[0156] Step 8:

[0157] The server saves the generated manual in a specified format and provides it to the user.

[0158] Input: Manual file

[0159] Output: Download link to user's device or email

[0160] Specific behavior: The server saves the created PDF file on the server, sends the download link to the user via email, and allows the user to access the link from within the app.

[0161] (Application example 1)

[0162] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0163] Creating traditional work procedures and manuals takes a great deal of time and effort, resulting in reduced work efficiency. It's also difficult to accurately describe detailed procedures based on video and verbal explanations, leading to inconsistent manual quality. Furthermore, because real-time data transfer and analysis aren't performed, information isn't shared quickly, reducing on-site work efficiency.

[0164] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0165] In this invention, the server includes a means for recording a video while a user orally explains an operation procedure, a means for providing the recorded video and audio data to a generation AI, a means for the generation AI to analyze the video and audio data and automatically generate an operation procedure, a means for outputting the generated operation procedure in a specified format, a means including a generation AI that converts audio data into text and analyzes the operation procedure based on the text data, a means for extracting screenshots for each operation procedure using a video analysis engine, and a means for automatically generating an operation manual using a document generation library based on the analyzed operation procedure information. This enables reliable recording and automatic generation of operations procedures, improving work efficiency and standardizing the quality of manuals.

[0166] A "user terminal" is a device that allows a user to record video while verbally explaining operating procedures, such as a smartphone or tablet equipped with a camera and microphone.

[0167] "Generative AI" refers to artificial intelligence that analyzes video and audio data and automatically generates procedures.

[0168] The "server" is a computer system equipped with a generation AI that receives and analyzes video and audio data and generates procedure manuals.

[0169] A "video analysis engine" is software that analyzes each frame of a video and extracts screenshots for each specific operation procedure.

[0170] A "voice analysis engine" is software that converts voice data into text and uses voice recognition technology.

[0171] The "document generation library" is a software library for automatically generating procedure manuals based on analyzed procedure information.

[0172] A "procedure manual" refers to an operating procedure manual that is automatically generated from video and audio data using generative AI.

[0173] A "screenshot" is an image that captures a specific frame of a video.

[0174] The present invention is a system that automatically generates an operation manual using video and audio recordings of robot operation procedures and maintenance procedures performed by factory workers. A specific embodiment of this system will be described below.

[0175] System Configuration

[0176] This system uses the following hardware and software:

[0177] 1. User device: A smartphone or tablet equipped with a camera and microphone is used. This allows the user to record video while verbally explaining the operating procedures. A dedicated application such as the "FactoryBot Manual Creator App" is also installed on these devices.

[0178] 2. Network: Provide fast and stable communication (e.g., 5G or Wi-Fi 6).

[0179] 3. Server: Powered by generative AI (e.g., Tensorflow® implementation on an AWS® EC2 instance) and includes the following key analytical engines:

[0180] Speech analysis engine: converts speech to text (e.g., Google® Cloud Speech-to-Text API).

[0181] Video analysis engine: Extract screenshots for each operation step (e.g., OpenCV).

[0182] Documentation generation libraries: Automatically generate procedural manuals based on text and screenshots (e.g., ReportLab).

[0183] Operating procedure

[0184] User device operation

[0185] The user first launches the dedicated application on their device and presses the "Start Recording" button to begin recording. The user verbally explains the robot's operation procedures while recording the actual operation with the camera. During recording, the application buffers video and audio data in real time and sends the data to the server.

[0186] Processing on the server

[0187] The server analyzes the received video and audio data. It uses a voice analysis engine to convert the audio data into text, and analyzes the procedures based on this text data. At the same time, it uses a video analysis engine to extract screenshots for each frame, which allows it to compile specific operating procedures.

[0188] Manual Generation

[0189] Using the document generation library "ReportLab," a procedure manual is automatically generated based on the analyzed procedure information. This manual is output in a specified format (e.g., PDF format), and a download link is provided to the user's device via the Internet, or it is sent directly to the user's email address.

[0190] Examples of concrete examples and prompts

[0191] Here is an example prompt:

[0192] Video description: "To loosen this bolt, first take a wrench. Then turn it clockwise..."

[0193] Prompt: "Write a manual on maintenance procedures for factory robots. Include clear explanations and illustrations of the steps in this video."

[0194] The video recorded by the user explaining the steps is then analyzed on the server and converted into a detailed instruction manual. For example, instructions such as "pick up a wrench" and "turn it clockwise" are converted into text, and screenshots of the corresponding operation scenes are inserted into the manual. In this way, high-quality, detailed manuals are generated quickly.

[0195] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0196] Step 1:

[0197] The user operates the device to start recording

[0198] The user simply launches the FactoryBot Manual Creator App on their smartphone or tablet and presses the start recording button, which activates the device's camera and microphone and begins recording the user's operating procedures and verbal instructions as video and audio.

[0199] input:

[0200] User procedure videos

[0201] User's verbal explanation

[0202] output:

[0203] Video data

[0204] Audio data

[0205] Step 2:

[0206] The device transmits video and audio data to the server in real time.

[0207] The video and audio data being recorded is stored in a buffer and then sent to the server in real time at regular intervals, making network speed and stability important.

[0208] input:

[0209] Video being recorded

[0210] Audio during recording

[0211] output:

[0212] Video data sent to the server

[0213] Audio data sent to the server

[0214] Step 3:

[0215] The server analyzes the received video and audio data.

[0216] The server analyzes the received data, converting the audio data into text using the Google Cloud Speech-to-Text API, and analyzing each frame of the video using OpenCV to extract screenshots for each specific operation step.

[0217] input:

[0218] Video data sent to the server

[0219] Audio data sent to the server

[0220] output:

[0221] Text-converted audio data

[0222] screenshot image

[0223] Step 4:

[0224] Generative AI analyzes procedures based on audio and video

[0225] The AI ​​synchronises the text information in the audio data with the screenshots from the video, organising and analyzing each operation step, which allows it to link each operation step to the appropriate screenshot.

[0226] input:

[0227] Text-converted audio data

[0228] screenshot image

[0229] output:

[0230] Organized procedural information

[0231] Step 5:

[0232] Generate procedure manuals using a document generation library

[0233] Based on the parsed procedure information, the server uses Python's ReportLab to automatically generate a procedure manual (e.g., PDF) that details each step with text and screenshots.

[0234] input:

[0235] Organized procedural information

[0236] output:

[0237] Generated procedure manual (PDF, etc.)

[0238] Step 6:

[0239] Provide users with a completed procedure manual

[0240] The server stores the generated procedure manual and provides the user with a download link, or sends the manual directly to the user's email address.

[0241] input:

[0242] Generated procedure manual (PDF, etc.)

[0243] output:

[0244] Download link for users

[0245] Sending email to users

[0246] Through these steps, high-quality manuals that clearly explain factory work procedures are automatically generated and efficiently provided.

[0247] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0248] The present invention is a system in which a user records a video while verbally explaining an operation procedure, and provides the video and audio data, as well as the user's emotional data, to a generation AI, which then analyzes the data and automatically generates a procedure. Furthermore, the system outputs the generated procedure in a specified format.

[0249] System Configuration

[0250] 1. User Device:

[0251] The device must be a smartphone or PC equipped with a camera and microphone for recording operation procedures, and must have an application installed that includes an interface for starting and stopping recording.

[0252] 2. Network:

[0253] A communication network is required to transmit and receive data between the user terminal and the server, and it is desirable that this network provide high-speed and stable communication.

[0254] 3. Server:

[0255] This computer system is equipped with generative AI and an emotion engine, and has the ability to receive video and audio data, analyze it, and automatically generate manuals.

[0256] Implementation details

[0257] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while the camera records the actual operation. During this time, the user's device records video and audio data in real time and also analyzes the user's emotions using an emotion engine. Data is transferred to the server at fixed buffer size intervals.

[0258] The server analyzes the received video, audio, and emotional data and inputs it into the generation AI. The generation AI synchronizes each frame of the video with the audio data and uses a voice analysis engine to convert the audio into text. This extracts the steps the user verbally explained as text information. At the same time, the emotional data is also analyzed, and information such as which steps the user felt stressed at is obtained.

[0259] The server automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information and emotional information. Screenshots and related images extracted from the video are inserted appropriately into the generated manual. Emotional data can also be used to highlight areas that require special attention or that are likely to cause stress to the user. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[0260] Specific examples

[0261] For example, let's consider the case where a webmaster is creating a manual on how to configure the backend of a website. The webmaster launches a dedicated application and performs website configuration operations, verbally explaining, "First, log in to the administration screen. Next, open the settings tab..." The smartphone records this and sends the video and audio data to the server in real time. At this time, the emotion engine also analyzes the webmaster's emotions and identifies areas where he or she feels stress or difficulty.

[0262] The server analyzes the received data and extracts steps such as "log in to the admin panel" and "open the settings tab." Based on this, each step is organized into a page in PowerPoint format, and screenshots corresponding to each step are inserted. Furthermore, based on the emotional data, comments and guidelines calling for special attention are added to steps that cause stress. The completed PowerPoint file is then sent to the web administrator's device via the network.

[0263] In this way, not only can users generate high-quality manuals in a short amount of time, but by utilizing emotional data, it is possible to create more user-friendly manuals that take into account the user's stress points.

[0264] The processing flow will be explained below.

[0265] Step 1:

[0266] The user presses the "Start recording procedure explanation video" button on their smartphone or PC to begin recording. The user verbally explains the operation procedures while recording the actual operations with a camera.

[0267] Step 2:

[0268] The device activates the recording module and starts recording video and audio data. At the same time, the emotion engine also activates, analyzing the user's emotions in real time from their facial expressions and voice.

[0269] Step 3:

[0270] The device transmits video, audio, and emotion data to a server in real time, and the data is transferred via a communication network.

[0271] Step 4:

[0272] The server stores the received video, audio, and emotion data and checks the synchronization of the video and audio. This step also checks the integrity of the data.

[0273] Step 5:

[0274] The server divides the video data into frames and records the timestamp of each frame, which makes it possible to identify specific operational steps within the video.

[0275] Step 6:

[0276] The server then processes the speech data through a speech recognition engine and converts it into text data. The user's verbal description, including the emotion recognition results, is extracted as text information.

[0277] Step 7:

[0278] The server analyzes the text data and emotion data and maps each step to the corresponding frame and timestamp, allowing each operation step and its associated emotion information to be clearly identified.

[0279] Step 8:

[0280] The server creates the basic structure of a document based on the procedure data and emotion data, using a template in a format (PowerPoint, Word, PDF, etc.) specified by the user.

[0281] Step 9:

[0282] The server extracts screenshots and related images from video frames for each step and embeds them into templates. Based on emotion data, parts that require special attention are highlighted.

[0283] Step 10:

[0284] The server optimizes the generated document, adjusts the layout to fit the format, and adds annotations and supplementary explanations to parts where the user has difficulty based on the emotional data.

[0285] Step 11:

[0286] The server saves the final document in the specified format and provides a download link to the user's device, which may also be sent to the user's email address.

[0287] Step 12:

[0288] Users can click the link sent to download the generated manual and use it in their work. This not only significantly reduces the time and effort required to explain procedures, but also provides manuals that take stress points into consideration using emotional data.

[0289] Example 2

[0290] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0291] Conventional operating procedure explanation systems require users to manually record operating procedures and create manuals, which is labor-intensive and makes it difficult to reflect the user's emotions and stress points. Therefore, an efficient and user-friendly method for creating operating procedure explanation manuals is needed.

[0292] The specification process by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for recording a video while the user orally explains the operating procedure, a means for providing the recorded video, audio data, and emotional data to the generation AI, a means for the generation AI to analyze the video, audio data, and emotional data and automatically generate information that takes into account the procedure and the user's emotions, and a means for outputting the generated information that takes into account the procedure and the user's emotions in a specified format. This not only enables the user to efficiently create a high-quality manual in a short amount of time, but also makes it possible to generate an easy-to-use manual that reflects the user's emotions and stress points.

[0293] An "operational procedure" refers to a series of actions or procedures that a user performs to perform a particular task or function.

[0294] "Verbal explanation" refers to the act of the user explaining something verbally using their voice.

[0295] "Video" refers to continuous video data recorded using a device such as a camera.

[0296] "Audio data" refers to data that stores recorded sound information in digital format.

[0297] "Emotion data" refers to data that indicates the user's emotional state, analyzed from information such as facial expressions and tone of voice.

[0298] "Generative AI" refers to a system that uses artificial intelligence techniques to analyze input data and automatically generate specific results or outputs.

[0299] "Analysis" refers to the process of examining and evaluating collected data and extracting information based on it.

[0300] "Format" refers to a particular form or structure for displaying or storing documents or data.

[0301] "Real-time" refers to data being processed and transmitted immediately at the moment it is collected.

[0302] "Automatic procedure generation" refers to the process whereby a system generates operating procedures based on collected data without human intervention.

[0303] The present invention is a system in which a user records a video while verbally explaining an operation procedure, and provides the video, audio data, and emotional data to a generation AI, which then analyzes the video and audio data and automatically generates a procedure. The system aims to output the generated procedure in a specified format. A specific example is shown below.

[0304] System configuration and hardware / software used

[0305] 1. User Device:

[0306] A device such as a smartphone or PC equipped with a camera and microphone for recording operating procedures.

[0307] An application that includes an interface for starting and stopping recording is installed. Specifically, you can use a recording application for your mobile OS or desktop recording software.

[0308] 2. Network:

[0309] A communication network is required to send and receive data between user terminals and servers, and a high-speed, stable communication environment is required.

[0310] 3. Server:

[0311] It uses a computer system equipped with generative AI and an emotion engine.

[0312] It has the ability to receive video and audio data, analyze it, and automatically generate manuals, using cloud servers and dedicated data centers.

[0313] Specific examples

[0314] For example, let's consider the case where a webmaster is creating a manual on how to configure the backend of a website. The webmaster launches a dedicated application and performs website configuration operations, verbally explaining, "First, log in to the administration screen. Next, open the settings tab..." The smartphone records this and sends the video and audio data to the server in real time. At this time, the emotion engine also analyzes the webmaster's emotions and identifies areas where he or she feels stress or difficulty.

[0315] Prompt Sentence Examples

[0316] Below are some of the prompts to be input to the generative AI model.

[0317] Prompt: "Please explain the backend setup steps for your website."

[0318] Description:

[0319] 1. First, log in to your admin page.

[0320] 2. Open the Settings tab.

[0321] 3. ...

[0322] How it works

[0323] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while the camera records the actual operation. During this time, the user's device records video and audio data in real time and also analyzes the user's emotions using an emotion engine. Data is transferred to the server at fixed buffer size intervals.

[0324] The server analyzes the received video, audio, and emotional data. The generation AI synchronizes each frame of the video with the audio data and uses a speech analysis engine to convert the audio into text. This extracts the steps the user verbally explained as text information. At the same time, the emotional data is also analyzed to obtain information such as which steps the user felt stressed at.

[0325] The server automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information and emotional information. Screenshots and related images extracted from the video are inserted appropriately into the generated manual. Emotional data can also be used to highlight areas that require special attention or that are likely to cause stress to the user. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[0326] In this way, not only can users generate high-quality manuals in a short amount of time, but by utilizing emotional data, it is possible to create more user-friendly manuals that take into account the user's stress points.

[0327] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0328] Step 1:

[0329] The user launches an application.

[0330] Specific operation: Tap or click the icon of the dedicated application installed on your smartphone or PC to launch it.

[0331] Input: User action (launching the app).

[0332] Output: The application's welcome screen is displayed.

[0333] Step 2:

[0334] The user starts recording.

[0335] Specific action: Tap or click the "Start Recording" button within the application.

[0336] Input: User action (instruction to start recording).

[0337] Output: Recording begins and camera and microphone are activated.

[0338] Step 3:

[0339] Collect video and audio data while your device is recording.

[0340] How it works: While the camera captures video, the microphone records audio. Dedicated emotion analysis software analyzes facial expressions and tone of voice to generate emotional data.

[0341] Input: User action (start of instruction).

[0342] Output: Video data, audio data, and emotion data are generated.

[0343] Step 4:

[0344] The device transfers the recorded data to the server in real time.

[0345] Specific operation: Recorded data (video, audio, emotion data) is uploaded to the server via the network at fixed buffer size intervals.

[0346] Input: Video data, audio data, emotion data.

[0347] Output: Data is sent to the server.

[0348] Step 5:

[0349] The server analyzes the received data.

[0350] How it works: Using a generative AI and a voice analysis engine, it synchronizes the received video and audio data, converts the audio into text, and analyzes emotional data to identify which steps the user feels stressed at.

[0351] Input: Video data, audio data, emotion data.

[0352] Output: Extracted text data and parsed sentiment data.

[0353] Step 6:

[0354] The server automatically generates procedures and creates a manual in the specified format.

[0355] How it works: Based on the extracted text data, the AI ​​automatically generates operating procedures and creates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.). Screenshots and related images are inserted appropriately, and warnings and guidelines are added based on emotion data.

[0356] Input: Extracted text data, parsed sentiment data, specified format.

[0357] Output: A formatted manual.

[0358] Step 7:

[0359] The server transmits the completed manual to the user terminal.

[0360] Specific operation: Save the completed manual in the specified format and provide a download link to the user's device or send it directly to the user's email address.

[0361] Input: Formatted manual.

[0362] Output: A download link or email is provided to the user.

[0363] By dividing the processing into steps in this way, the flow of the entire system becomes clear, and the specific data processing and data calculations performed at each step, as well as the resulting output, are clearly indicated.

[0364] (Application example 2)

[0365] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0366] Conventional methods for collecting and sharing work procedures within factories require a great deal of time and effort for manual creation and training, making them inefficient. Furthermore, there was no way to identify the stress points workers felt during their work, which often resulted in inefficient work. With conventional technology, it was difficult to automatically generate procedure manuals based on emotion data, and output in a variety of formats was limited, so improved usability was needed.

[0367] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0368] In this invention, the server includes a means for recording a video of a user verbally explaining an operation procedure, a means for collecting the recorded video and audio data as well as emotional data, a means for a generation AI to analyze the video, audio data, and emotional data to automatically generate an operation procedure, and a means for outputting the generated operation procedure in a specified format and including additional information based on the emotional data. This enables the automatic generation of high-quality operation manuals that reflect the user's experience and stress points in real time.

[0369] An "operational procedure" is the sequence and method of actions and steps required for a user to perform a specific task.

[0370] "Movie" is a visual medium that expresses movement by sequentially displaying a series of still images.

[0371] "Audio data" refers to data for recording and processing sound waves as digital information.

[0372] "Generative AI" is an artificial intelligence system that analyzes specific patterns based on given data and automatically generates new information and procedures.

[0373] "Emotion data" is data obtained as a result of analyzing the user's emotional state, and includes emotional indicators such as stress, satisfaction, and confusion.

[0374] A "format" is a standard or template for organizing and arranging data or information in a particular form or style.

[0375] "Real-time" refers to data acquisition and processing occurring in real time without any time delay.

[0376] "Analysis" is the process of breaking down data and understanding and evaluating its structure and meaning.

[0377] A "procedure manual" is a document that describes specific steps for performing a specific task or operation.

[0378] "Additional information" refers to supplementary explanations or cautions provided in addition to the basic information.

[0379] A "server" is a computer system that responds to requests from clients on a network and processes and stores data.

[0380] "Recording" is the act of recording audio and video on equipment.

[0381] "Collection" is the act of gathering necessary data and information.

[0382] "Output" is the act of displaying, printing, or writing out data or information in digital form.

[0383] The present invention provides a system for recording operation procedures using smart glasses and analyzing the recorded data. Specific embodiments of the invention are described below.

[0384] System Configuration

[0385] 1. User Device:

[0386] Use smart glasses (commonly known as wearable cameras and audio recording devices). Smart glasses are equipped with a camera and microphone, allowing for real-time video and audio recording.

[0387] 2. Network:

[0388] A communications network is used to send and receive data between the smart glasses and the server, including a high-speed, stable internet connection.

[0389] 3. Server:

[0390] A computer system equipped with generative AI and an emotion engine that receives and analyzes video, audio, and emotion data to automatically generate instruction manuals.

[0391] Implementation details

[0392] 1. Video and Audio Recording

[0393] The user puts on the smart glasses and taps the "Start recording procedure explanation" button to start recording. As the user performs the actual task while listening to the verbal instructions, the smart glasses' camera and microphone record video and audio in real time. The user does not need to perform any special operations during this process.

[0394] 2. Data transmission

[0395] The recorded data is sent to a server in real time at fixed buffer sizes, including video data, audio data, and emotion data that is analyzed in real time using IBM Watson® Tone Analyzer.

[0396] 3. Data Analysis and Generation Procedures

[0397] The server converts the received data from speech to text using the Google Speech-to-Text API. It then uses OpenCV to analyze the video data frame by frame and extracts appropriate screenshots. The generative AI (OpenAI® GPT-4®) analyzes the text data and emotional data to automatically generate instructions. This extracts the steps verbally explained by the user as text information, and furthermore, based on the emotional data, identifies areas requiring special attention and areas that are likely to cause stress to the user.

[0398] Generate procedure manuals

[0399] The server generates a procedure manual in a specified format (e.g., PDF) based on the analyzed procedure information. This procedure manual includes screenshots and related images for each operation step. Special notes and guidelines are added to stress points identified from the emotional data.

[0400] Distribution of procedure manuals

[0401] The generated procedure manual is sent to the user's device via the network. Specifically, it is sent to the user's email address via AWS's Simple Email Service (SES).

[0402] Specific examples

[0403] For example, when a factory worker records the procedure for replacing a machine part, they can input the following prompt sentences into the generative AI model, which will efficiently collect and analyze the work procedures:

[0404] Prompt Sentence Examples

[0405] Analyze the video and audio of the instruction video and generate instructions in the following format:

[0406] 1. Explanation of the procedure

[0407] 2. Important points to note

[0408] 3. Advice based on emotional data

[0409] example:

[0410] 1. Open your toolbox

[0411] Carefully check how to remove the tools you use

[0412] Place frequently used items at the front while working

[0413] High stress points: Tool placement is difficult to understand, so check in advance

[0414] By using this invention, it is possible to quickly create high-quality procedure manuals, improve work efficiency, and reduce worker stress.

[0415] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0416] Step 1:

[0417] Recording begins with smart glasses

[0418] When the user puts on the smart glasses and taps the "Start recording procedure instructions" button, the camera and microphone are activated, and video and audio of the operating procedures are recorded in real time.

[0419] Input: User operations and video and audio of operating procedures.

[0420] Output: Video and audio data being recorded.

[0421] How it works: The smart glasses' camera captures video, the microphone records audio, and the recording button starts recording data.

[0422] Step 2:

[0423] Emotional Data Analysis

[0424] During recording, an emotion analysis engine installed in the smart glasses analyzes the user's emotional data in real time.

[0425] Input: Video data and audio data being recorded.

[0426] Output: Real-time emotion data.

[0427] Specific operation: Analyzes facial expressions from video data and tone of voice from audio data. Based on this data, the emotional state is determined in real time and data is generated sequentially.

[0428] Step 3:

[0429] Sending data

[0430] The recorded video, audio, and emotion data are transferred to the server in real time at fixed buffer size intervals.

[0431] Input: Video data, audio data, and emotion data being recorded.

[0432] Output: The data sent to the server.

[0433] Specific operation: Data that has reached a certain buffer size on the device is sent to the server in bulk. Data is sent asynchronously to ensure stable communication.

[0434] Step 4:

[0435] Converting audio data to text

[0436] The server converts the received voice data into text data using the Google Speech-to-Text API.

[0437] Input: The audio data sent to the server.

[0438] Output: The audio converted to text.

[0439] Specific operation: Using the Google Speech-to-Text API, phonemic and contextual analysis of the audio data is performed and it is converted into text format.

[0440] Step 5:

[0441] Frame analysis of video data

[0442] The server uses OpenCV to analyze the video data frame by frame and extract screenshots of important scenes.

[0443] Input: Video data sent to the server.

[0444] Output: Analyzed video frames and extracted screenshots.

[0445] Specific behavior: It analyzes each frame to identify significant motion and important scenes that synchronize with the user's speech. It saves these scenes as screenshots.

[0446] Step 6:

[0447] Generate procedure information

[0448] The server uses generative AI (OpenAI GPT-4) to analyze text data and emotional data and automatically generate operating procedures.

[0449] Input: Text data, emotion data and screenshots.

[0450] Output: Auto-generated operating instructions.

[0451] Specific operation: Text data and emotional data are input into the generation AI as prompt sentences, and appropriate procedural information is generated.

[0452] Step 7:

[0453] Formatting procedure manuals

[0454] The server generates a procedure manual in a specified format (PDF) based on the generated procedure information, and includes additional information based on the emotion data.

[0455] Input: Auto-generated operating instructions, screenshots, and emotion data.

[0456] Output: Formatted instructions.

[0457] Specific behavior: Use LaTeX or other formatting tools to properly layout and output instructions, screenshots, and emotion data.

[0458] Step 8:

[0459] Distribution of procedure manuals

[0460] The generated instructions are sent to the user's email address using AWS SES.

[0461] Input: Formatted instructions and user's email address.

[0462] Output: Instructions sent to the user's inbox.

[0463] Specific operation: Calls AWS SES and sends the automatically generated instruction manual data as an attachment to the specified email address.

[0464] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0465] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0466] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0467] [Second embodiment]

[0468] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0469] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0470] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0471] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0472] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0473] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0474] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0475] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0476] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0477] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0478] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0479] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0480] The present invention is a system for improving work efficiency in which a user records a video while verbally explaining an operation procedure, and provides the video and audio data to a generation AI that analyzes the video and audio data and automatically generates the procedure. This system is implemented with the following configuration and operation.

[0481] System Configuration

[0482] 1. User Device:

[0483] The device must be a smartphone or PC equipped with a camera and microphone for recording operation procedures, and must have an application installed that includes an interface for starting and stopping recording.

[0484] 2. Network:

[0485] A communication network is required to transmit and receive data between the user terminal and the server, and it is desirable that this network provide high-speed and stable communication.

[0486] 3. Server:

[0487] This computer system is equipped with generative AI and has the ability to receive video and audio data, analyze it, and automatically generate manuals.

[0488] Implementation details

[0489] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while recording the actual operation with a camera. During this time, the user's device records video and audio data in real time and transfers it to the server at fixed buffer size intervals.

[0490] The server analyzes the received video and audio data and inputs it into the generation AI. The generation AI synchronizes each frame of the video with the audio data and uses a voice analysis engine to convert the audio into text. This extracts the steps the user has verbally explained as text information. At the same time, the content of the video is also analyzed and organized into specific operating steps.

[0491] The server then automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information. The generated manual appropriately inserts screenshots and related images extracted from the video. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[0492] Specific examples

[0493] Let's take the example of a webmaster creating a manual on how to configure the backend of a website. First, the webmaster launches a dedicated application and performs the website configuration operations, verbally explaining, "First, log in to the admin screen. Next, open the settings tab..." The smartphone records this and sends the video and audio data to the server in real time.

[0494] The server analyzes the received data and extracts the steps, such as "log in to the administration screen" and "open the settings tab." Based on this, each step is organized into a page in PowerPoint format, and screenshots corresponding to each step are inserted. The completed PowerPoint file is then sent over the network to the web administrator's device. In this way, users can generate high-quality manuals in a short amount of time.

[0495] The above is an embodiment of the present invention. By using this system, it is expected that the number of steps required to create manuals will be significantly reduced, work efficiency will be improved, and the quality of work will be more uniformly scrutinized.

[0496] The processing flow will be explained below.

[0497] Step 1:

[0498] The user presses the "Start recording procedure video" button on their smartphone or PC to start recording, which activates the camera and microphone to record the operating procedures.

[0499] Step 2:

[0500] The device starts the recording module and starts recording video and audio data. The recorded data is divided into buffers of a certain size.

[0501] Step 3:

[0502] The device transmits the video and audio data being recorded to the server in real time, and the data is transferred via a communication network.

[0503] Step 4:

[0504] The server stores the received video and audio data and checks the video and audio synchronization. This step also checks the data integrity.

[0505] Step 5:

[0506] The server divides the video data into frames and records the timestamp of each frame, which makes it possible to identify specific operational steps within the video.

[0507] Step 6:

[0508] The server then runs the voice data through a speech recognition engine to convert the speech into text data, and performs pre-processing to improve the accuracy of the voice recognition.

[0509] Step 7:

[0510] The server parses the text data and maps each step to its corresponding frame and timestamp, thus unambiguously identifying each operational step.

[0511] Step 8:

[0512] The server creates the basic structure of the document based on the procedure data, using a template in the format (PowerPoint, Word, PDF, etc.) specified by the user.

[0513] Step 9:

[0514] The server extracts screenshots and related images corresponding to each step from the video frames and embeds them in templates, thereby generating a manual that aids visual understanding.

[0515] Step 10:

[0516] The server optimizes the generated document and adjusts the layout to fit the format, resulting in a professional looking document.

[0517] Step 11:

[0518] The server saves the final document in the specified format and provides a download link to the user's device, which may also be sent to the user's email address.

[0519] Step 12:

[0520] Users can click the link provided to download the generated manual and use it in their work, significantly reducing the time and effort required to explain procedures.

[0521] Example 1

[0522] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0523] The conventional method of creating procedure manuals required manual editing and organization, which was extremely time-consuming and labor-intensive. Furthermore, when operational procedures were complex, misunderstandings were likely to occur, and steps were often omitted or incorrectly performed. This resulted in issues such as reduced work efficiency and inconsistent quality. Furthermore, there was a lack of a system for transferring data to a server in real time, making it impossible to perform immediate analysis.

[0524] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0525] In this invention, the server includes a device for recording a video of a user verbally explaining an operation procedure, a device for providing the recorded video and audio data to a generation AI, a device for the generation AI to analyze the video and audio data and automatically generate procedures, a device for outputting the generated procedures in a specified format, and a device for transferring the video and audio data to the server in real time. This allows users to automatically generate procedure manuals easily and quickly, significantly improving work efficiency and enabling the generation of uniform, high-quality procedure manuals.

[0526] An "operation procedure" is a series of operations or a flow of operations that a user performs to achieve a specific purpose.

[0527] "Verbal explanation" refers to the act of the user explaining procedures and operating methods using voice.

[0528] A "video" is a collection of continuous image data captured using a camera.

[0529] "Audio data" refers to sound waves recorded using a microphone and stored in digital format.

[0530] "Generative AI" refers to systems or programs that use artificial intelligence to process and analyze data, achieving automatic generation.

[0531] "Analysis" is the process of processing data to extract meaningful information.

[0532] "Automatically generating procedures" means that the system automatically creates operating procedures based on collected data.

[0533] The "specified format" refers to the document format or output format selected by the user, such as PowerPoint, Word, PDF, etc.

[0534] "Output" refers to the act of providing analyzed or generated information to a user as a document or data.

[0535] "Transferring in real time" means that data is sent to a destination such as a server without delay from the moment it is generated.

[0536] A "screenshot" is a saved image of the contents of a computer screen or device.

[0537] This invention is a system for improving work efficiency, in which a user records a video while verbally explaining an operation procedure, and provides the video and audio data to a generation AI, which analyzes the video and audio data and automatically generates the procedure. This system is implemented with the following configuration and operation.

[0538] System Configuration

[0539] 1. User Device

[0540] The user terminal is a device such as a smartphone or PC, equipped with a camera and microphone for recording operation procedures. An application that includes an interface for starting and stopping recording is also installed. Specific hardware examples include a smartphone camera or a PC webcam. The dedicated application provides a UI that makes it easy to record operation procedures.

[0541] 2. Network

[0542] A communication network is required to send and receive data between user terminals and the server. It is desirable for this network to provide high-speed and stable communication. Specifically, Wi-Fi or wired LAN is used.

[0543] 3. Server

[0544] The server is a computer system equipped with generative AI, and has the ability to receive video and audio data, analyze it, and automatically generate manuals. Specifically, a deep learning model incorporating an audio analysis engine is used as the generative AI model. The server has video analysis software and an audio analysis engine installed.

[0545] Implementation details

[0546] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while recording the actual operation with a camera. During this time, the user's device records video and audio data in real time and transfers it to the server at fixed buffer size intervals.

[0547] The server analyzes the received video and audio data and inputs it into the generation AI. The generation AI synchronizes each frame of the video with the audio data and uses a voice analysis engine to convert the audio into text. This extracts the steps the user has verbally explained as text information. At the same time, the content of the video is also analyzed and organized into specific operating steps.

[0548] The server then automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information. The generated manual appropriately inserts screenshots and related images extracted from the video. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[0549] Specific examples

[0550] Let's take the example of a user creating a manual on how to configure the backend of a website. First, the user launches a dedicated application and verbally explains how to configure the website. For example, the user might say, "First, log in to the admin screen. Next, open the settings tab..." The smartphone records this process and sends the video and audio data to the server in real time.

[0551] The server analyzes the received data and extracts the steps, such as "log in to the administration screen" and "open the settings tab." Based on this, each step is organized into a page in PowerPoint format, and screenshots corresponding to each step are inserted. The completed PowerPoint file is then sent to the user's device via the network. In this way, users can generate high-quality manuals in a short amount of time.

[0552] Prompt Sentence Examples

[0553] Analyze the instructional video and audio data and generate an operating manual by following the steps below:

[0554] 1. Synchronize each frame of video with the audio data and use a speech analysis engine to convert the audio into text.

[0555] 2. Based on the extracted procedure information, a manual is generated in the specified format (PowerPoint, Word, PDF).

[0556] 3. Extract necessary screenshots from the video and insert them into the manual.

[0557] 4. Save the completed manual and provide a download link to the user's device.

[0558] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0559] Step 1:

[0560] The user launches the dedicated application and presses the "Start recording procedure explanation video" button.

[0561] Input: The user presses the start recording button in the application.

[0562] Output: Signal to start recording

[0563] Specific actions: Tap the "Start Recording" button on the smartphone application screen.

[0564] Step 2:

[0565] The user terminal uses a camera and microphone to record video and audio of the operation procedures.

[0566] Input: User instructions and their verbal instructions

[0567] Output: Video and audio files

[0568] Specific operation: The smartphone displays the user's operating procedures, and the microphone records the user's explanations.

[0569] Step 3:

[0570] The user terminal transmits the recorded video and audio data to the server in fixed buffer size increments.

[0571] Input: Video and audio files

[0572] Output: Data transfer signal to the server

[0573] Specific operation: When the smartphone is recording, it automatically sends the data to the server when it reaches a certain capacity (for example, 10MB).

[0574] Step 4:

[0575] The server inputs the received video and audio data into the generation AI.

[0576] Input: Video and audio files from the user's device

[0577] Output: Data input signal to the generation AI

[0578] Specific operation: Data uploaded to the server is automatically passed to the analysis process of the generated AI model.

[0579] Step 5:

[0580] The generative AI synchronizes each frame of video with audio data and uses a speech analysis engine to convert the audio into text.

[0581] Input: Video and audio data

[0582] Output: Speech-to-text data

[0583] How it works: The generative AI model matches the video timeline with the audio and extracts phrases such as "First, log in to the admin panel" as text data.

[0584] Step 6:

[0585] The server analyzes the video and compiles specific operating procedures.

[0586] Input: Video frame data and audio text data

[0587] Output: Organized operation steps

[0588] Specific operation: The server identifies the text "Click the Settings tab" from the video frame and extracts the corresponding screenshot.

[0589] Step 7:

[0590] The server automatically generates a manual in the format specified by the user.

[0591] Input: Organized instructions and screenshots

[0592] Output: Manual file in specified format

[0593] What it does: If the server selects PowerPoint, it will automatically create slides for each step and place screenshots on them.

[0594] Step 8:

[0595] The server saves the generated manual in a specified format and provides it to the user.

[0596] Input: Manual file

[0597] Output: Download link to user's device or email

[0598] Specific behavior: The server saves the created PDF file on the server, sends the download link to the user via email, and allows the user to access the link from within the app.

[0599] (Application example 1)

[0600] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0601] Creating traditional work procedures and manuals takes a great deal of time and effort, resulting in reduced work efficiency. It's also difficult to accurately describe detailed procedures based on video and verbal explanations, leading to inconsistent manual quality. Furthermore, because real-time data transfer and analysis aren't performed, information isn't shared quickly, reducing on-site work efficiency.

[0602] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0603] In this invention, the server includes a means for recording a video while a user orally explains an operation procedure, a means for providing the recorded video and audio data to a generation AI, a means for the generation AI to analyze the video and audio data and automatically generate an operation procedure, a means for outputting the generated operation procedure in a specified format, a means including a generation AI that converts audio data into text and analyzes the operation procedure based on the text data, a means for extracting screenshots for each operation procedure using a video analysis engine, and a means for automatically generating an operation manual using a document generation library based on the analyzed operation procedure information. This enables reliable recording and automatic generation of operations procedures, improving work efficiency and standardizing the quality of manuals.

[0604] A "user terminal" is a device that allows a user to record video while verbally explaining operating procedures, such as a smartphone or tablet equipped with a camera and microphone.

[0605] "Generative AI" refers to artificial intelligence that analyzes video and audio data and automatically generates procedures.

[0606] The "server" is a computer system equipped with a generation AI that receives and analyzes video and audio data and generates procedure manuals.

[0607] A "video analysis engine" is software that analyzes each frame of a video and extracts screenshots for each specific operation procedure.

[0608] A "voice analysis engine" is software that converts voice data into text and uses voice recognition technology.

[0609] The "document generation library" is a software library for automatically generating procedure manuals based on analyzed procedure information.

[0610] A "procedure manual" refers to an operating procedure manual that is automatically generated from video and audio data using generative AI.

[0611] A "screenshot" is an image that captures a specific frame of a video.

[0612] The present invention is a system that automatically generates an operation manual using video and audio recordings of robot operation procedures and maintenance procedures performed by factory workers. A specific embodiment of this system will be described below.

[0613] System Configuration

[0614] This system uses the following hardware and software:

[0615] 1. User device: A smartphone or tablet equipped with a camera and microphone is used. This allows the user to record video while verbally explaining the operating procedures. A dedicated application such as the "FactoryBot Manual Creator App" is also installed on these devices.

[0616] 2. Network: Provide fast and stable communication (e.g., 5G or Wi-Fi 6).

[0617] 3. Server: Powered by generative AI (e.g. TensorFlow implementation on AWS EC2 instances) and includes the following key analytics engines:

[0618] Speech analysis engine: Converts speech to text (e.g., Google Cloud Speech-to-Text API).

[0619] Video analysis engine: Extract screenshots for each operation step (e.g., OpenCV).

[0620] Documentation generation libraries: Automatically generate procedural manuals based on text and screenshots (e.g., ReportLab).

[0621] Operating procedure

[0622] User device operation

[0623] The user first launches the dedicated application on their device and presses the "Start Recording" button to begin recording. The user verbally explains the robot's operation procedures while recording the actual operation with the camera. During recording, the application buffers video and audio data in real time and sends the data to the server.

[0624] Processing on the server

[0625] The server analyzes the received video and audio data. It uses a voice analysis engine to convert the audio data into text, and analyzes the procedures based on this text data. At the same time, it uses a video analysis engine to extract screenshots for each frame, which allows it to compile specific operating procedures.

[0626] Manual Generation

[0627] Using the document generation library "ReportLab," a procedure manual is automatically generated based on the analyzed procedure information. This manual is output in a specified format (e.g., PDF format), and a download link is provided to the user's device via the Internet, or it is sent directly to the user's email address.

[0628] Examples of concrete examples and prompts

[0629] Here is an example prompt:

[0630] Video description: "To loosen this bolt, first take a wrench. Then turn it clockwise..."

[0631] Prompt: "Write a manual on maintenance procedures for factory robots. Include clear explanations and illustrations of the steps in this video."

[0632] The video recorded by the user explaining the steps is then analyzed on the server and converted into a detailed instruction manual. For example, instructions such as "pick up a wrench" and "turn it clockwise" are converted into text, and screenshots of the corresponding operation scenes are inserted into the manual. In this way, high-quality, detailed manuals are generated quickly.

[0633] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0634] Step 1:

[0635] The user operates the device to start recording

[0636] The user simply launches the FactoryBot Manual Creator App on their smartphone or tablet and presses the start recording button, which activates the device's camera and microphone and begins recording the user's operating procedures and verbal instructions as video and audio.

[0637] input:

[0638] User procedure videos

[0639] User's verbal explanation

[0640] output:

[0641] Video data

[0642] Audio data

[0643] Step 2:

[0644] The device transmits video and audio data to the server in real time.

[0645] The video and audio data being recorded is stored in a buffer and then sent to the server in real time at regular intervals, making network speed and stability important.

[0646] input:

[0647] Video being recorded

[0648] Audio during recording

[0649] output:

[0650] Video data sent to the server

[0651] Audio data sent to the server

[0652] Step 3:

[0653] The server analyzes the received video and audio data.

[0654] The server analyzes the received data, converting the audio data into text using the Google Cloud Speech-to-Text API, and analyzing each frame of the video using OpenCV to extract screenshots for each specific operation step.

[0655] input:

[0656] Video data sent to the server

[0657] Audio data sent to the server

[0658] output:

[0659] Text-converted audio data

[0660] screenshot image

[0661] Step 4:

[0662] Generative AI analyzes procedures based on audio and video

[0663] The AI ​​synchronises the text information in the audio data with the screenshots from the video, organising and analyzing each operation step, which allows it to link each operation step to the appropriate screenshot.

[0664] input:

[0665] Text-converted audio data

[0666] screenshot image

[0667] output:

[0668] Organized procedural information

[0669] Step 5:

[0670] Generate procedure manuals using a document generation library

[0671] Based on the parsed procedure information, the server uses Python's ReportLab to automatically generate a procedure manual (e.g., PDF) that details each step with text and screenshots.

[0672] input:

[0673] Organized procedural information

[0674] output:

[0675] Generated procedure manual (PDF, etc.)

[0676] Step 6:

[0677] Provide users with a completed procedure manual

[0678] The server stores the generated procedure manual and provides the user with a download link, or sends the manual directly to the user's email address.

[0679] input:

[0680] Generated procedure manual (PDF, etc.)

[0681] output:

[0682] Download link for users

[0683] Sending email to users

[0684] Through these steps, high-quality manuals that clearly explain factory work procedures are automatically generated and efficiently provided.

[0685] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0686] The present invention is a system in which a user records a video while verbally explaining an operation procedure, and provides the video and audio data, as well as the user's emotional data, to a generation AI, which then analyzes the data and automatically generates a procedure. Furthermore, the system outputs the generated procedure in a specified format.

[0687] System Configuration

[0688] 1. User Device:

[0689] The device must be a smartphone or PC equipped with a camera and microphone for recording operation procedures, and must have an application installed that includes an interface for starting and stopping recording.

[0690] 2. Network:

[0691] A communication network is required to transmit and receive data between the user terminal and the server, and it is desirable that this network provide high-speed and stable communication.

[0692] 3. Server:

[0693] This computer system is equipped with generative AI and an emotion engine, and has the ability to receive video and audio data, analyze it, and automatically generate manuals.

[0694] Implementation details

[0695] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while the camera records the actual operation. During this time, the user's device records video and audio data in real time and also analyzes the user's emotions using an emotion engine. Data is transferred to the server at fixed buffer size intervals.

[0696] The server analyzes the received video, audio, and emotional data and inputs it into the generation AI. The generation AI synchronizes each frame of the video with the audio data and uses a voice analysis engine to convert the audio into text. This extracts the steps the user verbally explained as text information. At the same time, the emotional data is also analyzed, and information such as which steps the user felt stressed at is obtained.

[0697] The server automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information and emotional information. Screenshots and related images extracted from the video are inserted appropriately into the generated manual. Emotional data can also be used to highlight areas that require special attention or that are likely to cause stress to the user. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[0698] Specific examples

[0699] For example, let's consider the case where a webmaster is creating a manual on how to configure the backend of a website. The webmaster launches a dedicated application and performs website configuration operations, verbally explaining, "First, log in to the administration screen. Next, open the settings tab..." The smartphone records this and sends the video and audio data to the server in real time. At this time, the emotion engine also analyzes the webmaster's emotions and identifies areas where he or she feels stress or difficulty.

[0700] The server analyzes the received data and extracts steps such as "log in to the admin panel" and "open the settings tab." Based on this, each step is organized into a page in PowerPoint format, and screenshots corresponding to each step are inserted. Furthermore, based on the emotional data, comments and guidelines calling for special attention are added to steps that cause stress. The completed PowerPoint file is then sent to the web administrator's device via the network.

[0701] In this way, not only can users generate high-quality manuals in a short amount of time, but by utilizing emotional data, it is possible to create more user-friendly manuals that take into account the user's stress points.

[0702] The processing flow will be explained below.

[0703] Step 1:

[0704] The user presses the "Start recording procedure explanation video" button on their smartphone or PC to begin recording. The user verbally explains the operation procedures while recording the actual operations with a camera.

[0705] Step 2:

[0706] The device activates the recording module and starts recording video and audio data. At the same time, the emotion engine also activates, analyzing the user's emotions in real time from their facial expressions and voice.

[0707] Step 3:

[0708] The device transmits video, audio, and emotion data to a server in real time, and the data is transferred via a communication network.

[0709] Step 4:

[0710] The server stores the received video, audio, and emotion data and checks the synchronization of the video and audio. This step also checks the integrity of the data.

[0711] Step 5:

[0712] The server divides the video data into frames and records the timestamp of each frame, which makes it possible to identify specific operational steps within the video.

[0713] Step 6:

[0714] The server then processes the speech data through a speech recognition engine and converts it into text data. The user's verbal description, including the emotion recognition results, is extracted as text information.

[0715] Step 7:

[0716] The server analyzes the text data and emotion data and maps each step to the corresponding frame and timestamp, allowing each operation step and its associated emotion information to be clearly identified.

[0717] Step 8:

[0718] The server creates the basic structure of a document based on the procedure data and emotion data, using a template in a format (PowerPoint, Word, PDF, etc.) specified by the user.

[0719] Step 9:

[0720] The server extracts screenshots and related images from video frames for each step and embeds them into templates. Based on emotion data, parts that require special attention are highlighted.

[0721] Step 10:

[0722] The server optimizes the generated document, adjusts the layout to fit the format, and adds annotations and supplementary explanations to parts where the user has difficulty based on the emotional data.

[0723] Step 11:

[0724] The server saves the final document in the specified format and provides a download link to the user's device, which may also be sent to the user's email address.

[0725] Step 12:

[0726] Users can click the link sent to download the generated manual and use it in their work. This not only significantly reduces the time and effort required to explain procedures, but also provides manuals that take stress points into consideration using emotional data.

[0727] Example 2

[0728] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0729] Conventional operating procedure explanation systems require users to manually record operating procedures and create manuals, which is labor-intensive and makes it difficult to reflect the user's emotions and stress points. Therefore, an efficient and user-friendly method for creating operating procedure explanation manuals is needed.

[0730] The specification process by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for recording a video while the user orally explains the operating procedure, a means for providing the recorded video, audio data, and emotional data to the generation AI, a means for the generation AI to analyze the video, audio data, and emotional data and automatically generate information that takes into account the procedure and the user's emotions, and a means for outputting the generated information that takes into account the procedure and the user's emotions in a specified format. This not only enables the user to efficiently create a high-quality manual in a short amount of time, but also makes it possible to generate an easy-to-use manual that reflects the user's emotions and stress points.

[0731] An "operational procedure" refers to a series of actions or procedures that a user performs to perform a particular task or function.

[0732] "Verbal explanation" refers to the act of the user explaining something verbally using their voice.

[0733] "Video" refers to continuous video data recorded using a device such as a camera.

[0734] "Audio data" refers to data that stores recorded sound information in digital format.

[0735] "Emotion data" refers to data that indicates the user's emotional state, analyzed from information such as facial expressions and tone of voice.

[0736] "Generative AI" refers to a system that uses artificial intelligence techniques to analyze input data and automatically generate specific results or outputs.

[0737] "Analysis" refers to the process of examining and evaluating collected data and extracting information based on it.

[0738] "Format" refers to a particular form or structure for displaying or storing documents or data.

[0739] "Real-time" refers to data being processed and transmitted immediately at the moment it is collected.

[0740] "Automatic procedure generation" refers to the process whereby a system generates operating procedures based on collected data without human intervention.

[0741] The present invention is a system in which a user records a video while verbally explaining an operation procedure, and provides the video, audio data, and emotional data to a generation AI, which then analyzes the video and audio data and automatically generates a procedure. The system aims to output the generated procedure in a specified format. A specific example is shown below.

[0742] System configuration and hardware / software used

[0743] 1. User Device:

[0744] A device such as a smartphone or PC equipped with a camera and microphone for recording operating procedures.

[0745] An application that includes an interface for starting and stopping recording is installed. Specifically, you can use a recording application for your mobile OS or desktop recording software.

[0746] 2. Network:

[0747] A communication network is required to send and receive data between user terminals and servers, and a high-speed, stable communication environment is required.

[0748] 3. Server:

[0749] It uses a computer system equipped with generative AI and an emotion engine.

[0750] It has the ability to receive video and audio data, analyze it, and automatically generate manuals, using cloud servers and dedicated data centers.

[0751] Specific examples

[0752] For example, let's consider the case where a webmaster is creating a manual on how to configure the backend of a website. The webmaster launches a dedicated application and performs website configuration operations, verbally explaining, "First, log in to the administration screen. Next, open the settings tab..." The smartphone records this and sends the video and audio data to the server in real time. At this time, the emotion engine also analyzes the webmaster's emotions and identifies areas where he or she feels stress or difficulty.

[0753] Prompt Sentence Examples

[0754] Below are some of the prompts to be input to the generative AI model.

[0755] Prompt: "Please explain the backend setup steps for your website."

[0756] Description:

[0757] 1. First, log in to your admin page.

[0758] 2. Open the Settings tab.

[0759] 3. ...

[0760] How it works

[0761] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while the camera records the actual operation. During this time, the user's device records video and audio data in real time and also analyzes the user's emotions using an emotion engine. Data is transferred to the server at fixed buffer size intervals.

[0762] The server analyzes the received video, audio, and emotional data. The generation AI synchronizes each frame of the video with the audio data and uses a speech analysis engine to convert the audio into text. This extracts the steps the user verbally explained as text information. At the same time, the emotional data is also analyzed to obtain information such as which steps the user felt stressed at.

[0763] The server automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information and emotional information. Screenshots and related images extracted from the video are inserted appropriately into the generated manual. Emotional data can also be used to highlight areas that require special attention or that are likely to cause stress to the user. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[0764] In this way, not only can users generate high-quality manuals in a short amount of time, but by utilizing emotional data, it is possible to create more user-friendly manuals that take into account the user's stress points.

[0765] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0766] Step 1:

[0767] The user launches an application.

[0768] Specific operation: Tap or click the icon of the dedicated application installed on your smartphone or PC to launch it.

[0769] Input: User action (launching the app).

[0770] Output: The application's welcome screen is displayed.

[0771] Step 2:

[0772] The user starts recording.

[0773] Specific action: Tap or click the "Start Recording" button within the application.

[0774] Input: User action (instruction to start recording).

[0775] Output: Recording begins and camera and microphone are activated.

[0776] Step 3:

[0777] Collect video and audio data while your device is recording.

[0778] How it works: While the camera captures video, the microphone records audio. Dedicated emotion analysis software analyzes facial expressions and tone of voice to generate emotional data.

[0779] Input: User action (start of instruction).

[0780] Output: Video data, audio data, and emotion data are generated.

[0781] Step 4:

[0782] The device transfers the recorded data to the server in real time.

[0783] Specific operation: Recorded data (video, audio, emotion data) is uploaded to the server via the network at fixed buffer size intervals.

[0784] Input: Video data, audio data, emotion data.

[0785] Output: Data is sent to the server.

[0786] Step 5:

[0787] The server analyzes the received data.

[0788] How it works: Using a generative AI and a voice analysis engine, it synchronizes the received video and audio data, converts the audio into text, and analyzes emotional data to identify which steps the user feels stressed at.

[0789] Input: Video data, audio data, emotion data.

[0790] Output: Extracted text data and parsed sentiment data.

[0791] Step 6:

[0792] The server automatically generates procedures and creates a manual in the specified format.

[0793] How it works: Based on the extracted text data, the AI ​​automatically generates operating procedures and creates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.). Screenshots and related images are inserted appropriately, and warnings and guidelines are added based on emotion data.

[0794] Input: Extracted text data, parsed sentiment data, specified format.

[0795] Output: A formatted manual.

[0796] Step 7:

[0797] The server transmits the completed manual to the user terminal.

[0798] Specific operation: Save the completed manual in the specified format and provide a download link to the user's device or send it directly to the user's email address.

[0799] Input: Formatted manual.

[0800] Output: A download link or email is provided to the user.

[0801] By dividing the processing into steps in this way, the flow of the entire system becomes clear, and the specific data processing and data calculations performed at each step, as well as the resulting output, are clearly indicated.

[0802] (Application example 2)

[0803] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0804] Conventional methods for collecting and sharing work procedures within factories require a great deal of time and effort for manual creation and training, making them inefficient. Furthermore, there was no way to identify the stress points workers felt during their work, which often resulted in inefficient work. With conventional technology, it was difficult to automatically generate procedure manuals based on emotion data, and output in a variety of formats was limited, so improved usability was needed.

[0805] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0806] In this invention, the server includes a means for recording a video of a user verbally explaining an operation procedure, a means for collecting the recorded video and audio data as well as emotional data, a means for a generation AI to analyze the video, audio data, and emotional data to automatically generate an operation procedure, and a means for outputting the generated operation procedure in a specified format and including additional information based on the emotional data. This enables the automatic generation of high-quality operation manuals that reflect the user's experience and stress points in real time.

[0807] An "operational procedure" is the sequence and method of actions and steps required for a user to perform a specific task.

[0808] "Movie" is a visual medium that expresses movement by sequentially displaying a series of still images.

[0809] "Audio data" refers to data for recording and processing sound waves as digital information.

[0810] "Generative AI" is an artificial intelligence system that analyzes specific patterns based on given data and automatically generates new information and procedures.

[0811] "Emotion data" is data obtained as a result of analyzing the user's emotional state, and includes emotional indicators such as stress, satisfaction, and confusion.

[0812] A "format" is a standard or template for organizing and arranging data or information in a particular form or style.

[0813] "Real-time" refers to data acquisition and processing occurring in real time without any time delay.

[0814] "Analysis" is the process of breaking down data and understanding and evaluating its structure and meaning.

[0815] A "procedure manual" is a document that describes specific steps for performing a specific task or operation.

[0816] "Additional information" refers to supplementary explanations or cautions provided in addition to the basic information.

[0817] A "server" is a computer system that responds to requests from clients on a network and processes and stores data.

[0818] "Recording" is the act of recording audio and video on equipment.

[0819] "Collection" is the act of gathering necessary data and information.

[0820] "Output" is the act of displaying, printing, or writing out data or information in digital form.

[0821] The present invention provides a system for recording operation procedures using smart glasses and analyzing the recorded data. Specific embodiments of the invention are described below.

[0822] System Configuration

[0823] 1. User Device:

[0824] Use smart glasses (commonly known as wearable cameras and audio recording devices). Smart glasses are equipped with a camera and microphone, allowing for real-time video and audio recording.

[0825] 2. Network:

[0826] A communications network is used to send and receive data between the smart glasses and the server, including a high-speed, stable internet connection.

[0827] 3. Server:

[0828] A computer system equipped with generative AI and an emotion engine that receives and analyzes video, audio, and emotion data to automatically generate instruction manuals.

[0829] Implementation details

[0830] 1. Video and Audio Recording

[0831] The user puts on the smart glasses and taps the "Start recording procedure explanation" button to start recording. As the user performs the actual task while listening to the verbal instructions, the smart glasses' camera and microphone record video and audio in real time. The user does not need to perform any special operations during this process.

[0832] 2. Data transmission

[0833] The recorded data is sent to a server in real time at fixed buffer sizes, including video data, audio data, and emotion data, which is analyzed in real time using IBM Watson Tone Analyzer.

[0834] 3. Data Analysis and Generation Procedures

[0835] The server converts the received data from audio to text using the Google Speech-to-Text API. It then uses OpenCV to analyze the video data frame by frame and extracts appropriate screenshots. The generative AI (OpenAI GPT-4) analyzes the text and emotional data to automatically generate steps. This extracts the steps verbally explained by the user as text information, and further identifies areas requiring special attention or areas that are likely to cause stress to the user based on the emotional data.

[0836] Generate procedure manuals

[0837] The server generates a procedure manual in a specified format (e.g., PDF) based on the analyzed procedure information. This procedure manual includes screenshots and related images for each operation step. Special notes and guidelines are added to stress points identified from the emotional data.

[0838] Distribution of procedure manuals

[0839] The generated procedure manual is sent to the user's device via the network. Specifically, it is sent to the user's email address via AWS's Simple Email Service (SES).

[0840] Specific examples

[0841] For example, when a factory worker records the procedure for replacing a machine part, they can input the following prompt sentences into the generative AI model, which will efficiently collect and analyze the work procedures:

[0842] Prompt Sentence Examples

[0843] Analyze the video and audio of the instruction video and generate instructions in the following format:

[0844] 1. Explanation of the procedure

[0845] 2. Important points to note

[0846] 3. Advice based on emotional data

[0847] example:

[0848] 1. Open your toolbox

[0849] Carefully check how to remove the tools you use

[0850] Place frequently used items at the front while working

[0851] High stress points: Tool placement is difficult to understand, so check in advance

[0852] By using this invention, it is possible to quickly create high-quality procedure manuals, improve work efficiency, and reduce worker stress.

[0853] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0854] Step 1:

[0855] Recording begins with smart glasses

[0856] When the user puts on the smart glasses and taps the "Start recording procedure instructions" button, the camera and microphone are activated, and video and audio of the operating procedures are recorded in real time.

[0857] Input: User operations and video and audio of operating procedures.

[0858] Output: Video and audio data being recorded.

[0859] How it works: The smart glasses' camera captures video, the microphone records audio, and the recording button starts recording data.

[0860] Step 2:

[0861] Emotional Data Analysis

[0862] During recording, an emotion analysis engine installed in the smart glasses analyzes the user's emotional data in real time.

[0863] Input: Video data and audio data being recorded.

[0864] Output: Real-time emotion data.

[0865] Specific operation: Analyzes facial expressions from video data and tone of voice from audio data. Based on this data, the emotional state is determined in real time and data is generated sequentially.

[0866] Step 3:

[0867] Sending data

[0868] The recorded video, audio, and emotion data are transferred to the server in real time at fixed buffer size intervals.

[0869] Input: Video data, audio data, and emotion data being recorded.

[0870] Output: The data sent to the server.

[0871] Specific operation: Data that has reached a certain buffer size on the device is sent to the server in bulk. Data is sent asynchronously to ensure stable communication.

[0872] Step 4:

[0873] Converting audio data to text

[0874] The server converts the received voice data into text data using the Google Speech-to-Text API.

[0875] Input: The audio data sent to the server.

[0876] Output: The audio converted to text.

[0877] Specific operation: Using the Google Speech-to-Text API, phonemic and contextual analysis of the audio data is performed and it is converted into text format.

[0878] Step 5:

[0879] Frame analysis of video data

[0880] The server uses OpenCV to analyze the video data frame by frame and extract screenshots of important scenes.

[0881] Input: Video data sent to the server.

[0882] Output: Analyzed video frames and extracted screenshots.

[0883] Specific behavior: It analyzes each frame to identify significant motion and important scenes that synchronize with the user's speech. It saves these scenes as screenshots.

[0884] Step 6:

[0885] Generate procedure information

[0886] The server uses generative AI (OpenAI GPT-4) to analyze text data and emotional data and automatically generate operating procedures.

[0887] Input: Text data, emotion data and screenshots.

[0888] Output: Auto-generated operating instructions.

[0889] Specific operation: Text data and emotional data are input into the generation AI as prompt sentences, and appropriate procedural information is generated.

[0890] Step 7:

[0891] Formatting procedure manuals

[0892] The server generates a procedure manual in a specified format (PDF) based on the generated procedure information, and includes additional information based on the emotion data.

[0893] Input: Auto-generated operating instructions, screenshots, and emotion data.

[0894] Output: Formatted instructions.

[0895] Specific behavior: Use LaTeX or other formatting tools to properly layout and output instructions, screenshots, and emotion data.

[0896] Step 8:

[0897] Distribution of procedure manuals

[0898] The generated instructions are sent to the user's email address using AWS SES.

[0899] Input: Formatted instructions and user's email address.

[0900] Output: Instructions sent to the user's inbox.

[0901] Specific operation: Calls AWS SES and sends the automatically generated instruction manual data as an attachment to the specified email address.

[0902] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0903] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0904] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0905] [Third embodiment]

[0906] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0907] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0908] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0909] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0910] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0911] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0912] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0913] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0914] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0915] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0916] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0917] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0918] The present invention is a system for improving work efficiency in which a user records a video while verbally explaining an operation procedure, and provides the video and audio data to a generation AI that analyzes the video and audio data and automatically generates the procedure. This system is implemented with the following configuration and operation.

[0919] System Configuration

[0920] 1. User Device:

[0921] The device must be a smartphone or PC equipped with a camera and microphone for recording operation procedures, and must have an application installed that includes an interface for starting and stopping recording.

[0922] 2. Network:

[0923] A communication network is required to transmit and receive data between the user terminal and the server, and it is desirable that this network provide high-speed and stable communication.

[0924] 3. Server:

[0925] This computer system is equipped with generative AI and has the ability to receive video and audio data, analyze it, and automatically generate manuals.

[0926] Implementation details

[0927] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while recording the actual operation with a camera. During this time, the user's device records video and audio data in real time and transfers it to the server at fixed buffer size intervals.

[0928] The server analyzes the received video and audio data and inputs it into the generation AI. The generation AI synchronizes each frame of the video with the audio data and uses a voice analysis engine to convert the audio into text. This extracts the steps the user has verbally explained as text information. At the same time, the content of the video is also analyzed and organized into specific operating steps.

[0929] The server then automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information. The generated manual appropriately inserts screenshots and related images extracted from the video. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[0930] Specific examples

[0931] Let's take the example of a webmaster creating a manual on how to configure the backend of a website. First, the webmaster launches a dedicated application and performs the website configuration operations, verbally explaining, "First, log in to the admin screen. Next, open the settings tab..." The smartphone records this and sends the video and audio data to the server in real time.

[0932] The server analyzes the received data and extracts the steps, such as "log in to the administration screen" and "open the settings tab." Based on this, each step is organized into a page in PowerPoint format, and screenshots corresponding to each step are inserted. The completed PowerPoint file is then sent over the network to the web administrator's device. In this way, users can generate high-quality manuals in a short amount of time.

[0933] The above is an embodiment of the present invention. By using this system, it is expected that the number of steps required to create manuals will be significantly reduced, work efficiency will be improved, and the quality of work will be more uniformly scrutinized.

[0934] The processing flow will be explained below.

[0935] Step 1:

[0936] The user presses the "Start recording procedure video" button on their smartphone or PC to start recording, which activates the camera and microphone to record the operating procedures.

[0937] Step 2:

[0938] The device starts the recording module and starts recording video and audio data. The recorded data is divided into buffers of a certain size.

[0939] Step 3:

[0940] The device transmits the video and audio data being recorded to the server in real time, and the data is transferred via a communication network.

[0941] Step 4:

[0942] The server stores the received video and audio data and checks the video and audio synchronization. This step also checks the data integrity.

[0943] Step 5:

[0944] The server divides the video data into frames and records the timestamp of each frame, which makes it possible to identify specific operational steps within the video.

[0945] Step 6:

[0946] The server then runs the voice data through a speech recognition engine to convert the speech into text data, and performs pre-processing to improve the accuracy of the voice recognition.

[0947] Step 7:

[0948] The server parses the text data and maps each step to its corresponding frame and timestamp, thus unambiguously identifying each operational step.

[0949] Step 8:

[0950] The server creates the basic structure of the document based on the procedure data, using a template in the format (PowerPoint, Word, PDF, etc.) specified by the user.

[0951] Step 9:

[0952] The server extracts screenshots and related images corresponding to each step from the video frames and embeds them in templates, thereby generating a manual that aids visual understanding.

[0953] Step 10:

[0954] The server optimizes the generated document and adjusts the layout to fit the format, resulting in a professional looking document.

[0955] Step 11:

[0956] The server saves the final document in the specified format and provides a download link to the user's device, which may also be sent to the user's email address.

[0957] Step 12:

[0958] Users can click the link provided to download the generated manual and use it in their work, significantly reducing the time and effort required to explain procedures.

[0959] Example 1

[0960] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0961] The conventional method of creating procedure manuals required manual editing and organization, which was extremely time-consuming and labor-intensive. Furthermore, when operational procedures were complex, misunderstandings were likely to occur, and steps were often omitted or incorrectly performed. This resulted in issues such as reduced work efficiency and inconsistent quality. Furthermore, there was a lack of a system for transferring data to a server in real time, making it impossible to perform immediate analysis.

[0962] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0963] In this invention, the server includes a device for recording a video of a user verbally explaining an operation procedure, a device for providing the recorded video and audio data to a generation AI, a device for the generation AI to analyze the video and audio data and automatically generate procedures, a device for outputting the generated procedures in a specified format, and a device for transferring the video and audio data to the server in real time. This allows users to automatically generate procedure manuals easily and quickly, significantly improving work efficiency and enabling the generation of uniform, high-quality procedure manuals.

[0964] An "operation procedure" is a series of operations or a flow of operations that a user performs to achieve a specific purpose.

[0965] "Verbal explanation" refers to the act of the user explaining procedures and operating methods using voice.

[0966] A "video" is a collection of continuous image data captured using a camera.

[0967] "Audio data" refers to sound waves recorded using a microphone and stored in digital format.

[0968] "Generative AI" refers to systems or programs that use artificial intelligence to process and analyze data, achieving automatic generation.

[0969] "Analysis" is the process of processing data to extract meaningful information.

[0970] "Automatically generating procedures" means that the system automatically creates operating procedures based on collected data.

[0971] The "specified format" refers to the document format or output format selected by the user, such as PowerPoint, Word, PDF, etc.

[0972] "Output" refers to the act of providing analyzed or generated information to a user as a document or data.

[0973] "Transferring in real time" means that data is sent to a destination such as a server without delay from the moment it is generated.

[0974] A "screenshot" is a saved image of the contents of a computer screen or device.

[0975] This invention is a system for improving work efficiency, in which a user records a video while verbally explaining an operation procedure, and provides the video and audio data to a generation AI, which analyzes the video and audio data and automatically generates the procedure. This system is implemented with the following configuration and operation.

[0976] System Configuration

[0977] 1. User Device

[0978] The user terminal is a device such as a smartphone or PC, equipped with a camera and microphone for recording operation procedures. An application that includes an interface for starting and stopping recording is also installed. Specific hardware examples include a smartphone camera or a PC webcam. The dedicated application provides a UI that makes it easy to record operation procedures.

[0979] 2. Network

[0980] A communication network is required to send and receive data between user terminals and the server. It is desirable for this network to provide high-speed and stable communication. Specifically, Wi-Fi or wired LAN is used.

[0981] 3. Server

[0982] The server is a computer system equipped with generative AI, and has the ability to receive video and audio data, analyze it, and automatically generate manuals. Specifically, a deep learning model incorporating an audio analysis engine is used as the generative AI model. The server has video analysis software and an audio analysis engine installed.

[0983] Implementation details

[0984] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while recording the actual operation with a camera. During this time, the user's device records video and audio data in real time and transfers it to the server at fixed buffer size intervals.

[0985] The server analyzes the received video and audio data and inputs it into the generation AI. The generation AI synchronizes each frame of the video with the audio data and uses a voice analysis engine to convert the audio into text. This extracts the steps the user has verbally explained as text information. At the same time, the content of the video is also analyzed and organized into specific operating steps.

[0986] The server then automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information. The generated manual appropriately inserts screenshots and related images extracted from the video. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[0987] Specific examples

[0988] Let's take the example of a user creating a manual on how to configure the backend of a website. First, the user launches a dedicated application and verbally explains how to configure the website. For example, the user might say, "First, log in to the admin screen. Next, open the settings tab..." The smartphone records this process and sends the video and audio data to the server in real time.

[0989] The server analyzes the received data and extracts the steps, such as "log in to the administration screen" and "open the settings tab." Based on this, each step is organized into a page in PowerPoint format, and screenshots corresponding to each step are inserted. The completed PowerPoint file is then sent to the user's device via the network. In this way, users can generate high-quality manuals in a short amount of time.

[0990] Prompt Sentence Examples

[0991] Analyze the instructional video and audio data and generate an operating manual by following the steps below:

[0992] 1. Synchronize each frame of video with the audio data and use a speech analysis engine to convert the audio into text.

[0993] 2. Based on the extracted procedure information, a manual is generated in the specified format (PowerPoint, Word, PDF).

[0994] 3. Extract necessary screenshots from the video and insert them into the manual.

[0995] 4. Save the completed manual and provide a download link to the user's device.

[0996] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0997] Step 1:

[0998] The user launches the dedicated application and presses the "Start recording procedure explanation video" button.

[0999] Input: The user presses the start recording button in the application.

[1000] Output: Signal to start recording

[1001] Specific actions: Tap the "Start Recording" button on the smartphone application screen.

[1002] Step 2:

[1003] The user terminal uses a camera and microphone to record video and audio of the operation procedures.

[1004] Input: User instructions and their verbal instructions

[1005] Output: Video and audio files

[1006] Specific operation: The smartphone displays the user's operating procedures, and the microphone records the user's explanations.

[1007] Step 3:

[1008] The user terminal transmits the recorded video and audio data to the server in fixed buffer size increments.

[1009] Input: Video and audio files

[1010] Output: Data transfer signal to the server

[1011] Specific operation: When the smartphone is recording, it automatically sends the data to the server when it reaches a certain capacity (for example, 10MB).

[1012] Step 4:

[1013] The server inputs the received video and audio data into the generation AI.

[1014] Input: Video and audio files from the user's device

[1015] Output: Data input signal to the generation AI

[1016] Specific operation: Data uploaded to the server is automatically passed to the analysis process of the generated AI model.

[1017] Step 5:

[1018] The generative AI synchronizes each frame of video with audio data and uses a speech analysis engine to convert the audio into text.

[1019] Input: Video and audio data

[1020] Output: Speech-to-text data

[1021] How it works: The generative AI model matches the video timeline with the audio and extracts phrases such as "First, log in to the admin panel" as text data.

[1022] Step 6:

[1023] The server analyzes the video and compiles specific operating procedures.

[1024] Input: Video frame data and audio text data

[1025] Output: Organized operation steps

[1026] Specific operation: The server identifies the text "Click the Settings tab" from the video frame and extracts the corresponding screenshot.

[1027] Step 7:

[1028] The server automatically generates a manual in the format specified by the user.

[1029] Input: Organized instructions and screenshots

[1030] Output: Manual file in specified format

[1031] What it does: If the server selects PowerPoint, it will automatically create slides for each step and place screenshots on them.

[1032] Step 8:

[1033] The server saves the generated manual in a specified format and provides it to the user.

[1034] Input: Manual file

[1035] Output: Download link to user's device or email

[1036] Specific behavior: The server saves the created PDF file on the server, sends the download link to the user via email, and allows the user to access the link from within the app.

[1037] (Application example 1)

[1038] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1039] Creating traditional work procedures and manuals takes a great deal of time and effort, resulting in reduced work efficiency. It's also difficult to accurately describe detailed procedures based on video and verbal explanations, leading to inconsistent manual quality. Furthermore, because real-time data transfer and analysis aren't performed, information isn't shared quickly, reducing on-site work efficiency.

[1040] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1041] In this invention, the server includes a means for recording a video while a user orally explains an operation procedure, a means for providing the recorded video and audio data to a generation AI, a means for the generation AI to analyze the video and audio data and automatically generate an operation procedure, a means for outputting the generated operation procedure in a specified format, a means including a generation AI that converts audio data into text and analyzes the operation procedure based on the text data, a means for extracting screenshots for each operation procedure using a video analysis engine, and a means for automatically generating an operation manual using a document generation library based on the analyzed operation procedure information. This enables reliable recording and automatic generation of operations procedures, improving work efficiency and standardizing the quality of manuals.

[1042] A "user terminal" is a device that allows a user to record video while verbally explaining operating procedures, such as a smartphone or tablet equipped with a camera and microphone.

[1043] "Generative AI" refers to artificial intelligence that analyzes video and audio data and automatically generates procedures.

[1044] The "server" is a computer system equipped with a generation AI that receives and analyzes video and audio data and generates procedure manuals.

[1045] A "video analysis engine" is software that analyzes each frame of a video and extracts screenshots for each specific operation procedure.

[1046] A "voice analysis engine" is software that converts voice data into text and uses voice recognition technology.

[1047] The "document generation library" is a software library for automatically generating procedure manuals based on analyzed procedure information.

[1048] A "procedure manual" refers to an operating procedure manual that is automatically generated from video and audio data using generative AI.

[1049] A "screenshot" is an image that captures a specific frame of a video.

[1050] The present invention is a system that automatically generates an operation manual using video and audio recordings of robot operation procedures and maintenance procedures performed by factory workers. A specific embodiment of this system will be described below.

[1051] System Configuration

[1052] This system uses the following hardware and software:

[1053] 1. User device: A smartphone or tablet equipped with a camera and microphone is used. This allows the user to record video while verbally explaining the operating procedures. A dedicated application such as the "FactoryBot Manual Creator App" is also installed on these devices.

[1054] 2. Network: Provide fast and stable communication (e.g., 5G or Wi-Fi 6).

[1055] 3. Server: Powered by generative AI (e.g. TensorFlow implementation on AWS EC2 instances) and includes the following key analytics engines:

[1056] Speech analysis engine: Converts speech to text (e.g., Google Cloud Speech-to-Text API).

[1057] Video analysis engine: Extract screenshots for each operation step (e.g., OpenCV).

[1058] Documentation generation libraries: Automatically generate procedural manuals based on text and screenshots (e.g., ReportLab).

[1059] Operating procedure

[1060] User device operation

[1061] The user first launches the dedicated application on their device and presses the "Start Recording" button to begin recording. The user verbally explains the robot's operation procedures while recording the actual operation with the camera. During recording, the application buffers video and audio data in real time and sends the data to the server.

[1062] Processing on the server

[1063] The server analyzes the received video and audio data. It uses a voice analysis engine to convert the audio data into text, and analyzes the procedures based on this text data. At the same time, it uses a video analysis engine to extract screenshots for each frame, which allows it to compile specific operating procedures.

[1064] Manual Generation

[1065] Using the document generation library "ReportLab," a procedure manual is automatically generated based on the analyzed procedure information. This manual is output in a specified format (e.g., PDF format), and a download link is provided to the user's device via the Internet, or it is sent directly to the user's email address.

[1066] Examples of concrete examples and prompts

[1067] Here is an example prompt:

[1068] Video description: "To loosen this bolt, first take a wrench. Then turn it clockwise..."

[1069] Prompt: "Write a manual on maintenance procedures for factory robots. Include clear explanations and illustrations of the steps in this video."

[1070] The video recorded by the user explaining the steps is then analyzed on the server and converted into a detailed instruction manual. For example, instructions such as "pick up a wrench" and "turn it clockwise" are converted into text, and screenshots of the corresponding operation scenes are inserted into the manual. In this way, high-quality, detailed manuals are generated quickly.

[1071] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1072] Step 1:

[1073] The user operates the device to start recording

[1074] The user simply launches the FactoryBot Manual Creator App on their smartphone or tablet and presses the start recording button, which activates the device's camera and microphone and begins recording the user's operating procedures and verbal instructions as video and audio.

[1075] input:

[1076] User procedure videos

[1077] User's verbal explanation

[1078] output:

[1079] Video data

[1080] Audio data

[1081] Step 2:

[1082] The device transmits video and audio data to the server in real time.

[1083] The video and audio data being recorded is stored in a buffer and then sent to the server in real time at regular intervals, making network speed and stability important.

[1084] input:

[1085] Video being recorded

[1086] Audio during recording

[1087] output:

[1088] Video data sent to the server

[1089] Audio data sent to the server

[1090] Step 3:

[1091] The server analyzes the received video and audio data.

[1092] The server analyzes the received data, converting the audio data into text using the Google Cloud Speech-to-Text API, and analyzing each frame of the video using OpenCV to extract screenshots for each specific operation step.

[1093] input:

[1094] Video data sent to the server

[1095] Audio data sent to the server

[1096] output:

[1097] Text-converted audio data

[1098] screenshot image

[1099] Step 4:

[1100] Generative AI analyzes procedures based on audio and video

[1101] The AI ​​synchronises the text information in the audio data with the screenshots from the video, organising and analyzing each operation step, which allows it to link each operation step to the appropriate screenshot.

[1102] input:

[1103] Text-converted audio data

[1104] screenshot image

[1105] output:

[1106] Organized procedural information

[1107] Step 5:

[1108] Generate procedure manuals using a document generation library

[1109] Based on the parsed procedure information, the server uses Python's ReportLab to automatically generate a procedure manual (e.g., PDF) that details each step with text and screenshots.

[1110] input:

[1111] Organized procedural information

[1112] output:

[1113] Generated procedure manual (PDF, etc.)

[1114] Step 6:

[1115] Provide users with a completed procedure manual

[1116] The server stores the generated procedure manual and provides the user with a download link, or sends the manual directly to the user's email address.

[1117] input:

[1118] Generated procedure manual (PDF, etc.)

[1119] output:

[1120] Download link for users

[1121] Sending email to users

[1122] Through these steps, high-quality manuals that clearly explain factory work procedures are automatically generated and efficiently provided.

[1123] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1124] The present invention is a system in which a user records a video while verbally explaining an operation procedure, and provides the video and audio data, as well as the user's emotional data, to a generation AI, which then analyzes the data and automatically generates a procedure. Furthermore, the system outputs the generated procedure in a specified format.

[1125] System Configuration

[1126] 1. User Device:

[1127] The device must be a smartphone or PC equipped with a camera and microphone for recording operation procedures, and must have an application installed that includes an interface for starting and stopping recording.

[1128] 2. Network:

[1129] A communication network is required to transmit and receive data between the user terminal and the server, and it is desirable that this network provide high-speed and stable communication.

[1130] 3. Server:

[1131] This computer system is equipped with generative AI and an emotion engine, and has the ability to receive video and audio data, analyze it, and automatically generate manuals.

[1132] Implementation details

[1133] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while the camera records the actual operation. During this time, the user's device records video and audio data in real time and also analyzes the user's emotions using an emotion engine. Data is transferred to the server at fixed buffer size intervals.

[1134] The server analyzes the received video, audio, and emotional data and inputs it into the generation AI. The generation AI synchronizes each frame of the video with the audio data and uses a voice analysis engine to convert the audio into text. This extracts the steps the user verbally explained as text information. At the same time, the emotional data is also analyzed, and information such as which steps the user felt stressed at is obtained.

[1135] The server automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information and emotional information. Screenshots and related images extracted from the video are inserted appropriately into the generated manual. Emotional data can also be used to highlight areas that require special attention or that are likely to cause stress to the user. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[1136] Specific examples

[1137] For example, let's consider the case where a webmaster is creating a manual on how to configure the backend of a website. The webmaster launches a dedicated application and performs website configuration operations, verbally explaining, "First, log in to the administration screen. Next, open the settings tab..." The smartphone records this and sends the video and audio data to the server in real time. At this time, the emotion engine also analyzes the webmaster's emotions and identifies areas where he or she feels stress or difficulty.

[1138] The server analyzes the received data and extracts steps such as "log in to the admin panel" and "open the settings tab." Based on this, each step is organized into a page in PowerPoint format, and screenshots corresponding to each step are inserted. Furthermore, based on the emotional data, comments and guidelines calling for special attention are added to steps that cause stress. The completed PowerPoint file is then sent to the web administrator's device via the network.

[1139] In this way, not only can users generate high-quality manuals in a short amount of time, but by utilizing emotional data, it is possible to create more user-friendly manuals that take into account the user's stress points.

[1140] The processing flow will be explained below.

[1141] Step 1:

[1142] The user presses the "Start recording procedure explanation video" button on their smartphone or PC to begin recording. The user verbally explains the operation procedures while recording the actual operations with a camera.

[1143] Step 2:

[1144] The device activates the recording module and starts recording video and audio data. At the same time, the emotion engine also activates, analyzing the user's emotions in real time from their facial expressions and voice.

[1145] Step 3:

[1146] The device transmits video, audio, and emotion data to a server in real time, and the data is transferred via a communication network.

[1147] Step 4:

[1148] The server stores the received video, audio, and emotion data and checks the synchronization of the video and audio. This step also checks the integrity of the data.

[1149] Step 5:

[1150] The server divides the video data into frames and records the timestamp of each frame, which makes it possible to identify specific operational steps within the video.

[1151] Step 6:

[1152] The server then processes the speech data through a speech recognition engine and converts it into text data. The user's verbal description, including the emotion recognition results, is extracted as text information.

[1153] Step 7:

[1154] The server analyzes the text data and emotion data and maps each step to the corresponding frame and timestamp, allowing each operation step and its associated emotion information to be clearly identified.

[1155] Step 8:

[1156] The server creates the basic structure of a document based on the procedure data and emotion data, using a template in a format (PowerPoint, Word, PDF, etc.) specified by the user.

[1157] Step 9:

[1158] The server extracts screenshots and related images from video frames for each step and embeds them into templates. Based on emotion data, parts that require special attention are highlighted.

[1159] Step 10:

[1160] The server optimizes the generated document, adjusts the layout to fit the format, and adds annotations and supplementary explanations to parts where the user has difficulty based on the emotional data.

[1161] Step 11:

[1162] The server saves the final document in the specified format and provides a download link to the user's device, which may also be sent to the user's email address.

[1163] Step 12:

[1164] Users can click the link sent to download the generated manual and use it in their work. This not only significantly reduces the time and effort required to explain procedures, but also provides manuals that take stress points into consideration using emotional data.

[1165] Example 2

[1166] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1167] Conventional operating procedure explanation systems require users to manually record operating procedures and create manuals, which is labor-intensive and makes it difficult to reflect the user's emotions and stress points. Therefore, an efficient and user-friendly method for creating operating procedure explanation manuals is needed.

[1168] The specification process by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for recording a video while the user orally explains the operating procedure, a means for providing the recorded video, audio data, and emotional data to the generation AI, a means for the generation AI to analyze the video, audio data, and emotional data and automatically generate information that takes into account the procedure and the user's emotions, and a means for outputting the generated information that takes into account the procedure and the user's emotions in a specified format. This not only enables the user to efficiently create a high-quality manual in a short amount of time, but also makes it possible to generate an easy-to-use manual that reflects the user's emotions and stress points.

[1169] An "operational procedure" refers to a series of actions or procedures that a user performs to perform a particular task or function.

[1170] "Verbal explanation" refers to the act of the user explaining something verbally using their voice.

[1171] "Video" refers to continuous video data recorded using a device such as a camera.

[1172] "Audio data" refers to data that stores recorded sound information in digital format.

[1173] "Emotion data" refers to data that indicates the user's emotional state, analyzed from information such as facial expressions and tone of voice.

[1174] "Generative AI" refers to a system that uses artificial intelligence techniques to analyze input data and automatically generate specific results or outputs.

[1175] "Analysis" refers to the process of examining and evaluating collected data and extracting information based on it.

[1176] "Format" refers to a particular form or structure for displaying or storing documents or data.

[1177] "Real-time" refers to data being processed and transmitted immediately at the moment it is collected.

[1178] "Automatic procedure generation" refers to the process whereby a system generates operating procedures based on collected data without human intervention.

[1179] The present invention is a system in which a user records a video while verbally explaining an operation procedure, and provides the video, audio data, and emotional data to a generation AI, which then analyzes the video and audio data and automatically generates a procedure. The system aims to output the generated procedure in a specified format. A specific example is shown below.

[1180] System configuration and hardware / software used

[1181] 1. User Device:

[1182] A device such as a smartphone or PC equipped with a camera and microphone for recording operating procedures.

[1183] An application that includes an interface for starting and stopping recording is installed. Specifically, you can use a recording application for your mobile OS or desktop recording software.

[1184] 2. Network:

[1185] A communication network is required to send and receive data between user terminals and servers, and a high-speed, stable communication environment is required.

[1186] 3. Server:

[1187] It uses a computer system equipped with generative AI and an emotion engine.

[1188] It has the ability to receive video and audio data, analyze it, and automatically generate manuals, using cloud servers and dedicated data centers.

[1189] Specific examples

[1190] For example, let's consider the case where a webmaster is creating a manual on how to configure the backend of a website. The webmaster launches a dedicated application and performs website configuration operations, verbally explaining, "First, log in to the administration screen. Next, open the settings tab..." The smartphone records this and sends the video and audio data to the server in real time. At this time, the emotion engine also analyzes the webmaster's emotions and identifies areas where he or she feels stress or difficulty.

[1191] Prompt Sentence Examples

[1192] Below are some of the prompts to be input to the generative AI model.

[1193] Prompt: "Please explain the backend setup steps for your website."

[1194] Description:

[1195] 1. First, log in to your admin page.

[1196] 2. Open the Settings tab.

[1197] 3. ...

[1198] How it works

[1199] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while the camera records the actual operation. During this time, the user's device records video and audio data in real time and also analyzes the user's emotions using an emotion engine. Data is transferred to the server at fixed buffer size intervals.

[1200] The server analyzes the received video, audio, and emotional data. The generation AI synchronizes each frame of the video with the audio data and uses a speech analysis engine to convert the audio into text. This extracts the steps the user verbally explained as text information. At the same time, the emotional data is also analyzed to obtain information such as which steps the user felt stressed at.

[1201] The server automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information and emotional information. Screenshots and related images extracted from the video are inserted appropriately into the generated manual. Emotional data can also be used to highlight areas that require special attention or that are likely to cause stress to the user. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[1202] In this way, not only can users generate high-quality manuals in a short amount of time, but by utilizing emotional data, it is possible to create more user-friendly manuals that take into account the user's stress points.

[1203] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1204] Step 1:

[1205] The user launches an application.

[1206] Specific operation: Tap or click the icon of the dedicated application installed on your smartphone or PC to launch it.

[1207] Input: User action (launching the app).

[1208] Output: The application's welcome screen is displayed.

[1209] Step 2:

[1210] The user starts recording.

[1211] Specific action: Tap or click the "Start Recording" button within the application.

[1212] Input: User action (instruction to start recording).

[1213] Output: Recording begins and camera and microphone are activated.

[1214] Step 3:

[1215] Collect video and audio data while your device is recording.

[1216] How it works: While the camera captures video, the microphone records audio. Dedicated emotion analysis software analyzes facial expressions and tone of voice to generate emotional data.

[1217] Input: User action (start of instruction).

[1218] Output: Video data, audio data, and emotion data are generated.

[1219] Step 4:

[1220] The device transfers the recorded data to the server in real time.

[1221] Specific operation: Recorded data (video, audio, emotion data) is uploaded to the server via the network at fixed buffer size intervals.

[1222] Input: Video data, audio data, emotion data.

[1223] Output: Data is sent to the server.

[1224] Step 5:

[1225] The server analyzes the received data.

[1226] How it works: Using a generative AI and a voice analysis engine, it synchronizes the received video and audio data, converts the audio into text, and analyzes emotional data to identify which steps the user feels stressed at.

[1227] Input: Video data, audio data, emotion data.

[1228] Output: Extracted text data and parsed sentiment data.

[1229] Step 6:

[1230] The server automatically generates procedures and creates a manual in the specified format.

[1231] How it works: Based on the extracted text data, the AI ​​automatically generates operating procedures and creates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.). Screenshots and related images are inserted appropriately, and warnings and guidelines are added based on emotion data.

[1232] Input: Extracted text data, parsed sentiment data, specified format.

[1233] Output: A formatted manual.

[1234] Step 7:

[1235] The server transmits the completed manual to the user terminal.

[1236] Specific operation: Save the completed manual in the specified format and provide a download link to the user's device or send it directly to the user's email address.

[1237] Input: Formatted manual.

[1238] Output: A download link or email is provided to the user.

[1239] By dividing the processing into steps in this way, the flow of the entire system becomes clear, and the specific data processing and data calculations performed at each step, as well as the resulting output, are clearly indicated.

[1240] (Application example 2)

[1241] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1242] Conventional methods for collecting and sharing work procedures within factories require a great deal of time and effort for manual creation and training, making them inefficient. Furthermore, there was no way to identify the stress points workers felt during their work, which often resulted in inefficient work. With conventional technology, it was difficult to automatically generate procedure manuals based on emotion data, and output in a variety of formats was limited, so improved usability was needed.

[1243] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1244] In this invention, the server includes a means for recording a video of a user verbally explaining an operation procedure, a means for collecting the recorded video and audio data as well as emotional data, a means for a generation AI to analyze the video, audio data, and emotional data to automatically generate an operation procedure, and a means for outputting the generated operation procedure in a specified format and including additional information based on the emotional data. This enables the automatic generation of high-quality operation manuals that reflect the user's experience and stress points in real time.

[1245] An "operational procedure" is the sequence and method of actions and steps required for a user to perform a specific task.

[1246] "Movie" is a visual medium that expresses movement by sequentially displaying a series of still images.

[1247] "Audio data" refers to data for recording and processing sound waves as digital information.

[1248] "Generative AI" is an artificial intelligence system that analyzes specific patterns based on given data and automatically generates new information and procedures.

[1249] "Emotion data" is data obtained as a result of analyzing the user's emotional state, and includes emotional indicators such as stress, satisfaction, and confusion.

[1250] A "format" is a standard or template for organizing and arranging data or information in a particular form or style.

[1251] "Real-time" refers to data acquisition and processing occurring in real time without any time delay.

[1252] "Analysis" is the process of breaking down data and understanding and evaluating its structure and meaning.

[1253] A "procedure manual" is a document that describes specific steps for performing a specific task or operation.

[1254] "Additional information" refers to supplementary explanations or cautions provided in addition to the basic information.

[1255] A "server" is a computer system that responds to requests from clients on a network and processes and stores data.

[1256] "Recording" is the act of recording audio and video on equipment.

[1257] "Collection" is the act of gathering necessary data and information.

[1258] "Output" is the act of displaying, printing, or writing out data or information in digital form.

[1259] The present invention provides a system for recording operation procedures using smart glasses and analyzing the recorded data. Specific embodiments of the invention are described below.

[1260] System Configuration

[1261] 1. User Device:

[1262] Use smart glasses (commonly known as wearable cameras and audio recording devices). Smart glasses are equipped with a camera and microphone, allowing for real-time video and audio recording.

[1263] 2. Network:

[1264] A communications network is used to send and receive data between the smart glasses and the server, including a high-speed, stable internet connection.

[1265] 3. Server:

[1266] A computer system equipped with generative AI and an emotion engine that receives and analyzes video, audio, and emotion data to automatically generate instruction manuals.

[1267] Implementation details

[1268] 1. Video and Audio Recording

[1269] The user puts on the smart glasses and taps the "Start recording procedure explanation" button to start recording. As the user performs the actual task while listening to the verbal instructions, the smart glasses' camera and microphone record video and audio in real time. The user does not need to perform any special operations during this process.

[1270] 2. Data transmission

[1271] The recorded data is sent to a server in real time at fixed buffer sizes, including video data, audio data, and emotion data, which is analyzed in real time using IBM Watson Tone Analyzer.

[1272] 3. Data Analysis and Generation Procedures

[1273] The server converts the received data from audio to text using the Google Speech-to-Text API. It then uses OpenCV to analyze the video data frame by frame and extracts appropriate screenshots. The generative AI (OpenAI GPT-4) analyzes the text and emotional data to automatically generate steps. This extracts the steps verbally explained by the user as text information, and further identifies areas requiring special attention or areas that are likely to cause stress to the user based on the emotional data.

[1274] Generate procedure manuals

[1275] The server generates a procedure manual in a specified format (e.g., PDF) based on the analyzed procedure information. This procedure manual includes screenshots and related images for each operation step. Special notes and guidelines are added to stress points identified from the emotional data.

[1276] Distribution of procedure manuals

[1277] The generated procedure manual is sent to the user's device via the network. Specifically, it is sent to the user's email address via AWS's Simple Email Service (SES).

[1278] Specific examples

[1279] For example, when a factory worker records the procedure for replacing a machine part, they can input the following prompt sentences into the generative AI model, which will efficiently collect and analyze the work procedures:

[1280] Prompt Sentence Examples

[1281] Analyze the video and audio of the instruction video and generate instructions in the following format:

[1282] 1. Explanation of the procedure

[1283] 2. Important points to note

[1284] 3. Advice based on emotional data

[1285] example:

[1286] 1. Open your toolbox

[1287] Carefully check how to remove the tools you use

[1288] Place frequently used items at the front while working

[1289] High stress points: Tool placement is difficult to understand, so check in advance

[1290] By using this invention, it is possible to quickly create high-quality procedure manuals, improve work efficiency, and reduce worker stress.

[1291] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1292] Step 1:

[1293] Recording begins with smart glasses

[1294] When the user puts on the smart glasses and taps the "Start recording procedure instructions" button, the camera and microphone are activated, and video and audio of the operating procedures are recorded in real time.

[1295] Input: User operations and video and audio of operating procedures.

[1296] Output: Video and audio data being recorded.

[1297] How it works: The smart glasses' camera captures video, the microphone records audio, and the recording button starts recording data.

[1298] Step 2:

[1299] Emotional Data Analysis

[1300] During recording, an emotion analysis engine installed in the smart glasses analyzes the user's emotional data in real time.

[1301] Input: Video data and audio data being recorded.

[1302] Output: Real-time emotion data.

[1303] Specific operation: Analyzes facial expressions from video data and tone of voice from audio data. Based on this data, the emotional state is determined in real time and data is generated sequentially.

[1304] Step 3:

[1305] Sending data

[1306] The recorded video, audio, and emotion data are transferred to the server in real time at fixed buffer size intervals.

[1307] Input: Video data, audio data, and emotion data being recorded.

[1308] Output: The data sent to the server.

[1309] Specific operation: Data that has reached a certain buffer size on the device is sent to the server in bulk. Data is sent asynchronously to ensure stable communication.

[1310] Step 4:

[1311] Converting audio data to text

[1312] The server converts the received voice data into text data using the Google Speech-to-Text API.

[1313] Input: The audio data sent to the server.

[1314] Output: The audio converted to text.

[1315] Specific operation: Using the Google Speech-to-Text API, phonemic and contextual analysis of the audio data is performed and it is converted into text format.

[1316] Step 5:

[1317] Frame analysis of video data

[1318] The server uses OpenCV to analyze the video data frame by frame and extract screenshots of important scenes.

[1319] Input: Video data sent to the server.

[1320] Output: Analyzed video frames and extracted screenshots.

[1321] Specific behavior: It analyzes each frame to identify significant motion and important scenes that synchronize with the user's speech. It saves these scenes as screenshots.

[1322] Step 6:

[1323] Generate procedure information

[1324] The server uses generative AI (OpenAI GPT-4) to analyze text data and emotional data and automatically generate operating procedures.

[1325] Input: Text data, emotion data and screenshots.

[1326] Output: Auto-generated operating instructions.

[1327] Specific operation: Text data and emotional data are input into the generation AI as prompt sentences, and appropriate procedural information is generated.

[1328] Step 7:

[1329] Formatting procedure manuals

[1330] The server generates a procedure manual in a specified format (PDF) based on the generated procedure information, and includes additional information based on the emotion data.

[1331] Input: Auto-generated operating instructions, screenshots, and emotion data.

[1332] Output: Formatted instructions.

[1333] Specific behavior: Use LaTeX or other formatting tools to properly layout and output instructions, screenshots, and emotion data.

[1334] Step 8:

[1335] Distribution of procedure manuals

[1336] The generated instructions are sent to the user's email address using AWS SES.

[1337] Input: Formatted instructions and user's email address.

[1338] Output: Instructions sent to the user's inbox.

[1339] Specific operation: Calls AWS SES and sends the automatically generated instruction manual data as an attachment to the specified email address.

[1340] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1341] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1342] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1343] [Fourth embodiment]

[1344] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1345] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1346] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1347] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1348] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1349] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1350] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1351] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1352] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1353] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1354] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1355] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1356] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1357] The present invention is a system for improving work efficiency in which a user records a video while verbally explaining an operation procedure, and provides the video and audio data to a generation AI that analyzes the video and audio data and automatically generates the procedure. This system is implemented with the following configuration and operation.

[1358] System Configuration

[1359] 1. User Device:

[1360] The device must be a smartphone or PC equipped with a camera and microphone for recording operation procedures, and must have an application installed that includes an interface for starting and stopping recording.

[1361] 2. Network:

[1362] A communication network is required to transmit and receive data between the user terminal and the server, and it is desirable that this network provide high-speed and stable communication.

[1363] 3. Server:

[1364] This computer system is equipped with generative AI and has the ability to receive video and audio data, analyze it, and automatically generate manuals.

[1365] Implementation details

[1366] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while recording the actual operation with a camera. During this time, the user's device records video and audio data in real time and transfers it to the server at fixed buffer size intervals.

[1367] The server analyzes the received video and audio data and inputs it into the generation AI. The generation AI synchronizes each frame of the video with the audio data and uses a voice analysis engine to convert the audio into text. This extracts the steps the user has verbally explained as text information. At the same time, the content of the video is also analyzed and organized into specific operating steps.

[1368] The server then automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information. The generated manual appropriately inserts screenshots and related images extracted from the video. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[1369] Specific examples

[1370] Let's take the example of a webmaster creating a manual on how to configure the backend of a website. First, the webmaster launches a dedicated application and performs the website configuration operations, verbally explaining, "First, log in to the admin screen. Next, open the settings tab..." The smartphone records this and sends the video and audio data to the server in real time.

[1371] The server analyzes the received data and extracts the steps, such as "log in to the administration screen" and "open the settings tab." Based on this, each step is organized into a page in PowerPoint format, and screenshots corresponding to each step are inserted. The completed PowerPoint file is then sent over the network to the web administrator's device. In this way, users can generate high-quality manuals in a short amount of time.

[1372] The above is an embodiment of the present invention. By using this system, it is expected that the number of steps required to create manuals will be significantly reduced, work efficiency will be improved, and the quality of work will be more uniformly scrutinized.

[1373] The processing flow will be explained below.

[1374] Step 1:

[1375] The user presses the "Start recording procedure video" button on their smartphone or PC to start recording, which activates the camera and microphone to record the operating procedures.

[1376] Step 2:

[1377] The device starts the recording module and starts recording video and audio data. The recorded data is divided into buffers of a certain size.

[1378] Step 3:

[1379] The device transmits the video and audio data being recorded to the server in real time, and the data is transferred via a communication network.

[1380] Step 4:

[1381] The server stores the received video and audio data and checks the video and audio synchronization. This step also checks the data integrity.

[1382] Step 5:

[1383] The server divides the video data into frames and records the timestamp of each frame, which makes it possible to identify specific operational steps within the video.

[1384] Step 6:

[1385] The server then runs the voice data through a speech recognition engine to convert the speech into text data, and performs pre-processing to improve the accuracy of the voice recognition.

[1386] Step 7:

[1387] The server parses the text data and maps each step to its corresponding frame and timestamp, thus unambiguously identifying each operational step.

[1388] Step 8:

[1389] The server creates the basic structure of the document based on the procedure data, using a template in the format (PowerPoint, Word, PDF, etc.) specified by the user.

[1390] Step 9:

[1391] The server extracts screenshots and related images corresponding to each step from the video frames and embeds them in templates, thereby generating a manual that aids visual understanding.

[1392] Step 10:

[1393] The server optimizes the generated document and adjusts the layout to fit the format, resulting in a professional looking document.

[1394] Step 11:

[1395] The server saves the final document in the specified format and provides a download link to the user's device, which may also be sent to the user's email address.

[1396] Step 12:

[1397] Users can click the link provided to download the generated manual and use it in their work, significantly reducing the time and effort required to explain procedures.

[1398] Example 1

[1399] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1400] The conventional method of creating procedure manuals required manual editing and organization, which was extremely time-consuming and labor-intensive. Furthermore, when operational procedures were complex, misunderstandings were likely to occur, and steps were often omitted or incorrectly performed. This resulted in issues such as reduced work efficiency and inconsistent quality. Furthermore, there was a lack of a system for transferring data to a server in real time, making it impossible to perform immediate analysis.

[1401] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1402] In this invention, the server includes a device for recording a video of a user verbally explaining an operation procedure, a device for providing the recorded video and audio data to a generation AI, a device for the generation AI to analyze the video and audio data and automatically generate procedures, a device for outputting the generated procedures in a specified format, and a device for transferring the video and audio data to the server in real time. This allows users to automatically generate procedure manuals easily and quickly, significantly improving work efficiency and enabling the generation of uniform, high-quality procedure manuals.

[1403] An "operation procedure" is a series of operations or a flow of operations that a user performs to achieve a specific purpose.

[1404] "Verbal explanation" refers to the act of the user explaining procedures and operating methods using voice.

[1405] A "video" is a collection of continuous image data captured using a camera.

[1406] "Audio data" refers to sound waves recorded using a microphone and stored in digital format.

[1407] "Generative AI" refers to systems or programs that use artificial intelligence to process and analyze data, achieving automatic generation.

[1408] "Analysis" is the process of processing data to extract meaningful information.

[1409] "Automatically generating procedures" means that the system automatically creates operating procedures based on collected data.

[1410] The "specified format" refers to the document format or output format selected by the user, such as PowerPoint, Word, PDF, etc.

[1411] "Output" refers to the act of providing analyzed or generated information to a user as a document or data.

[1412] "Transferring in real time" means that data is sent to a destination such as a server without delay from the moment it is generated.

[1413] A "screenshot" is a saved image of the contents of a computer screen or device.

[1414] This invention is a system for improving work efficiency, in which a user records a video while verbally explaining an operation procedure, and provides the video and audio data to a generation AI, which analyzes the video and audio data and automatically generates the procedure. This system is implemented with the following configuration and operation.

[1415] System Configuration

[1416] 1. User Device

[1417] The user terminal is a device such as a smartphone or PC, equipped with a camera and microphone for recording operation procedures. An application that includes an interface for starting and stopping recording is also installed. Specific hardware examples include a smartphone camera or a PC webcam. The dedicated application provides a UI that makes it easy to record operation procedures.

[1418] 2. Network

[1419] A communication network is required to send and receive data between user terminals and the server. It is desirable for this network to provide high-speed and stable communication. Specifically, Wi-Fi or wired LAN is used.

[1420] 3. Server

[1421] The server is a computer system equipped with generative AI, and has the ability to receive video and audio data, analyze it, and automatically generate manuals. Specifically, a deep learning model incorporating an audio analysis engine is used as the generative AI model. The server has video analysis software and an audio analysis engine installed.

[1422] Implementation details

[1423] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while recording the actual operation with a camera. During this time, the user's device records video and audio data in real time and transfers it to the server at fixed buffer size intervals.

[1424] The server analyzes the received video and audio data and inputs it into the generation AI. The generation AI synchronizes each frame of the video with the audio data and uses a voice analysis engine to convert the audio into text. This extracts the steps the user has verbally explained as text information. At the same time, the content of the video is also analyzed and organized into specific operating steps.

[1425] The server then automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information. The generated manual appropriately inserts screenshots and related images extracted from the video. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[1426] Specific examples

[1427] Let's take the example of a user creating a manual on how to configure the backend of a website. First, the user launches a dedicated application and verbally explains how to configure the website. For example, the user might say, "First, log in to the admin screen. Next, open the settings tab..." The smartphone records this process and sends the video and audio data to the server in real time.

[1428] The server analyzes the received data and extracts the steps, such as "log in to the administration screen" and "open the settings tab." Based on this, each step is organized into a page in PowerPoint format, and screenshots corresponding to each step are inserted. The completed PowerPoint file is then sent to the user's device via the network. In this way, users can generate high-quality manuals in a short amount of time.

[1429] Prompt Sentence Examples

[1430] Analyze the instructional video and audio data and generate an operating manual by following the steps below:

[1431] 1. Synchronize each frame of video with the audio data and use a speech analysis engine to convert the audio into text.

[1432] 2. Based on the extracted procedure information, a manual is generated in the specified format (PowerPoint, Word, PDF).

[1433] 3. Extract necessary screenshots from the video and insert them into the manual.

[1434] 4. Save the completed manual and provide a download link to the user's device.

[1435] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1436] Step 1:

[1437] The user launches the dedicated application and presses the "Start recording procedure explanation video" button.

[1438] Input: The user presses the start recording button in the application.

[1439] Output: Signal to start recording

[1440] Specific actions: Tap the "Start Recording" button on the smartphone application screen.

[1441] Step 2:

[1442] The user terminal uses a camera and microphone to record video and audio of the operation procedures.

[1443] Input: User instructions and their verbal instructions

[1444] Output: Video and audio files

[1445] Specific operation: The smartphone displays the user's operating procedures, and the microphone records the user's explanations.

[1446] Step 3:

[1447] The user terminal transmits the recorded video and audio data to the server in fixed buffer size increments.

[1448] Input: Video and audio files

[1449] Output: Data transfer signal to the server

[1450] Specific operation: When the smartphone is recording, it automatically sends the data to the server when it reaches a certain capacity (for example, 10MB).

[1451] Step 4:

[1452] The server inputs the received video and audio data into the generation AI.

[1453] Input: Video and audio files from the user's device

[1454] Output: Data input signal to the generation AI

[1455] Specific operation: Data uploaded to the server is automatically passed to the analysis process of the generated AI model.

[1456] Step 5:

[1457] The generative AI synchronizes each frame of video with audio data and uses a speech analysis engine to convert the audio into text.

[1458] Input: Video and audio data

[1459] Output: Speech-to-text data

[1460] How it works: The generative AI model matches the video timeline with the audio and extracts phrases such as "First, log in to the admin panel" as text data.

[1461] Step 6:

[1462] The server analyzes the video and compiles specific operating procedures.

[1463] Input: Video frame data and audio text data

[1464] Output: Organized operation steps

[1465] Specific operation: The server identifies the text "Click the Settings tab" from the video frame and extracts the corresponding screenshot.

[1466] Step 7:

[1467] The server automatically generates a manual in the format specified by the user.

[1468] Input: Organized instructions and screenshots

[1469] Output: Manual file in specified format

[1470] What it does: If the server selects PowerPoint, it will automatically create slides for each step and place screenshots on them.

[1471] Step 8:

[1472] The server saves the generated manual in a specified format and provides it to the user.

[1473] Input: Manual file

[1474] Output: Download link to user's device or email

[1475] Specific behavior: The server saves the created PDF file on the server, sends the download link to the user via email, and allows the user to access the link from within the app.

[1476] (Application example 1)

[1477] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1478] Creating traditional work procedures and manuals takes a great deal of time and effort, resulting in reduced work efficiency. It's also difficult to accurately describe detailed procedures based on video and verbal explanations, leading to inconsistent manual quality. Furthermore, because real-time data transfer and analysis aren't performed, information isn't shared quickly, reducing on-site work efficiency.

[1479] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1480] In this invention, the server includes a means for recording a video while a user orally explains an operation procedure, a means for providing the recorded video and audio data to a generation AI, a means for the generation AI to analyze the video and audio data and automatically generate an operation procedure, a means for outputting the generated operation procedure in a specified format, a means including a generation AI that converts audio data into text and analyzes the operation procedure based on the text data, a means for extracting screenshots for each operation procedure using a video analysis engine, and a means for automatically generating an operation manual using a document generation library based on the analyzed operation procedure information. This enables reliable recording and automatic generation of operations procedures, improving work efficiency and standardizing the quality of manuals.

[1481] A "user terminal" is a device that allows a user to record video while verbally explaining operating procedures, such as a smartphone or tablet equipped with a camera and microphone.

[1482] "Generative AI" refers to artificial intelligence that analyzes video and audio data and automatically generates procedures.

[1483] The "server" is a computer system equipped with a generation AI that receives and analyzes video and audio data and generates procedure manuals.

[1484] A "video analysis engine" is software that analyzes each frame of a video and extracts screenshots for each specific operation procedure.

[1485] A "voice analysis engine" is software that converts voice data into text and uses voice recognition technology.

[1486] The "document generation library" is a software library for automatically generating procedure manuals based on analyzed procedure information.

[1487] A "procedure manual" refers to an operating procedure manual that is automatically generated from video and audio data using generative AI.

[1488] A "screenshot" is an image that captures a specific frame of a video.

[1489] The present invention is a system that automatically generates an operation manual using video and audio recordings of robot operation procedures and maintenance procedures performed by factory workers. A specific embodiment of this system will be described below.

[1490] System Configuration

[1491] This system uses the following hardware and software:

[1492] 1. User device: A smartphone or tablet equipped with a camera and microphone is used. This allows the user to record video while verbally explaining the operating procedures. A dedicated application such as the "FactoryBot Manual Creator App" is also installed on these devices.

[1493] 2. Network: Provide fast and stable communication (e.g., 5G or Wi-Fi 6).

[1494] 3. Server: Powered by generative AI (e.g. TensorFlow implementation on AWS EC2 instances) and includes the following key analytics engines:

[1495] Speech analysis engine: Converts speech to text (e.g., Google Cloud Speech-to-Text API).

[1496] Video analysis engine: Extract screenshots for each operation step (e.g., OpenCV).

[1497] Documentation generation libraries: Automatically generate procedural manuals based on text and screenshots (e.g., ReportLab).

[1498] Operating procedure

[1499] User device operation

[1500] The user first launches the dedicated application on their device and presses the "Start Recording" button to begin recording. The user verbally explains the robot's operation procedures while recording the actual operation with the camera. During recording, the application buffers video and audio data in real time and sends the data to the server.

[1501] Processing on the server

[1502] The server analyzes the received video and audio data. It uses a voice analysis engine to convert the audio data into text, and analyzes the procedures based on this text data. At the same time, it uses a video analysis engine to extract screenshots for each frame, which allows it to compile specific operating procedures.

[1503] Manual Generation

[1504] Using the document generation library "ReportLab," a procedure manual is automatically generated based on the analyzed procedure information. This manual is output in a specified format (e.g., PDF format), and a download link is provided to the user's device via the Internet, or it is sent directly to the user's email address.

[1505] Examples of concrete examples and prompts

[1506] Here is an example prompt:

[1507] Video description: "To loosen this bolt, first take a wrench. Then turn it clockwise..."

[1508] Prompt: "Write a manual on maintenance procedures for factory robots. Include clear explanations and illustrations of the steps in this video."

[1509] The video recorded by the user explaining the steps is then analyzed on the server and converted into a detailed instruction manual. For example, instructions such as "pick up a wrench" and "turn it clockwise" are converted into text, and screenshots of the corresponding operation scenes are inserted into the manual. In this way, high-quality, detailed manuals are generated quickly.

[1510] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1511] Step 1:

[1512] The user operates the device to start recording

[1513] The user simply launches the FactoryBot Manual Creator App on their smartphone or tablet and presses the start recording button, which activates the device's camera and microphone and begins recording the user's operating procedures and verbal instructions as video and audio.

[1514] input:

[1515] User procedure videos

[1516] User's verbal explanation

[1517] output:

[1518] Video data

[1519] Audio data

[1520] Step 2:

[1521] The device transmits video and audio data to the server in real time.

[1522] The video and audio data being recorded is stored in a buffer and then sent to the server in real time at regular intervals, making network speed and stability important.

[1523] input:

[1524] Video being recorded

[1525] Audio during recording

[1526] output:

[1527] Video data sent to the server

[1528] Audio data sent to the server

[1529] Step 3:

[1530] The server analyzes the received video and audio data.

[1531] The server analyzes the received data, converting the audio data into text using the Google Cloud Speech-to-Text API, and analyzing each frame of the video using OpenCV to extract screenshots for each specific operation step.

[1532] input:

[1533] Video data sent to the server

[1534] Audio data sent to the server

[1535] output:

[1536] Text-converted audio data

[1537] screenshot image

[1538] Step 4:

[1539] Generative AI analyzes procedures based on audio and video

[1540] The AI ​​synchronises the text information in the audio data with the screenshots from the video, organising and analyzing each operation step, which allows it to link each operation step to the appropriate screenshot.

[1541] input:

[1542] Text-converted audio data

[1543] screenshot image

[1544] output:

[1545] Organized procedural information

[1546] Step 5:

[1547] Generate procedure manuals using a document generation library

[1548] Based on the parsed procedure information, the server uses Python's ReportLab to automatically generate a procedure manual (e.g., PDF) that details each step with text and screenshots.

[1549] input:

[1550] Organized procedural information

[1551] output:

[1552] Generated procedure manual (PDF, etc.)

[1553] Step 6:

[1554] Provide users with a completed procedure manual

[1555] The server stores the generated procedure manual and provides the user with a download link, or sends the manual directly to the user's email address.

[1556] input:

[1557] Generated procedure manual (PDF, etc.)

[1558] output:

[1559] Download link for users

[1560] Sending email to users

[1561] Through these steps, high-quality manuals that clearly explain factory work procedures are automatically generated and efficiently provided.

[1562] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1563] The present invention is a system in which a user records a video while verbally explaining an operation procedure, and provides the video and audio data, as well as the user's emotional data, to a generation AI, which then analyzes the data and automatically generates a procedure. Furthermore, the system outputs the generated procedure in a specified format.

[1564] System Configuration

[1565] 1. User Device:

[1566] The device must be a smartphone or PC equipped with a camera and microphone for recording operation procedures, and must have an application installed that includes an interface for starting and stopping recording.

[1567] 2. Network:

[1568] A communication network is required to transmit and receive data between the user terminal and the server, and it is desirable that this network provide high-speed and stable communication.

[1569] 3. Server:

[1570] This computer system is equipped with generative AI and an emotion engine, and has the ability to receive video and audio data, analyze it, and automatically generate manuals.

[1571] Implementation details

[1572] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while the camera records the actual operation. During this time, the user's device records video and audio data in real time and also analyzes the user's emotions using an emotion engine. Data is transferred to the server at fixed buffer size intervals.

[1573] The server analyzes the received video, audio, and emotional data and inputs it into the generation AI. The generation AI synchronizes each frame of the video with the audio data and uses a voice analysis engine to convert the audio into text. This extracts the steps the user verbally explained as text information. At the same time, the emotional data is also analyzed, and information such as which steps the user felt stressed at is obtained.

[1574] The server automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information and emotional information. Screenshots and related images extracted from the video are inserted appropriately into the generated manual. Emotional data can also be used to highlight areas that require special attention or that are likely to cause stress to the user. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[1575] Specific examples

[1576] For example, let's consider the case where a webmaster is creating a manual on how to configure the backend of a website. The webmaster launches a dedicated application and performs website configuration operations, verbally explaining, "First, log in to the administration screen. Next, open the settings tab..." The smartphone records this and sends the video and audio data to the server in real time. At this time, the emotion engine also analyzes the webmaster's emotions and identifies areas where he or she feels stress or difficulty.

[1577] The server analyzes the received data and extracts steps such as "log in to the admin panel" and "open the settings tab." Based on this, each step is organized into a page in PowerPoint format, and screenshots corresponding to each step are inserted. Furthermore, based on the emotional data, comments and guidelines calling for special attention are added to steps that cause stress. The completed PowerPoint file is then sent to the web administrator's device via the network.

[1578] In this way, not only can users generate high-quality manuals in a short amount of time, but by utilizing emotional data, it is possible to create more user-friendly manuals that take into account the user's stress points.

[1579] The processing flow will be explained below.

[1580] Step 1:

[1581] The user presses the "Start recording procedure explanation video" button on their smartphone or PC to begin recording. The user verbally explains the operation procedures while recording the actual operations with a camera.

[1582] Step 2:

[1583] The device activates the recording module and starts recording video and audio data. At the same time, the emotion engine also activates, analyzing the user's emotions in real time from their facial expressions and voice.

[1584] Step 3:

[1585] The device transmits video, audio, and emotion data to a server in real time, and the data is transferred via a communication network.

[1586] Step 4:

[1587] The server stores the received video, audio, and emotion data and checks the synchronization of the video and audio. This step also checks the integrity of the data.

[1588] Step 5:

[1589] The server divides the video data into frames and records the timestamp of each frame, which makes it possible to identify specific operational steps within the video.

[1590] Step 6:

[1591] The server then processes the speech data through a speech recognition engine and converts it into text data. The user's verbal description, including the emotion recognition results, is extracted as text information.

[1592] Step 7:

[1593] The server analyzes the text data and emotion data and maps each step to the corresponding frame and timestamp, allowing each operation step and its associated emotion information to be clearly identified.

[1594] Step 8:

[1595] The server creates the basic structure of a document based on the procedure data and emotion data, using a template in a format (PowerPoint, Word, PDF, etc.) specified by the user.

[1596] Step 9:

[1597] The server extracts screenshots and related images from video frames for each step and embeds them into templates. Based on emotion data, parts that require special attention are highlighted.

[1598] Step 10:

[1599] The server optimizes the generated document, adjusts the layout to fit the format, and adds annotations and supplementary explanations to parts where the user has difficulty based on the emotional data.

[1600] Step 11:

[1601] The server saves the final document in the specified format and provides a download link to the user's device, which may also be sent to the user's email address.

[1602] Step 12:

[1603] Users can click the link sent to download the generated manual and use it in their work. This not only significantly reduces the time and effort required to explain procedures, but also provides manuals that take stress points into consideration using emotional data.

[1604] Example 2

[1605] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1606] Conventional operating procedure explanation systems require users to manually record operating procedures and create manuals, which is labor-intensive and makes it difficult to reflect the user's emotions and stress points. Therefore, an efficient and user-friendly method for creating operating procedure explanation manuals is needed.

[1607] The specification process by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for recording a video while the user orally explains the operating procedure, a means for providing the recorded video, audio data, and emotional data to the generation AI, a means for the generation AI to analyze the video, audio data, and emotional data and automatically generate information that takes into account the procedure and the user's emotions, and a means for outputting the generated information that takes into account the procedure and the user's emotions in a specified format. This not only enables the user to efficiently create a high-quality manual in a short amount of time, but also makes it possible to generate an easy-to-use manual that reflects the user's emotions and stress points.

[1608] An "operational procedure" refers to a series of actions or procedures that a user performs to perform a particular task or function.

[1609] "Verbal explanation" refers to the act of the user explaining something verbally using their voice.

[1610] "Video" refers to continuous video data recorded using a device such as a camera.

[1611] "Audio data" refers to data that stores recorded sound information in digital format.

[1612] "Emotion data" refers to data that indicates the user's emotional state, analyzed from information such as facial expressions and tone of voice.

[1613] "Generative AI" refers to a system that uses artificial intelligence techniques to analyze input data and automatically generate specific results or outputs.

[1614] "Analysis" refers to the process of examining and evaluating collected data and extracting information based on it.

[1615] "Format" refers to a particular form or structure for displaying or storing documents or data.

[1616] "Real-time" refers to data being processed and transmitted immediately at the moment it is collected.

[1617] "Automatic procedure generation" refers to the process whereby a system generates operating procedures based on collected data without human intervention.

[1618] The present invention is a system in which a user records a video while verbally explaining an operation procedure, and provides the video, audio data, and emotional data to a generation AI, which then analyzes the video and audio data and automatically generates a procedure. The system aims to output the generated procedure in a specified format. A specific example is shown below.

[1619] System configuration and hardware / software used

[1620] 1. User Device:

[1621] A device such as a smartphone or PC equipped with a camera and microphone for recording operating procedures.

[1622] An application that includes an interface for starting and stopping recording is installed. Specifically, you can use a recording application for your mobile OS or desktop recording software.

[1623] 2. Network:

[1624] A communication network is required to send and receive data between user terminals and servers, and a high-speed, stable communication environment is required.

[1625] 3. Server:

[1626] It uses a computer system equipped with generative AI and an emotion engine.

[1627] It has the ability to receive video and audio data, analyze it, and automatically generate manuals, using cloud servers and dedicated data centers.

[1628] Specific examples

[1629] For example, let's consider the case where a webmaster is creating a manual on how to configure the backend of a website. The webmaster launches a dedicated application and performs website configuration operations, verbally explaining, "First, log in to the administration screen. Next, open the settings tab..." The smartphone records this and sends the video and audio data to the server in real time. At this time, the emotion engine also analyzes the webmaster's emotions and identifies areas where he or she feels stress or difficulty.

[1630] Prompt Sentence Examples

[1631] Below are some of the prompts to be input to the generative AI model.

[1632] Prompt: "Please explain the backend setup steps for your website."

[1633] Description:

[1634] 1. First, log in to your admin page.

[1635] 2. Open the Settings tab.

[1636] 3. ...

[1637] How it works

[1638] First, the user launches the dedicated application on their smartphone or PC and presses the "Start recording instruction video" button to begin recording. The user verbally explains the operation procedure while the camera records the actual operation. During this time, the user's device records video and audio data in real time and also analyzes the user's emotions using an emotion engine. Data is transferred to the server at fixed buffer size intervals.

[1639] The server analyzes the received video, audio, and emotional data. The generation AI synchronizes each frame of the video with the audio data and uses a speech analysis engine to convert the audio into text. This extracts the steps the user verbally explained as text information. At the same time, the emotional data is also analyzed to obtain information such as which steps the user felt stressed at.

[1640] The server automatically generates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.) based on the extracted and analyzed procedure information and emotional information. Screenshots and related images extracted from the video are inserted appropriately into the generated manual. Emotional data can also be used to highlight areas that require special attention or that are likely to cause stress to the user. Finally, the server saves the completed manual in the specified format and provides a download link to the user's device or sends it directly to the user's email address.

[1641] In this way, not only can users generate high-quality manuals in a short amount of time, but by utilizing emotional data, it is possible to create more user-friendly manuals that take into account the user's stress points.

[1642] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1643] Step 1:

[1644] The user launches an application.

[1645] Specific operation: Tap or click the icon of the dedicated application installed on your smartphone or PC to launch it.

[1646] Input: User action (launching the app).

[1647] Output: The application's welcome screen is displayed.

[1648] Step 2:

[1649] The user starts recording.

[1650] Specific action: Tap or click the "Start Recording" button within the application.

[1651] Input: User action (instruction to start recording).

[1652] Output: Recording begins and camera and microphone are activated.

[1653] Step 3:

[1654] Collect video and audio data while your device is recording.

[1655] How it works: While the camera captures video, the microphone records audio. Dedicated emotion analysis software analyzes facial expressions and tone of voice to generate emotional data.

[1656] Input: User action (start of instruction).

[1657] Output: Video data, audio data, and emotion data are generated.

[1658] Step 4:

[1659] The device transfers the recorded data to the server in real time.

[1660] Specific operation: Recorded data (video, audio, emotion data) is uploaded to the server via the network at fixed buffer size intervals.

[1661] Input: Video data, audio data, emotion data.

[1662] Output: Data is sent to the server.

[1663] Step 5:

[1664] The server analyzes the received data.

[1665] How it works: Using a generative AI and a voice analysis engine, it synchronizes the received video and audio data, converts the audio into text, and analyzes emotional data to identify which steps the user feels stressed at.

[1666] Input: Video data, audio data, emotion data.

[1667] Output: Extracted text data and parsed sentiment data.

[1668] Step 6:

[1669] The server automatically generates procedures and creates a manual in the specified format.

[1670] How it works: Based on the extracted text data, the AI ​​automatically generates operating procedures and creates a manual in the format specified by the user (PowerPoint, Word, PDF, etc.). Screenshots and related images are inserted appropriately, and warnings and guidelines are added based on emotion data.

[1671] Input: Extracted text data, parsed sentiment data, specified format.

[1672] Output: A formatted manual.

[1673] Step 7:

[1674] The server transmits the completed manual to the user terminal.

[1675] Specific operation: Save the completed manual in the specified format and provide a download link to the user's device or send it directly to the user's email address.

[1676] Input: Formatted manual.

[1677] Output: A download link or email is provided to the user.

[1678] By dividing the processing into steps in this way, the flow of the entire system becomes clear, and the specific data processing and data calculations performed at each step, as well as the resulting output, are clearly indicated.

[1679] (Application example 2)

[1680] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1681] Conventional methods for collecting and sharing work procedures within factories require a great deal of time and effort for manual creation and training, making them inefficient. Furthermore, there was no way to identify the stress points workers felt during their work, which often resulted in inefficient work. With conventional technology, it was difficult to automatically generate procedure manuals based on emotion data, and output in a variety of formats was limited, so improved usability was needed.

[1682] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1683] In this invention, the server includes a means for recording a video of a user verbally explaining an operation procedure, a means for collecting the recorded video and audio data as well as emotional data, a means for a generation AI to analyze the video, audio data, and emotional data to automatically generate an operation procedure, and a means for outputting the generated operation procedure in a specified format and including additional information based on the emotional data. This enables the automatic generation of high-quality operation manuals that reflect the user's experience and stress points in real time.

[1684] An "operational procedure" is the sequence and method of actions and steps required for a user to perform a specific task.

[1685] "Movie" is a visual medium that expresses movement by sequentially displaying a series of still images.

[1686] "Audio data" refers to data for recording and processing sound waves as digital information.

[1687] "Generative AI" is an artificial intelligence system that analyzes specific patterns based on given data and automatically generates new information and procedures.

[1688] "Emotion data" is data obtained as a result of analyzing the user's emotional state, and includes emotional indicators such as stress, satisfaction, and confusion.

[1689] A "format" is a standard or template for organizing and arranging data or information in a particular form or style.

[1690] "Real-time" refers to data acquisition and processing occurring in real time without any time delay.

[1691] "Analysis" is the process of breaking down data and understanding and evaluating its structure and meaning.

[1692] A "procedure manual" is a document that describes specific steps for performing a specific task or operation.

[1693] "Additional information" refers to supplementary explanations or cautions provided in addition to the basic information.

[1694] A "server" is a computer system that responds to requests from clients on a network and processes and stores data.

[1695] "Recording" is the act of recording audio and video on equipment.

[1696] "Collection" is the act of gathering necessary data and information.

[1697] "Output" is the act of displaying, printing, or writing out data or information in digital form.

[1698] The present invention provides a system for recording operation procedures using smart glasses and analyzing the recorded data. Specific embodiments of the invention are described below.

[1699] System Configuration

[1700] 1. User Device:

[1701] Use smart glasses (commonly known as wearable cameras and audio recording devices). Smart glasses are equipped with a camera and microphone, allowing for real-time video and audio recording.

[1702] 2. Network:

[1703] A communications network is used to send and receive data between the smart glasses and the server, including a high-speed, stable internet connection.

[1704] 3. Server:

[1705] A computer system equipped with generative AI and an emotion engine that receives and analyzes video, audio, and emotion data to automatically generate instruction manuals.

[1706] Implementation details

[1707] 1. Video and Audio Recording

[1708] The user puts on the smart glasses and taps the "Start recording procedure explanation" button to start recording. As the user performs the actual task while listening to the verbal instructions, the smart glasses' camera and microphone record video and audio in real time. The user does not need to perform any special operations during this process.

[1709] 2. Data transmission

[1710] The recorded data is sent to a server in real time at fixed buffer sizes, including video data, audio data, and emotion data, which is analyzed in real time using IBM Watson Tone Analyzer.

[1711] 3. Data Analysis and Generation Procedures

[1712] The server converts the received data from audio to text using the Google Speech-to-Text API. It then uses OpenCV to analyze the video data frame by frame and extracts appropriate screenshots. The generative AI (OpenAI GPT-4) analyzes the text and emotional data to automatically generate steps. This extracts the steps verbally explained by the user as text information, and further identifies areas requiring special attention or areas that are likely to cause stress to the user based on the emotional data.

[1713] Generate procedure manuals

[1714] The server generates a procedure manual in a specified format (e.g., PDF) based on the analyzed procedure information. This procedure manual includes screenshots and related images for each operation step. Special notes and guidelines are added to stress points identified from the emotional data.

[1715] Distribution of procedure manuals

[1716] The generated procedure manual is sent to the user's device via the network. Specifically, it is sent to the user's email address via AWS's Simple Email Service (SES).

[1717] Specific examples

[1718] For example, when a factory worker records the procedure for replacing a machine part, they can input the following prompt sentences into the generative AI model, which will efficiently collect and analyze the work procedures:

[1719] Prompt Sentence Examples

[1720] Analyze the video and audio of the instruction video and generate instructions in the following format:

[1721] 1. Explanation of the procedure

[1722] 2. Important points to note

[1723] 3. Advice based on emotional data

[1724] example:

[1725] 1. Open your toolbox

[1726] Carefully check how to remove the tools you use

[1727] Place frequently used items at the front while working

[1728] High stress points: Tool placement is difficult to understand, so check in advance

[1729] By using this invention, it is possible to quickly create high-quality procedure manuals, improve work efficiency, and reduce worker stress.

[1730] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1731] Step 1:

[1732] Recording begins with smart glasses

[1733] When the user puts on the smart glasses and taps the "Start recording procedure instructions" button, the camera and microphone are activated, and video and audio of the operating procedures are recorded in real time.

[1734] Input: User operations and video and audio of operating procedures.

[1735] Output: Video and audio data being recorded.

[1736] How it works: The smart glasses' camera captures video, the microphone records audio, and the recording button starts recording data.

[1737] Step 2:

[1738] Emotional Data Analysis

[1739] During recording, an emotion analysis engine installed in the smart glasses analyzes the user's emotional data in real time.

[1740] Input: Video data and audio data being recorded.

[1741] Output: Real-time emotion data.

[1742] Specific operation: Analyzes facial expressions from video data and tone of voice from audio data. Based on this data, the emotional state is determined in real time and data is generated sequentially.

[1743] Step 3:

[1744] Sending data

[1745] The recorded video, audio, and emotion data are transferred to the server in real time at fixed buffer size intervals.

[1746] Input: Video data, audio data, and emotion data being recorded.

[1747] Output: The data sent to the server.

[1748] Specific operation: Data that has reached a certain buffer size on the device is sent to the server in bulk. Data is sent asynchronously to ensure stable communication.

[1749] Step 4:

[1750] Converting audio data to text

[1751] The server converts the received voice data into text data using the Google Speech-to-Text API.

[1752] Input: The audio data sent to the server.

[1753] Output: The audio converted to text.

[1754] Specific operation: Using the Google Speech-to-Text API, phonemic and contextual analysis of the audio data is performed and it is converted into text format.

[1755] Step 5:

[1756] Frame analysis of video data

[1757] The server uses OpenCV to analyze the video data frame by frame and extract screenshots of important scenes.

[1758] Input: Video data sent to the server.

[1759] Output: Analyzed video frames and extracted screenshots.

[1760] Specific behavior: It analyzes each frame to identify significant motion and important scenes that synchronize with the user's speech. It saves these scenes as screenshots.

[1761] Step 6:

[1762] Generate procedure information

[1763] The server uses generative AI (OpenAI GPT-4) to analyze text data and emotional data and automatically generate operating procedures.

[1764] Input: Text data, emotion data and screenshots.

[1765] Output: Auto-generated operating instructions.

[1766] Specific operation: Text data and emotional data are input into the generation AI as prompt sentences, and appropriate procedural information is generated.

[1767] Step 7:

[1768] Formatting procedure manuals

[1769] The server generates a procedure manual in a specified format (PDF) based on the generated procedure information, and includes additional information based on the emotion data.

[1770] Input: Auto-generated operating instructions, screenshots, and emotion data.

[1771] Output: Formatted instructions.

[1772] Specific behavior: Use LaTeX or other formatting tools to properly layout and output instructions, screenshots, and emotion data.

[1773] Step 8:

[1774] Distribution of procedure manuals

[1775] The generated instructions are sent to the user's email address using AWS SES.

[1776] Input: Formatted instructions and user's email address.

[1777] Output: Instructions sent to the user's inbox.

[1778] Specific operation: Calls AWS SES and sends the automatically generated instruction manual data as an attachment to the specified email address.

[1779] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1780] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1781] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1782] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1783] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1784] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1785] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1786] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1787] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1788] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1789] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1790] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1791] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1792] 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.

[1793] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1794] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1795] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1796] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1797] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1798] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1799] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1800] The following is further disclosed regarding the above embodiment.

[1801] (Claim 1)

[1802] A first means for a user to record a video while verbally explaining an operation procedure;

[1803] a second means of providing the recorded video and audio data to the generative AI;

[1804] A third method is for a generative AI to analyze video and audio data and automatically generate instructions.

[1805] The system includes a fourth means for outputting the generated procedure in a specified format.

[1806] (Claim 2)

[1807] 10. The system of claim 1, wherein the video and audio data is transferred to the server in real time.

[1808] (Claim 3)

[1809] The system of claim 1, including a generation AI that converts voice data into text and analyzes procedures based on the text data.

[1810] "Example 1"

[1811] (Claim 1)

[1812] A device for recording a video while a user verbally explains an operation procedure;

[1813] A device that provides recorded video and audio data to the generation AI;

[1814] A device in which a generation AI analyzes video and audio data and automatically generates procedures;

[1815] a device for outputting the generated procedure in a specified format;

[1816] A device that transfers video and audio data to a server in real time

[1817] A system including:

[1818] (Claim 2)

[1819] The system of claim 1, including a generation AI that converts voice data into text and analyzes procedures based on the text data.

[1820] (Claim 3)

[1821] 10. The system of claim 1, further comprising a device for automatically generating a procedure manual in multiple formats (e.g., PowerPoint, document, electronic file) based on the analyzed procedure information.

[1822] "Application Example 1"

[1823] (Claim 1)

[1824] A first means for a user to record a video while verbally explaining an operation procedure;

[1825] a second means of providing the recorded video and audio data to the generative AI;

[1826] A third method is for a generative AI to analyze video and audio data and automatically generate instructions.

[1827] a fourth means for outputting the generated procedure in a specified format;

[1828] A fifth means includes a generation AI that converts the voice data into text and analyzes the procedure based on the text data;

[1829] A sixth method is to extract screenshots for each operation step using a video analysis engine;

[1830] A seventh means for automatically generating a procedure manual using a document generation library based on the analyzed procedure information;

[1831] A system including:

[1832] (Claim 2)

[1833] 10. The system of claim 1, wherein the video and audio data is transferred to the server in real time.

[1834] (Claim 3)

[1835] 2. The system according to claim 1, further comprising means for generating a procedure manual in a specified format based on the analyzed procedure information.

[1836] "Example 2: Combining Emotion Engines"

[1837] (Claim 1)

[1838] A first means for a user to record a video while verbally explaining an operation procedure;

[1839] a second means for providing the recorded video and audio data and emotion data to the generative AI;

[1840] A third means in which the generation AI analyzes the video, audio data, and emotion data, and automatically generates information that takes into account the procedure and the user's emotion;

[1841] The system includes a fourth means for outputting the generated procedure and the information taking into consideration the user's emotions in a specified format.

[1842] (Claim 2)

[1843] 2. The system of claim 1, wherein the video and audio data and the emotion data are transferred to the server in real time.

[1844] (Claim 3)

[1845] The system of claim 1, including a generation AI that converts voice data into text and analyzes procedures based on the text data and emotion data.

[1846] "Application example 2 when combining emotion engines"

[1847] (Claim 1)

[1848] A first means for a user to record a video while verbally explaining an operation procedure;

[1849] A second method of providing recorded video and audio data to the generative AI and further collecting emotional data;

[1850] A third method is for the generative AI to analyze video, audio, and emotional data and automatically generate instructions.

[1851] The system includes a fourth means for outputting the generated instructions in a specified format and including additional information based on the emotion data.

[1852] (Claim 2)

[1853] 10. The system of claim 1, wherein the video and audio data and the emotion data are transferred to the server in real time.

[1854] (Claim 3)

[1855] The system of claim 1, including a generation AI that converts voice data into text and analyzes procedures based on the text data and emotion data. [Explanation of symbols]

[1856] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a first means for a user to record a video while verbally explaining an operation procedure; a second means for providing the recorded video and audio data to the generating AI; A third means in which a generating AI analyzes video and audio data and automatically generates procedures; The system includes a fourth means for outputting the generated procedure in a specified format.

2. 10. The system of claim 1, wherein the video and audio data is transferred to the server in real time.

3. 2. The system according to claim 1, further comprising a generation AI that converts voice data into text and analyzes procedures based on the text data.

Images