system

Abstract

Provide a system. The camera includes: a photographing means that is operated by a user and aimed at an object; a compression and encryption means for compressing and encrypting image data acquired by the photographing means; a transmitting means for transmitting the image data encrypted by the encrypting means to a server; a receiving means for receiving the image data transmitted by the transmitting means; analysis means for decoding and analyzing the image data received by the receiving means; an information collection means for collecting related information based on the identification information obtained by the analysis means; an information display means for organizing the information obtained by the information collection means and providing it to a user; A system including:

Description

[Technical Field]

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

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

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

[0004] In everyday life, there is a problem of not being able to quickly and easily obtain information about many objects and phenomena we see. Conventional methods have difficulty properly searching for objects whose names and details are unknown. This problem poses a barrier to knowledge acquisition, especially for curious people. The present invention aims to solve this problem and facilitate knowledge sharing in everyday life by providing detailed information about objects in real time. [Means for solving the problem]

[0005] The present invention provides a system including an imaging means operated by a user toward an object, a compression and encryption means for compressing and encrypting the acquired image data, a transmission means for transmitting the image data to a server, an analysis means for decrypting and analyzing the received image data, an information collection means for collecting related information based on identification information, and an information display means for organizing the collected information and providing it to the user. In particular, by using a generative AI model for the analysis means and the AES-256 algorithm for the encryption means and decryption means, it is possible to provide information quickly and securely.

[0006] "User" refers to a person who uses this system to obtain information about an object.

[0007] The term "object" refers to an object or phenomenon about which the user wants to know more information.

[0008] "Photographing means" refers to a function for acquiring an image of an object using a device such as a camera.

[0009] "Image data" refers to data that expresses image information acquired by a photographing means in a digital format.

[0010] "Compression and encryption means" refers to a compression process to reduce the size of the acquired image data and an encryption process to ensure the security of the data.

[0011] "Transmission means" refers to a function for transmitting compressed and encrypted image data to a server.

[0012] "Server" refers to a computer system that analyzes received data and provides information based on stored data.

[0013] The "receiving means" refers to a function for receiving image data transmitted by the transmitting means.

[0014] "Decryption" refers to the process of restoring encrypted data to its original state.

[0015] The "analysis means" refers to a function that has the function of analyzing received image data and generating identification information.

[0016] "Generative AI model" refers to an artificial intelligence model used for image analysis.

[0017] "Identification information" refers to characteristics and classification information about an object generated by an analysis means.

[0018] "Information collection means" refers to the function of collecting related information from databases and external sources based on identification information.

[0019] "Information display means" refers to a function that provides collected and organized information to the user visually or audibly.

[0020] The "AES-256 algorithm" is one of the algorithms used as an advanced encryption standard, and provides extremely high security. [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 providing detailed information on a specific object in real time. The operation of the system will be specifically described below.

[0043] First, the user takes a smartphone or small dedicated device and points the device's camera at the object they want to know about. The user launches the camera application, focuses on the object, and presses the capture button, which causes the device's camera to capture an image of the object.

[0044] The acquired image data is compressed and encrypted within the device. The compression process reduces the data size and enables efficient transfer, while the encryption process ensures data confidentiality. The encryption algorithm is AES-256, which is highly secure.

[0045] The compressed and encrypted image data is sent over the internet to a server, which then decrypts it and returns it to a format that can be analyzed. The server then uses a generative AI model to analyze the image, extract features from the image, and generate identification information.

[0046] Based on the generated identification information, the server collects related information from the Infinite Encyclopedia database and reliable external databases, including basic information, characteristics, and related knowledge of the object.

[0047] The collected information is organized in a user-friendly format, re-encrypted, and sent to the device, where it is decrypted and displayed in an easily understandable format to the user, including text information, related images, and possibly audio readings.

[0048] For example, if a user points their device at a rose in their garden, the device will take a picture of the rose and send it to the server. Image analysis on the server will identify it as a "rose," and related information such as "The scientific name of a rose is Rosa," "The flower's meaning is love and beauty," and "General methods for growing it" will be collected. This information will be organized and sent back to the device, where it will be displayed on the user's screen as "This flower is a rose."

[0049] As described above, the present invention is a system that provides detailed information about an object in real time, facilitating the acquisition of knowledge.

[0050] The processing flow will be explained below.

[0051] Step 1:

[0052] The user points the device at an object and operates it. When the user presses the "photo button," the device's camera takes a picture of the object. This image is temporarily saved in the device.

[0053] Step 2:

[0054] Image data acquired by the terminal is compressed. For example, it is converted to JPEG format to reduce the file size and make data transfer more efficient.

[0055] Step 3:

[0056] Encrypt the compressed image data. To ensure security, the image data is encrypted using the AES-256 algorithm.

[0057] Step 4:

[0058] The device sends the encrypted image data to the server using the HTTPS protocol, ensuring security during data transfer.

[0059] Step 5:

[0060] The server decrypts the received image data and returns the data to its original state using the encryption key used by the device.

[0061] Step 6:

[0062] The server inputs the decoded image data into a generative AI model for analysis. The generative AI model extracts features from the image and generates identification information. For example, it can identify an object based on features such as the shape and color of a flower.

[0063] Step 7:

[0064] The server collects relevant information based on the identified object, and searches and collects detailed information about the object from the Infinite Encyclopedia database and trusted external databases.

[0065] Step 8:

[0066] Organize the collected information in a format that is easy for users to understand, such as text information, related images, and, if necessary, audio information.

[0067] Step 9:

[0068] The server then re-encrypts the organized information and sends it to the device, again using the AES-256 algorithm.

[0069] Step 10:

[0070] The device decrypts the encrypted data it receives, converting the decrypted information into a readable format.

[0071] Step 11:

[0072] The device then displays the decrypted information to the user. Text information is displayed on the screen, associated images are provided visually, and in some cases, audio is read. For example, the visual information displayed may be, "This flower is a rose. Its scientific name is Rosa. Its language is love and beauty."

[0073] As a result, the user can obtain detailed information about the object in real time.

[0074] Example 1

[0075] 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."

[0076] Conventional information acquisition systems have had difficulty providing users with detailed information about objects in real time. Furthermore, confidentiality was often not ensured during the data transmission and reception process, creating security risks. Furthermore, the accuracy of image analysis was low, which could result in incorrect information being provided. There is a need to provide a system that can solve these issues and enable users to quickly and accurately obtain information about objects.

[0077] 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.

[0078] In this invention, the server includes an imaging means operated by a user toward an object, a compression and encryption means for compressing and encrypting image data acquired by the imaging means, a transmission means for transmitting the image data compressed and encrypted by the compression and encryption means to the server via a communication line, a receiving and decrypting means for receiving and decrypting the image data transmitted by the transmission means, an analysis means for analyzing the decrypted image data and extracting features, an information collection means for collecting related information based on the feature information obtained by the analysis means, an encryption and transmission means for organizing the information obtained by the information collection means, re-encrypting it, and transmitting it to a user terminal via a communication line, and a display means for receiving, decrypting, and displaying the re-encrypted information. This allows a user to accurately obtain detailed information about the object they have photographed in real time, while ensuring the confidentiality of the information.

[0079] The "photographing means" is a device that the user points at an object to capture an image.

[0080] A "compression and encryption means" is a device or program that compresses and encrypts image data to reduce the size of the captured image data and ensure data confidentiality.

[0081] The "transmission means" is a device or program that transmits compressed and encrypted image data to a server using a communication line.

[0082] The "receiving and decrypting means" is a device or program that receives the image data transmitted by the transmitting means and restores the encrypted data to its original state.

[0083] The "analysis means" is a device or program for analyzing the decoded image data and extracting features within the image.

[0084] The "information collection means" is a device or program that collects related information from an external database based on the characteristic information obtained by the analysis means.

[0085] The "encryption and transmission means" is a device or program that re-encrypts the information obtained by the information collection means and transmits it to the user terminal via a communication line.

[0086] A "display means" is a device or program that displays the decoded information in a format that is easily understandable to the user.

[0087] The present invention is a system that provides detailed information on specific objects in real time. This system operates by having a user acquire an image of the object using a terminal, sending the image data to a server for analysis, and returning the obtained information to the user.

[0088] Using a smartphone or dedicated small device, the user points the device's camera at the object of interest. The user launches the camera application, focuses on the object, and presses the capture button, and the device's camera captures an image of the object. The camera application can be, for example, the standard "Camera" app.

[0089] The captured image data is first compressed within the device using the JPEG compression algorithm to reduce the data size, and then encrypted using the AES-256 algorithm to ensure data confidentiality.

[0090] The compressed and encrypted image data is sent over the Internet to a server using an HTTP POST request, where it is decrypted using the AES-256 algorithm to restore the original image data.

[0091] The decoded image data is input into a generative AI model on the server. Examples of generative AI models that are used include YOLO (You Only Look Once) and Residual Networks (Residual Networks). This AI model extracts features within the image and identifies the object. The identified information is specified in a form such as "This flower is a rose."

[0092] The server collects related information from an external database (e.g., a database service API) based on the information of the identified object, including basic information, characteristics, and related knowledge of the object.

[0093] The collected information is organized into a user-friendly format, and the organized data is again encrypted using the AES-256 algorithm and sent to the device, again using an HTTP POST request.

[0094] The device then decrypts the encrypted data and displays it in a user-friendly format, including text information, associated images, and possibly text-to-speech functionality (such as the Google® Text-to-Speech API).

[0095] As a concrete example, when a user points their device at a rose in their garden and takes a picture, the image is compressed, encrypted, and then sent to the server. The image is analyzed by the server and identified as a "rose," and information such as "The scientific name of roses is Rosa," "The flower's meaning is love and beauty," and "General methods for growing roses" are collected from an external database. This information is organized, re-encrypted, sent to the device, and displayed on the user's screen. The user can obtain detailed information such as "This flower is a rose."

[0096] An example of a prompt for the generative AI model is, "Please identify the object in the following image and provide relevant information." Based on this prompt, the server accurately analyzes the image and provides accurate information to the user.

[0097] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0098] Step 1:

[0099] The user uses the device's camera to capture an image of an object. When the user launches the camera application and presses the capture button while focusing on the object, the device's camera captures an image of the object (input data). This results in image data (output data).

[0100] Step 2:

[0101] The terminal compresses the acquired image data. This compression process uses the JPEG compression algorithm. Image data is input, and compressed image data (output data) is obtained with a reduced data size based on the compression process.

[0102] Step 3:

[0103] The terminal encrypts the compressed image data. This encryption process uses the AES-256 algorithm. The input is the compressed image data, and the encrypted image data (output data) is obtained based on the encryption process.

[0104] Step 4:

[0105] The device sends the encrypted image data to the server via the Internet. This transmission uses an HTTP POST request. The input is the encrypted image data, and by transmitting it, the data already sent to the server (output data) is obtained.

[0106] Step 5:

[0107] The server receives the encrypted image data and decrypts it. This decryption process also uses the AES-256 algorithm. The input is the encrypted image data, and the original image data (output data) is obtained based on the decryption process.

[0108] Step 6:

[0109] The server inputs the decoded image data into a generative AI model, which uses YOLO, ResNet, etc. The input is the decoded image data, and the feature information of the object (output data) is obtained based on the analysis of the generative AI model.

[0110] Step 7:

[0111] The server collects related information from an external database based on the feature information obtained from the generative AI model. The feature information is input, and related information (output data) is obtained based on a database query. The collected related information includes basic information, features, and related knowledge of the object.

[0112] Step 8:

[0113] The server organizes the collected relevant information into a user-friendly format and re-encrypts it, again using the AES-256 algorithm. The input is the relevant information, and the resulting encrypted information (output data) is based on the organization and encryption process.

[0114] Step 9:

[0115] The server sends the encrypted information to the terminal. This transmission also uses an HTTP POST request. The encrypted information is input, and by sending it, the data already sent to the terminal (output data) is obtained.

[0116] Step 10:

[0117] The terminal decrypts the received encrypted information and displays it to the user. The AES-256 algorithm is used again for decryption. The input is the encrypted information, and the original information (output data) is obtained based on the decryption. The decrypted information is displayed to the user in the form of text, image, sound, etc.

[0118] For example, when a user points their device at a rose in a garden and takes a picture, the image is compressed, encrypted, and then sent to a server. The image data is decrypted by the server and input into a generative AI model, which identifies it as a "rose." Based on this identification, information about the rose is collected from an external database. This information is organized, re-encrypted, and sent to the device, ultimately displaying the message "This flower is a rose" on the user's screen.

[0119] (Application example 1)

[0120] 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."

[0121] In today's brick-and-mortar stores, users lack the means to quickly and accurately obtain detailed product information. This leads to users making purchasing decisions based on insufficient information, resulting in lower customer satisfaction. Furthermore, face-to-face explanations by store clerks are time-consuming and inefficient. To address these issues, it is necessary to develop a system that allows users to obtain product information in real time using devices such as smartphones or smart glasses.

[0122] 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.

[0123] In this invention, the server includes an imaging means operated by a user toward an object, a compression and encryption means for compressing and encrypting image data acquired by the imaging means, a transmission means for transmitting the image data encrypted by the encryption means to the server, a reception means for receiving the image data transmitted by the transmission means, an analysis means for decrypting and analyzing the image data received by the reception means, an information collection means for collecting related information based on the identification information obtained by the analysis means, an information display means for organizing the information obtained by the information collection means and providing it to the user, and a product information provision means for the information display means to provide the user with information about products in the physical store in real time. This allows the user to obtain detailed information about products in the store in real time, making purchasing decisions easier and expected to improve customer satisfaction.

[0124] "User" refers to an individual or corporation that uses this system to obtain information about an object.

[0125] The term "object" refers to a specific product or object about which the user wishes to know information.

[0126] The "photography means" is a device with a camera function that is used by the user to photograph an object.

[0127] The "compression and encryption means" is a function that performs compression and encryption processes on captured image data to reduce the data size and ensure confidentiality.

[0128] The "transmission means" is a function for transmitting encrypted image data to a server.

[0129] The "receiving means" is a function by which the server receives the image data transmitted by the transmitting means.

[0130] "Decryption" is the process of restoring encrypted image data to its original form.

[0131] The "analysis means" is a function that analyzes the decoded image data and generates identification information of the object.

[0132] A "generative AI model" is an artificial intelligence model used to analyze images and generate related information.

[0133] "Identification information" is information obtained by the analysis means that is necessary for identifying and recognizing an object.

[0134] The "information collection means" is a function that collects related detailed information from an external database or the like based on the identification information.

[0135] The "information display means" is a function that provides collected information to the user in an easy-to-understand format.

[0136] The "product information providing means" is a function that allows users to obtain detailed information about products in real time in a physical store.

[0137] The present invention is a system for providing a user with information about an object in real time. The system includes an image capturing unit, a compression and encryption unit, a transmission unit, a reception unit, an analysis unit, an information collection unit, an information display unit, and a product information providing unit.

[0138] Hardware and software used

[0139] Hardware: Smartphones, smart glasses, head-mounted displays

[0140] Software: Mobile application (Swift, Kotlin), cloud server (AWS (registered trademark), Azure (registered trademark)), image analysis model (TENSORFLOW (registered trademark)), database (MySQL (registered trademark))

[0141] System processing flow

[0142] 1. Shooting and data compression / encryption

[0143] A user uses a photographing device such as a smartphone or smart glasses to photograph an object of interest, such as a product in a physical store (e.g., a wine bottle or a skin care product).

[0144] The captured image data is compressed inside the device and then encrypted using the AES-256 algorithm.

[0145] 2. Sending and Receiving Data

[0146] The encrypted image data is transmitted to the server using a transmitting means, and the server receives the image data using a receiving means.

[0147] 3. Data Decoding and Analysis

[0148] The server decodes the received image data and analyzes it using an analysis means, which uses a generative AI model to identify the object.

[0149] 4. Collection and display of related information

[0150] Based on the information identified by the analysis means, the information collection means collects related information from the Infinite Encyclopedia database and external databases. The collected information is organized, encrypted, and then transmitted to the terminal again.

[0151] The device decodes this information and displays it in a form that the user can easily understand, either as text, images, or audio.

[0152] Specific examples

[0153] To use the ShopHelper app in a brick-and-mortar store, users point their smartphone camera at a wine bottle, take a photo, and then type a prompt into the app, like this:

[0154] "Tell me more about this product"

[0155] What are the flavor characteristics of this wine?

[0156] "I want to know the ingredients in this skin care cream."

[0157] Based on this prompt, the server collects detailed information about the object and displays it to the user, allowing the user to obtain detailed information about the product in real time.

[0158] This system will significantly improve the user's shopping experience in physical stores, providing faster and more accurate information. As a specific example of its use, a user can take a photo of a wine bottle in a store and instantly check detailed information about the wine, such as its origin, grape variety, price, and taste.

[0159] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0160] Step 1:

[0161] A user takes a photograph of an object using a photographing means such as a smartphone or smart glasses. The input is image data captured through the camera, which contains visual information of the object.

[0162] Step 2:

[0163] The captured image data is processed by compression and encryption means within the device. The input is raw image data, and the output is compressed and AES-256 encrypted image data. Specifically, the image is compressed into JPEG format, and then the data is encrypted using an encryption algorithm.

[0164] Step 3:

[0165] The encrypted image data is sent to the server via a transmission means. The input is the encrypted image data, and the output is the data sent to the server. Specifically, the HTTPS protocol is used to securely send the data to the server.

[0166] Step 4:

[0167] The server receives the encrypted image data sent by the receiving means. The input is the encrypted image data received from the sending means, and the output is the received data. Specifically, the server's receiving API receives the data and prepares it for the next processing.

[0168] Step 5:

[0169] The server decrypts the received image data. The input is encrypted image data, and the output is decrypted image data. Specifically, the AES-256 algorithm is used to restore the data to its pre-encryption state.

[0170] Step 6:

[0171] The decoded image data is analyzed by an analysis means. The input is the decoded image data, and the output is the object's identification information. Specifically, a generative AI model (e.g., TensorFlow) is used to perform image analysis, extract the object's features, and generate the object's identification information.

[0172] Step 7:

[0173] The server collects related information based on the identification information using an information collection means. The input is the identification information, and the output is the collected related information. Specifically, the server collects data related to the identification information from the Infinite Encyclopedia database and external reliable databases.

[0174] Step 8:

[0175] The collected information is organized and encrypted by the server's information display means. The input is the collected related information, and the output is the encrypted organized information. Specifically, text, images, and, if necessary, audio data are appropriately organized and encrypted with AES-256.

[0176] Step 9:

[0177] The server sends the organized information to the terminal. The input is the encrypted organized information, and the output is the data to be sent to the terminal. Specifically, the data is sent back to the terminal using the HTTPS protocol.

[0178] Step 10:

[0179] The terminal decrypts the information it receives and displays it in a user-friendly format. The input is encrypted, organized information, and the output is displayed information. Specifically, it decrypts using AES-256 and displays the collected information as text, images, and sometimes audio.

[0180] This series of steps allows users to obtain detailed information about objects in real time while in a physical store. By entering prompt phrases (e.g., "Tell me more about this product" or "What are the taste characteristics of this wine?") into the app, the information the user wants to know is instantly displayed.

[0181] 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.

[0182] The present invention combines a system that provides detailed information on specific objects in real time with an emotion engine that recognizes the user's emotions. The operation of the system will be specifically described below.

[0183] First, the user holds a smartphone or dedicated small device and points the device's camera at the object they want to know about. The user launches the camera application, focuses on the object, and presses the capture button. The device's camera then takes a picture of the object. This image is temporarily saved on the device.

[0184] The acquired image data is compressed and encrypted within the device. The compression process reduces the data size and enables efficient transfer, while the encryption process ensures data confidentiality. The encryption algorithm is AES-256, which is highly secure.

[0185] The compressed and encrypted image data is sent to a server via the Internet. The server decrypts the received image data and returns it to an analyzable state. The server then analyzes the image using a generative AI model, extracts features within the image, and generates identification information. Based on the generated identification information, the server collects related information from the Infinite Encyclopedia database and reliable external databases. This information includes basic information, features, and related knowledge about the object.

[0186] Next, the emotion engine is activated to recognize the user's emotions. The emotion engine uses the device's camera and microphone to analyze emotions from the user's facial expressions and voice. The analysis results are sent to the server, which then adjusts the format and content of the information provided based on the emotion information.

[0187] For example, if the emotion engine determines that the user is tired, the server can simplify the information provided or add a text-to-speech function. Conversely, if the user is excited, the server can increase satisfaction by providing detailed information and more images.

[0188] The collected information is organized into a user-friendly format, re-encrypted, and sent to the device, where it is decrypted and displayed in a user-friendly format, including text information, related images, and possibly audio readings.

[0189] For example, if a user points a device at a rose in a garden, the device takes a picture of the rose and sends it to the server. Image analysis on the server identifies it as a "rose," and collects related information such as "The scientific name of a rose is Rosa," "The flower's meaning is love and beauty," and "General methods for growing it." This information is organized according to the user's emotional state and sent back to the device. The device displays the information on the screen and, if necessary, reads it aloud.

[0190] As described above, the present invention is a system that provides detailed information about an object in real time in an optimal format according to the emotional state of the user.

[0191] The processing flow will be explained below.

[0192] Step 1:

[0193] The user points the device at an object and operates it. When the user presses the "photo button," the device's camera takes an image of the object. This image is temporarily saved in the device.

[0194] Step 2:

[0195] The image data acquired by the terminal is compressed, for example, by converting it to JPEG format to reduce the data size, thereby enabling efficient data transfer.

[0196] Step 3:

[0197] Encrypt the compressed image data. Encrypt the image data using the AES-256 algorithm to ensure data confidentiality and security.

[0198] Step 4:

[0199] The device sends the encrypted image data to the server using the HTTPS protocol, ensuring security during data transfer.

[0200] Step 5:

[0201] The server decrypts the received image data and returns the data to its original state using the encryption key used on the device.

[0202] Step 6:

[0203] The server inputs the decoded image data into a generative AI model for analysis. The generative AI model extracts features from the image and generates identification information. For example, it can analyze the shape, color, and pattern of a flower to identify its type.

[0204] Step 7:

[0205] The server collects relevant information based on the identification information, and searches and collects detailed information about the object from the Infinite Encyclopedia database and trusted external databases.

[0206] Step 8:

[0207] The device's emotion engine analyzes the user's voice and facial expressions to recognize the user's current emotional state. The emotion engine uses the camera and microphone to capture data in real time.

[0208] Step 9:

[0209] The emotion engine transmits the acquired emotion data to the server, thereby transmitting the user's emotional state to the server.

[0210] Step 10:

[0211] The server receives emotional data and adjusts the format and content of the information it provides based on that data. For example, if it detects that the user is tired, it can simplify the information or add a voice readout function.

[0212] Step 11:

[0213] The organized information is encrypted and sent to the terminal. The server then encrypts the information again with the AES-256 algorithm and sends it securely.

[0214] Step 12:

[0215] The device decrypts the encrypted data it receives, converting the decrypted information into a readable format.

[0216] Step 13:

[0217] The device then displays the decrypted information to the user. Text information is displayed on the screen, associated images are provided visually, and in some cases, audio is read. For example, the visual information displayed may be, "This flower is a rose. Its scientific name is Rosa. Its language is love and beauty."

[0218] As a result, the user can obtain detailed information about the object in real time and in a format that matches the user's emotional state.

[0219] Example 2

[0220] 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."

[0221] In conventional systems, when a user obtains detailed information about a specific object in real time, the user's emotional state is not taken into consideration, which can result in the information provided being suboptimal for the user. Another problem is that security is not adequately ensured during the transmission and analysis of image data. The present invention aims to solve these problems and enable the provision of optimal information according to the user's emotional state.

[0222] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: an imaging means operated by a user toward an object; a compression and encryption means for compressing and encrypting image data acquired by the imaging means; a transmission means for transmitting the image data encrypted by the encryption means to the server; a reception means for receiving the image data transmitted by the transmission means; an analysis means for decrypting and analyzing the image data received by the reception means; an information collection means for collecting related information based on the identification information obtained by the analysis means; an information display means for organizing information based on the information obtained by the information collection means and the user's emotional information and providing the information to the user; an emotion analysis means for analyzing the user's facial expressions and voice to determine the emotional state; and an information adjustment means for adjusting the content of the information to be provided based on the emotional information obtained by the emotion analysis means. This makes it possible to provide appropriate information according to the user's emotional state.

[0223] The "photography means" is a device that the user operates to point at an object and capture images or videos.

[0224] The "compression and encryption means" is a function that compresses the acquired image data to reduce the data size, and further encrypts the data to ensure its confidentiality.

[0225] The "transmission means" is a function for transmitting compressed and encrypted image data to a server.

[0226] The "receiving means" is a function for receiving the image data transmitted by the transmitting means on the server side.

[0227] The "analysis means" is a function that decodes the image data received by the server, analyzes the features in the image using a generative AI model, and generates identification information.

[0228] The "information collection means" is a function that collects related information from a database or external source based on the identification information obtained by the analysis means.

[0229] The "information display means" is a function that organizes information based on collected information and user emotional information, and presents it in a format that is easy for the user to understand.

[0230] The "emotion analysis means" is a function that analyzes the user's facial expressions and voice to determine the user's emotional state.

[0231] The "information adjustment means" is a function that adjusts the content and format of the information to be provided based on the emotional information obtained by the emotional analysis means.

[0232] A "generative AI model" is an algorithm that uses machine learning to learn patterns and features from large amounts of data and analyze newly input data.

[0233] The "AES-256 algorithm" is an advanced encryption technology that uses a 256-bit key to encrypt and decrypt data.

[0234] The present invention is a system that allows a user to obtain detailed information about a specific object in real time, and further has the function of providing an appropriate information format depending on the user's emotional state.

[0235] First, the user points the camera at an object using a smartphone or dedicated small device. The user launches the camera application, focuses on the object, and presses the capture button. The camera takes an image of the object. This image data is temporarily stored on the device.

[0236] The device compresses and encrypts the stored image data. The compression process reduces the data size and allows for efficient data transfer. The encryption process uses the AES-256 algorithm to ensure data confidentiality. The compressed and encrypted image data is then sent to a server via the Internet.

[0237] The server decodes the received image data and returns it to an analyzable state. It then analyzes the image using a generative AI model, extracts features within the image, and generates identification information. Based on this identification information, the server collects related information from the Infinite Encyclopedia database and reliable external databases, including basic information, characteristics, and related knowledge of the object.

[0238] Next, an emotion analysis means is activated to recognize the user's emotions. This means uses the device's camera and microphone to analyze the user's facial expressions and voice to determine the user's emotional state. The analysis results are sent to the server, which then adjusts the format and content of the information provided based on the emotion information.

[0239] For example, if the emotion analysis means determines that the user is tired, the server can simplify the information provided or add a voice readout function. Conversely, if the user is excited, the server can increase satisfaction by providing detailed information and more images. The collected information is organized in a format that is easy for the user to understand, re-encrypted, and sent to the device. The device decrypts this data and displays it in a format that the user can easily understand. The display format can include text information, related images, and in some cases voice readout.

[0240] As a concrete example, let's say a user points their device at a rose in a garden and takes a picture. The image data of the rose taken by the device's camera is sent to a server, where it is identified as a "rose" through image analysis. Related information is then collected, such as "The scientific name of roses is Rosa," "The flower's meaning is love and beauty," and "General methods for growing roses." This information is organized according to the user's emotional state and sent back to the device. The device displays the information on the screen and, if necessary, reads it aloud.

[0241] An example prompt is:

[0242] "Provide information about a rose. Generate text detailing the rose's scientific name, flower language, and general care instructions. Be brief if the user is tired, or detailed if the user is excited."

[0243] In this way, the system of the present invention can provide optimal information in real time according to the user's emotional state.

[0244] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0245] Step 1:

[0246] The user captures an object with the camera, launches the camera application, focuses on the object, and presses the capture button.

[0247] Input: Actual object

[0248] Output: Captured image data

[0249] Specific operation: For example, if a user wants to take a picture of roses in a garden, he or she launches a camera app, points the camera at the roses, and presses the capture button when the focus is set.

[0250] Step 2:

[0251] The device internally compresses and encrypts the captured image data. The compression process reduces the data size, and the encryption process uses the AES-256 algorithm.

[0252] Input: Photographed image data

[0253] Output: Compressed and encrypted image data

[0254] Specific operation: The device compresses the acquired image data and encrypts it with AES-256 to reduce the data size while keeping it secure.

[0255] Step 3:

[0256] The compressed and encrypted image data is sent to a server over the Internet.

[0257] Input: Compressed and encrypted image data

[0258] Output: Image data sent to the server

[0259] Specific operation: The encoded image data is sent to the server using Wi-Fi or mobile data.

[0260] Step 4:

[0261] The server decodes the received image data and returns it to an analyzable state.

[0262] Input: Encrypted image data

[0263] Output: Decoded image data

[0264] Specific operation: The server decrypts the AES-256 encrypted data and returns it to an analyzable state.

[0265] Step 5:

[0266] The server uses the generated AI model to analyze the image, extract features within the image, and generate identification information.

[0267] Input: Decoded image data

[0268] Output: Identification information

[0269] Specific operation: Image analysis is performed using a generative AI model, and if the image is a rose, it is identified as a "rose."

[0270] Step 6:

[0271] The server collects related information from the Infinite Encyclopedia database and reliable external databases based on the identified information.

[0272] Input: Identification information

[0273] Output: Related information (e.g. scientific name, flower language, how to grow, etc.)

[0274] Specific actions: In the case of "roses," collect information such as "The scientific name of roses is Rosa," "The flower's meaning is love and beauty," and "General methods of growing them."

[0275] Step 7:

[0276] The device's camera and microphone are used to collect the user's facial expressions and voice, which are then analyzed by emotion analysis means.

[0277] Input: User's facial expression data, voice data

[0278] Output: Emotional information

[0279] Specific operation: For example, if the user has a tired expression, the information is analyzed as "tired."

[0280] Step 8:

[0281] The server adjusts the format and content of the information it provides based on the emotional information.

[0282] Input: related information, emotional information

[0283] Output: Adjusted information

[0284] Specific behavior: If the user is tired, the server will summarize the information briefly or add a voice read-aloud function.

[0285] Step 9:

[0286] The collected information is then re-encrypted and sent to the device.

[0287] Input: Adjusted information

[0288] Output: Encrypted adjusted information

[0289] Specific operation: The organized information is again encrypted with AES-256 and sent to the terminal.

[0290] Step 10:

[0291] The terminal decodes the received data and displays it in a format that is easy for the user to understand.

[0292] Input: Encrypted adjusted information

[0293] Output: Information displayed to the user

[0294] Specific operation: Text information and related images are displayed on the screen, and audio is read out as needed.

[0295] (Application example 2)

[0296] 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."

[0297] Conventional production process and equipment monitoring systems lack the ability to monitor equipment status in real time and provide information that takes into account the emotional state of employees. This can lead to early detection of equipment failure signs, resulting in reduced production efficiency and safety. Furthermore, providing uniform information without considering the emotional state of employees can result in excess or deficiency of necessary information, preventing improvements in work efficiency.

[0298] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: an imaging means operated by a user toward an object; a compression and encryption means for compressing and encrypting image data acquired by the imaging means; a transmission means for transmitting the image data encrypted by the encryption means to the server; a reception means for receiving the image data transmitted by the transmission means; an analysis means for decrypting and analyzing the image data received by the reception means; an information collection means for collecting related information based on identification information obtained by the analysis means; an information display means for organizing the information obtained by the information collection means and providing it to the user; a monitoring means for monitoring the work environment and the status of equipment in real time; and an emotion recognition means for recognizing the user's emotion and adjusting information in accordance with the emotion. This enables detailed information to be provided in real time and optimal information to be delivered in accordance with the user's emotion.

[0299] The "photographing means" is a device that a user operates to point at an object to acquire image data.

[0300] The "compression and encryption means" refers to a device or software that has the function of compressing acquired image data and encrypting it using the AES-256 algorithm.

[0301] The "transmission means" is a device or software having a communication function for transmitting encrypted image data to a server.

[0302] The "receiving means" is a device or software that has a function for the server to receive the image data transmitted by the transmitting means.

[0303] "Analysis means" refers to a device or software that has the function of decoding received image data and analyzing it using a generative AI model.

[0304] The "information collection means" is a device or software that has the function of collecting related information based on the identification information obtained by the analysis means.

[0305] The "information display means" is a device or software having a display function for organizing the information obtained by the information collection means and providing it to the user.

[0306] "Monitoring means" refers to a device or software that has the function of monitoring the working environment and the state of equipment in real time.

[0307] The "emotion recognition means" is a device or software that has the function of recognizing the user's emotion and adjusting information in accordance with that emotion.

[0308] The "information optimization means" is a device or software that has the function of optimizing the information obtained by the analysis means based on the user's emotions and providing the information.

[0309] The present invention combines a system that provides detailed information on a specific object in real time with an emotion engine that recognizes the user's emotions. A specific example of this system will be described below.

[0310] The system of the present invention first uses the device's image capture means, which the user operates to point the device at an object. The image capture means is composed of a camera, and when the user operates the capture button while focusing on the object, the device's camera captures image data of the object. The captured image data is then processed by compression and encryption means within the device. Compression reduces the data size, and encryption uses the AES-256 algorithm to ensure data confidentiality.

[0311] The encrypted image data is sent to the server via the transmission means. On the server side, the image data is received by the receiving means and decrypted by the decryption means. Then, analysis of the image data is started using the analysis means. A generative AI model is used for the analysis, extracting the characteristics of the object and generating identification information. Based on this identification information, the server uses the information collection means to collect related information from relevant databases. This information includes basic information, characteristics, and related knowledge about the object.

[0312] Next, the emotion recognition means analyzes the user's emotions. This means uses the device's camera and microphone to analyze the user's facial expressions and voice to identify their emotional state. The results of the emotion analysis are sent to the server, which then adjusts the format and content of the information depending on the user's emotional state. For example, if the server determines that the user is tired, it can simplify the information or add a text-to-speech function. Conversely, if the user is excited, it can provide more detailed information or additional images to keep the user engaged.

[0313] The collected information is organized on the server side, re-encrypted, and sent to the device, where it is decrypted and optimized using information optimization tools and displayed in a user-friendly format, including text information, related images, and possibly audio reading.

[0314] As a concrete example, consider a robot installed on a factory production line that monitors a specific machine and photographs its condition. The robot captures images of the machine with its camera and sends them to a server. The server analyzes the images and determines the machine's performance status. Next, it recognizes the emotional state of the employee and provides a brief overview of the machine if it determines that the employee is tired. Conversely, if the employee is energetic, it provides detailed performance data and repair instructions.

[0315] Additionally, the server can use the following prompt statements for parsing:

[0316] Prompt statement:

[0317] "Analyze image data, recognize the state of the object, and obtain the results. Summarize the information succinctly according to the employee's emotional state, "fatigue."

[0318] In this way, the present invention can significantly improve production efficiency and safety in factories.

[0319] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0320] Step 1:

[0321] The user operates the device's camera to point the camera at a specific object and capture its image data. The input is the user's operation and the image of the object, and the output is the captured image data. This image data is saved in the device.

[0322] Step 2:

[0323] The device processes the captured image data using compression and encryption means. Specifically, the image data is reduced in size using a compression algorithm, and then encrypted using the AES-256 algorithm. The input is the captured image data, and the output is the compressed and encrypted image data.

[0324] Step 3:

[0325] The terminal uses a transmission means to transmit the encrypted image data to the server, where the input is the compressed and encrypted image data and the output is the data transmission to the server.

[0326] Step 4:

[0327] The server receives the encrypted image data sent from the terminal using the receiving means, with the input being the data sent from the terminal and the output being the received encrypted data.

[0328] Step 5:

[0329] The server uses a decryption means to decrypt the encrypted data and return it to analyzable image data, with the input being the encrypted data and the output being the decrypted image data.

[0330] Step 6:

[0331] The server uses an analysis means to analyze the decoded image data based on the generative AI model. This analysis extracts features within the image and generates identification information. The input is the decoded image data, and the output is the identification information.

[0332] Step 7:

[0333] The server uses the information collection means to collect related information from the Infinite Encyclopedia database and reliable external databases based on the generated identification information. The input is the identification information, and the output is the related information.

[0334] Step 8:

[0335] Using the device's camera and microphone, the emotion recognition means analyzes the user's facial expressions and voice to identify their emotional state. The input is the user's facial expressions and voice data, and the output is the emotion recognition results.

[0336] Step 9:

[0337] Based on the emotion recognition results, the server adjusts the collected related information according to the user's emotional state. For example, if the user is tired, it will provide concise information, and if the user is excited, it will provide detailed information. The input is the related information and the emotion recognition results, and the output is the adjusted information.

[0338] Step 10:

[0339] The server re-encrypts the adjusted information and sends it to the terminal. The input is the adjusted information, and the output is the encrypted information.

[0340] Step 11:

[0341] The terminal receives the encrypted data sent from the server using the receiving means and decrypts it using the decrypting means. The input is the encrypted data and the output is the decrypted information.

[0342] Step 12:

[0343] The device uses information optimization techniques to display information in a format that is easy for the user to understand (text information, related images, voice reading, etc.) The input is the decoded information and the output is the displayed information.

[0344] 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.

[0345] 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.

[0346] 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.

[0347] [Second embodiment]

[0348] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0349] 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.

[0350] 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).

[0351] 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.

[0352] 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.

[0353] 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).

[0354] 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.

[0355] 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.

[0356] 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.

[0357] 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.

[0358] 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.

[0359] 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."

[0360] The present invention is a system for providing detailed information on a specific object in real time. The operation of the system will be specifically described below.

[0361] First, the user takes a smartphone or small dedicated device and points the device's camera at the object they want to know about. The user launches the camera application, focuses on the object, and presses the capture button, which causes the device's camera to capture an image of the object.

[0362] The acquired image data is compressed and encrypted within the device. The compression process reduces the data size and enables efficient transfer, while the encryption process ensures data confidentiality. The encryption algorithm is AES-256, which is highly secure.

[0363] The compressed and encrypted image data is sent over the internet to a server, which then decrypts it and returns it to a format that can be analyzed. The server then uses a generative AI model to analyze the image, extract features from the image, and generate identification information.

[0364] Based on the generated identification information, the server collects related information from the Infinite Encyclopedia database and reliable external databases, including basic information, characteristics, and related knowledge of the object.

[0365] The collected information is organized in a user-friendly format, re-encrypted, and sent to the device, where it is decrypted and displayed in an easily understandable format to the user, including text information, related images, and possibly audio readings.

[0366] For example, if a user points their device at a rose in their garden, the device will take a picture of the rose and send it to the server. Image analysis on the server will identify it as a "rose," and related information such as "The scientific name of a rose is Rosa," "The flower's meaning is love and beauty," and "General methods for growing it" will be collected. This information will be organized and sent back to the device, where it will be displayed on the user's screen as "This flower is a rose."

[0367] As described above, the present invention is a system that provides detailed information about an object in real time, facilitating the acquisition of knowledge.

[0368] The processing flow will be explained below.

[0369] Step 1:

[0370] The user points the device at an object and operates it. When the user presses the "photo button," the device's camera takes a picture of the object. This image is temporarily saved in the device.

[0371] Step 2:

[0372] Image data acquired by the terminal is compressed. For example, it is converted to JPEG format to reduce the file size and make data transfer more efficient.

[0373] Step 3:

[0374] Encrypt the compressed image data. To ensure security, the image data is encrypted using the AES-256 algorithm.

[0375] Step 4:

[0376] The device sends the encrypted image data to the server using the HTTPS protocol, ensuring security during data transfer.

[0377] Step 5:

[0378] The server decrypts the received image data and returns the data to its original state using the encryption key used by the device.

[0379] Step 6:

[0380] The server inputs the decoded image data into a generative AI model for analysis. The generative AI model extracts features from the image and generates identification information. For example, it can identify an object based on features such as the shape and color of a flower.

[0381] Step 7:

[0382] The server collects relevant information based on the identified object, and searches and collects detailed information about the object from the Infinite Encyclopedia database and trusted external databases.

[0383] Step 8:

[0384] Organize the collected information in a format that is easy for users to understand, such as text information, related images, and, if necessary, audio information.

[0385] Step 9:

[0386] The server then re-encrypts the organized information and sends it to the device, again using the AES-256 algorithm.

[0387] Step 10:

[0388] The device decrypts the encrypted data it receives, converting the decrypted information into a readable format.

[0389] Step 11:

[0390] The device then displays the decrypted information to the user. Text information is displayed on the screen, associated images are provided visually, and in some cases, audio is read. For example, the visual information displayed may be, "This flower is a rose. Its scientific name is Rosa. Its language is love and beauty."

[0391] As a result, the user can obtain detailed information about the object in real time.

[0392] Example 1

[0393] 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."

[0394] Conventional information acquisition systems have had difficulty providing users with detailed information about objects in real time. Furthermore, confidentiality was often not ensured during the data transmission and reception process, creating security risks. Furthermore, the accuracy of image analysis was low, which could result in incorrect information being provided. There is a need to provide a system that can solve these issues and enable users to quickly and accurately obtain information about objects.

[0395] 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.

[0396] In this invention, the server includes an imaging means operated by a user toward an object, a compression and encryption means for compressing and encrypting image data acquired by the imaging means, a transmission means for transmitting the image data compressed and encrypted by the compression and encryption means to the server via a communication line, a receiving and decrypting means for receiving and decrypting the image data transmitted by the transmission means, an analysis means for analyzing the decrypted image data and extracting features, an information collection means for collecting related information based on the feature information obtained by the analysis means, an encryption and transmission means for organizing the information obtained by the information collection means, re-encrypting it, and transmitting it to a user terminal via a communication line, and a display means for receiving, decrypting, and displaying the re-encrypted information. This allows a user to accurately obtain detailed information about the object they have photographed in real time, while ensuring the confidentiality of the information.

[0397] The "photographing means" is a device that the user points at an object to capture an image.

[0398] A "compression and encryption means" is a device or program that compresses and encrypts image data to reduce the size of the captured image data and ensure data confidentiality.

[0399] The "transmission means" is a device or program that transmits compressed and encrypted image data to a server using a communication line.

[0400] The "receiving and decrypting means" is a device or program that receives the image data transmitted by the transmitting means and restores the encrypted data to its original state.

[0401] The "analysis means" is a device or program for analyzing the decoded image data and extracting features within the image.

[0402] The "information collection means" is a device or program that collects related information from an external database based on the characteristic information obtained by the analysis means.

[0403] The "encryption and transmission means" is a device or program that re-encrypts the information obtained by the information collection means and transmits it to the user terminal via a communication line.

[0404] A "display means" is a device or program that displays the decoded information in a format that is easily understandable to the user.

[0405] The present invention is a system that provides detailed information on specific objects in real time. This system operates by having a user acquire an image of the object using a terminal, sending the image data to a server for analysis, and returning the obtained information to the user.

[0406] Using a smartphone or dedicated small device, the user points the device's camera at the object of interest. The user launches the camera application, focuses on the object, and presses the capture button, and the device's camera captures an image of the object. The camera application can be, for example, the standard "Camera" app.

[0407] The captured image data is first compressed within the device using the JPEG compression algorithm to reduce the data size, and then encrypted using the AES-256 algorithm to ensure data confidentiality.

[0408] The compressed and encrypted image data is sent over the Internet to a server using an HTTP POST request, where it is decrypted using the AES-256 algorithm to restore the original image data.

[0409] The decoded image data is input into a generative AI model on the server. Examples of generative AI models that are used include YOLO (You Only Look Once) and Residual Networks (Residual Networks). This AI model extracts features within the image and identifies the object. The identified information is specified in a form such as "This flower is a rose."

[0410] The server collects related information from an external database (e.g., a database service API) based on the information of the identified object, including basic information, characteristics, and related knowledge of the object.

[0411] The collected information is organized into a user-friendly format, and the organized data is again encrypted using the AES-256 algorithm and sent to the device, again using an HTTP POST request.

[0412] The device receives the encrypted data, decrypts it, and displays it in a user-friendly format, including text information, related images, and possibly a text-to-speech function (such as the Google Text-to-Speech API).

[0413] As a concrete example, when a user points their device at a rose in their garden and takes a picture, the image is compressed, encrypted, and then sent to the server. The image is analyzed by the server and identified as a "rose," and information such as "The scientific name of roses is Rosa," "The flower's meaning is love and beauty," and "General methods for growing roses" are collected from an external database. This information is organized, re-encrypted, sent to the device, and displayed on the user's screen. The user can obtain detailed information such as "This flower is a rose."

[0414] An example of a prompt for the generative AI model is, "Please identify the object in the following image and provide relevant information." Based on this prompt, the server accurately analyzes the image and provides accurate information to the user.

[0415] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0416] Step 1:

[0417] The user uses the device's camera to capture an image of an object. When the user launches the camera application and presses the capture button while focusing on the object, the device's camera captures an image of the object (input data). This results in image data (output data).

[0418] Step 2:

[0419] The terminal compresses the acquired image data. This compression process uses the JPEG compression algorithm. Image data is input, and compressed image data (output data) is obtained with a reduced data size based on the compression process.

[0420] Step 3:

[0421] The terminal encrypts the compressed image data. This encryption process uses the AES-256 algorithm. The input is the compressed image data, and the encrypted image data (output data) is obtained based on the encryption process.

[0422] Step 4:

[0423] The device sends the encrypted image data to the server via the Internet. This transmission uses an HTTP POST request. The input is the encrypted image data, and by transmitting it, the data already sent to the server (output data) is obtained.

[0424] Step 5:

[0425] The server receives the encrypted image data and decrypts it. This decryption process also uses the AES-256 algorithm. The input is the encrypted image data, and the original image data (output data) is obtained based on the decryption process.

[0426] Step 6:

[0427] The server inputs the decoded image data into a generative AI model, which uses YOLO, ResNet, etc. The input is the decoded image data, and the feature information of the object (output data) is obtained based on the analysis of the generative AI model.

[0428] Step 7:

[0429] The server collects related information from an external database based on the feature information obtained from the generative AI model. The feature information is input, and related information (output data) is obtained based on a database query. The collected related information includes basic information, features, and related knowledge of the object.

[0430] Step 8:

[0431] The server organizes the collected relevant information into a user-friendly format and re-encrypts it, again using the AES-256 algorithm. The input is the relevant information, and the resulting encrypted information (output data) is based on the organization and encryption process.

[0432] Step 9:

[0433] The server sends the encrypted information to the terminal. This transmission also uses an HTTP POST request. The encrypted information is input, and by sending it, the data already sent to the terminal (output data) is obtained.

[0434] Step 10:

[0435] The terminal decrypts the received encrypted information and displays it to the user. The AES-256 algorithm is used again for decryption. The input is the encrypted information, and the original information (output data) is obtained based on the decryption. The decrypted information is displayed to the user in the form of text, image, sound, etc.

[0436] For example, when a user points their device at a rose in a garden and takes a picture, the image is compressed, encrypted, and then sent to a server. The image data is decrypted by the server and input into a generative AI model, which identifies it as a "rose." Based on this identification, information about the rose is collected from an external database. This information is organized, re-encrypted, and sent to the device, ultimately displaying the message "This flower is a rose" on the user's screen.

[0437] (Application example 1)

[0438] 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."

[0439] In today's brick-and-mortar stores, users lack the means to quickly and accurately obtain detailed product information. This leads to users making purchasing decisions based on insufficient information, resulting in lower customer satisfaction. Furthermore, face-to-face explanations by store clerks are time-consuming and inefficient. To address these issues, it is necessary to develop a system that allows users to obtain product information in real time using devices such as smartphones or smart glasses.

[0440] 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.

[0441] In this invention, the server includes an imaging means operated by a user toward an object, a compression and encryption means for compressing and encrypting image data acquired by the imaging means, a transmission means for transmitting the image data encrypted by the encryption means to the server, a reception means for receiving the image data transmitted by the transmission means, an analysis means for decrypting and analyzing the image data received by the reception means, an information collection means for collecting related information based on the identification information obtained by the analysis means, an information display means for organizing the information obtained by the information collection means and providing it to the user, and a product information provision means for the information display means to provide the user with information about products in the physical store in real time. This allows the user to obtain detailed information about products in the store in real time, making purchasing decisions easier and expected to improve customer satisfaction.

[0442] "User" refers to an individual or corporation that uses this system to obtain information about an object.

[0443] The term "object" refers to a specific product or object about which the user wishes to know information.

[0444] The "photography means" is a device with a camera function that is used by the user to photograph an object.

[0445] The "compression and encryption means" is a function that performs compression and encryption processes on captured image data to reduce the data size and ensure confidentiality.

[0446] The "transmission means" is a function for transmitting encrypted image data to a server.

[0447] The "receiving means" is a function by which the server receives the image data transmitted by the transmitting means.

[0448] "Decryption" is the process of restoring encrypted image data to its original form.

[0449] The "analysis means" is a function that analyzes the decoded image data and generates identification information of the object.

[0450] A "generative AI model" is an artificial intelligence model used to analyze images and generate related information.

[0451] "Identification information" is information obtained by the analysis means that is necessary for identifying and recognizing an object.

[0452] The "information collection means" is a function that collects related detailed information from an external database or the like based on the identification information.

[0453] The "information display means" is a function that provides collected information to the user in an easy-to-understand format.

[0454] The "product information providing means" is a function that allows users to obtain detailed information about products in real time in a physical store.

[0455] The present invention is a system for providing a user with information about an object in real time. The system includes an image capturing unit, a compression and encryption unit, a transmission unit, a reception unit, an analysis unit, an information collection unit, an information display unit, and a product information providing unit.

[0456] Hardware and software used

[0457] Hardware: Smartphones, smart glasses, head-mounted displays

[0458] Software: Mobile application (Swift, Kotlin), cloud server (AWS, Azure), image analysis model (TensorFlow), database (MySQL)

[0459] System processing flow

[0460] 1. Shooting and data compression / encryption

[0461] A user uses a photographing device such as a smartphone or smart glasses to photograph an object of interest, such as a product in a physical store (e.g., a wine bottle or a skin care product).

[0462] The captured image data is compressed inside the device and then encrypted using the AES-256 algorithm.

[0463] 2. Sending and Receiving Data

[0464] The encrypted image data is transmitted to the server using a transmitting means, and the server receives the image data using a receiving means.

[0465] 3. Data Decoding and Analysis

[0466] The server decodes the received image data and analyzes it using an analysis means, which uses a generative AI model to identify the object.

[0467] 4. Collection and display of related information

[0468] Based on the information identified by the analysis means, the information collection means collects related information from the Infinite Encyclopedia database and external databases. The collected information is organized, encrypted, and then transmitted to the terminal again.

[0469] The device decodes this information and displays it in a form that the user can easily understand, either as text, images, or audio.

[0470] Specific examples

[0471] To use the ShopHelper app in a brick-and-mortar store, users point their smartphone camera at a wine bottle, take a photo, and then type a prompt into the app, like this:

[0472] "Tell me more about this product"

[0473] What are the flavor characteristics of this wine?

[0474] "I want to know the ingredients in this skin care cream."

[0475] Based on this prompt, the server collects detailed information about the object and displays it to the user, allowing the user to obtain detailed information about the product in real time.

[0476] This system will significantly improve the user's shopping experience in physical stores, providing faster and more accurate information. As a specific example of its use, a user can take a photo of a wine bottle in a store and instantly check detailed information about the wine, such as its origin, grape variety, price, and taste.

[0477] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0478] Step 1:

[0479] A user takes a photograph of an object using a photographing means such as a smartphone or smart glasses. The input is image data captured through the camera, which contains visual information of the object.

[0480] Step 2:

[0481] The captured image data is processed by compression and encryption means within the device. The input is raw image data, and the output is compressed and AES-256 encrypted image data. Specifically, the image is compressed into JPEG format, and then the data is encrypted using an encryption algorithm.

[0482] Step 3:

[0483] The encrypted image data is sent to the server via a transmission means. The input is the encrypted image data, and the output is the data sent to the server. Specifically, the HTTPS protocol is used to securely send the data to the server.

[0484] Step 4:

[0485] The server receives the encrypted image data sent by the receiving means. The input is the encrypted image data received from the sending means, and the output is the received data. Specifically, the server's receiving API receives the data and prepares it for the next processing.

[0486] Step 5:

[0487] The server decrypts the received image data. The input is encrypted image data, and the output is decrypted image data. Specifically, the AES-256 algorithm is used to restore the data to its pre-encryption state.

[0488] Step 6:

[0489] The decoded image data is analyzed by an analysis means. The input is the decoded image data, and the output is the object's identification information. Specifically, a generative AI model (e.g., TensorFlow) is used to perform image analysis, extract the object's features, and generate the object's identification information.

[0490] Step 7:

[0491] The server collects related information based on the identification information using an information collection means. The input is the identification information, and the output is the collected related information. Specifically, the server collects data related to the identification information from the Infinite Encyclopedia database and external reliable databases.

[0492] Step 8:

[0493] The collected information is organized and encrypted by the server's information display means. The input is the collected related information, and the output is the encrypted organized information. Specifically, text, images, and, if necessary, audio data are appropriately organized and encrypted with AES-256.

[0494] Step 9:

[0495] The server sends the organized information to the terminal. The input is the encrypted organized information, and the output is the data to be sent to the terminal. Specifically, the data is sent back to the terminal using the HTTPS protocol.

[0496] Step 10:

[0497] The terminal decrypts the information it receives and displays it in a user-friendly format. The input is encrypted, organized information, and the output is displayed information. Specifically, it decrypts using AES-256 and displays the collected information as text, images, and sometimes audio.

[0498] This series of steps allows users to obtain detailed information about objects in real time while in a physical store. By entering prompt phrases (e.g., "Tell me more about this product" or "What are the taste characteristics of this wine?") into the app, the information the user wants to know is instantly displayed.

[0499] 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.

[0500] The present invention combines a system that provides detailed information on specific objects in real time with an emotion engine that recognizes the user's emotions. The operation of the system will be specifically described below.

[0501] First, the user holds a smartphone or dedicated small device and points the device's camera at the object they want to know about. The user launches the camera application, focuses on the object, and presses the capture button. The device's camera then takes a picture of the object. This image is temporarily saved on the device.

[0502] The acquired image data is compressed and encrypted within the device. The compression process reduces the data size and enables efficient transfer, while the encryption process ensures data confidentiality. The encryption algorithm is AES-256, which is highly secure.

[0503] The compressed and encrypted image data is sent to a server via the Internet. The server decrypts the received image data and returns it to an analyzable state. The server then analyzes the image using a generative AI model, extracts features within the image, and generates identification information. Based on the generated identification information, the server collects related information from the Infinite Encyclopedia database and reliable external databases. This information includes basic information, features, and related knowledge about the object.

[0504] Next, the emotion engine is activated to recognize the user's emotions. The emotion engine uses the device's camera and microphone to analyze emotions from the user's facial expressions and voice. The analysis results are sent to the server, which then adjusts the format and content of the information provided based on the emotion information.

[0505] For example, if the emotion engine determines that the user is tired, the server can simplify the information provided or add a text-to-speech function. Conversely, if the user is excited, the server can increase satisfaction by providing detailed information and more images.

[0506] The collected information is organized into a user-friendly format, re-encrypted, and sent to the device, where it is decrypted and displayed in a user-friendly format, including text information, related images, and possibly audio readings.

[0507] For example, if a user points a device at a rose in a garden, the device takes a picture of the rose and sends it to the server. Image analysis on the server identifies it as a "rose," and collects related information such as "The scientific name of a rose is Rosa," "The flower's meaning is love and beauty," and "General methods for growing it." This information is organized according to the user's emotional state and sent back to the device. The device displays the information on the screen and, if necessary, reads it aloud.

[0508] As described above, the present invention is a system that provides detailed information about an object in real time in an optimal format according to the emotional state of the user.

[0509] The processing flow will be explained below.

[0510] Step 1:

[0511] The user points the device at an object and operates it. When the user presses the "photo button," the device's camera takes an image of the object. This image is temporarily saved in the device.

[0512] Step 2:

[0513] The image data acquired by the terminal is compressed, for example, by converting it to JPEG format to reduce the data size, thereby enabling efficient data transfer.

[0514] Step 3:

[0515] Encrypt the compressed image data. Encrypt the image data using the AES-256 algorithm to ensure data confidentiality and security.

[0516] Step 4:

[0517] The device sends the encrypted image data to the server using the HTTPS protocol, ensuring security during data transfer.

[0518] Step 5:

[0519] The server decrypts the received image data and returns the data to its original state using the encryption key used on the device.

[0520] Step 6:

[0521] The server inputs the decoded image data into a generative AI model for analysis. The generative AI model extracts features from the image and generates identification information. For example, it can analyze the shape, color, and pattern of a flower to identify its type.

[0522] Step 7:

[0523] The server collects relevant information based on the identification information, and searches and collects detailed information about the object from the Infinite Encyclopedia database and trusted external databases.

[0524] Step 8:

[0525] The device's emotion engine analyzes the user's voice and facial expressions to recognize the user's current emotional state. The emotion engine uses the camera and microphone to capture data in real time.

[0526] Step 9:

[0527] The emotion engine transmits the acquired emotion data to the server, thereby transmitting the user's emotional state to the server.

[0528] Step 10:

[0529] The server receives emotional data and adjusts the format and content of the information it provides based on that data. For example, if it detects that the user is tired, it can simplify the information or add a voice readout function.

[0530] Step 11:

[0531] The organized information is encrypted and sent to the terminal. The server then encrypts the information again with the AES-256 algorithm and sends it securely.

[0532] Step 12:

[0533] The device decrypts the encrypted data it receives, converting the decrypted information into a readable format.

[0534] Step 13:

[0535] The device then displays the decrypted information to the user. Text information is displayed on the screen, associated images are provided visually, and in some cases, audio is read. For example, the visual information displayed may be, "This flower is a rose. Its scientific name is Rosa. Its language is love and beauty."

[0536] As a result, the user can obtain detailed information about the object in real time and in a format that matches the user's emotional state.

[0537] Example 2

[0538] 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."

[0539] In conventional systems, when a user obtains detailed information about a specific object in real time, the user's emotional state is not taken into consideration, which can result in the information provided being suboptimal for the user. Another problem is that security is not adequately ensured during the transmission and analysis of image data. The present invention aims to solve these problems and enable the provision of optimal information according to the user's emotional state.

[0540] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: an imaging means operated by a user toward an object; a compression and encryption means for compressing and encrypting image data acquired by the imaging means; a transmission means for transmitting the image data encrypted by the encryption means to the server; a reception means for receiving the image data transmitted by the transmission means; an analysis means for decrypting and analyzing the image data received by the reception means; an information collection means for collecting related information based on the identification information obtained by the analysis means; an information display means for organizing information based on the information obtained by the information collection means and the user's emotional information and providing the information to the user; an emotion analysis means for analyzing the user's facial expressions and voice to determine the emotional state; and an information adjustment means for adjusting the content of the information to be provided based on the emotional information obtained by the emotion analysis means. This makes it possible to provide appropriate information according to the user's emotional state.

[0541] The "photography means" is a device that the user operates to point at an object and capture images or videos.

[0542] The "compression and encryption means" is a function that compresses the acquired image data to reduce the data size, and further encrypts the data to ensure its confidentiality.

[0543] The "transmission means" is a function for transmitting compressed and encrypted image data to a server.

[0544] The "receiving means" is a function for receiving the image data transmitted by the transmitting means on the server side.

[0545] The "analysis means" is a function that decodes the image data received by the server, analyzes the features in the image using a generative AI model, and generates identification information.

[0546] The "information collection means" is a function that collects related information from a database or external source based on the identification information obtained by the analysis means.

[0547] The "information display means" is a function that organizes information based on collected information and user emotional information, and presents it in a format that is easy for the user to understand.

[0548] The "emotion analysis means" is a function that analyzes the user's facial expressions and voice to determine the user's emotional state.

[0549] The "information adjustment means" is a function that adjusts the content and format of the information to be provided based on the emotional information obtained by the emotional analysis means.

[0550] A "generative AI model" is an algorithm that uses machine learning to learn patterns and features from large amounts of data and analyze newly input data.

[0551] The "AES-256 algorithm" is an advanced encryption technology that uses a 256-bit key to encrypt and decrypt data.

[0552] The present invention is a system that allows a user to obtain detailed information about a specific object in real time, and further has the function of providing an appropriate information format depending on the user's emotional state.

[0553] First, the user points the camera at an object using a smartphone or dedicated small device. The user launches the camera application, focuses on the object, and presses the capture button. The camera takes an image of the object. This image data is temporarily stored on the device.

[0554] The device compresses and encrypts the stored image data. The compression process reduces the data size and allows for efficient data transfer. The encryption process uses the AES-256 algorithm to ensure data confidentiality. The compressed and encrypted image data is then sent to a server via the Internet.

[0555] The server decodes the received image data and returns it to an analyzable state. It then analyzes the image using a generative AI model, extracts features within the image, and generates identification information. Based on this identification information, the server collects related information from the Infinite Encyclopedia database and reliable external databases, including basic information, characteristics, and related knowledge of the object.

[0556] Next, an emotion analysis means is activated to recognize the user's emotions. This means uses the device's camera and microphone to analyze the user's facial expressions and voice to determine the user's emotional state. The analysis results are sent to the server, which then adjusts the format and content of the information provided based on the emotion information.

[0557] For example, if the emotion analysis means determines that the user is tired, the server can simplify the information provided or add a voice readout function. Conversely, if the user is excited, the server can increase satisfaction by providing detailed information and more images. The collected information is organized in a format that is easy for the user to understand, re-encrypted, and sent to the device. The device decrypts this data and displays it in a format that the user can easily understand. The display format can include text information, related images, and in some cases voice readout.

[0558] As a concrete example, let's say a user points their device at a rose in a garden and takes a picture. The image data of the rose taken by the device's camera is sent to a server, where it is identified as a "rose" through image analysis. Related information is then collected, such as "The scientific name of roses is Rosa," "The flower's meaning is love and beauty," and "General methods for growing roses." This information is organized according to the user's emotional state and sent back to the device. The device displays the information on the screen and, if necessary, reads it aloud.

[0559] An example prompt is:

[0560] "Provide information about a rose. Generate text detailing the rose's scientific name, flower language, and general care instructions. Be brief if the user is tired, or detailed if the user is excited."

[0561] In this way, the system of the present invention can provide optimal information in real time according to the user's emotional state.

[0562] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0563] Step 1:

[0564] The user captures an object with the camera, launches the camera application, focuses on the object, and presses the capture button.

[0565] Input: Actual object

[0566] Output: Captured image data

[0567] Specific operation: For example, if a user wants to take a picture of roses in a garden, he or she launches a camera app, points the camera at the roses, and presses the capture button when the focus is set.

[0568] Step 2:

[0569] The device internally compresses and encrypts the captured image data. The compression process reduces the data size, and the encryption process uses the AES-256 algorithm.

[0570] Input: Photographed image data

[0571] Output: Compressed and encrypted image data

[0572] Specific operation: The device compresses the acquired image data and encrypts it with AES-256 to reduce the data size while keeping it secure.

[0573] Step 3:

[0574] The compressed and encrypted image data is sent to a server over the Internet.

[0575] Input: Compressed and encrypted image data

[0576] Output: Image data sent to the server

[0577] Specific operation: The encoded image data is sent to the server using Wi-Fi or mobile data.

[0578] Step 4:

[0579] The server decodes the received image data and returns it to an analyzable state.

[0580] Input: Encrypted image data

[0581] Output: Decoded image data

[0582] Specific operation: The server decrypts the AES-256 encrypted data and returns it to an analyzable state.

[0583] Step 5:

[0584] The server uses the generated AI model to analyze the image, extract features within the image, and generate identification information.

[0585] Input: Decoded image data

[0586] Output: Identification information

[0587] Specific operation: Image analysis is performed using a generative AI model, and if the image is a rose, it is identified as a "rose."

[0588] Step 6:

[0589] The server collects related information from the Infinite Encyclopedia database and reliable external databases based on the identified information.

[0590] Input: Identification information

[0591] Output: Related information (e.g. scientific name, flower language, how to grow, etc.)

[0592] Specific actions: In the case of "roses," collect information such as "The scientific name of roses is Rosa," "The flower's meaning is love and beauty," and "General methods of growing them."

[0593] Step 7:

[0594] The device's camera and microphone are used to collect the user's facial expressions and voice, which are then analyzed by emotion analysis means.

[0595] Input: User's facial expression data, voice data

[0596] Output: Emotional information

[0597] Specific operation: For example, if the user has a tired expression, the information is analyzed as "tired."

[0598] Step 8:

[0599] The server adjusts the format and content of the information it provides based on the emotional information.

[0600] Input: related information, emotional information

[0601] Output: Adjusted information

[0602] Specific behavior: If the user is tired, the server will summarize the information briefly or add a voice read-aloud function.

[0603] Step 9:

[0604] The collected information is then re-encrypted and sent to the device.

[0605] Input: Adjusted information

[0606] Output: Encrypted adjusted information

[0607] Specific operation: The organized information is again encrypted with AES-256 and sent to the terminal.

[0608] Step 10:

[0609] The terminal decodes the received data and displays it in a format that is easy for the user to understand.

[0610] Input: Encrypted adjusted information

[0611] Output: Information displayed to the user

[0612] Specific operation: Text information and related images are displayed on the screen, and audio is read out as needed.

[0613] (Application example 2)

[0614] 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."

[0615] Conventional production process and equipment monitoring systems lack the ability to monitor equipment status in real time and provide information that takes into account the emotional state of employees. This can lead to early detection of equipment failure signs, resulting in reduced production efficiency and safety. Furthermore, providing uniform information without considering the emotional state of employees can result in excess or deficiency of necessary information, preventing improvements in work efficiency.

[0616] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: an imaging means operated by a user toward an object; a compression and encryption means for compressing and encrypting image data acquired by the imaging means; a transmission means for transmitting the image data encrypted by the encryption means to the server; a reception means for receiving the image data transmitted by the transmission means; an analysis means for decrypting and analyzing the image data received by the reception means; an information collection means for collecting related information based on identification information obtained by the analysis means; an information display means for organizing the information obtained by the information collection means and providing it to the user; a monitoring means for monitoring the work environment and the status of equipment in real time; and an emotion recognition means for recognizing the user's emotion and adjusting information in accordance with the emotion. This enables detailed information to be provided in real time and optimal information to be delivered in accordance with the user's emotion.

[0617] The "photographing means" is a device that a user operates to point at an object to acquire image data.

[0618] The "compression and encryption means" refers to a device or software that has the function of compressing acquired image data and encrypting it using the AES-256 algorithm.

[0619] The "transmission means" is a device or software having a communication function for transmitting encrypted image data to a server.

[0620] The "receiving means" is a device or software that has a function for the server to receive the image data transmitted by the transmitting means.

[0621] "Analysis means" refers to a device or software that has the function of decoding received image data and analyzing it using a generative AI model.

[0622] The "information collection means" is a device or software that has the function of collecting related information based on the identification information obtained by the analysis means.

[0623] The "information display means" is a device or software having a display function for organizing the information obtained by the information collection means and providing it to the user.

[0624] "Monitoring means" refers to a device or software that has the function of monitoring the working environment and the state of equipment in real time.

[0625] The "emotion recognition means" is a device or software that has the function of recognizing the user's emotion and adjusting information in accordance with that emotion.

[0626] The "information optimization means" is a device or software that has the function of optimizing the information obtained by the analysis means based on the user's emotions and providing the information.

[0627] The present invention combines a system that provides detailed information on a specific object in real time with an emotion engine that recognizes the user's emotions. A specific example of this system will be described below.

[0628] The system of the present invention first uses the device's image capture means, which the user operates to point the device at an object. The image capture means is composed of a camera, and when the user operates the capture button while focusing on the object, the device's camera captures image data of the object. The captured image data is then processed by compression and encryption means within the device. Compression reduces the data size, and encryption uses the AES-256 algorithm to ensure data confidentiality.

[0629] The encrypted image data is sent to the server via the transmission means. On the server side, the image data is received by the receiving means and decrypted by the decryption means. Then, analysis of the image data is started using the analysis means. A generative AI model is used for the analysis, extracting the characteristics of the object and generating identification information. Based on this identification information, the server uses the information collection means to collect related information from relevant databases. This information includes basic information, characteristics, and related knowledge about the object.

[0630] Next, the emotion recognition means analyzes the user's emotions. This means uses the device's camera and microphone to analyze the user's facial expressions and voice to identify their emotional state. The results of the emotion analysis are sent to the server, which then adjusts the format and content of the information depending on the user's emotional state. For example, if the server determines that the user is tired, it can simplify the information or add a text-to-speech function. Conversely, if the user is excited, it can provide more detailed information or additional images to keep the user engaged.

[0631] The collected information is organized on the server side, re-encrypted, and sent to the device, where it is decrypted and optimized using information optimization tools and displayed in a user-friendly format, including text information, related images, and possibly audio reading.

[0632] As a concrete example, consider a robot installed on a factory production line that monitors a specific machine and photographs its condition. The robot captures images of the machine with its camera and sends them to a server. The server analyzes the images and determines the machine's performance status. Next, it recognizes the emotional state of the employee and provides a brief overview of the machine if it determines that the employee is tired. Conversely, if the employee is energetic, it provides detailed performance data and repair instructions.

[0633] Additionally, the server can use the following prompt statements for parsing:

[0634] Prompt statement:

[0635] "Analyze image data, recognize the state of the object, and obtain the results. Summarize the information succinctly according to the employee's emotional state, "fatigue."

[0636] In this way, the present invention can significantly improve production efficiency and safety in factories.

[0637] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0638] Step 1:

[0639] The user operates the device's camera to point the camera at a specific object and capture its image data. The input is the user's operation and the image of the object, and the output is the captured image data. This image data is saved in the device.

[0640] Step 2:

[0641] The device processes the captured image data using compression and encryption means. Specifically, the image data is reduced in size using a compression algorithm, and then encrypted using the AES-256 algorithm. The input is the captured image data, and the output is the compressed and encrypted image data.

[0642] Step 3:

[0643] The terminal uses a transmission means to transmit the encrypted image data to the server, where the input is the compressed and encrypted image data and the output is the data transmission to the server.

[0644] Step 4:

[0645] The server receives the encrypted image data sent from the terminal using the receiving means, with the input being the data sent from the terminal and the output being the received encrypted data.

[0646] Step 5:

[0647] The server uses a decryption means to decrypt the encrypted data and return it to analyzable image data, with the input being the encrypted data and the output being the decrypted image data.

[0648] Step 6:

[0649] The server uses an analysis means to analyze the decoded image data based on the generative AI model. This analysis extracts features within the image and generates identification information. The input is the decoded image data, and the output is the identification information.

[0650] Step 7:

[0651] The server uses the information collection means to collect related information from the Infinite Encyclopedia database and reliable external databases based on the generated identification information. The input is the identification information, and the output is the related information.

[0652] Step 8:

[0653] Using the device's camera and microphone, the emotion recognition means analyzes the user's facial expressions and voice to identify their emotional state. The input is the user's facial expressions and voice data, and the output is the emotion recognition results.

[0654] Step 9:

[0655] Based on the emotion recognition results, the server adjusts the collected related information according to the user's emotional state. For example, if the user is tired, it will provide concise information, and if the user is excited, it will provide detailed information. The input is the related information and the emotion recognition results, and the output is the adjusted information.

[0656] Step 10:

[0657] The server re-encrypts the adjusted information and sends it to the terminal. The input is the adjusted information, and the output is the encrypted information.

[0658] Step 11:

[0659] The terminal receives the encrypted data sent from the server using the receiving means and decrypts it using the decrypting means. The input is the encrypted data and the output is the decrypted information.

[0660] Step 12:

[0661] The device uses information optimization techniques to display information in a format that is easy for the user to understand (text information, related images, voice reading, etc.) The input is the decoded information and the output is the displayed information.

[0662] 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.

[0663] 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.

[0664] 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.

[0665] [Third embodiment]

[0666] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0667] 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.

[0668] 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).

[0669] 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.

[0670] 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.

[0671] 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).

[0672] 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.

[0673] 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.

[0674] 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.

[0675] 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.

[0676] 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.

[0677] 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."

[0678] The present invention is a system for providing detailed information on a specific object in real time. The operation of the system will be specifically described below.

[0679] First, the user takes a smartphone or small dedicated device and points the device's camera at the object they want to know about. The user launches the camera application, focuses on the object, and presses the capture button, which causes the device's camera to capture an image of the object.

[0680] The acquired image data is compressed and encrypted within the device. The compression process reduces the data size and enables efficient transfer, while the encryption process ensures data confidentiality. The encryption algorithm is AES-256, which is highly secure.

[0681] The compressed and encrypted image data is sent over the internet to a server, which then decrypts it and returns it to a format that can be analyzed. The server then uses a generative AI model to analyze the image, extract features from the image, and generate identification information.

[0682] Based on the generated identification information, the server collects related information from the Infinite Encyclopedia database and reliable external databases, including basic information, characteristics, and related knowledge of the object.

[0683] The collected information is organized in a user-friendly format, re-encrypted, and sent to the device, where it is decrypted and displayed in an easily understandable format to the user, including text information, related images, and possibly audio readings.

[0684] For example, if a user points their device at a rose in their garden, the device will take a picture of the rose and send it to the server. Image analysis on the server will identify it as a "rose," and related information such as "The scientific name of a rose is Rosa," "The flower's meaning is love and beauty," and "General methods for growing it" will be collected. This information will be organized and sent back to the device, where it will be displayed on the user's screen as "This flower is a rose."

[0685] As described above, the present invention is a system that provides detailed information about an object in real time, facilitating the acquisition of knowledge.

[0686] The processing flow will be explained below.

[0687] Step 1:

[0688] The user points the device at an object and operates it. When the user presses the "photo button," the device's camera takes a picture of the object. This image is temporarily saved in the device.

[0689] Step 2:

[0690] Image data acquired by the terminal is compressed. For example, it is converted to JPEG format to reduce the file size and make data transfer more efficient.

[0691] Step 3:

[0692] Encrypt the compressed image data. To ensure security, the image data is encrypted using the AES-256 algorithm.

[0693] Step 4:

[0694] The device sends the encrypted image data to the server using the HTTPS protocol, ensuring security during data transfer.

[0695] Step 5:

[0696] The server decrypts the received image data and returns the data to its original state using the encryption key used by the device.

[0697] Step 6:

[0698] The server inputs the decoded image data into a generative AI model for analysis. The generative AI model extracts features from the image and generates identification information. For example, it can identify an object based on features such as the shape and color of a flower.

[0699] Step 7:

[0700] The server collects relevant information based on the identified object, and searches and collects detailed information about the object from the Infinite Encyclopedia database and trusted external databases.

[0701] Step 8:

[0702] Organize the collected information in a format that is easy for users to understand, such as text information, related images, and, if necessary, audio information.

[0703] Step 9:

[0704] The server then re-encrypts the organized information and sends it to the device, again using the AES-256 algorithm.

[0705] Step 10:

[0706] The device decrypts the encrypted data it receives, converting the decrypted information into a readable format.

[0707] Step 11:

[0708] The device then displays the decrypted information to the user. Text information is displayed on the screen, associated images are provided visually, and in some cases, audio is read. For example, the visual information displayed may be, "This flower is a rose. Its scientific name is Rosa. Its language is love and beauty."

[0709] As a result, the user can obtain detailed information about the object in real time.

[0710] Example 1

[0711] 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."

[0712] Conventional information acquisition systems have had difficulty providing users with detailed information about objects in real time. Furthermore, confidentiality was often not ensured during the data transmission and reception process, creating security risks. Furthermore, the accuracy of image analysis was low, which could result in incorrect information being provided. There is a need to provide a system that can solve these issues and enable users to quickly and accurately obtain information about objects.

[0713] 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.

[0714] In this invention, the server includes an imaging means operated by a user toward an object, a compression and encryption means for compressing and encrypting image data acquired by the imaging means, a transmission means for transmitting the image data compressed and encrypted by the compression and encryption means to the server via a communication line, a receiving and decrypting means for receiving and decrypting the image data transmitted by the transmission means, an analysis means for analyzing the decrypted image data and extracting features, an information collection means for collecting related information based on the feature information obtained by the analysis means, an encryption and transmission means for organizing the information obtained by the information collection means, re-encrypting it, and transmitting it to a user terminal via a communication line, and a display means for receiving, decrypting, and displaying the re-encrypted information. This allows a user to accurately obtain detailed information about the object they have photographed in real time, while ensuring the confidentiality of the information.

[0715] The "photographing means" is a device that the user points at an object to capture an image.

[0716] A "compression and encryption means" is a device or program that compresses and encrypts image data to reduce the size of the captured image data and ensure data confidentiality.

[0717] The "transmission means" is a device or program that transmits compressed and encrypted image data to a server using a communication line.

[0718] The "receiving and decrypting means" is a device or program that receives the image data transmitted by the transmitting means and restores the encrypted data to its original state.

[0719] The "analysis means" is a device or program for analyzing the decoded image data and extracting features within the image.

[0720] The "information collection means" is a device or program that collects related information from an external database based on the characteristic information obtained by the analysis means.

[0721] The "encryption and transmission means" is a device or program that re-encrypts the information obtained by the information collection means and transmits it to the user terminal via a communication line.

[0722] A "display means" is a device or program that displays the decoded information in a format that is easily understandable to the user.

[0723] The present invention is a system that provides detailed information on specific objects in real time. This system operates by having a user acquire an image of the object using a terminal, sending the image data to a server for analysis, and returning the obtained information to the user.

[0724] Using a smartphone or dedicated small device, the user points the device's camera at the object of interest. The user launches the camera application, focuses on the object, and presses the capture button, and the device's camera captures an image of the object. The camera application can be, for example, the standard "Camera" app.

[0725] The captured image data is first compressed within the device using the JPEG compression algorithm to reduce the data size, and then encrypted using the AES-256 algorithm to ensure data confidentiality.

[0726] The compressed and encrypted image data is sent over the Internet to a server using an HTTP POST request, where it is decrypted using the AES-256 algorithm to restore the original image data.

[0727] The decoded image data is input into a generative AI model on the server. Examples of generative AI models that are used include YOLO (You Only Look Once) and Residual Networks (Residual Networks). This AI model extracts features within the image and identifies the object. The identified information is specified in a form such as "This flower is a rose."

[0728] The server collects related information from an external database (e.g., a database service API) based on the information of the identified object, including basic information, characteristics, and related knowledge of the object.

[0729] The collected information is organized into a user-friendly format, and the organized data is again encrypted using the AES-256 algorithm and sent to the device, again using an HTTP POST request.

[0730] The device receives the encrypted data, decrypts it, and displays it in a user-friendly format, including text information, related images, and possibly a text-to-speech function (such as the Google Text-to-Speech API).

[0731] As a concrete example, when a user points their device at a rose in their garden and takes a picture, the image is compressed, encrypted, and then sent to the server. The image is analyzed by the server and identified as a "rose," and information such as "The scientific name of roses is Rosa," "The flower's meaning is love and beauty," and "General methods for growing roses" are collected from an external database. This information is organized, re-encrypted, sent to the device, and displayed on the user's screen. The user can obtain detailed information such as "This flower is a rose."

[0732] An example of a prompt for the generative AI model is, "Please identify the object in the following image and provide relevant information." Based on this prompt, the server accurately analyzes the image and provides accurate information to the user.

[0733] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0734] Step 1:

[0735] The user uses the device's camera to capture an image of an object. When the user launches the camera application and presses the capture button while focusing on the object, the device's camera captures an image of the object (input data). This results in image data (output data).

[0736] Step 2:

[0737] The terminal compresses the acquired image data. This compression process uses the JPEG compression algorithm. Image data is input, and compressed image data (output data) is obtained with a reduced data size based on the compression process.

[0738] Step 3:

[0739] The terminal encrypts the compressed image data. This encryption process uses the AES-256 algorithm. The input is the compressed image data, and the encrypted image data (output data) is obtained based on the encryption process.

[0740] Step 4:

[0741] The device sends the encrypted image data to the server via the Internet. This transmission uses an HTTP POST request. The input is the encrypted image data, and by transmitting it, the data already sent to the server (output data) is obtained.

[0742] Step 5:

[0743] The server receives the encrypted image data and decrypts it. This decryption process also uses the AES-256 algorithm. The input is the encrypted image data, and the original image data (output data) is obtained based on the decryption process.

[0744] Step 6:

[0745] The server inputs the decoded image data into a generative AI model, which uses YOLO, ResNet, etc. The input is the decoded image data, and the feature information of the object (output data) is obtained based on the analysis of the generative AI model.

[0746] Step 7:

[0747] The server collects related information from an external database based on the feature information obtained from the generative AI model. The feature information is input, and related information (output data) is obtained based on a database query. The collected related information includes basic information, features, and related knowledge of the object.

[0748] Step 8:

[0749] The server organizes the collected relevant information into a user-friendly format and re-encrypts it, again using the AES-256 algorithm. The input is the relevant information, and the resulting encrypted information (output data) is based on the organization and encryption process.

[0750] Step 9:

[0751] The server sends the encrypted information to the terminal. This transmission also uses an HTTP POST request. The encrypted information is input, and by sending it, the data already sent to the terminal (output data) is obtained.

[0752] Step 10:

[0753] The terminal decrypts the received encrypted information and displays it to the user. The AES-256 algorithm is used again for decryption. The input is the encrypted information, and the original information (output data) is obtained based on the decryption. The decrypted information is displayed to the user in the form of text, image, sound, etc.

[0754] For example, when a user points their device at a rose in a garden and takes a picture, the image is compressed, encrypted, and then sent to a server. The image data is decrypted by the server and input into a generative AI model, which identifies it as a "rose." Based on this identification, information about the rose is collected from an external database. This information is organized, re-encrypted, and sent to the device, ultimately displaying the message "This flower is a rose" on the user's screen.

[0755] (Application example 1)

[0756] 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."

[0757] In today's brick-and-mortar stores, users lack the means to quickly and accurately obtain detailed product information. This leads to users making purchasing decisions based on insufficient information, resulting in lower customer satisfaction. Furthermore, face-to-face explanations by store clerks are time-consuming and inefficient. To address these issues, it is necessary to develop a system that allows users to obtain product information in real time using devices such as smartphones or smart glasses.

[0758] 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.

[0759] In this invention, the server includes an imaging means operated by a user toward an object, a compression and encryption means for compressing and encrypting image data acquired by the imaging means, a transmission means for transmitting the image data encrypted by the encryption means to the server, a reception means for receiving the image data transmitted by the transmission means, an analysis means for decrypting and analyzing the image data received by the reception means, an information collection means for collecting related information based on the identification information obtained by the analysis means, an information display means for organizing the information obtained by the information collection means and providing it to the user, and a product information provision means for the information display means to provide the user with information about products in the physical store in real time. This allows the user to obtain detailed information about products in the store in real time, making purchasing decisions easier and expected to improve customer satisfaction.

[0760] "User" refers to an individual or corporation that uses this system to obtain information about an object.

[0761] The term "object" refers to a specific product or object about which the user wishes to know information.

[0762] The "photography means" is a device with a camera function that is used by the user to photograph an object.

[0763] The "compression and encryption means" is a function that performs compression and encryption processes on captured image data to reduce the data size and ensure confidentiality.

[0764] The "transmission means" is a function for transmitting encrypted image data to a server.

[0765] The "receiving means" is a function by which the server receives the image data transmitted by the transmitting means.

[0766] "Decryption" is the process of restoring encrypted image data to its original form.

[0767] The "analysis means" is a function that analyzes the decoded image data and generates identification information of the object.

[0768] A "generative AI model" is an artificial intelligence model used to analyze images and generate related information.

[0769] "Identification information" is information obtained by the analysis means that is necessary for identifying and recognizing an object.

[0770] The "information collection means" is a function that collects related detailed information from an external database or the like based on the identification information.

[0771] The "information display means" is a function that provides collected information to the user in an easy-to-understand format.

[0772] The "product information providing means" is a function that allows users to obtain detailed information about products in real time in a physical store.

[0773] The present invention is a system for providing a user with information about an object in real time. The system includes an image capturing unit, a compression and encryption unit, a transmission unit, a reception unit, an analysis unit, an information collection unit, an information display unit, and a product information providing unit.

[0774] Hardware and software used

[0775] Hardware: Smartphones, smart glasses, head-mounted displays

[0776] Software: Mobile application (Swift, Kotlin), cloud server (AWS, Azure), image analysis model (TensorFlow), database (MySQL)

[0777] System processing flow

[0778] 1. Shooting and data compression / encryption

[0779] A user uses a photographing device such as a smartphone or smart glasses to photograph an object of interest, such as a product in a physical store (e.g., a wine bottle or a skin care product).

[0780] The captured image data is compressed inside the device and then encrypted using the AES-256 algorithm.

[0781] 2. Sending and Receiving Data

[0782] The encrypted image data is transmitted to the server using a transmitting means, and the server receives the image data using a receiving means.

[0783] 3. Data Decoding and Analysis

[0784] The server decodes the received image data and analyzes it using an analysis means, which uses a generative AI model to identify the object.

[0785] 4. Collection and display of related information

[0786] Based on the information identified by the analysis means, the information collection means collects related information from the Infinite Encyclopedia database and external databases. The collected information is organized, encrypted, and then transmitted to the terminal again.

[0787] The device decodes this information and displays it in a form that the user can easily understand, either as text, images, or audio.

[0788] Specific examples

[0789] To use the ShopHelper app in a brick-and-mortar store, users point their smartphone camera at a wine bottle, take a photo, and then type a prompt into the app, like this:

[0790] "Tell me more about this product"

[0791] What are the flavor characteristics of this wine?

[0792] "I want to know the ingredients in this skin care cream."

[0793] Based on this prompt, the server collects detailed information about the object and displays it to the user, allowing the user to obtain detailed information about the product in real time.

[0794] This system will significantly improve the user's shopping experience in physical stores, providing faster and more accurate information. As a specific example of its use, a user can take a photo of a wine bottle in a store and instantly check detailed information about the wine, such as its origin, grape variety, price, and taste.

[0795] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0796] Step 1:

[0797] A user takes a photograph of an object using a photographing means such as a smartphone or smart glasses. The input is image data captured through the camera, which contains visual information of the object.

[0798] Step 2:

[0799] The captured image data is processed by compression and encryption means within the device. The input is raw image data, and the output is compressed and AES-256 encrypted image data. Specifically, the image is compressed into JPEG format, and then the data is encrypted using an encryption algorithm.

[0800] Step 3:

[0801] The encrypted image data is sent to the server via a transmission means. The input is the encrypted image data, and the output is the data sent to the server. Specifically, the HTTPS protocol is used to securely send the data to the server.

[0802] Step 4:

[0803] The server receives the encrypted image data sent by the receiving means. The input is the encrypted image data received from the sending means, and the output is the received data. Specifically, the server's receiving API receives the data and prepares it for the next processing.

[0804] Step 5:

[0805] The server decrypts the received image data. The input is encrypted image data, and the output is decrypted image data. Specifically, the AES-256 algorithm is used to restore the data to its pre-encryption state.

[0806] Step 6:

[0807] The decoded image data is analyzed by an analysis means. The input is the decoded image data, and the output is the object's identification information. Specifically, a generative AI model (e.g., TensorFlow) is used to perform image analysis, extract the object's features, and generate the object's identification information.

[0808] Step 7:

[0809] The server collects related information based on the identification information using an information collection means. The input is the identification information, and the output is the collected related information. Specifically, the server collects data related to the identification information from the Infinite Encyclopedia database and external reliable databases.

[0810] Step 8:

[0811] The collected information is organized and encrypted by the server's information display means. The input is the collected related information, and the output is the encrypted organized information. Specifically, text, images, and, if necessary, audio data are appropriately organized and encrypted with AES-256.

[0812] Step 9:

[0813] The server sends the organized information to the terminal. The input is the encrypted organized information, and the output is the data to be sent to the terminal. Specifically, the data is sent back to the terminal using the HTTPS protocol.

[0814] Step 10:

[0815] The terminal decrypts the information it receives and displays it in a user-friendly format. The input is encrypted, organized information, and the output is displayed information. Specifically, it decrypts using AES-256 and displays the collected information as text, images, and sometimes audio.

[0816] This series of steps allows users to obtain detailed information about objects in real time while in a physical store. By entering prompt phrases (e.g., "Tell me more about this product" or "What are the taste characteristics of this wine?") into the app, the information the user wants to know is instantly displayed.

[0817] 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.

[0818] The present invention combines a system that provides detailed information on specific objects in real time with an emotion engine that recognizes the user's emotions. The operation of the system will be specifically described below.

[0819] First, the user holds a smartphone or dedicated small device and points the device's camera at the object they want to know about. The user launches the camera application, focuses on the object, and presses the capture button. The device's camera then takes a picture of the object. This image is temporarily saved on the device.

[0820] The acquired image data is compressed and encrypted within the device. The compression process reduces the data size and enables efficient transfer, while the encryption process ensures data confidentiality. The encryption algorithm is AES-256, which is highly secure.

[0821] The compressed and encrypted image data is sent to a server via the Internet. The server decrypts the received image data and returns it to an analyzable state. The server then analyzes the image using a generative AI model, extracts features within the image, and generates identification information. Based on the generated identification information, the server collects related information from the Infinite Encyclopedia database and reliable external databases. This information includes basic information, features, and related knowledge about the object.

[0822] Next, the emotion engine is activated to recognize the user's emotions. The emotion engine uses the device's camera and microphone to analyze emotions from the user's facial expressions and voice. The analysis results are sent to the server, which then adjusts the format and content of the information provided based on the emotion information.

[0823] For example, if the emotion engine determines that the user is tired, the server can simplify the information provided or add a text-to-speech function. Conversely, if the user is excited, the server can increase satisfaction by providing detailed information and more images.

[0824] The collected information is organized into a user-friendly format, re-encrypted, and sent to the device, where it is decrypted and displayed in a user-friendly format, including text information, related images, and possibly audio readings.

[0825] For example, if a user points a device at a rose in a garden, the device takes a picture of the rose and sends it to the server. Image analysis on the server identifies it as a "rose," and collects related information such as "The scientific name of a rose is Rosa," "The flower's meaning is love and beauty," and "General methods for growing it." This information is organized according to the user's emotional state and sent back to the device. The device displays the information on the screen and, if necessary, reads it aloud.

[0826] As described above, the present invention is a system that provides detailed information about an object in real time in an optimal format according to the emotional state of the user.

[0827] The processing flow will be explained below.

[0828] Step 1:

[0829] The user points the device at an object and operates it. When the user presses the "photo button," the device's camera takes an image of the object. This image is temporarily saved in the device.

[0830] Step 2:

[0831] The image data acquired by the terminal is compressed, for example, by converting it to JPEG format to reduce the data size, thereby enabling efficient data transfer.

[0832] Step 3:

[0833] Encrypt the compressed image data. Encrypt the image data using the AES-256 algorithm to ensure data confidentiality and security.

[0834] Step 4:

[0835] The device sends the encrypted image data to the server using the HTTPS protocol, ensuring security during data transfer.

[0836] Step 5:

[0837] The server decrypts the received image data and returns the data to its original state using the encryption key used on the device.

[0838] Step 6:

[0839] The server inputs the decoded image data into a generative AI model for analysis. The generative AI model extracts features from the image and generates identification information. For example, it can analyze the shape, color, and pattern of a flower to identify its type.

[0840] Step 7:

[0841] The server collects relevant information based on the identification information, and searches and collects detailed information about the object from the Infinite Encyclopedia database and trusted external databases.

[0842] Step 8:

[0843] The device's emotion engine analyzes the user's voice and facial expressions to recognize the user's current emotional state. The emotion engine uses the camera and microphone to capture data in real time.

[0844] Step 9:

[0845] The emotion engine transmits the acquired emotion data to the server, thereby transmitting the user's emotional state to the server.

[0846] Step 10:

[0847] The server receives emotional data and adjusts the format and content of the information it provides based on that data. For example, if it detects that the user is tired, it can simplify the information or add a voice readout function.

[0848] Step 11:

[0849] The organized information is encrypted and sent to the terminal. The server then encrypts the information again with the AES-256 algorithm and sends it securely.

[0850] Step 12:

[0851] The device decrypts the encrypted data it receives, converting the decrypted information into a readable format.

[0852] Step 13:

[0853] The device then displays the decrypted information to the user. Text information is displayed on the screen, associated images are provided visually, and in some cases, audio is read. For example, the visual information displayed may be, "This flower is a rose. Its scientific name is Rosa. Its language is love and beauty."

[0854] As a result, the user can obtain detailed information about the object in real time and in a format that matches the user's emotional state.

[0855] Example 2

[0856] 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."

[0857] In conventional systems, when a user obtains detailed information about a specific object in real time, the user's emotional state is not taken into consideration, which can result in the information provided being suboptimal for the user. Another problem is that security is not adequately ensured during the transmission and analysis of image data. The present invention aims to solve these problems and enable the provision of optimal information according to the user's emotional state.

[0858] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: an imaging means operated by a user toward an object; a compression and encryption means for compressing and encrypting image data acquired by the imaging means; a transmission means for transmitting the image data encrypted by the encryption means to the server; a reception means for receiving the image data transmitted by the transmission means; an analysis means for decrypting and analyzing the image data received by the reception means; an information collection means for collecting related information based on the identification information obtained by the analysis means; an information display means for organizing information based on the information obtained by the information collection means and the user's emotional information and providing the information to the user; an emotion analysis means for analyzing the user's facial expressions and voice to determine the emotional state; and an information adjustment means for adjusting the content of the information to be provided based on the emotional information obtained by the emotion analysis means. This makes it possible to provide appropriate information according to the user's emotional state.

[0859] The "photography means" is a device that the user operates to point at an object and capture images or videos.

[0860] The "compression and encryption means" is a function that compresses the acquired image data to reduce the data size, and further encrypts the data to ensure its confidentiality.

[0861] The "transmission means" is a function for transmitting compressed and encrypted image data to a server.

[0862] The "receiving means" is a function for receiving the image data transmitted by the transmitting means on the server side.

[0863] The "analysis means" is a function that decodes the image data received by the server, analyzes the features in the image using a generative AI model, and generates identification information.

[0864] The "information collection means" is a function that collects related information from a database or external source based on the identification information obtained by the analysis means.

[0865] The "information display means" is a function that organizes information based on collected information and user emotional information, and presents it in a format that is easy for the user to understand.

[0866] The "emotion analysis means" is a function that analyzes the user's facial expressions and voice to determine the user's emotional state.

[0867] The "information adjustment means" is a function that adjusts the content and format of the information to be provided based on the emotional information obtained by the emotional analysis means.

[0868] A "generative AI model" is an algorithm that uses machine learning to learn patterns and features from large amounts of data and analyze newly input data.

[0869] The "AES-256 algorithm" is an advanced encryption technology that uses a 256-bit key to encrypt and decrypt data.

[0870] The present invention is a system that allows a user to obtain detailed information about a specific object in real time, and further has the function of providing an appropriate information format depending on the user's emotional state.

[0871] First, the user points the camera at an object using a smartphone or dedicated small device. The user launches the camera application, focuses on the object, and presses the capture button. The camera takes an image of the object. This image data is temporarily stored on the device.

[0872] The device compresses and encrypts the stored image data. The compression process reduces the data size and allows for efficient data transfer. The encryption process uses the AES-256 algorithm to ensure data confidentiality. The compressed and encrypted image data is then sent to a server via the Internet.

[0873] The server decodes the received image data and returns it to an analyzable state. It then analyzes the image using a generative AI model, extracts features within the image, and generates identification information. Based on this identification information, the server collects related information from the Infinite Encyclopedia database and reliable external databases, including basic information, characteristics, and related knowledge of the object.

[0874] Next, an emotion analysis means is activated to recognize the user's emotions. This means uses the device's camera and microphone to analyze the user's facial expressions and voice to determine the user's emotional state. The analysis results are sent to the server, which then adjusts the format and content of the information provided based on the emotion information.

[0875] For example, if the emotion analysis means determines that the user is tired, the server can simplify the information provided or add a voice readout function. Conversely, if the user is excited, the server can increase satisfaction by providing detailed information and more images. The collected information is organized in a format that is easy for the user to understand, re-encrypted, and sent to the device. The device decrypts this data and displays it in a format that the user can easily understand. The display format can include text information, related images, and in some cases voice readout.

[0876] As a concrete example, let's say a user points their device at a rose in a garden and takes a picture. The image data of the rose taken by the device's camera is sent to a server, where it is identified as a "rose" through image analysis. Related information is then collected, such as "The scientific name of roses is Rosa," "The flower's meaning is love and beauty," and "General methods for growing roses." This information is organized according to the user's emotional state and sent back to the device. The device displays the information on the screen and, if necessary, reads it aloud.

[0877] An example prompt is:

[0878] "Provide information about a rose. Generate text detailing the rose's scientific name, flower language, and general care instructions. Be brief if the user is tired, or detailed if the user is excited."

[0879] In this way, the system of the present invention can provide optimal information in real time according to the user's emotional state.

[0880] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0881] Step 1:

[0882] The user captures an object with the camera, launches the camera application, focuses on the object, and presses the capture button.

[0883] Input: Actual object

[0884] Output: Captured image data

[0885] Specific operation: For example, if a user wants to take a picture of roses in a garden, he or she launches a camera app, points the camera at the roses, and presses the capture button when the focus is set.

[0886] Step 2:

[0887] The device internally compresses and encrypts the captured image data. The compression process reduces the data size, and the encryption process uses the AES-256 algorithm.

[0888] Input: Photographed image data

[0889] Output: Compressed and encrypted image data

[0890] Specific operation: The device compresses the acquired image data and encrypts it with AES-256 to reduce the data size while keeping it secure.

[0891] Step 3:

[0892] The compressed and encrypted image data is sent to a server over the Internet.

[0893] Input: Compressed and encrypted image data

[0894] Output: Image data sent to the server

[0895] Specific operation: The encoded image data is sent to the server using Wi-Fi or mobile data.

[0896] Step 4:

[0897] The server decodes the received image data and returns it to an analyzable state.

[0898] Input: Encrypted image data

[0899] Output: Decoded image data

[0900] Specific operation: The server decrypts the AES-256 encrypted data and returns it to an analyzable state.

[0901] Step 5:

[0902] The server uses the generated AI model to analyze the image, extract features within the image, and generate identification information.

[0903] Input: Decoded image data

[0904] Output: Identification information

[0905] Specific operation: Image analysis is performed using a generative AI model, and if the image is a rose, it is identified as a "rose."

[0906] Step 6:

[0907] The server collects related information from the Infinite Encyclopedia database and reliable external databases based on the identified information.

[0908] Input: Identification information

[0909] Output: Related information (e.g. scientific name, flower language, how to grow, etc.)

[0910] Specific actions: In the case of "roses," collect information such as "The scientific name of roses is Rosa," "The flower's meaning is love and beauty," and "General methods of growing them."

[0911] Step 7:

[0912] The device's camera and microphone are used to collect the user's facial expressions and voice, which are then analyzed by emotion analysis means.

[0913] Input: User's facial expression data, voice data

[0914] Output: Emotional information

[0915] Specific operation: For example, if the user has a tired expression, the information is analyzed as "tired."

[0916] Step 8:

[0917] The server adjusts the format and content of the information it provides based on the emotional information.

[0918] Input: related information, emotional information

[0919] Output: Adjusted information

[0920] Specific behavior: If the user is tired, the server will summarize the information briefly or add a voice read-aloud function.

[0921] Step 9:

[0922] The collected information is then re-encrypted and sent to the device.

[0923] Input: Adjusted information

[0924] Output: Encrypted adjusted information

[0925] Specific operation: The organized information is again encrypted with AES-256 and sent to the terminal.

[0926] Step 10:

[0927] The terminal decodes the received data and displays it in a format that is easy for the user to understand.

[0928] Input: Encrypted adjusted information

[0929] Output: Information displayed to the user

[0930] Specific operation: Text information and related images are displayed on the screen, and audio is read out as needed.

[0931] (Application example 2)

[0932] 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."

[0933] Conventional production process and equipment monitoring systems lack the ability to monitor equipment status in real time and provide information that takes into account the emotional state of employees. This can lead to early detection of equipment failure signs, resulting in reduced production efficiency and safety. Furthermore, providing uniform information without considering the emotional state of employees can result in excess or deficiency of necessary information, preventing improvements in work efficiency.

[0934] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: an imaging means operated by a user toward an object; a compression and encryption means for compressing and encrypting image data acquired by the imaging means; a transmission means for transmitting the image data encrypted by the encryption means to the server; a reception means for receiving the image data transmitted by the transmission means; an analysis means for decrypting and analyzing the image data received by the reception means; an information collection means for collecting related information based on identification information obtained by the analysis means; an information display means for organizing the information obtained by the information collection means and providing it to the user; a monitoring means for monitoring the work environment and the status of equipment in real time; and an emotion recognition means for recognizing the user's emotion and adjusting information in accordance with the emotion. This enables detailed information to be provided in real time and optimal information to be delivered in accordance with the user's emotion.

[0935] The "photographing means" is a device that a user operates to point at an object to acquire image data.

[0936] The "compression and encryption means" refers to a device or software that has the function of compressing acquired image data and encrypting it using the AES-256 algorithm.

[0937] The "transmission means" is a device or software having a communication function for transmitting encrypted image data to a server.

[0938] The "receiving means" is a device or software that has a function for the server to receive the image data transmitted by the transmitting means.

[0939] "Analysis means" refers to a device or software that has the function of decoding received image data and analyzing it using a generative AI model.

[0940] The "information collection means" is a device or software that has the function of collecting related information based on the identification information obtained by the analysis means.

[0941] The "information display means" is a device or software having a display function for organizing the information obtained by the information collection means and providing it to the user.

[0942] "Monitoring means" refers to a device or software that has the function of monitoring the working environment and the state of equipment in real time.

[0943] The "emotion recognition means" is a device or software that has the function of recognizing the user's emotion and adjusting information in accordance with that emotion.

[0944] The "information optimization means" is a device or software that has the function of optimizing the information obtained by the analysis means based on the user's emotions and providing the information.

[0945] The present invention combines a system that provides detailed information on a specific object in real time with an emotion engine that recognizes the user's emotions. A specific example of this system will be described below.

[0946] The system of the present invention first uses the device's image capture means, which the user operates to point the device at an object. The image capture means is composed of a camera, and when the user operates the capture button while focusing on the object, the device's camera captures image data of the object. The captured image data is then processed by compression and encryption means within the device. Compression reduces the data size, and encryption uses the AES-256 algorithm to ensure data confidentiality.

[0947] The encrypted image data is sent to the server via the transmission means. On the server side, the image data is received by the receiving means and decrypted by the decryption means. Then, analysis of the image data is started using the analysis means. A generative AI model is used for the analysis, extracting the characteristics of the object and generating identification information. Based on this identification information, the server uses the information collection means to collect related information from relevant databases. This information includes basic information, characteristics, and related knowledge about the object.

[0948] Next, the emotion recognition means analyzes the user's emotions. This means uses the device's camera and microphone to analyze the user's facial expressions and voice to identify their emotional state. The results of the emotion analysis are sent to the server, which then adjusts the format and content of the information depending on the user's emotional state. For example, if the server determines that the user is tired, it can simplify the information or add a text-to-speech function. Conversely, if the user is excited, it can provide more detailed information or additional images to keep the user engaged.

[0949] The collected information is organized on the server side, re-encrypted, and sent to the device, where it is decrypted and optimized using information optimization tools and displayed in a user-friendly format, including text information, related images, and possibly audio reading.

[0950] As a concrete example, consider a robot installed on a factory production line that monitors a specific machine and photographs its condition. The robot captures images of the machine with its camera and sends them to a server. The server analyzes the images and determines the machine's performance status. Next, it recognizes the emotional state of the employee and provides a brief overview of the machine if it determines that the employee is tired. Conversely, if the employee is energetic, it provides detailed performance data and repair instructions.

[0951] Additionally, the server can use the following prompt statements for parsing:

[0952] Prompt statement:

[0953] "Analyze image data, recognize the state of the object, and obtain the results. Summarize the information succinctly according to the employee's emotional state, "fatigue."

[0954] In this way, the present invention can significantly improve production efficiency and safety in factories.

[0955] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0956] Step 1:

[0957] The user operates the device's camera to point the camera at a specific object and capture its image data. The input is the user's operation and the image of the object, and the output is the captured image data. This image data is saved in the device.

[0958] Step 2:

[0959] The device processes the captured image data using compression and encryption means. Specifically, the image data is reduced in size using a compression algorithm, and then encrypted using the AES-256 algorithm. The input is the captured image data, and the output is the compressed and encrypted image data.

[0960] Step 3:

[0961] The terminal uses a transmission means to transmit the encrypted image data to the server, where the input is the compressed and encrypted image data and the output is the data transmission to the server.

[0962] Step 4:

[0963] The server receives the encrypted image data sent from the terminal using the receiving means, with the input being the data sent from the terminal and the output being the received encrypted data.

[0964] Step 5:

[0965] The server uses a decryption means to decrypt the encrypted data and return it to analyzable image data, with the input being the encrypted data and the output being the decrypted image data.

[0966] Step 6:

[0967] The server uses an analysis means to analyze the decoded image data based on the generative AI model. This analysis extracts features within the image and generates identification information. The input is the decoded image data, and the output is the identification information.

[0968] Step 7:

[0969] The server uses the information collection means to collect related information from the Infinite Encyclopedia database and reliable external databases based on the generated identification information. The input is the identification information, and the output is the related information.

[0970] Step 8:

[0971] Using the device's camera and microphone, the emotion recognition means analyzes the user's facial expressions and voice to identify their emotional state. The input is the user's facial expressions and voice data, and the output is the emotion recognition results.

[0972] Step 9:

[0973] Based on the emotion recognition results, the server adjusts the collected related information according to the user's emotional state. For example, if the user is tired, it will provide concise information, and if the user is excited, it will provide detailed information. The input is the related information and the emotion recognition results, and the output is the adjusted information.

[0974] Step 10:

[0975] The server re-encrypts the adjusted information and sends it to the terminal. The input is the adjusted information, and the output is the encrypted information.

[0976] Step 11:

[0977] The terminal receives the encrypted data sent from the server using the receiving means and decrypts it using the decrypting means. The input is the encrypted data and the output is the decrypted information.

[0978] Step 12:

[0979] The device uses information optimization techniques to display information in a format that is easy for the user to understand (text information, related images, voice reading, etc.) The input is the decoded information and the output is the displayed information.

[0980] 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.

[0981] 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.

[0982] 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.

[0983] [Fourth embodiment]

[0984] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0985] 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.

[0986] 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).

[0987] 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.

[0988] 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.

[0989] 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).

[0990] 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.

[0991] 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.

[0992] 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.

[0993] 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.

[0994] 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.

[0995] 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.

[0996] 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."

[0997] The present invention is a system for providing detailed information on a specific object in real time. The operation of the system will be specifically described below.

[0998] First, the user takes a smartphone or small dedicated device and points the device's camera at the object they want to know about. The user launches the camera application, focuses on the object, and presses the capture button, which causes the device's camera to capture an image of the object.

[0999] The acquired image data is compressed and encrypted within the device. The compression process reduces the data size and enables efficient transfer, while the encryption process ensures data confidentiality. The encryption algorithm is AES-256, which is highly secure.

[1000] The compressed and encrypted image data is sent over the internet to a server, which then decrypts it and returns it to a format that can be analyzed. The server then uses a generative AI model to analyze the image, extract features from the image, and generate identification information.

[1001] Based on the generated identification information, the server collects related information from the Infinite Encyclopedia database and reliable external databases, including basic information, characteristics, and related knowledge of the object.

[1002] The collected information is organized in a user-friendly format, re-encrypted, and sent to the device, where it is decrypted and displayed in an easily understandable format to the user, including text information, related images, and possibly audio readings.

[1003] For example, if a user points their device at a rose in their garden, the device will take a picture of the rose and send it to the server. Image analysis on the server will identify it as a "rose," and related information such as "The scientific name of a rose is Rosa," "The flower's meaning is love and beauty," and "General methods for growing it" will be collected. This information will be organized and sent back to the device, where it will be displayed on the user's screen as "This flower is a rose."

[1004] As described above, the present invention is a system that provides detailed information about an object in real time, facilitating the acquisition of knowledge.

[1005] The processing flow will be explained below.

[1006] Step 1:

[1007] The user points the device at an object and operates it. When the user presses the "photo button," the device's camera takes a picture of the object. This image is temporarily saved in the device.

[1008] Step 2:

[1009] Image data acquired by the terminal is compressed. For example, it is converted to JPEG format to reduce the file size and make data transfer more efficient.

[1010] Step 3:

[1011] Encrypt the compressed image data. To ensure security, the image data is encrypted using the AES-256 algorithm.

[1012] Step 4:

[1013] The device sends the encrypted image data to the server using the HTTPS protocol, ensuring security during data transfer.

[1014] Step 5:

[1015] The server decrypts the received image data and returns the data to its original state using the encryption key used by the device.

[1016] Step 6:

[1017] The server inputs the decoded image data into a generative AI model for analysis. The generative AI model extracts features from the image and generates identification information. For example, it can identify an object based on features such as the shape and color of a flower.

[1018] Step 7:

[1019] The server collects relevant information based on the identified object, and searches and collects detailed information about the object from the Infinite Encyclopedia database and trusted external databases.

[1020] Step 8:

[1021] Organize the collected information in a format that is easy for users to understand, such as text information, related images, and, if necessary, audio information.

[1022] Step 9:

[1023] The server then re-encrypts the organized information and sends it to the device, again using the AES-256 algorithm.

[1024] Step 10:

[1025] The device decrypts the encrypted data it receives, converting the decrypted information into a readable format.

[1026] Step 11:

[1027] The device then displays the decrypted information to the user. Text information is displayed on the screen, associated images are provided visually, and in some cases, audio is read. For example, the visual information displayed may be, "This flower is a rose. Its scientific name is Rosa. Its language is love and beauty."

[1028] As a result, the user can obtain detailed information about the object in real time.

[1029] Example 1

[1030] 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."

[1031] Conventional information acquisition systems have had difficulty providing users with detailed information about objects in real time. Furthermore, confidentiality was often not ensured during the data transmission and reception process, creating security risks. Furthermore, the accuracy of image analysis was low, which could result in incorrect information being provided. There is a need to provide a system that can solve these issues and enable users to quickly and accurately obtain information about objects.

[1032] 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.

[1033] In this invention, the server includes an imaging means operated by a user toward an object, a compression and encryption means for compressing and encrypting image data acquired by the imaging means, a transmission means for transmitting the image data compressed and encrypted by the compression and encryption means to the server via a communication line, a receiving and decrypting means for receiving and decrypting the image data transmitted by the transmission means, an analysis means for analyzing the decrypted image data and extracting features, an information collection means for collecting related information based on the feature information obtained by the analysis means, an encryption and transmission means for organizing the information obtained by the information collection means, re-encrypting it, and transmitting it to a user terminal via a communication line, and a display means for receiving, decrypting, and displaying the re-encrypted information. This allows a user to accurately obtain detailed information about the object they have photographed in real time, while ensuring the confidentiality of the information.

[1034] The "photographing means" is a device that the user points at an object to capture an image.

[1035] A "compression and encryption means" is a device or program that compresses and encrypts image data to reduce the size of the captured image data and ensure data confidentiality.

[1036] The "transmission means" is a device or program that transmits compressed and encrypted image data to a server using a communication line.

[1037] The "receiving and decrypting means" is a device or program that receives the image data transmitted by the transmitting means and restores the encrypted data to its original state.

[1038] The "analysis means" is a device or program for analyzing the decoded image data and extracting features within the image.

[1039] The "information collection means" is a device or program that collects related information from an external database based on the characteristic information obtained by the analysis means.

[1040] The "encryption and transmission means" is a device or program that re-encrypts the information obtained by the information collection means and transmits it to the user terminal via a communication line.

[1041] A "display means" is a device or program that displays the decoded information in a format that is easily understandable to the user.

[1042] The present invention is a system that provides detailed information on specific objects in real time. This system operates by having a user acquire an image of the object using a terminal, sending the image data to a server for analysis, and returning the obtained information to the user.

[1043] Using a smartphone or dedicated small device, the user points the device's camera at the object of interest. The user launches the camera application, focuses on the object, and presses the capture button, and the device's camera captures an image of the object. The camera application can be, for example, the standard "Camera" app.

[1044] The captured image data is first compressed within the device using the JPEG compression algorithm to reduce the data size, and then encrypted using the AES-256 algorithm to ensure data confidentiality.

[1045] The compressed and encrypted image data is sent over the Internet to a server using an HTTP POST request, where it is decrypted using the AES-256 algorithm to restore the original image data.

[1046] The decoded image data is input into a generative AI model on the server. Examples of generative AI models that are used include YOLO (You Only Look Once) and Residual Networks (Residual Networks). This AI model extracts features within the image and identifies the object. The identified information is specified in a form such as "This flower is a rose."

[1047] The server collects related information from an external database (e.g., a database service API) based on the information of the identified object, including basic information, characteristics, and related knowledge of the object.

[1048] The collected information is organized into a user-friendly format, and the organized data is again encrypted using the AES-256 algorithm and sent to the device, again using an HTTP POST request.

[1049] The device receives the encrypted data, decrypts it, and displays it in a user-friendly format, including text information, related images, and possibly a text-to-speech function (such as the Google Text-to-Speech API).

[1050] As a concrete example, when a user points their device at a rose in their garden and takes a picture, the image is compressed, encrypted, and then sent to the server. The image is analyzed by the server and identified as a "rose," and information such as "The scientific name of roses is Rosa," "The flower's meaning is love and beauty," and "General methods for growing roses" are collected from an external database. This information is organized, re-encrypted, sent to the device, and displayed on the user's screen. The user can obtain detailed information such as "This flower is a rose."

[1051] An example of a prompt for the generative AI model is, "Please identify the object in the following image and provide relevant information." Based on this prompt, the server accurately analyzes the image and provides accurate information to the user.

[1052] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1053] Step 1:

[1054] The user uses the device's camera to capture an image of an object. When the user launches the camera application and presses the capture button while focusing on the object, the device's camera captures an image of the object (input data). This results in image data (output data).

[1055] Step 2:

[1056] The terminal compresses the acquired image data. This compression process uses the JPEG compression algorithm. Image data is input, and compressed image data (output data) is obtained with a reduced data size based on the compression process.

[1057] Step 3:

[1058] The terminal encrypts the compressed image data. This encryption process uses the AES-256 algorithm. The input is the compressed image data, and the encrypted image data (output data) is obtained based on the encryption process.

[1059] Step 4:

[1060] The device sends the encrypted image data to the server via the Internet. This transmission uses an HTTP POST request. The input is the encrypted image data, and by transmitting it, the data already sent to the server (output data) is obtained.

[1061] Step 5:

[1062] The server receives the encrypted image data and decrypts it. This decryption process also uses the AES-256 algorithm. The input is the encrypted image data, and the original image data (output data) is obtained based on the decryption process.

[1063] Step 6:

[1064] The server inputs the decoded image data into a generative AI model, which uses YOLO, ResNet, etc. The input is the decoded image data, and the feature information of the object (output data) is obtained based on the analysis of the generative AI model.

[1065] Step 7:

[1066] The server collects related information from an external database based on the feature information obtained from the generative AI model. The feature information is input, and related information (output data) is obtained based on a database query. The collected related information includes basic information, features, and related knowledge of the object.

[1067] Step 8:

[1068] The server organizes the collected relevant information into a user-friendly format and re-encrypts it, again using the AES-256 algorithm. The input is the relevant information, and the resulting encrypted information (output data) is based on the organization and encryption process.

[1069] Step 9:

[1070] The server sends the encrypted information to the terminal. This transmission also uses an HTTP POST request. The encrypted information is input, and by sending it, the data already sent to the terminal (output data) is obtained.

[1071] Step 10:

[1072] The terminal decrypts the received encrypted information and displays it to the user. The AES-256 algorithm is used again for decryption. The input is the encrypted information, and the original information (output data) is obtained based on the decryption. The decrypted information is displayed to the user in the form of text, image, sound, etc.

[1073] For example, when a user points their device at a rose in a garden and takes a picture, the image is compressed, encrypted, and then sent to a server. The image data is decrypted by the server and input into a generative AI model, which identifies it as a "rose." Based on this identification, information about the rose is collected from an external database. This information is organized, re-encrypted, and sent to the device, ultimately displaying the message "This flower is a rose" on the user's screen.

[1074] (Application example 1)

[1075] 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."

[1076] In today's brick-and-mortar stores, users lack the means to quickly and accurately obtain detailed product information. This leads to users making purchasing decisions based on insufficient information, resulting in lower customer satisfaction. Furthermore, face-to-face explanations by store clerks are time-consuming and inefficient. To address these issues, it is necessary to develop a system that allows users to obtain product information in real time using devices such as smartphones or smart glasses.

[1077] 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.

[1078] In this invention, the server includes an imaging means operated by a user toward an object, a compression and encryption means for compressing and encrypting image data acquired by the imaging means, a transmission means for transmitting the image data encrypted by the encryption means to the server, a reception means for receiving the image data transmitted by the transmission means, an analysis means for decrypting and analyzing the image data received by the reception means, an information collection means for collecting related information based on the identification information obtained by the analysis means, an information display means for organizing the information obtained by the information collection means and providing it to the user, and a product information provision means for the information display means to provide the user with information about products in the physical store in real time. This allows the user to obtain detailed information about products in the store in real time, making purchasing decisions easier and expected to improve customer satisfaction.

[1079] "User" refers to an individual or corporation that uses this system to obtain information about an object.

[1080] The term "object" refers to a specific product or object about which the user wishes to know information.

[1081] The "photography means" is a device with a camera function that is used by the user to photograph an object.

[1082] The "compression and encryption means" is a function that performs compression and encryption processes on captured image data to reduce the data size and ensure confidentiality.

[1083] The "transmission means" is a function for transmitting encrypted image data to a server.

[1084] The "receiving means" is a function by which the server receives the image data transmitted by the transmitting means.

[1085] "Decryption" is the process of restoring encrypted image data to its original form.

[1086] The "analysis means" is a function that analyzes the decoded image data and generates identification information of the object.

[1087] A "generative AI model" is an artificial intelligence model used to analyze images and generate related information.

[1088] "Identification information" is information obtained by the analysis means that is necessary for identifying and recognizing an object.

[1089] The "information collection means" is a function that collects related detailed information from an external database or the like based on the identification information.

[1090] The "information display means" is a function that provides collected information to the user in an easy-to-understand format.

[1091] The "product information providing means" is a function that allows users to obtain detailed information about products in real time in a physical store.

[1092] The present invention is a system for providing a user with information about an object in real time. The system includes an image capturing unit, a compression and encryption unit, a transmission unit, a reception unit, an analysis unit, an information collection unit, an information display unit, and a product information providing unit.

[1093] Hardware and software used

[1094] Hardware: Smartphones, smart glasses, head-mounted displays

[1095] Software: Mobile application (Swift, Kotlin), cloud server (AWS, Azure), image analysis model (TensorFlow), database (MySQL)

[1096] System processing flow

[1097] 1. Shooting and data compression / encryption

[1098] A user uses a photographing device such as a smartphone or smart glasses to photograph an object of interest, such as a product in a physical store (e.g., a wine bottle or a skin care product).

[1099] The captured image data is compressed inside the device and then encrypted using the AES-256 algorithm.

[1100] 2. Sending and Receiving Data

[1101] The encrypted image data is transmitted to the server using a transmitting means, and the server receives the image data using a receiving means.

[1102] 3. Data Decoding and Analysis

[1103] The server decodes the received image data and analyzes it using an analysis means, which uses a generative AI model to identify the object.

[1104] 4. Collection and display of related information

[1105] Based on the information identified by the analysis means, the information collection means collects related information from the Infinite Encyclopedia database and external databases. The collected information is organized, encrypted, and then transmitted to the terminal again.

[1106] The device decodes this information and displays it in a form that the user can easily understand, either as text, images, or audio.

[1107] Specific examples

[1108] To use the ShopHelper app in a brick-and-mortar store, users point their smartphone camera at a wine bottle, take a photo, and then type a prompt into the app, like this:

[1109] "Tell me more about this product"

[1110] What are the flavor characteristics of this wine?

[1111] "I want to know the ingredients in this skin care cream."

[1112] Based on this prompt, the server collects detailed information about the object and displays it to the user, allowing the user to obtain detailed information about the product in real time.

[1113] This system will significantly improve the user's shopping experience in physical stores, providing faster and more accurate information. As a specific example of its use, a user can take a photo of a wine bottle in a store and instantly check detailed information about the wine, such as its origin, grape variety, price, and taste.

[1114] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1115] Step 1:

[1116] A user takes a photograph of an object using a photographing means such as a smartphone or smart glasses. The input is image data captured through the camera, which contains visual information of the object.

[1117] Step 2:

[1118] The captured image data is processed by compression and encryption means within the device. The input is raw image data, and the output is compressed and AES-256 encrypted image data. Specifically, the image is compressed into JPEG format, and then the data is encrypted using an encryption algorithm.

[1119] Step 3:

[1120] The encrypted image data is sent to the server via a transmission means. The input is the encrypted image data, and the output is the data sent to the server. Specifically, the HTTPS protocol is used to securely send the data to the server.

[1121] Step 4:

[1122] The server receives the encrypted image data sent by the receiving means. The input is the encrypted image data received from the sending means, and the output is the received data. Specifically, the server's receiving API receives the data and prepares it for the next processing.

[1123] Step 5:

[1124] The server decrypts the received image data. The input is encrypted image data, and the output is decrypted image data. Specifically, the AES-256 algorithm is used to restore the data to its pre-encryption state.

[1125] Step 6:

[1126] The decoded image data is analyzed by an analysis means. The input is the decoded image data, and the output is the object's identification information. Specifically, a generative AI model (e.g., TensorFlow) is used to perform image analysis, extract the object's features, and generate the object's identification information.

[1127] Step 7:

[1128] The server collects related information based on the identification information using an information collection means. The input is the identification information, and the output is the collected related information. Specifically, the server collects data related to the identification information from the Infinite Encyclopedia database and external reliable databases.

[1129] Step 8:

[1130] The collected information is organized and encrypted by the server's information display means. The input is the collected related information, and the output is the encrypted organized information. Specifically, text, images, and, if necessary, audio data are appropriately organized and encrypted with AES-256.

[1131] Step 9:

[1132] The server sends the organized information to the terminal. The input is the encrypted organized information, and the output is the data to be sent to the terminal. Specifically, the data is sent back to the terminal using the HTTPS protocol.

[1133] Step 10:

[1134] The terminal decrypts the information it receives and displays it in a user-friendly format. The input is encrypted, organized information, and the output is displayed information. Specifically, it decrypts using AES-256 and displays the collected information as text, images, and sometimes audio.

[1135] This series of steps allows users to obtain detailed information about objects in real time while in a physical store. By entering prompt phrases (e.g., "Tell me more about this product" or "What are the taste characteristics of this wine?") into the app, the information the user wants to know is instantly displayed.

[1136] 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.

[1137] The present invention combines a system that provides detailed information on specific objects in real time with an emotion engine that recognizes the user's emotions. The operation of the system will be specifically described below.

[1138] First, the user holds a smartphone or dedicated small device and points the device's camera at the object they want to know about. The user launches the camera application, focuses on the object, and presses the capture button. The device's camera then takes a picture of the object. This image is temporarily saved on the device.

[1139] The acquired image data is compressed and encrypted within the device. The compression process reduces the data size and enables efficient transfer, while the encryption process ensures data confidentiality. The encryption algorithm is AES-256, which is highly secure.

[1140] The compressed and encrypted image data is sent to a server via the Internet. The server decrypts the received image data and returns it to an analyzable state. The server then analyzes the image using a generative AI model, extracts features within the image, and generates identification information. Based on the generated identification information, the server collects related information from the Infinite Encyclopedia database and reliable external databases. This information includes basic information, features, and related knowledge about the object.

[1141] Next, the emotion engine is activated to recognize the user's emotions. The emotion engine uses the device's camera and microphone to analyze emotions from the user's facial expressions and voice. The analysis results are sent to the server, which then adjusts the format and content of the information provided based on the emotion information.

[1142] For example, if the emotion engine determines that the user is tired, the server can simplify the information provided or add a text-to-speech function. Conversely, if the user is excited, the server can increase satisfaction by providing detailed information and more images.

[1143] The collected information is organized into a user-friendly format, re-encrypted, and sent to the device, where it is decrypted and displayed in a user-friendly format, including text information, related images, and possibly audio readings.

[1144] For example, if a user points a device at a rose in a garden, the device takes a picture of the rose and sends it to the server. Image analysis on the server identifies it as a "rose," and collects related information such as "The scientific name of a rose is Rosa," "The flower's meaning is love and beauty," and "General methods for growing it." This information is organized according to the user's emotional state and sent back to the device. The device displays the information on the screen and, if necessary, reads it aloud.

[1145] As described above, the present invention is a system that provides detailed information about an object in real time in an optimal format according to the emotional state of the user.

[1146] The processing flow will be explained below.

[1147] Step 1:

[1148] The user points the device at an object and operates it. When the user presses the "photo button," the device's camera takes an image of the object. This image is temporarily saved in the device.

[1149] Step 2:

[1150] The image data acquired by the terminal is compressed, for example, by converting it to JPEG format to reduce the data size, thereby enabling efficient data transfer.

[1151] Step 3:

[1152] Encrypt the compressed image data. Encrypt the image data using the AES-256 algorithm to ensure data confidentiality and security.

[1153] Step 4:

[1154] The device sends the encrypted image data to the server using the HTTPS protocol, ensuring security during data transfer.

[1155] Step 5:

[1156] The server decrypts the received image data and returns the data to its original state using the encryption key used on the device.

[1157] Step 6:

[1158] The server inputs the decoded image data into a generative AI model for analysis. The generative AI model extracts features from the image and generates identification information. For example, it can analyze the shape, color, and pattern of a flower to identify its type.

[1159] Step 7:

[1160] The server collects relevant information based on the identification information, and searches and collects detailed information about the object from the Infinite Encyclopedia database and trusted external databases.

[1161] Step 8:

[1162] The device's emotion engine analyzes the user's voice and facial expressions to recognize the user's current emotional state. The emotion engine uses the camera and microphone to capture data in real time.

[1163] Step 9:

[1164] The emotion engine transmits the acquired emotion data to the server, thereby transmitting the user's emotional state to the server.

[1165] Step 10:

[1166] The server receives emotional data and adjusts the format and content of the information it provides based on that data. For example, if it detects that the user is tired, it can simplify the information or add a voice readout function.

[1167] Step 11:

[1168] The organized information is encrypted and sent to the terminal. The server then encrypts the information again with the AES-256 algorithm and sends it securely.

[1169] Step 12:

[1170] The device decrypts the encrypted data it receives, converting the decrypted information into a readable format.

[1171] Step 13:

[1172] The device then displays the decrypted information to the user. Text information is displayed on the screen, associated images are provided visually, and in some cases, audio is read. For example, the visual information displayed may be, "This flower is a rose. Its scientific name is Rosa. Its language is love and beauty."

[1173] As a result, the user can obtain detailed information about the object in real time and in a format that matches the user's emotional state.

[1174] Example 2

[1175] 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."

[1176] In conventional systems, when a user obtains detailed information about a specific object in real time, the user's emotional state is not taken into consideration, which can result in the information provided being suboptimal for the user. Another problem is that security is not adequately ensured during the transmission and analysis of image data. The present invention aims to solve these problems and enable the provision of optimal information according to the user's emotional state.

[1177] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: an imaging means operated by a user toward an object; a compression and encryption means for compressing and encrypting image data acquired by the imaging means; a transmission means for transmitting the image data encrypted by the encryption means to the server; a reception means for receiving the image data transmitted by the transmission means; an analysis means for decrypting and analyzing the image data received by the reception means; an information collection means for collecting related information based on the identification information obtained by the analysis means; an information display means for organizing information based on the information obtained by the information collection means and the user's emotional information and providing the information to the user; an emotion analysis means for analyzing the user's facial expressions and voice to determine the emotional state; and an information adjustment means for adjusting the content of the information to be provided based on the emotional information obtained by the emotion analysis means. This makes it possible to provide appropriate information according to the user's emotional state.

[1178] The "photography means" is a device that the user operates to point at an object and capture images or videos.

[1179] The "compression and encryption means" is a function that compresses the acquired image data to reduce the data size, and further encrypts the data to ensure its confidentiality.

[1180] The "transmission means" is a function for transmitting compressed and encrypted image data to a server.

[1181] The "receiving means" is a function for receiving the image data transmitted by the transmitting means on the server side.

[1182] The "analysis means" is a function that decodes the image data received by the server, analyzes the features in the image using a generative AI model, and generates identification information.

[1183] The "information collection means" is a function that collects related information from a database or external source based on the identification information obtained by the analysis means.

[1184] The "information display means" is a function that organizes information based on collected information and user emotional information, and presents it in a format that is easy for the user to understand.

[1185] The "emotion analysis means" is a function that analyzes the user's facial expressions and voice to determine the user's emotional state.

[1186] The "information adjustment means" is a function that adjusts the content and format of the information to be provided based on the emotional information obtained by the emotional analysis means.

[1187] A "generative AI model" is an algorithm that uses machine learning to learn patterns and features from large amounts of data and analyze newly input data.

[1188] The "AES-256 algorithm" is an advanced encryption technology that uses a 256-bit key to encrypt and decrypt data.

[1189] The present invention is a system that allows a user to obtain detailed information about a specific object in real time, and further has the function of providing an appropriate information format depending on the user's emotional state.

[1190] First, the user points the camera at an object using a smartphone or dedicated small device. The user launches the camera application, focuses on the object, and presses the capture button. The camera takes an image of the object. This image data is temporarily stored on the device.

[1191] The device compresses and encrypts the stored image data. The compression process reduces the data size and allows for efficient data transfer. The encryption process uses the AES-256 algorithm to ensure data confidentiality. The compressed and encrypted image data is then sent to a server via the Internet.

[1192] The server decodes the received image data and returns it to an analyzable state. It then analyzes the image using a generative AI model, extracts features within the image, and generates identification information. Based on this identification information, the server collects related information from the Infinite Encyclopedia database and reliable external databases, including basic information, characteristics, and related knowledge of the object.

[1193] Next, an emotion analysis means is activated to recognize the user's emotions. This means uses the device's camera and microphone to analyze the user's facial expressions and voice to determine the user's emotional state. The analysis results are sent to the server, which then adjusts the format and content of the information provided based on the emotion information.

[1194] For example, if the emotion analysis means determines that the user is tired, the server can simplify the information provided or add a voice readout function. Conversely, if the user is excited, the server can increase satisfaction by providing detailed information and more images. The collected information is organized in a format that is easy for the user to understand, re-encrypted, and sent to the device. The device decrypts this data and displays it in a format that the user can easily understand. The display format can include text information, related images, and in some cases voice readout.

[1195] As a concrete example, let's say a user points their device at a rose in a garden and takes a picture. The image data of the rose taken by the device's camera is sent to a server, where it is identified as a "rose" through image analysis. Related information is then collected, such as "The scientific name of roses is Rosa," "The flower's meaning is love and beauty," and "General methods for growing roses." This information is organized according to the user's emotional state and sent back to the device. The device displays the information on the screen and, if necessary, reads it aloud.

[1196] An example prompt is:

[1197] "Provide information about a rose. Generate text detailing the rose's scientific name, flower language, and general care instructions. Be brief if the user is tired, or detailed if the user is excited."

[1198] In this way, the system of the present invention can provide optimal information in real time according to the user's emotional state.

[1199] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1200] Step 1:

[1201] The user captures an object with the camera, launches the camera application, focuses on the object, and presses the capture button.

[1202] Input: Actual object

[1203] Output: Captured image data

[1204] Specific operation: For example, if a user wants to take a picture of roses in a garden, he or she launches a camera app, points the camera at the roses, and presses the capture button when the focus is set.

[1205] Step 2:

[1206] The device internally compresses and encrypts the captured image data. The compression process reduces the data size, and the encryption process uses the AES-256 algorithm.

[1207] Input: Photographed image data

[1208] Output: Compressed and encrypted image data

[1209] Specific operation: The device compresses the acquired image data and encrypts it with AES-256 to reduce the data size while keeping it secure.

[1210] Step 3:

[1211] The compressed and encrypted image data is sent to a server over the Internet.

[1212] Input: Compressed and encrypted image data

[1213] Output: Image data sent to the server

[1214] Specific operation: The encoded image data is sent to the server using Wi-Fi or mobile data.

[1215] Step 4:

[1216] The server decodes the received image data and returns it to an analyzable state.

[1217] Input: Encrypted image data

[1218] Output: Decoded image data

[1219] Specific operation: The server decrypts the AES-256 encrypted data and returns it to an analyzable state.

[1220] Step 5:

[1221] The server uses the generated AI model to analyze the image, extract features within the image, and generate identification information.

[1222] Input: Decoded image data

[1223] Output: Identification information

[1224] Specific operation: Image analysis is performed using a generative AI model, and if the image is a rose, it is identified as a "rose."

[1225] Step 6:

[1226] The server collects related information from the Infinite Encyclopedia database and reliable external databases based on the identified information.

[1227] Input: Identification information

[1228] Output: Related information (e.g. scientific name, flower language, how to grow, etc.)

[1229] Specific actions: In the case of "roses," collect information such as "The scientific name of roses is Rosa," "The flower's meaning is love and beauty," and "General methods of growing them."

[1230] Step 7:

[1231] The device's camera and microphone are used to collect the user's facial expressions and voice, which are then analyzed by emotion analysis means.

[1232] Input: User's facial expression data, voice data

[1233] Output: Emotional information

[1234] Specific operation: For example, if the user has a tired expression, the information is analyzed as "tired."

[1235] Step 8:

[1236] The server adjusts the format and content of the information it provides based on the emotional information.

[1237] Input: related information, emotional information

[1238] Output: Adjusted information

[1239] Specific behavior: If the user is tired, the server will summarize the information briefly or add a voice read-aloud function.

[1240] Step 9:

[1241] The collected information is then re-encrypted and sent to the device.

[1242] Input: Adjusted information

[1243] Output: Encrypted adjusted information

[1244] Specific operation: The organized information is again encrypted with AES-256 and sent to the terminal.

[1245] Step 10:

[1246] The terminal decodes the received data and displays it in a format that is easy for the user to understand.

[1247] Input: Encrypted adjusted information

[1248] Output: Information displayed to the user

[1249] Specific operation: Text information and related images are displayed on the screen, and audio is read out as needed.

[1250] (Application example 2)

[1251] 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."

[1252] Conventional production process and equipment monitoring systems lack the ability to monitor equipment status in real time and provide information that takes into account the emotional state of employees. This can lead to early detection of equipment failure signs, resulting in reduced production efficiency and safety. Furthermore, providing uniform information without considering the emotional state of employees can result in excess or deficiency of necessary information, preventing improvements in work efficiency.

[1253] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: an imaging means operated by a user toward an object; a compression and encryption means for compressing and encrypting image data acquired by the imaging means; a transmission means for transmitting the image data encrypted by the encryption means to the server; a reception means for receiving the image data transmitted by the transmission means; an analysis means for decrypting and analyzing the image data received by the reception means; an information collection means for collecting related information based on identification information obtained by the analysis means; an information display means for organizing the information obtained by the information collection means and providing it to the user; a monitoring means for monitoring the work environment and the status of equipment in real time; and an emotion recognition means for recognizing the user's emotion and adjusting information in accordance with the emotion. This enables detailed information to be provided in real time and optimal information to be delivered in accordance with the user's emotion.

[1254] The "photographing means" is a device that a user operates to point at an object to acquire image data.

[1255] The "compression and encryption means" refers to a device or software that has the function of compressing acquired image data and encrypting it using the AES-256 algorithm.

[1256] The "transmission means" is a device or software having a communication function for transmitting encrypted image data to a server.

[1257] The "receiving means" is a device or software that has a function for the server to receive the image data transmitted by the transmitting means.

[1258] "Analysis means" refers to a device or software that has the function of decoding received image data and analyzing it using a generative AI model.

[1259] The "information collection means" is a device or software that has the function of collecting related information based on the identification information obtained by the analysis means.

[1260] The "information display means" is a device or software having a display function for organizing the information obtained by the information collection means and providing it to the user.

[1261] "Monitoring means" refers to a device or software that has the function of monitoring the working environment and the state of equipment in real time.

[1262] The "emotion recognition means" is a device or software that has the function of recognizing the user's emotion and adjusting information in accordance with that emotion.

[1263] The "information optimization means" is a device or software that has the function of optimizing the information obtained by the analysis means based on the user's emotions and providing the information.

[1264] The present invention combines a system that provides detailed information on a specific object in real time with an emotion engine that recognizes the user's emotions. A specific example of this system will be described below.

[1265] The system of the present invention first uses the device's image capture means, which the user operates to point the device at an object. The image capture means is composed of a camera, and when the user operates the capture button while focusing on the object, the device's camera captures image data of the object. The captured image data is then processed by compression and encryption means within the device. Compression reduces the data size, and encryption uses the AES-256 algorithm to ensure data confidentiality.

[1266] The encrypted image data is sent to the server via the transmission means. On the server side, the image data is received by the receiving means and decrypted by the decryption means. Then, analysis of the image data is started using the analysis means. A generative AI model is used for the analysis, extracting the characteristics of the object and generating identification information. Based on this identification information, the server uses the information collection means to collect related information from relevant databases. This information includes basic information, characteristics, and related knowledge about the object.

[1267] Next, the emotion recognition means analyzes the user's emotions. This means uses the device's camera and microphone to analyze the user's facial expressions and voice to identify their emotional state. The results of the emotion analysis are sent to the server, which then adjusts the format and content of the information depending on the user's emotional state. For example, if the server determines that the user is tired, it can simplify the information or add a text-to-speech function. Conversely, if the user is excited, it can provide more detailed information or additional images to keep the user engaged.

[1268] The collected information is organized on the server side, re-encrypted, and sent to the device, where it is decrypted and optimized using information optimization tools and displayed in a user-friendly format, including text information, related images, and possibly audio reading.

[1269] As a concrete example, consider a robot installed on a factory production line that monitors a specific machine and photographs its condition. The robot captures images of the machine with its camera and sends them to a server. The server analyzes the images and determines the machine's performance status. Next, it recognizes the emotional state of the employee and provides a brief overview of the machine if it determines that the employee is tired. Conversely, if the employee is energetic, it provides detailed performance data and repair instructions.

[1270] Additionally, the server can use the following prompt statements for parsing:

[1271] Prompt statement:

[1272] "Analyze image data, recognize the state of the object, and obtain the results. Summarize the information succinctly according to the employee's emotional state, "fatigue."

[1273] In this way, the present invention can significantly improve production efficiency and safety in factories.

[1274] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1275] Step 1:

[1276] The user operates the device's camera to point the camera at a specific object and capture its image data. The input is the user's operation and the image of the object, and the output is the captured image data. This image data is saved in the device.

[1277] Step 2:

[1278] The device processes the captured image data using compression and encryption means. Specifically, the image data is reduced in size using a compression algorithm, and then encrypted using the AES-256 algorithm. The input is the captured image data, and the output is the compressed and encrypted image data.

[1279] Step 3:

[1280] The terminal uses a transmission means to transmit the encrypted image data to the server, where the input is the compressed and encrypted image data and the output is the data transmission to the server.

[1281] Step 4:

[1282] The server receives the encrypted image data sent from the terminal using the receiving means, with the input being the data sent from the terminal and the output being the received encrypted data.

[1283] Step 5:

[1284] The server uses a decryption means to decrypt the encrypted data and return it to analyzable image data, with the input being the encrypted data and the output being the decrypted image data.

[1285] Step 6:

[1286] The server uses an analysis means to analyze the decoded image data based on the generative AI model. This analysis extracts features within the image and generates identification information. The input is the decoded image data, and the output is the identification information.

[1287] Step 7:

[1288] The server uses the information collection means to collect related information from the Infinite Encyclopedia database and reliable external databases based on the generated identification information. The input is the identification information, and the output is the related information.

[1289] Step 8:

[1290] Using the device's camera and microphone, the emotion recognition means analyzes the user's facial expressions and voice to identify their emotional state. The input is the user's facial expressions and voice data, and the output is the emotion recognition results.

[1291] Step 9:

[1292] Based on the emotion recognition results, the server adjusts the collected related information according to the user's emotional state. For example, if the user is tired, it will provide concise information, and if the user is excited, it will provide detailed information. The input is the related information and the emotion recognition results, and the output is the adjusted information.

[1293] Step 10:

[1294] The server re-encrypts the adjusted information and sends it to the terminal. The input is the adjusted information, and the output is the encrypted information.

[1295] Step 11:

[1296] The terminal receives the encrypted data sent from the server using the receiving means and decrypts it using the decrypting means. The input is the encrypted data and the output is the decrypted information.

[1297] Step 12:

[1298] The device uses information optimization techniques to display information in a format that is easy for the user to understand (text information, related images, voice reading, etc.) The input is the decoded information and the output is the displayed information.

[1299] 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.

[1300] 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.

[1301] 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.

[1302] 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.

[1303] 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.

[1304] 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.

[1305] 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).

[1306] 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.

[1307] 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."

[1308] 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.

[1309] 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).

[1310] 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.

[1311] 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.

[1312] 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.

[1313] 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.

[1314] 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.

[1315] 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.

[1316] 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.

[1317] 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.

[1318] 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.

[1319] 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.

[1320] The following is further disclosed regarding the above embodiment.

[1321] (Claim 1)

[1322] an imaging means operated by a user to point at an object;

[1323] a compression and encryption means for compressing and encrypting image data acquired by the photographing means;

[1324] a transmitting means for transmitting the image data encrypted by the encrypting means to a server;

[1325] a receiving means for receiving the image data transmitted by the transmitting means;

[1326] analysis means for decoding and analyzing the image data received by the receiving means;

[1327] an information collection means for collecting related information based on the identification information obtained by the analysis means;

[1328] an information display means for organizing the information obtained by the information collection means and providing it to a user;

[1329] A system including:

[1330] (Claim 2)

[1331] The system of claim 1, wherein the analysis means uses a generative AI model.

[1332] (Claim 3)

[1333] 2. The system of claim 1, wherein the encryption and decryption means use the AES-256 algorithm.

[1334] "Example 1"

[1335] (Claim 1)

[1336] an imaging means operated by a user to point at an object;

[1337] a compression and encryption means for compressing and encrypting image data acquired by the photographing means;

[1338] a transmitting means for transmitting the image data compressed and encrypted by the compressing means and the encrypting means to a server via a communication line;

[1339] receiving and decoding means for receiving and decoding the image data transmitted by said transmitting means;

[1340] analysis means for analyzing the decoded image data and extracting features;

[1341] an information collecting means for collecting related information based on the characteristic information obtained by the analyzing means;

[1342] encryption and transmission means for organizing the information obtained by the information collection means, re-encrypting it, and transmitting it to a user terminal via a communication line;

[1343] a display means for receiving the re-encrypted information, decrypting it, and displaying it;

[1344] A system including:

[1345] (Claim 2)

[1346] The system of claim 1, wherein the analysis means uses a generative AI model.

[1347] (Claim 3)

[1348] 2. The system of claim 1, wherein the encryption and decryption means use the AES-256 algorithm.

[1349] "Application Example 1"

[1350] (Claim 1)

[1351] an imaging means operated by a user to point at an object;

[1352] a compression and encryption means for compressing and encrypting image data acquired by the photographing means;

[1353] a transmitting means for transmitting the image data encrypted by the encrypting means to a server;

[1354] a receiving means for receiving the image data transmitted by the transmitting means;

[1355] analysis means for decoding and analyzing the image data received by the receiving means;

[1356] an information collection means for collecting related information based on the identification information obtained by the analysis means;

[1357] an information display means for organizing the information obtained by the information collection means and providing it to a user;

[1358] a product information providing means for providing information about products in a physical store to a user in real time by the information display means;

[1359] A system including:

[1360] (Claim 2)

[1361] The system of claim 1, wherein the analysis means uses a generative AI model.

[1362] (Claim 3)

[1363] 2. The system of claim 1, wherein the encryption and decryption means use the AES-256 algorithm.

[1364] "Example 2: Combining Emotion Engines"

[1365] (Claim 1)

[1366] an imaging means operated by a user to point at an object;

[1367] a compression and encryption means for compressing and encrypting image data acquired by the photographing means;

[1368] a transmitting means for transmitting the image data encrypted by the encrypting means to a server;

[1369] a receiving means for receiving the image data transmitted by the transmitting means;

[1370] analysis means for decoding and analyzing the image data received by the receiving means;

[1371] an information collection means for collecting related information based on the identification information obtained by the analysis means;

[1372] an information display means for organizing information based on the information obtained by the information collection means and the user's emotional information and providing the information to the user;

[1373] emotion analysis means for analyzing a user's facial expression and voice to determine the user's emotional state;

[1374] an information adjustment means for adjusting the content of information to be provided based on the emotion information obtained by the emotion analysis means;

[1375] A system including:

[1376] (Claim 2)

[1377] The system of claim 1, wherein the analysis means uses a generative AI model.

[1378] (Claim 3)

[1379] 2. The system of claim 1, wherein the encryption and decryption means use the AES-256 algorithm.

[1380] "Application example 2 when combining emotion engines"

[1381] Extracting and adding new parts

[1382] Novel technical features extracted from application examples:

[1383] A means of monitoring the working environment and equipment status in real time

[1384] A means of recognizing a user's emotions and tailoring information accordingly

[1385] A means of optimizing and providing analyzed information based on user sentiment

[1386] Claims based on new inventive subject matter:

[1387] (Claim 1)

[1388] an imaging means operated by a user to point at an object;

[1389] a compression and encryption means for compressing and encrypting image data acquired by the photographing means;

[1390] a transmitting means for transmitting the image data encrypted by the encrypting means to a server;

[1391] a receiving means for receiving the image data transmitted by the transmitting means;

[1392] analysis means for decoding and analyzing the image data received by the receiving means;

[1393] an information collection means for collecting related information based on the identification information obtained by the analysis means;

[1394] an information display means for organizing the information obtained by the information collection means and providing it to a user;

[1395] A monitoring method for monitoring the working environment and equipment status in real time;

[1396] emotion recognition means for recognizing an emotion of a user and adjusting information in accordance with the emotion;

[1397] A system including:

[1398] (Claim 2)

[1399] The system of claim 1, wherein the analysis means uses a generative AI model.

[1400] (Claim 3)

[1401] 2. The system of claim 1, wherein the encryption and decryption means use the AES-256 algorithm.

[1402] (Claim 4)

[1403] 2. The system according to claim 1, further comprising information optimization means for optimizing the information obtained by said analysis means based on the user's emotions and providing the information. [Explanation of symbols]

[1404] 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. an imaging means operated by a user to point at an object; a compression and encryption means for compressing and encrypting image data acquired by the photographing means; a transmitting means for transmitting the image data encrypted by the encrypting means to a server; a receiving means for receiving the image data transmitted by the transmitting means; analysis means for decoding and analyzing the image data received by the receiving means; an information collection means for collecting related information based on the identification information obtained by the analysis means; an information display means for organizing the information obtained by the information collection means and providing it to a user; A system including:

2. 2. The system of claim 1, wherein the analysis means uses a generative AI model.

3. 2. The system of claim 1, wherein the encryption and decryption means use the AES-256 algorithm.

Images