system

Abstract

Provide a system. [Solution] A terminal acquires product identification information input by a user; A means for the terminal to generate an HTTP request including the acquired product identification information and transmit the HTTP request to the server; A means for the server to extract product identification information from the received HTTP request and search a database; a means for the server to generate product inventory information based on the search results and respond to the terminal; a means for displaying the product inventory information received from the server to the user in the terminal; 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 recent years, the demand for online shopping and remote inventory management has rapidly increased. However, conventional inventory management systems are unable to respond quickly to user requests or may not provide accurate inventory information. This results in a poor user experience. Furthermore, complex systems are expensive to implement. There is a need for a system that can solve these problems, provide fast and accurate inventory information, and be implemented at low cost. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a system including: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and sends it to a server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; and a terminal that displays the product inventory information received from the server to the user. This allows users to quickly and easily acquire inventory information, improving the efficiency and reliability of online shopping and inventory management.

[0006] A "terminal" is an electronic device that allows a user to perform input operations and has the function of communicating with a server via the Internet.

[0007] "User" means a person or end user who utilizes the system to input product identification information and obtain inventory information.

[0008] "Product Identification" means a unique code or number used to identify a particular product.

[0009] An "HTTP request" is a form of data communication that allows a terminal to request the server to retrieve or send information.

[0010] A "server" is a computer system that has the function of receiving a request from a terminal, searching a database, and returning a response.

[0011] A "database" is a data management system that stores product inventory information corresponding to product identification information and provides information in response to appropriate queries.

[0012] "Product inventory information" is data that includes inventory quantities and other related information for specific products.

[0013] The "JSON format" is a lightweight data exchange format for structuring and representing data, and is primarily composed of key-value pairs.

[0014] The "GET method" is a type of HTTP request used to retrieve data from a specified resource.

[0015] "User experience" is a concept that refers to the overall satisfaction and ease of use that users feel when using a system or service.

[0016] The above are definitions of important terms included in the claims. [Brief explanation of the drawings]

[0017] [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 illustrating 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

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] 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).

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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."

[0038] The present invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal and displays that information. This system is mainly composed of a terminal, a server, and a database.

[0039] System Configuration

[0040] Device:

[0041] The terminal provides an interface for the user to input product identification information. The user enters the product identification information into the input field of the terminal and presses the confirmation button. The terminal acquires this information and generates an HTTP request.

[0042] server:

[0043] The server receives an HTTP request sent from the terminal. The request includes product identification information entered by the user. The server analyzes this product identification information and searches the database to obtain the corresponding product inventory information.

[0044] Database:

[0045] The database is a data management system that stores product identification information and corresponding product inventory information. Information such as the number of items in stock corresponding to the product identification information is stored. The server references this database to obtain product inventory information.

[0046] Program processing

[0047] Device:

[0048] The program on the terminal acquires the product identification information entered by the user, then generates an HTTP request including the product identification information, and sends this request to the server.

[0049] server:

[0050] When the program on the server receives an HTTP request, it extracts product identification information from the parameters in the request, then searches the database to obtain the corresponding product inventory information, converts the obtained information into JSON format, and sends it to the terminal as a response.

[0051] Device:

[0052] The terminal receives the response from the server. If the response is successful (HTTP status code 200), it analyzes the contents. The product inventory information obtained as a result of the analysis is displayed to the user. The displayed information includes the product name and the number of items in stock.

[0053] Specific examples

[0054] User Action:

[0055] The user enters the product identification information "A101" into the input field on the terminal and presses the confirmation button. The terminal acquires this product identification information, generates an HTTP request, and sends the request to the server.

[0056] Server process:

[0057] The server processes the HTTP request received from the terminal and extracts the product identification information "A101." It searches the database and confirms that there are 10 units of product A in stock. It then converts this information into JSON format and returns a response to the terminal that includes the name of "product A" and the stock quantity "10."

[0058] Terminal display:

[0059] The terminal parses the JSON format response received from the server and displays the information "Product ID: A101, Inventory information: Product A - Quantity in stock: 10" to the user. By looking at this, the user can check the stock status of Product A.

[0060] The above is a specific embodiment for carrying out the present invention. This system allows users to quickly and accurately obtain product inventory information and enjoy a seamless online shopping experience.

[0061] The processing flow will be explained below.

[0062] Step 1:

[0063] The user enters the product identification information (e.g., "A101") into the input field on the terminal and presses the confirmation button.

[0064] Step 2:

[0065] The terminal acquires the product identification information entered by the user, and stores this information in a variable for use in subsequent processing.

[0066] Step 3:

[0067] The terminal generates an HTTP request containing the obtained product identification information. The request is sent to a specific endpoint (e.g., " / check_stock") on the server using the HTTP GET method.

[0068] Step 4:

[0069] The terminal sends the generated HTTP request to the server, which includes the product identification information as a parameter.

[0070] Step 5:

[0071] The server receives the HTTP request from the terminal, analyzes the request URL and parameters, and extracts the product identification information (e.g., "A101").

[0072] Step 6:

[0073] The server searches the database and queries the inventory information corresponding to the extracted product identification information. The database stores product IDs and corresponding product inventory information (e.g., stock quantity).

[0074] Step 7:

[0075] The server generates product inventory information based on the search results. The generated information is converted to JSON format. This information includes the product name and stock quantity (e.g., {"name": "Product A", "stock": 10}).

[0076] Step 8:

[0077] The server sends a JSON-formatted response to the terminal, which includes inventory information corresponding to the product identification information.

[0078] Step 9:

[0079] The terminal receives the response received from the server. First, it checks the HTTP status code, and if the response is successful (200 OK), it parses the JSON data.

[0080] Step 10:

[0081] The terminal extracts the product name and stock quantity from the parsed JSON data and displays this information in a user-friendly format (e.g., "Product ID: A101, Stock Information: Product A - Stock Quantity: 10").

[0082] Step 11:

[0083] The user checks the product inventory information displayed on the terminal and takes the following action if necessary.

[0084] The above are the specific processing steps of the program in the present invention. These steps allow the user to quickly and accurately obtain inventory information, enabling the entire system to operate effectively.

[0085] Example 1

[0086] 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."

[0087] In conventional online shopping systems, when users input product identification information to obtain product inventory information, delays and uncertainty in information occur. This can degrade the user experience and, in some cases, result in lost product sales opportunities. The present invention aims to solve these problems and provide users with fast and accurate product inventory information.

[0088] 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.

[0089] In this invention, the server includes means for extracting product identification information from a received HTTP request, means for searching a data storage device, and means for generating product inventory information in a structured data format based on the search results and responding to the terminal, thereby enabling the provision of fast and accurate product inventory information.

[0090] A "terminal" is an electronic device that allows a user to input product identification information and transmit and receive information.

[0091] A "user" is an individual or organization that uses the system to input product identification information and obtain product inventory information.

[0092] "Product identification information" is a unique code or character string that identifies a particular product.

[0093] An "HTTP request" is a request message based on a protocol for transmitting information from a terminal to a server.

[0094] A "server" is a computer system that analyzes HTTP requests received from terminals, searches a data storage device, and returns information.

[0095] The "data storage device" is a storage medium for storing data such as product identification information and corresponding product inventory information.

[0096] A "structured data format" is a data format, such as JSON or XML, in which data is structured according to a specific format.

[0097] The "search results" refer to inventory information corresponding to the product identification information obtained from the data storage device.

[0098] A "response" is a message containing information that the server sends back to the terminal.

[0099] The "retrieval method" refers to the GET method for retrieving data in an HTTP request.

[0100] The above are definitions of important terms contained in the claims.

[0101] The present invention is a system that acquires and displays product inventory information based on product identification information input by a user using a terminal. This system is mainly composed of a terminal, a server, and a data storage device.

[0102] Hardware and software used

[0103] Terminal

[0104] The terminal provides an interface for the user to enter product identification information. This can be a computer, smartphone, tablet, or other electronic device. The terminal runs software that generates and sends HTTP requests to the server.

[0105] server

[0106] A server is a computer system that receives HTTP requests sent from terminals and performs analysis and data processing. Web server software (such as Apache (registered trademark) or Nginx) is installed on the server to process the requests.

[0107] Data Storage Device

[0108] The data storage device is a database that stores product identification information and corresponding product inventory information. An SQL database (e.g., MySQL (registered trademark) or PostgreSQL) is typically used.

[0109] Program processing

[0110] Device:

[0111] The program on the terminal acquires the product identification information entered by the user, then generates an HTTP request including the product identification information, and sends this request to the server.

[0112] server:

[0113] When the program on the server receives an HTTP request, it extracts product identification information from the parameters in the request, then searches the database to obtain the corresponding product inventory information, converts the obtained information into a structured data format (e.g., JSON format), and sends it to the terminal as a response.

[0114] Device:

[0115] The terminal receives the response from the server. If the response is successful (for example, HTTP status code 200), it analyzes the contents. The product inventory information obtained as a result of the analysis is displayed to the user. The displayed information includes the product name and the number of items in stock.

[0116] Specific examples

[0117] 1. User enters product identification information:

[0118] The user enters the product identification information "A101" into the input field on the terminal and presses the confirmation button. The terminal acquires this product identification information, generates an HTTP request, and sends the request to the server.

[0119] 2. Server processing of request and data retrieval:

[0120] The server processes the HTTP request received from the terminal and extracts the product identification information "A101." It searches the database and confirms that there are 10 units of "Product A" in stock. It then converts this information into structured data (JSON format) and returns a response to the terminal that includes the name of "Product A" and the stock quantity "10."

[0121] 3. Terminal displays the response:

[0122] The terminal parses the JSON format response received from the server and displays the information "Product ID: A101, Stock information: Product A - Stock quantity: 10" to the user. The user can check the stock status of Product A by looking at this.

[0123] Example prompts using generative AI

[0124] For example, you can enter the following prompt sentence for a generative AI model (e.g., ChatGPT®):

[0125] "Please explain in detail the processing steps of the system that checks inventory information using product identification information A101."

[0126] This allows the generative AI model to output each of the steps mentioned above in detail.

[0127] This system allows users to quickly and accurately obtain product inventory information, providing a smooth online shopping experience.

[0128] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0129] I understand. Now, I will explain the processing flow of the system program by dividing it into processing steps as follows.

[0130] Program processing flow

[0131] Step 1: User Input

[0132] The user inputs product identification information into the input field of the terminal and presses the confirmation button. The input product identification information is acquired by the terminal.

[0133] input:

[0134] The user enters product identification information (e.g., "A101")

[0135] Operation:

[0136] The user enters the product identification information on the terminal screen and presses the confirmation button.

[0137] output:

[0138] The device acquires product identification information

[0139] Step 2: Submit product identification information

[0140] The terminal generates an HTTP request including the acquired product identification information and sends the request to the server.

[0141] input:

[0142] Acquired product identification information (e.g., "A101")

[0143] Data processing:

[0144] The device generates an HTTP request containing product identification information

[0145] Operation:

[0146] The terminal generates an HTTP request including the product identification information "A101" and sends it to the server via the network.

[0147] output:

[0148] HTTP request sent to the server

[0149] Step 3: Receiving and parsing the request on the server side

[0150] When the server receives the HTTP request, it extracts the product identification information from the request.

[0151] input:

[0152] HTTP request sent to the server

[0153] Data processing:

[0154] The server extracts product identification information from the HTTP request

[0155] Operation:

[0156] The server extracts the product identification information "A101" from the received request.

[0157] output:

[0158] Extracted product identification information

[0159] Step 4: Database Search

[0160] The server searches the database based on the extracted product identification information and obtains the corresponding product inventory information.

[0161] input:

[0162] Extracted product identification information (e.g., "A101")

[0163] Data processing:

[0164] The server searches the data storage device and obtains product inventory information.

[0165] Operation:

[0166] The server searches the database using "A101" as a key. For example, it retrieves information such as "Product name: Product A, Stock quantity: 10."

[0167] output:

[0168] Retrieved product inventory information

[0169] Step 5: Generate a response

[0170] The server converts the acquired product inventory information into a structured data format (for example, JSON format) and sends it to the terminal as a response.

[0171] input:

[0172] Retrieved product inventory information (e.g., "Product name: Product A, Stock quantity: 10")

[0173] Data processing:

[0174] Serialize product inventory information into JSON format

[0175] Operation:

[0176] The server converts the information "Product name: Product A, Stock quantity: 10" into JSON format and includes it in the HTTP response to the terminal.

[0177] output:

[0178] JSON-formatted response sent to the device

[0179] Step 6: Receive and display the response

[0180] The device receives a JSON-formatted response from the server, parses the contents, and displays it to the user.

[0181] input:

[0182] JSON response sent from the server

[0183] Data processing:

[0184] Parse the JSON response

[0185] Operation:

[0186] The terminal analyzes the JSON response received from the server and displays it on the screen in the format "Product ID: A101, Product name: Product A, Quantity in stock: 10".

[0187] output:

[0188] Product availability information displayed to users

[0189] This allows users to quickly and accurately check product inventory information, significantly improving the convenience and efficiency of online shopping.

[0190] (Application example 1)

[0191] 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."

[0192] In logistics centers, conventional inventory management systems make it difficult to improve operational efficiency because it takes time to input product identification information and obtain inventory information. In addition, in a work environment where quick and accurate inventory information is required, operating a handheld device is labor-intensive, making it difficult to check inventory in real time.

[0193] 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.

[0194] In this invention, the server includes: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and sends it to the server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; a terminal that displays the product inventory information received from the server to the user; and a terminal that acquires unique identification information using a voice input device or a code reader and uses that information to instantly display inventory information. This enables workers at the logistics center to quickly and accurately check inventory information through voice input or QR code (registered trademark) reading.

[0195] A "terminal" is an electronic device into which a user inputs data such as product identification information and processes the input data.

[0196] A "user" is someone who wants to use the system to check product inventory information.

[0197] "Product identification information" is a code or information for uniquely identifying a specific product.

[0198] An "HTTP request" is a communication message used by a client (terminal) to request or send information to a server.

[0199] A "server" is a computer system that receives requests from clients, processes them, and returns responses.

[0200] "Database" means a data management system for managing product identification information and product-related data (e.g., inventory quantity).

[0201] "Inventory information" is data including the inventory quantity and status of a specific product.

[0202] A "voice input device" is a device that allows a user to input voice commands into a system.

[0203] A "code reading device" is a device for reading code information such as barcodes and QR codes.

[0204] A "visual display device" is a display device, such as a monitor or screen, that visually presents information to a user.

[0205] "Immediately" means obtaining results quickly and without delay.

[0206] "Search results" refers to information obtained by the server searching the database.

[0207] "Generation" means creating and preparing the necessary information or data.

[0208] A "response" is a confirmation or reply message sent from the server to the client (terminal).

[0209] System Overview

[0210] The present invention is a system that instantly acquires product inventory information based on product identification information entered by a user using a voice input device or a code reader, and displays it on a visual display device. This system is mainly composed of a terminal, a server, and a database.

[0211] Terminal configuration and operation

[0212] The terminal provides an interface for the user to input product identification information. The user inputs the product identification information by voice using a voice input device, or by reading a QR code or the like using a code reader. The terminal acquires this information, generates an HTTP request, and sends it to the server.

[0213] example:

[0214] The user puts on the smart glasses and either voice-commands "Tell me the stock information for product A" or scans the product's QR code with the smart glasses' camera.

[0215] Server configuration and operation

[0216] The server receives an HTTP request sent from the terminal. The request includes product identification information entered by the user. The server analyzes this product identification information, searches the database to obtain the corresponding product inventory information, converts the obtained information into JSON format, and sends it to the terminal as a response.

[0217] example:

[0218] The server searches the database based on the identification information for "Product A" received from the terminal and confirms that the stock of Product A is 10. It converts this information into JSON format and returns it to the terminal.

[0219] Configuring the Database

[0220] The database is a data management system that stores product identification information and corresponding product inventory information. Information such as the number of items in stock corresponding to the product identification information is stored. The server references this database to obtain product inventory information.

[0221] example:

[0222] The database stores the product name "Product A" and the stock quantity "10" corresponding to the product identification information "A101."

[0223] Device display features

[0224] The terminal receives the response from the server, analyzes it, and displays the product inventory information to the user. The displayed information includes the product name and the number of items in stock.

[0225] example:

[0226] The device parses the JSON response received from the server, "Product ID: A101, Inventory information: Product A - Stock quantity: 10," and displays "The stock quantity of product A is 10" on the smart glasses display.

[0227] Hardware and software used

[0228] Hardware: Smart glasses (e.g., Google® Glass®, Vuzix), QR code readers, voice input devices

[0229] Software: Python, Flask (server side), Requests (HTTP client)

[0230] Examples of specific examples and prompts

[0231] Example - Input using a QR code reader:

[0232] The user uses the camera on the smart glasses to read the QR code, which contains the product identifier (e.g., "A101"), and the application generates an HTTP request based on the encoded product identifier and sends it to the server.

[0233] Prompt Sentence Examples

[0234] "Please tell me the stock information for product A."

[0235] "Check out this item: A101"

[0236] In this way, the system of the present invention can quickly and accurately obtain inventory information at the distribution center, thereby improving operational efficiency.

[0237] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0238] Step 1:

[0239] The device acquires product identification information

[0240] The user uses a voice input device to input product identification information by voice. The device converts this voice into text using voice recognition software (e.g., Google Cloud Speech-to-Text). Alternatively, the user uses a code reading device to scan a QR code. The device obtains product identification information using a QR code reader. The input here is the user's voice command or QR code, and the output is product identification information in text format.

[0241] Step 2:

[0242] Creating and sending an HTTP request

[0243] The terminal generates an HTTP request (GET method) that includes the acquired product identification information. The request includes the product identification information entered by the user as a parameter. To send this HTTP request, the terminal uses the Requests library or other HTTP client software. The input is the product identification information in text format, and the output is the HTTP request sent to the server.

[0244] Step 3:

[0245] The server receives the HTTP request and extracts the product identification information

[0246] The server receives the HTTP request sent from the terminal. It uses a framework such as Flask to extract product identification information from the parameters in the HTTP request. The input here is the HTTP request, and the output is the extracted product identification information in text format.

[0247] Step 4:

[0248] Search the database and get product inventory information

[0249] The server searches the database based on the extracted product identification information. The database can be of SQL or NoSQL type. The search process retrieves inventory information corresponding to the product identification information. The input is the extracted product identification information, and the output is inventory information as a search result.

[0250] Step 5:

[0251] Convert product inventory information to JSON format and generate a response from the server

[0252] The server converts the acquired inventory information into JSON format and sends it to the terminal as an HTTP response. The JSON response is generated using Flask's response library. The input is the inventory information from the search results, and the output is the JSON-formatted inventory information sent to the terminal.

[0253] Step 6:

[0254] The device receives the response from the server and analyzes the inventory information.

[0255] The terminal receives and parses the JSON response from the server. The parsing process uses a JSON parser library to extract the necessary information (e.g., product name, stock quantity) from the JSON data. The input is the JSON response received from the server, and the output is the parsed stock information.

[0256] Step 7:

[0257] The device displays the analyzed inventory information to the user.

[0258] The terminal displays the parsed inventory information on a visual display device (e.g., the display of smart glasses). The display process uses display control software to present the inventory information to the user in a format that is easy to understand. The input is the parsed inventory information, and the output is the information visually displayed on the display.

[0259] Through the above steps, the user can quickly and accurately check product inventory information.

[0260] 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.

[0261] This invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal, displays that information, and also combines it with an emotion engine that recognizes the user's emotions. This system is mainly composed of a terminal, a server, a database, and an emotion engine.

[0262] System Configuration

[0263] Device:

[0264] The terminal provides an interface for the user to input product identification information. The user enters the product identification information into the terminal's input field and presses the confirmation button. The terminal acquires this information and generates an HTTP request. The terminal also has a built-in emotion engine that can recognize emotions by analyzing the user's voice and facial expressions.

[0265] server:

[0266] The server receives an HTTP request sent from the terminal. The request includes product identification information entered by the user. The server analyzes this product identification information and searches the database to obtain the corresponding product inventory information.

[0267] Database:

[0268] The database is a data management system that stores product identification information and corresponding product inventory information. Information such as the number of items in stock corresponding to the product identification information is stored. The server references this database to obtain product inventory information.

[0269] Emotion Engine:

[0270] The emotion engine is installed in the device and analyzes the user's emotions from their voice and facial expressions. Based on the analysis results, it determines, for example, whether the user is satisfied or dissatisfied with inventory information. The emotion engine has the function of providing specific suggestions and feedback depending on the user's emotions.

[0271] Program processing

[0272] Device:

[0273] The program on the device acquires the product identification information entered by the user. It then generates an HTTP request, which includes the product identification information. It then sends this request to the server. It also acquires the user's emotions using the device's camera and microphone, which are then analyzed by the emotion engine.

[0274] server:

[0275] When the program on the server receives an HTTP request, it extracts product identification information from the parameters in the request, then searches the database to obtain the corresponding product inventory information, converts the obtained information into JSON format, and sends it to the terminal as a response.

[0276] Device:

[0277] The terminal receives a response from the server. If the response is successful (HTTP status code 200), it analyzes the contents. The product inventory information obtained as a result of the analysis is displayed to the user. The displayed information includes the product name and the number of items in stock. The emotion engine also analyzes the user's emotions and suggests the next action based on the results. For example, if the user expresses dissatisfaction with a low stock, it will suggest an alternative product or recommend setting up notifications when the item is back in stock.

[0278] Specific examples

[0279] User Action:

[0280] The user enters the product identification information "A101" into the input field on the device and presses the confirmation button. The device acquires this product identification information and generates an HTTP request. The request is sent to the server. The device's camera also reads the user's facial expression, and the emotion engine begins analysis.

[0281] Server process:

[0282] The server processes the HTTP request received from the terminal and extracts the product identification information "A101." It searches the database and confirms that there are 10 units of product A in stock. It then converts this information into JSON format and returns a response to the terminal that includes the name of "product A" and the stock quantity "10."

[0283] Terminal display:

[0284] The device analyzes the JSON response received from the server and displays the following information to the user: "Product ID: A101, Inventory Information: Product A - Quantity in Stock: 10." By looking at this, the user can check the stock status of Product A. At the same time, the emotion engine analyzes the user's emotions from their facial expressions, and if the user is satisfied, for example, it will suggest "proceed to the purchase process for Product A."

[0285] The above is a specific embodiment for carrying out the present invention. This system allows users to quickly and accurately obtain product inventory information, and also allows users to receive suggestions and support that are tailored to their own emotions.

[0286] The processing flow will be explained below.

[0287] Step 1:

[0288] The user enters the product identification information (e.g., "A101") into the input field on the terminal and presses the confirmation button.

[0289] Step 2:

[0290] The terminal acquires the product identification information entered by the user, and stores this information in a variable for use in subsequent processing.

[0291] Step 3:

[0292] The terminal generates an HTTP request containing the obtained product identification information. The request is sent to a specific endpoint (e.g., " / check_stock") on the server using the HTTP GET method.

[0293] Step 4:

[0294] The terminal sends the generated HTTP request to the server, which includes the product identification information as a parameter.

[0295] Step 5:

[0296] The server receives the HTTP request from the terminal, analyzes the request URL and parameters, and extracts the product identification information (e.g., "A101").

[0297] Step 6:

[0298] The server searches the database and queries the inventory information corresponding to the extracted product identification information. The database stores product IDs and corresponding product inventory information (e.g., stock quantity).

[0299] Step 7:

[0300] The server generates product inventory information based on the search results. The generated information is converted to JSON format. This information includes the product name and stock quantity (e.g., {"name": "Product A", "stock": 10}).

[0301] Step 8:

[0302] The server sends a JSON-formatted response to the terminal, which includes inventory information corresponding to the product identification information.

[0303] Step 9:

[0304] The terminal receives the response received from the server. First, it checks the HTTP status code, and if the response is successful (200 OK), it parses the JSON data.

[0305] Step 10:

[0306] The terminal extracts the product name and stock quantity from the parsed JSON data and displays this information in a user-friendly format (e.g., "Product ID: A101, Stock Information: Product A - Stock Quantity: 10").

[0307] Step 11:

[0308] The user checks the product inventory information displayed on the terminal and takes the following action if necessary.

[0309] Step 12:

[0310] The device captures the user's facial expressions with a camera and picks up their voice with a microphone.

[0311] Step 13:

[0312] The device's emotion engine analyzes the captured facial expressions and audio to recognize the user's emotion. For example, if the user is smiling, it is recognized as "satisfied."

[0313] Step 14:

[0314] The device generates appropriate suggestions based on the user's emotions, for example, "Proceed to checkout" if the user is satisfied with the inventory information.

[0315] Step 15:

[0316] The device displays suggestions to the user and prompts them for their next action.

[0317] The above are the specific processing steps of the program of the present invention, which allow users to quickly and accurately obtain inventory information and receive emotionally appropriate suggestions, providing a more personalized experience.

[0318] Example 2

[0319] 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."

[0320] There is a need for a system that allows users to quickly and accurately obtain product inventory information based on product identification information, and also allows them to receive appropriate suggestions and support based on their emotions. Conventional systems lack the functionality to analyze user emotions, which limits the user experience.

[0321] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0322] In this invention, the server includes: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and transmits it to the server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; a terminal that analyzes the information received from the server and displays it to the user; an emotion engine installed in the terminal that acquires and analyzes the user's emotions; and an emotion engine that makes suggestions to the user based on the analysis results. This allows the user to not only acquire product inventory information but also receive suggestions and support according to their emotions.

[0323] A "terminal" is a device that allows a user to input product identification information. It is primarily equipped with an input field, a camera, and a microphone, and is used to generate HTTP requests and acquire and analyze emotion data.

[0324] A "server" is a device that receives HTTP requests sent from terminals, analyzes product identification information, searches a database, and generates product inventory information.

[0325] A "database" is a data management system that stores product identification information and corresponding product inventory information for search by the server.

[0326] An "HTTP request" is a request that includes product identification information input by a user through a terminal and is sent from the terminal to a server.

[0327] "Product identification information" is information that a user inputs into a terminal to identify a specific product.

[0328] "Product inventory information" is data that includes the inventory quantity and related detailed information for a specific product.

[0329] An "emotion engine" is software or a system that recognizes a user's emotions by acquiring and analyzing the user's voice and facial expression data.

[0330] "Suggestions" are recommended actions or support provided to users by the emotion engine based on the analysis results.

[0331] This invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal, displays that information, and also combines it with an emotion engine that recognizes the user's emotions. The main components are a terminal, a server, a database, and an emotion engine. The role of each component and the program processing will be explained in order.

[0332] System Configuration

[0333] Terminal

[0334] Device functions: Provides an interface for users to input product identification information. Equipped with an input field, camera, and microphone, it generates HTTP requests and acquires and analyzes emotion data.

[0335] Software example: Implemented as a browser-based web application or a mobile application.

[0336] Examples of hardware include: common computing devices such as smartphones, tablets, and personal computers.

[0337] server

[0338] Server function: Analyzes product identification information based on the HTTP request sent from the terminal, searches the database, and obtains product inventory information.

[0339] Examples of software: web servers (Apache, Nginx, etc.), application servers (Node.js, Django, etc.).

[0340] Examples of hardware: cloud servers (AWS (registered trademark), Google Cloud, etc.), or physical servers within a company.

[0341] Database

[0342] Database function: Stores and manages product identification information and corresponding product inventory information.

[0343] Examples of software: relational databases (MySQL, PostgreSQL, etc.), NoSQL databases (MongoDB, etc.).

[0344] Examples of hardware: cloud database services, physical database servers.

[0345] Emotion Engine

[0346] Emotion engine function: Analyzes emotions from the user's voice and facial expressions, and provides suggestions and feedback based on the results.

[0347] Examples of software include: emotion recognition algorithms (e.g., Microsoft® Azure® Emotion API, Google Emotion AI).

[0348] Examples of hardware include cameras and microphones built into devices.

[0349] Program processing

[0350] Terminal

[0351] The user enters product identification information into the input field on the device and presses the confirmation button. The device acquires this information, generates an HTTP request, and sends it to the server. At the same time, the device's built-in camera and microphone are used to acquire the user's emotional data, which is then analyzed by the emotion engine.

[0352] server

[0353] The server analyzes the HTTP request received from the terminal and extracts the product identification information. It then searches the database to obtain the corresponding product inventory information. It converts the obtained information into JSON format and returns it to the terminal.

[0354] Terminal (continued)

[0355] The device analyzes the product inventory information received from the server and displays it to the user. At the same time, the emotion engine provides appropriate suggestions and feedback based on the analyzed emotion data.

[0356] Specific examples

[0357] The user enters the product identification information "A101" into the input field on the terminal and presses the confirmation button. The terminal obtains this product identification information, generates an HTTP request, and sends it to the server. The terminal's camera then captures the user's facial expression, and the microphone records audio, which the emotion engine analyzes. The server analyzes the received HTTP request, extracts the product identification information "A101," and searches the database. It confirms that there are 10 units of product A in stock, converts this information into JSON format, and sends it back to the terminal. The terminal displays the product ID "A101" and the inventory information "Product A - Stock quantity: 10" to the user, and the emotion engine makes suggestions such as "Proceed to purchase checkout for product A" based on the results of the user's emotion analysis.

[0358] Prompt Sentence Examples

[0359] Please enter the product identification information in the input field, for example, "A101". Then press the confirm button.

[0360] After pressing the confirm button, please wait while we retrieve product information. Additionally, please wait a moment while the camera and microphone analyze your face and voice.

[0361] The above describes a specific embodiment of the present invention. This system allows users to quickly and accurately obtain product inventory information and receive suggestions based on their emotions.

[0362] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0363] Step 1:

[0364] The user enters product identification information

[0365] Operation: The user enters product identification information such as "A101" into the input field on the terminal and presses the confirmation button.

[0366] Input: Product identification information (e.g. "A101")

[0367] Output: The entered product identification information is imported into the terminal system.

[0368] Step 2:

[0369] The device generates an HTTP request and sends it to the server.

[0370] Operation: The terminal generates an HTTP request using the acquired product identification information and sends it to the server. For example, it generates a request in the format "GET / products?itemID=A101 HTTP / 1.1".

[0371] Input: Product identification information (e.g. "A101")

[0372] Output: The generated HTTP request (e.g. "GET / products?itemID=A101 HTTP / 1.1") is sent to the server.

[0373] Step 3:

[0374] The device acquires the user's emotional data and analyzes it using an emotion engine.

[0375] How it works: The device's built-in camera and microphone capture the user's facial expressions and voice, which are then analyzed by the emotion engine.

[0376] Input: User's voice data and facial expression data

[0377] Output: Analyzed emotion data (e.g., "satisfied," "dissatisfied," etc.)

[0378] Step 4:

[0379] The server receives the HTTP request and extracts the product identification information

[0380] Operation: The server analyzes the HTTP request received from the terminal and extracts the product identification information "A101."

[0381] Input: HTTP request (e.g. "GET / products?itemID=A101 HTTP / 1.1")

[0382] Output: Product identification information extraction result (e.g. "A101")

[0383] Step 5:

[0384] The server searches the database to obtain product inventory information

[0385] Operation: The server searches the database and retrieves the corresponding product stock information. For example, it confirms that there are 10 units of product A in stock.

[0386] Input: Extracted product identification information (e.g. "A101")

[0387] Output: Product inventory information (e.g. "Product A", quantity in stock: 10")

[0388] Step 6:

[0389] The server converts the acquired information into JSON format and sends a response to the device.

[0390] Operation: The server converts the acquired product information into JSON format and sends it to the terminal as a response.

[0391] Input: Product inventory information (e.g. "Product A", quantity in stock: 10")

[0392] Output: Response data in JSON format (e.g., "{"itemID": "A101", "name": "Product A", "stock": 10}")

[0393] Step 7:

[0394] The terminal receives the response from the server, analyzes the product inventory information, and displays it.

[0395] Operation: The terminal analyzes the response received from the server and displays the information "Product ID: A101, Stock information: Product A - Stock quantity: 10" to the user.

[0396] Input: Response data from the server (e.g., "{"itemID": "A101", "name": "Product A", "stock": 10}")

[0397] Output: Product inventory information to be displayed (e.g. "Product ID: A101, Inventory information: Product A - Quantity in stock: 10")

[0398] Step 8:

[0399] The device makes appropriate suggestions to the user based on the analysis results of the emotion engine.

[0400] How it works: The device's emotion engine makes appropriate suggestions to the user based on the analysis results. For example, if a user is dissatisfied with a shortage of stock, it will suggest alternative products or recommend setting up notifications when new stock arrives.

[0401] Input: Analysis result of emotion engine (e.g. "dissatisfied")

[0402] Output: Proposal content (e.g. "If there is a shortage of stock, would you like to suggest substitute item B101?")

[0403] (Application example 2)

[0404] 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."

[0405] Conventional online shopping sites allow users to input product identification information to obtain inventory information, but lack the functionality to provide feedback and suggestions that take user emotions into account. As a result, the inconvenience and dissatisfaction experienced by users when faced with negative information such as inventory shortages are not fully resolved. Furthermore, the lack of action suggestions based on user emotions prevents an improvement in the user experience.

[0406] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0407] In this invention, the server includes: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and transmits it to the server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; a terminal that displays the product inventory information received from the server to the user; a terminal that analyzes the user's emotions using an emotion engine that recognizes the user's emotions; and a terminal that suggests a next action based on the user's emotions analyzed by the emotion engine. This improves the user experience and eliminates the inconvenience and dissatisfaction that users may experience when receiving negative information, such as inventory shortages.

[0408] A "terminal" is a device that provides an interface for a user to input product identification information.

[0409] "Product identification information" is information for uniquely identifying a specific product.

[0410] An "HTTP request" is a communication protocol for sending data such as product identification information to a server.

[0411] A "server" is a device that receives an HTTP request, analyzes the product identification information, searches a database, and returns the results to the terminal.

[0412] A "database" is a system that manages product identification information and corresponding product inventory information.

[0413] "Product inventory information" refers to information such as the number of items in stock for a particular product.

[0414] An "emotion engine" is software or hardware that analyzes the user's voice and facial expressions and recognizes their emotions.

[0415] "Analysis" is the process of analyzing acquired data to obtain meaningful information.

[0416] "Action suggestion" refers to suggesting the next action to be taken based on the user's emotions.

[0417] "Emotion data" is information about emotions obtained from the user's voice and facial expressions.

[0418] The present invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal, displays that information, and combines it with an emotion engine that recognizes the user's emotions. This system is primarily composed of a terminal, a server, a database, and an emotion engine. Specific embodiments for implementing this system are described below.

[0419] Terminal

[0420] The terminal is equipped with an interface for the user to input product identification information. The user can enter the product identification information in the input field of the terminal and send the information by pressing a confirmation button. The terminal also has a built-in emotion engine that uses a camera and microphone to capture the user's facial expressions and voice and recognize their emotions.

[0421] server

[0422] The server is responsible for receiving HTTP requests sent from the terminal. The received request contains the product identification information entered by the user. The server analyzes the product identification information and searches the database to obtain the corresponding product inventory information.

[0423] Database

[0424] The database is a system for managing product identification information and corresponding product inventory information. It stores the number of items in stock corresponding to the product identification information and other related information. The server references this database to obtain the necessary inventory information.

[0425] Emotion Engine

[0426] An emotion engine is software or hardware for analyzing a user's emotions. It captures the user's facial expressions and voice data from a camera or microphone, analyzes them, and recognizes the user's emotions. For example, if a user expresses dissatisfaction with inventory information, it can suggest alternative products or set up notifications for inventory replenishment.

[0427] Specific examples

[0428] For example, suppose a user enters product identification information "A101" into the input field on their device and confirms it. In this case, the device generates an HTTP request and sends it to the server. The server processes the request, searches the database for product identification information "A101," and obtains stock information for product A. The obtained information is returned to the device in JSON format. The device analyzes this information and displays to the user, "There are 10 units of product A in stock." At the same time, the emotion engine analyzes the user's facial expression and, if the user is satisfied, suggests, for example, "Proceed to the purchase procedure for product A."

[0429] Prompt Sentence Examples

[0430] When a user enters "A101" as product identification information in the smartphone app and wants to check stock information, please implement a function that analyzes emotions and provides feedback based on the stock information.

[0431] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0432] Step 1:

[0433] The terminal acquires the product identification information input by the user.

[0434] Input: The user enters product identification information (e.g., "A101") into the device's input field.

[0435] Specific operation: The user enters product identification information in the input field and presses the confirmation button. The terminal acquires this product identification information and temporarily stores it.

[0436] Output: The retrieved product identification information.

[0437] Step 2:

[0438] The terminal generates an HTTP request including the acquired product identification information and transmits it to the server.

[0439] Input: The retrieved product identification information.

[0440] Specific operation: The terminal generates an HTTP request including product identification information and sends it to the server.

[0441] Output: Sending an HTTP request containing product identification information.

[0442] Step 3:

[0443] The server extracts the product identification information from the received HTTP request.

[0444] Input: The HTTP request sent from the device.

[0445] Specific operation: The server analyzes the received HTTP request and extracts the product identification information.

[0446] Output: Extracted product identification information.

[0447] Step 4:

[0448] The server searches the database and retrieves product inventory information.

[0449] Input: Extracted product identification information.

[0450] Specific operation: The server searches the database and obtains the corresponding product inventory information.

[0451] Output: Retrieved product inventory information.

[0452] Step 5:

[0453] The server converts the product inventory information into JSON format and responds to the terminal.

[0454] Input: Retrieved product inventory information.

[0455] Specific operation: The server converts product inventory information into JSON format and sends it to the terminal as a response.

[0456] Output: Product availability information sent in JSON format.

[0457] Step 6:

[0458] The terminal displays the product inventory information received from the server to the user.

[0459] Input: Product inventory information sent from the server in JSON format.

[0460] Specific operation: The terminal parses product inventory information in JSON format and displays it visually to the user.

[0461] Output: Product availability information displayed to the user.

[0462] Step 7:

[0463] The device uses a camera and microphone to acquire the user's emotional data and analyzes the emotions using an emotion engine.

[0464] Input: User's facial expressions and voice.

[0465] Specific operation: The device's camera and microphone capture the user's facial expressions and voice data, which is then analyzed by the emotion engine to recognize emotions.

[0466] Output: Parsed user emotion data.

[0467] Step 8:

[0468] The emotion engine analyzes the user's emotions and suggests the next action to take.

[0469] Input: Parsed user emotion data.

[0470] Specific operation: Based on the analysis results, the emotion engine will suggest alternative products or set up notifications for stock replenishment if the user is dissatisfied, for example.

[0471] Output: Specific suggestions and feedback to the user.

[0472] 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.

[0473] 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 (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.

[0474] 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.

[0475] [Second embodiment]

[0476] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0477] 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.

[0478] 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).

[0479] 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.

[0480] 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.

[0481] 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).

[0482] 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.

[0483] 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.

[0484] 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.

[0485] 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.

[0486] 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.

[0487] 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."

[0488] The present invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal and displays that information. This system is mainly composed of a terminal, a server, and a database.

[0489] System Configuration

[0490] Device:

[0491] The terminal provides an interface for the user to input product identification information. The user enters the product identification information into the input field of the terminal and presses the confirmation button. The terminal acquires this information and generates an HTTP request.

[0492] server:

[0493] The server receives an HTTP request sent from the terminal. The request includes product identification information entered by the user. The server analyzes this product identification information and searches the database to obtain the corresponding product inventory information.

[0494] Database:

[0495] The database is a data management system that stores product identification information and corresponding product inventory information. Information such as the number of items in stock corresponding to the product identification information is stored. The server references this database to obtain product inventory information.

[0496] Program processing

[0497] Device:

[0498] The program on the terminal acquires the product identification information entered by the user, then generates an HTTP request including the product identification information, and sends this request to the server.

[0499] server:

[0500] When the program on the server receives an HTTP request, it extracts product identification information from the parameters in the request, then searches the database to obtain the corresponding product inventory information, converts the obtained information into JSON format, and sends it to the terminal as a response.

[0501] Device:

[0502] The terminal receives the response from the server. If the response is successful (HTTP status code 200), it analyzes the contents. The product inventory information obtained as a result of the analysis is displayed to the user. The displayed information includes the product name and the number of items in stock.

[0503] Specific examples

[0504] User Action:

[0505] The user enters the product identification information "A101" into the input field on the terminal and presses the confirmation button. The terminal acquires this product identification information, generates an HTTP request, and sends the request to the server.

[0506] Server process:

[0507] The server processes the HTTP request received from the terminal and extracts the product identification information "A101." It searches the database and confirms that there are 10 units of product A in stock. It then converts this information into JSON format and returns a response to the terminal that includes the name of "product A" and the stock quantity "10."

[0508] Terminal display:

[0509] The terminal parses the JSON format response received from the server and displays the information "Product ID: A101, Inventory information: Product A - Quantity in stock: 10" to the user. By looking at this, the user can check the stock status of Product A.

[0510] The above is a specific embodiment for carrying out the present invention. This system allows users to quickly and accurately obtain product inventory information and enjoy a seamless online shopping experience.

[0511] The processing flow will be explained below.

[0512] Step 1:

[0513] The user enters the product identification information (e.g., "A101") into the input field on the terminal and presses the confirmation button.

[0514] Step 2:

[0515] The terminal acquires the product identification information entered by the user, and stores this information in a variable for use in subsequent processing.

[0516] Step 3:

[0517] The terminal generates an HTTP request containing the obtained product identification information. The request is sent to a specific endpoint (e.g., " / check_stock") on the server using the HTTP GET method.

[0518] Step 4:

[0519] The terminal sends the generated HTTP request to the server, which includes the product identification information as a parameter.

[0520] Step 5:

[0521] The server receives the HTTP request from the terminal, analyzes the request URL and parameters, and extracts the product identification information (e.g., "A101").

[0522] Step 6:

[0523] The server searches the database and queries the inventory information corresponding to the extracted product identification information. The database stores product IDs and corresponding product inventory information (e.g., stock quantity).

[0524] Step 7:

[0525] The server generates product inventory information based on the search results. The generated information is converted to JSON format. This information includes the product name and stock quantity (e.g., {"name": "Product A", "stock": 10}).

[0526] Step 8:

[0527] The server sends a JSON-formatted response to the terminal, which includes inventory information corresponding to the product identification information.

[0528] Step 9:

[0529] The terminal receives the response received from the server. First, it checks the HTTP status code, and if the response is successful (200 OK), it parses the JSON data.

[0530] Step 10:

[0531] The terminal extracts the product name and stock quantity from the parsed JSON data and displays this information in a user-friendly format (e.g., "Product ID: A101, Stock Information: Product A - Stock Quantity: 10").

[0532] Step 11:

[0533] The user checks the product inventory information displayed on the terminal and takes the following action if necessary.

[0534] The above are the specific processing steps of the program in the present invention. These steps allow the user to quickly and accurately obtain inventory information, enabling the entire system to operate effectively.

[0535] Example 1

[0536] 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."

[0537] In conventional online shopping systems, when users input product identification information to obtain product inventory information, delays and uncertainty in information occur. This can degrade the user experience and, in some cases, result in lost product sales opportunities. The present invention aims to solve these problems and provide users with fast and accurate product inventory information.

[0538] 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.

[0539] In this invention, the server includes means for extracting product identification information from a received HTTP request, means for searching a data storage device, and means for generating product inventory information in a structured data format based on the search results and responding to the terminal, thereby enabling the provision of fast and accurate product inventory information.

[0540] A "terminal" is an electronic device that allows a user to input product identification information and transmit and receive information.

[0541] A "user" is an individual or organization that uses the system to input product identification information and obtain product inventory information.

[0542] "Product identification information" is a unique code or character string that identifies a particular product.

[0543] An "HTTP request" is a request message based on a protocol for transmitting information from a terminal to a server.

[0544] A "server" is a computer system that analyzes HTTP requests received from terminals, searches a data storage device, and returns information.

[0545] The "data storage device" is a storage medium for storing data such as product identification information and corresponding product inventory information.

[0546] A "structured data format" is a data format, such as JSON or XML, in which data is structured according to a specific format.

[0547] The "search results" refer to inventory information corresponding to the product identification information obtained from the data storage device.

[0548] A "response" is a message containing information that the server sends back to the terminal.

[0549] The "retrieval method" refers to the GET method for retrieving data in an HTTP request.

[0550] The above are definitions of important terms contained in the claims.

[0551] The present invention is a system that acquires and displays product inventory information based on product identification information input by a user using a terminal. This system is mainly composed of a terminal, a server, and a data storage device.

[0552] Hardware and software used

[0553] Terminal

[0554] The terminal provides an interface for the user to enter product identification information. This can be a computer, smartphone, tablet, or other electronic device. The terminal runs software that generates and sends HTTP requests to the server.

[0555] server

[0556] A server is a computer system that receives HTTP requests sent from terminals, analyzes them, and processes the data. Web server software (such as Apache or Nginx) is installed on the server to process the requests.

[0557] Data Storage Device

[0558] The data storage device is a database that stores product identification information and corresponding product inventory information. An SQL database (e.g., MySQL or PostgreSQL) is typically used.

[0559] Program processing

[0560] Device:

[0561] The program on the terminal acquires the product identification information entered by the user, then generates an HTTP request including the product identification information, and sends this request to the server.

[0562] server:

[0563] When the program on the server receives an HTTP request, it extracts product identification information from the parameters in the request, then searches the database to obtain the corresponding product inventory information, converts the obtained information into a structured data format (e.g., JSON format), and sends it to the terminal as a response.

[0564] Device:

[0565] The terminal receives the response from the server. If the response is successful (for example, HTTP status code 200), it analyzes the contents. The product inventory information obtained as a result of the analysis is displayed to the user. The displayed information includes the product name and the number of items in stock.

[0566] Specific examples

[0567] 1. User enters product identification information:

[0568] The user enters the product identification information "A101" into the input field on the terminal and presses the confirmation button. The terminal acquires this product identification information, generates an HTTP request, and sends the request to the server.

[0569] 2. Server processing of request and data retrieval:

[0570] The server processes the HTTP request received from the terminal and extracts the product identification information "A101." It searches the database and confirms that there are 10 units of "Product A" in stock. It then converts this information into structured data (JSON format) and returns a response to the terminal that includes the name of "Product A" and the stock quantity "10."

[0571] 3. Terminal displays the response:

[0572] The terminal parses the JSON format response received from the server and displays the information "Product ID: A101, Stock information: Product A - Stock quantity: 10" to the user. The user can check the stock status of Product A by looking at this.

[0573] Example prompts using generative AI

[0574] For example, you can enter the following prompt for a generative AI model (e.g., ChatGPT):

[0575] "Please explain in detail the processing steps of the system that checks inventory information using product identification information A101."

[0576] This allows the generative AI model to output each of the steps mentioned above in detail.

[0577] This system allows users to quickly and accurately obtain product inventory information, providing a smooth online shopping experience.

[0578] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0579] I understand. Now, I will explain the processing flow of the system program by dividing it into processing steps as follows.

[0580] Program processing flow

[0581] Step 1: User Input

[0582] The user inputs product identification information into the input field of the terminal and presses the confirmation button. The input product identification information is acquired by the terminal.

[0583] input:

[0584] The user enters product identification information (e.g., "A101")

[0585] Operation:

[0586] The user enters the product identification information on the terminal screen and presses the confirmation button.

[0587] output:

[0588] The device acquires product identification information

[0589] Step 2: Submit product identification information

[0590] The terminal generates an HTTP request including the acquired product identification information and sends the request to the server.

[0591] input:

[0592] Acquired product identification information (e.g., "A101")

[0593] Data processing:

[0594] The device generates an HTTP request containing product identification information

[0595] Operation:

[0596] The terminal generates an HTTP request including the product identification information "A101" and sends it to the server via the network.

[0597] output:

[0598] HTTP request sent to the server

[0599] Step 3: Receiving and parsing the request on the server side

[0600] When the server receives the HTTP request, it extracts the product identification information from the request.

[0601] input:

[0602] HTTP request sent to the server

[0603] Data processing:

[0604] The server extracts product identification information from the HTTP request

[0605] Operation:

[0606] The server extracts the product identification information "A101" from the received request.

[0607] output:

[0608] Extracted product identification information

[0609] Step 4: Database Search

[0610] The server searches the database based on the extracted product identification information and obtains the corresponding product inventory information.

[0611] input:

[0612] Extracted product identification information (e.g., "A101")

[0613] Data processing:

[0614] The server searches the data storage device and obtains product inventory information.

[0615] Operation:

[0616] The server searches the database using "A101" as a key. For example, it retrieves information such as "Product name: Product A, Stock quantity: 10."

[0617] output:

[0618] Retrieved product inventory information

[0619] Step 5: Generate a response

[0620] The server converts the acquired product inventory information into a structured data format (for example, JSON format) and sends it to the terminal as a response.

[0621] input:

[0622] Retrieved product inventory information (e.g., "Product name: Product A, Stock quantity: 10")

[0623] Data processing:

[0624] Serialize product inventory information into JSON format

[0625] Operation:

[0626] The server converts the information "Product name: Product A, Stock quantity: 10" into JSON format and includes it in the HTTP response to the terminal.

[0627] output:

[0628] JSON-formatted response sent to the device

[0629] Step 6: Receive and display the response

[0630] The device receives a JSON-formatted response from the server, parses the contents, and displays it to the user.

[0631] input:

[0632] JSON response sent from the server

[0633] Data processing:

[0634] Parse the JSON response

[0635] Operation:

[0636] The terminal analyzes the JSON response received from the server and displays it on the screen in the format "Product ID: A101, Product name: Product A, Quantity in stock: 10".

[0637] output:

[0638] Product availability information displayed to users

[0639] This allows users to quickly and accurately check product inventory information, significantly improving the convenience and efficiency of online shopping.

[0640] (Application example 1)

[0641] 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."

[0642] In logistics centers, conventional inventory management systems make it difficult to improve operational efficiency because it takes time to input product identification information and obtain inventory information. In addition, in a work environment where quick and accurate inventory information is required, operating a handheld device is labor-intensive, making it difficult to check inventory in real time.

[0643] 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.

[0644] In this invention, the server includes: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and sends it to the server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; a terminal that displays the product inventory information received from the server to the user; and a terminal that acquires unique identification information using a voice input device or a code reader and uses that information to instantly display inventory information. This enables workers at the logistics center to quickly and accurately check inventory information through voice input or QR code reading.

[0645] A "terminal" is an electronic device into which a user inputs data such as product identification information and processes the input data.

[0646] A "user" is someone who wants to use the system to check product inventory information.

[0647] "Product identification information" is a code or information for uniquely identifying a specific product.

[0648] An "HTTP request" is a communication message used by a client (terminal) to request or send information to a server.

[0649] A "server" is a computer system that receives requests from clients, processes them, and returns responses.

[0650] "Database" means a data management system for managing product identification information and product-related data (e.g., inventory quantity).

[0651] "Inventory information" is data including the inventory quantity and status of a specific product.

[0652] A "voice input device" is a device that allows a user to input voice commands into a system.

[0653] A "code reading device" is a device for reading code information such as barcodes and QR codes.

[0654] A "visual display device" is a display device, such as a monitor or screen, that visually presents information to a user.

[0655] "Immediately" means obtaining results quickly and without delay.

[0656] "Search results" refers to information obtained by the server searching the database.

[0657] "Generation" means creating and preparing the necessary information or data.

[0658] A "response" is a confirmation or reply message sent from the server to the client (terminal).

[0659] System Overview

[0660] The present invention is a system that instantly acquires product inventory information based on product identification information entered by a user using a voice input device or a code reader, and displays it on a visual display device. This system is mainly composed of a terminal, a server, and a database.

[0661] Terminal configuration and operation

[0662] The terminal provides an interface for the user to input product identification information. The user inputs the product identification information by voice using a voice input device, or by reading a QR code or the like using a code reader. The terminal acquires this information, generates an HTTP request, and sends it to the server.

[0663] example:

[0664] The user puts on the smart glasses and either voice-commands "Tell me the stock information for product A" or scans the product's QR code with the smart glasses' camera.

[0665] Server configuration and operation

[0666] The server receives an HTTP request sent from the terminal. The request includes product identification information entered by the user. The server analyzes this product identification information, searches the database to obtain the corresponding product inventory information, converts the obtained information into JSON format, and sends it to the terminal as a response.

[0667] example:

[0668] The server searches the database based on the identification information for "Product A" received from the terminal and confirms that the stock of Product A is 10. It converts this information into JSON format and returns it to the terminal.

[0669] Configuring the Database

[0670] The database is a data management system that stores product identification information and corresponding product inventory information. Information such as the number of items in stock corresponding to the product identification information is stored. The server references this database to obtain product inventory information.

[0671] example:

[0672] The database stores the product name "Product A" and the stock quantity "10" corresponding to the product identification information "A101."

[0673] Device display features

[0674] The terminal receives the response from the server, analyzes it, and displays the product inventory information to the user. The displayed information includes the product name and the number of items in stock.

[0675] example:

[0676] The device parses the JSON response received from the server, "Product ID: A101, Inventory information: Product A - Stock quantity: 10," and displays "The stock quantity of product A is 10" on the smart glasses display.

[0677] Hardware and software used

[0678] Hardware: Smart glasses (e.g. Google Glass, Vuzix), QR code readers, voice input devices

[0679] Software: Python, Flask (server side), Requests (HTTP client)

[0680] Examples of specific examples and prompts

[0681] Example - Input using a QR code reader:

[0682] The user uses the camera on the smart glasses to read the QR code, which contains the product identifier (e.g., "A101"), and the application generates an HTTP request based on the encoded product identifier and sends it to the server.

[0683] Prompt Sentence Examples

[0684] "Please tell me the stock information for product A."

[0685] "Check out this item: A101"

[0686] In this way, the system of the present invention can quickly and accurately obtain inventory information at the distribution center, thereby improving operational efficiency.

[0687] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0688] Step 1:

[0689] The device acquires product identification information

[0690] The user uses a voice input device to input product identification information by voice. The device converts this voice into text using voice recognition software (e.g., Google Cloud Speech-to-Text). Alternatively, the user uses a code reading device to scan a QR code. The device obtains product identification information using a QR code reader. The input here is the user's voice command or QR code, and the output is product identification information in text format.

[0691] Step 2:

[0692] Creating and sending an HTTP request

[0693] The terminal generates an HTTP request (GET method) that includes the acquired product identification information. The request includes the product identification information entered by the user as a parameter. To send this HTTP request, the terminal uses the Requests library or other HTTP client software. The input is the product identification information in text format, and the output is the HTTP request sent to the server.

[0694] Step 3:

[0695] The server receives the HTTP request and extracts the product identification information

[0696] The server receives the HTTP request sent from the terminal. It uses a framework such as Flask to extract product identification information from the parameters in the HTTP request. The input here is the HTTP request, and the output is the extracted product identification information in text format.

[0697] Step 4:

[0698] Search the database and get product inventory information

[0699] The server searches the database based on the extracted product identification information. The database can be of SQL or NoSQL type. The search process retrieves inventory information corresponding to the product identification information. The input is the extracted product identification information, and the output is inventory information as a search result.

[0700] Step 5:

[0701] Convert product inventory information to JSON format and generate a response from the server

[0702] The server converts the acquired inventory information into JSON format and sends it to the terminal as an HTTP response. The JSON response is generated using Flask's response library. The input is the inventory information from the search results, and the output is the JSON-formatted inventory information sent to the terminal.

[0703] Step 6:

[0704] The device receives the response from the server and analyzes the inventory information.

[0705] The terminal receives and parses the JSON response from the server. The parsing process uses a JSON parser library to extract the necessary information (e.g., product name, stock quantity) from the JSON data. The input is the JSON response received from the server, and the output is the parsed stock information.

[0706] Step 7:

[0707] The device displays the analyzed inventory information to the user.

[0708] The terminal displays the parsed inventory information on a visual display device (e.g., the display of smart glasses). The display process uses display control software to present the inventory information to the user in a format that is easy to understand. The input is the parsed inventory information, and the output is the information visually displayed on the display.

[0709] Through the above steps, the user can quickly and accurately check product inventory information.

[0710] 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.

[0711] This invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal, displays that information, and also combines it with an emotion engine that recognizes the user's emotions. This system is mainly composed of a terminal, a server, a database, and an emotion engine.

[0712] System Configuration

[0713] Device:

[0714] The terminal provides an interface for the user to input product identification information. The user enters the product identification information into the terminal's input field and presses the confirmation button. The terminal acquires this information and generates an HTTP request. The terminal also has a built-in emotion engine that can recognize emotions by analyzing the user's voice and facial expressions.

[0715] server:

[0716] The server receives an HTTP request sent from the terminal. The request includes product identification information entered by the user. The server analyzes this product identification information and searches the database to obtain the corresponding product inventory information.

[0717] Database:

[0718] The database is a data management system that stores product identification information and corresponding product inventory information. Information such as the number of items in stock corresponding to the product identification information is stored. The server references this database to obtain product inventory information.

[0719] Emotion Engine:

[0720] The emotion engine is installed in the device and analyzes the user's emotions from their voice and facial expressions. Based on the analysis results, it determines, for example, whether the user is satisfied or dissatisfied with inventory information. The emotion engine has the function of providing specific suggestions and feedback depending on the user's emotions.

[0721] Program processing

[0722] Device:

[0723] The program on the device acquires the product identification information entered by the user. It then generates an HTTP request, which includes the product identification information. It then sends this request to the server. It also acquires the user's emotions using the device's camera and microphone, which are then analyzed by the emotion engine.

[0724] server:

[0725] When the program on the server receives an HTTP request, it extracts product identification information from the parameters in the request, then searches the database to obtain the corresponding product inventory information, converts the obtained information into JSON format, and sends it to the terminal as a response.

[0726] Device:

[0727] The terminal receives a response from the server. If the response is successful (HTTP status code 200), it analyzes the contents. The product inventory information obtained as a result of the analysis is displayed to the user. The displayed information includes the product name and the number of items in stock. The emotion engine also analyzes the user's emotions and suggests the next action based on the results. For example, if the user expresses dissatisfaction with a low stock, it will suggest an alternative product or recommend setting up notifications when the item is back in stock.

[0728] Specific examples

[0729] User Action:

[0730] The user enters the product identification information "A101" into the input field on the device and presses the confirmation button. The device acquires this product identification information and generates an HTTP request. The request is sent to the server. The device's camera also reads the user's facial expression, and the emotion engine begins analysis.

[0731] Server process:

[0732] The server processes the HTTP request received from the terminal and extracts the product identification information "A101." It searches the database and confirms that there are 10 units of product A in stock. It then converts this information into JSON format and returns a response to the terminal that includes the name of "product A" and the stock quantity "10."

[0733] Terminal display:

[0734] The device analyzes the JSON response received from the server and displays the following information to the user: "Product ID: A101, Inventory Information: Product A - Quantity in Stock: 10." By looking at this, the user can check the stock status of Product A. At the same time, the emotion engine analyzes the user's emotions from their facial expressions, and if the user is satisfied, for example, it will suggest "proceed to the purchase process for Product A."

[0735] The above is a specific embodiment for carrying out the present invention. This system allows users to quickly and accurately obtain product inventory information, and also allows users to receive suggestions and support that are tailored to their own emotions.

[0736] The processing flow will be explained below.

[0737] Step 1:

[0738] The user enters the product identification information (e.g., "A101") into the input field on the terminal and presses the confirmation button.

[0739] Step 2:

[0740] The terminal acquires the product identification information entered by the user, and stores this information in a variable for use in subsequent processing.

[0741] Step 3:

[0742] The terminal generates an HTTP request containing the obtained product identification information. The request is sent to a specific endpoint (e.g., " / check_stock") on the server using the HTTP GET method.

[0743] Step 4:

[0744] The terminal sends the generated HTTP request to the server, which includes the product identification information as a parameter.

[0745] Step 5:

[0746] The server receives the HTTP request from the terminal, analyzes the request URL and parameters, and extracts the product identification information (e.g., "A101").

[0747] Step 6:

[0748] The server searches the database and queries the inventory information corresponding to the extracted product identification information. The database stores product IDs and corresponding product inventory information (e.g., stock quantity).

[0749] Step 7:

[0750] The server generates product inventory information based on the search results. The generated information is converted to JSON format. This information includes the product name and stock quantity (e.g., {"name": "Product A", "stock": 10}).

[0751] Step 8:

[0752] The server sends a JSON-formatted response to the terminal, which includes inventory information corresponding to the product identification information.

[0753] Step 9:

[0754] The terminal receives the response received from the server. First, it checks the HTTP status code, and if the response is successful (200 OK), it parses the JSON data.

[0755] Step 10:

[0756] The terminal extracts the product name and stock quantity from the parsed JSON data and displays this information in a user-friendly format (e.g., "Product ID: A101, Stock Information: Product A - Stock Quantity: 10").

[0757] Step 11:

[0758] The user checks the product inventory information displayed on the terminal and takes the following action if necessary.

[0759] Step 12:

[0760] The device captures the user's facial expressions with a camera and picks up their voice with a microphone.

[0761] Step 13:

[0762] The device's emotion engine analyzes the captured facial expressions and audio to recognize the user's emotion. For example, if the user is smiling, it is recognized as "satisfied."

[0763] Step 14:

[0764] The device generates appropriate suggestions based on the user's emotions, for example, "Proceed to checkout" if the user is satisfied with the inventory information.

[0765] Step 15:

[0766] The device displays suggestions to the user and prompts them for their next action.

[0767] The above are the specific processing steps of the program of the present invention, which allow users to quickly and accurately obtain inventory information and receive emotionally appropriate suggestions, providing a more personalized experience.

[0768] Example 2

[0769] 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."

[0770] There is a need for a system that allows users to quickly and accurately obtain product inventory information based on product identification information, and also allows them to receive appropriate suggestions and support based on their emotions. Conventional systems lack the functionality to analyze user emotions, which limits the user experience.

[0771] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0772] In this invention, the server includes: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and transmits it to the server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; a terminal that analyzes the information received from the server and displays it to the user; an emotion engine installed in the terminal that acquires and analyzes the user's emotions; and an emotion engine that makes suggestions to the user based on the analysis results. This allows the user to not only acquire product inventory information but also receive suggestions and support according to their emotions.

[0773] A "terminal" is a device that allows a user to input product identification information. It is primarily equipped with an input field, a camera, and a microphone, and is used to generate HTTP requests and acquire and analyze emotion data.

[0774] A "server" is a device that receives HTTP requests sent from terminals, analyzes product identification information, searches a database, and generates product inventory information.

[0775] A "database" is a data management system that stores product identification information and corresponding product inventory information for search by the server.

[0776] An "HTTP request" is a request that includes product identification information input by a user through a terminal and is sent from the terminal to a server.

[0777] "Product identification information" is information that a user inputs into a terminal to identify a specific product.

[0778] "Product inventory information" is data that includes the inventory quantity and related detailed information for a specific product.

[0779] An "emotion engine" is software or a system that recognizes a user's emotions by acquiring and analyzing the user's voice and facial expression data.

[0780] "Suggestions" are recommended actions or support provided to users by the emotion engine based on the analysis results.

[0781] This invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal, displays that information, and also combines it with an emotion engine that recognizes the user's emotions. The main components are a terminal, a server, a database, and an emotion engine. The role of each component and the program processing will be explained in order.

[0782] System Configuration

[0783] Terminal

[0784] Device functions: Provides an interface for users to input product identification information. Equipped with an input field, camera, and microphone, it generates HTTP requests and acquires and analyzes emotion data.

[0785] Software example: Implemented as a browser-based web application or a mobile application.

[0786] Examples of hardware include: common computing devices such as smartphones, tablets, and personal computers.

[0787] server

[0788] Server function: Analyzes product identification information based on the HTTP request sent from the terminal, searches the database, and obtains product inventory information.

[0789] Examples of software: web servers (Apache, Nginx, etc.), application servers (Node.js, Django, etc.).

[0790] Examples of hardware: cloud servers (AWS, Google Cloud, etc.) or internal physical servers within a company.

[0791] Database

[0792] Database function: Stores and manages product identification information and corresponding product inventory information.

[0793] Examples of software: relational databases (MySQL, PostgreSQL, etc.), NoSQL databases (MongoDB, etc.).

[0794] Examples of hardware: cloud database services, physical database servers.

[0795] Emotion Engine

[0796] Emotion engine function: Analyzes emotions from the user's voice and facial expressions, and provides suggestions and feedback based on the results.

[0797] Specific examples of software include: emotion recognition algorithms (e.g., Microsoft Azure Emotion API, Google Emotion AI).

[0798] Examples of hardware include cameras and microphones built into devices.

[0799] Program processing

[0800] Terminal

[0801] The user enters product identification information into the input field on the device and presses the confirmation button. The device acquires this information, generates an HTTP request, and sends it to the server. At the same time, the device's built-in camera and microphone are used to acquire the user's emotional data, which is then analyzed by the emotion engine.

[0802] server

[0803] The server analyzes the HTTP request received from the terminal and extracts the product identification information. It then searches the database to obtain the corresponding product inventory information. It converts the obtained information into JSON format and returns it to the terminal.

[0804] Terminal (continued)

[0805] The device analyzes the product inventory information received from the server and displays it to the user. At the same time, the emotion engine provides appropriate suggestions and feedback based on the analyzed emotion data.

[0806] Specific examples

[0807] The user enters the product identification information "A101" into the input field on the terminal and presses the confirmation button. The terminal obtains this product identification information, generates an HTTP request, and sends it to the server. The terminal's camera then captures the user's facial expression, and the microphone records audio, which the emotion engine analyzes. The server analyzes the received HTTP request, extracts the product identification information "A101," and searches the database. It confirms that there are 10 units of product A in stock, converts this information into JSON format, and sends it back to the terminal. The terminal displays the product ID "A101" and the inventory information "Product A - Stock quantity: 10" to the user, and the emotion engine makes suggestions such as "Proceed to purchase checkout for product A" based on the results of the user's emotion analysis.

[0808] Prompt Sentence Examples

[0809] Please enter the product identification information in the input field, for example, "A101". Then press the confirm button.

[0810] After pressing the confirm button, please wait while we retrieve product information. Additionally, please wait a moment while the camera and microphone analyze your face and voice.

[0811] The above describes a specific embodiment of the present invention. This system allows users to quickly and accurately obtain product inventory information and receive suggestions based on their emotions.

[0812] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0813] Step 1:

[0814] The user enters product identification information

[0815] Operation: The user enters product identification information such as "A101" into the input field on the terminal and presses the confirmation button.

[0816] Input: Product identification information (e.g. "A101")

[0817] Output: The entered product identification information is imported into the terminal system.

[0818] Step 2:

[0819] The device generates an HTTP request and sends it to the server.

[0820] Operation: The terminal generates an HTTP request using the acquired product identification information and sends it to the server. For example, it generates a request in the format "GET / products?itemID=A101 HTTP / 1.1".

[0821] Input: Product identification information (e.g. "A101")

[0822] Output: The generated HTTP request (e.g. "GET / products?itemID=A101 HTTP / 1.1") is sent to the server.

[0823] Step 3:

[0824] The device acquires the user's emotional data and analyzes it using an emotion engine.

[0825] How it works: The device's built-in camera and microphone capture the user's facial expressions and voice, which are then analyzed by the emotion engine.

[0826] Input: User's voice data and facial expression data

[0827] Output: Analyzed emotion data (e.g., "satisfied," "dissatisfied," etc.)

[0828] Step 4:

[0829] The server receives the HTTP request and extracts the product identification information

[0830] Operation: The server analyzes the HTTP request received from the terminal and extracts the product identification information "A101."

[0831] Input: HTTP request (e.g. "GET / products?itemID=A101 HTTP / 1.1")

[0832] Output: Product identification information extraction result (e.g. "A101")

[0833] Step 5:

[0834] The server searches the database to obtain product inventory information

[0835] Operation: The server searches the database and retrieves the corresponding product stock information. For example, it confirms that there are 10 units of product A in stock.

[0836] Input: Extracted product identification information (e.g. "A101")

[0837] Output: Product inventory information (e.g. "Product A", quantity in stock: 10")

[0838] Step 6:

[0839] The server converts the acquired information into JSON format and sends a response to the device.

[0840] Operation: The server converts the acquired product information into JSON format and sends it to the terminal as a response.

[0841] Input: Product inventory information (e.g. "Product A", quantity in stock: 10")

[0842] Output: Response data in JSON format (e.g., "{"itemID": "A101", "name": "Product A", "stock": 10}")

[0843] Step 7:

[0844] The terminal receives the response from the server, analyzes the product inventory information, and displays it.

[0845] Operation: The terminal analyzes the response received from the server and displays the information "Product ID: A101, Stock information: Product A - Stock quantity: 10" to the user.

[0846] Input: Response data from the server (e.g., "{"itemID": "A101", "name": "Product A", "stock": 10}")

[0847] Output: Product inventory information to be displayed (e.g. "Product ID: A101, Inventory information: Product A - Quantity in stock: 10")

[0848] Step 8:

[0849] The device makes appropriate suggestions to the user based on the analysis results of the emotion engine.

[0850] How it works: The device's emotion engine makes appropriate suggestions to the user based on the analysis results. For example, if a user is dissatisfied with a shortage of stock, it will suggest alternative products or recommend setting up notifications when new stock arrives.

[0851] Input: Analysis result of emotion engine (e.g. "dissatisfied")

[0852] Output: Proposal content (e.g. "If there is a shortage of stock, would you like to suggest substitute item B101?")

[0853] (Application example 2)

[0854] 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."

[0855] Conventional online shopping sites allow users to input product identification information to obtain inventory information, but lack the functionality to provide feedback and suggestions that take user emotions into account. As a result, the inconvenience and dissatisfaction experienced by users when faced with negative information such as inventory shortages are not fully resolved. Furthermore, the lack of action suggestions based on user emotions prevents an improvement in the user experience.

[0856] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0857] In this invention, the server includes: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and transmits it to the server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; a terminal that displays the product inventory information received from the server to the user; a terminal that analyzes the user's emotions using an emotion engine that recognizes the user's emotions; and a terminal that suggests a next action based on the user's emotions analyzed by the emotion engine. This improves the user experience and eliminates the inconvenience and dissatisfaction that users may experience when receiving negative information, such as inventory shortages.

[0858] A "terminal" is a device that provides an interface for a user to input product identification information.

[0859] "Product identification information" is information for uniquely identifying a specific product.

[0860] An "HTTP request" is a communication protocol for sending data such as product identification information to a server.

[0861] A "server" is a device that receives an HTTP request, analyzes the product identification information, searches a database, and returns the results to the terminal.

[0862] A "database" is a system that manages product identification information and corresponding product inventory information.

[0863] "Product inventory information" refers to information such as the number of items in stock for a particular product.

[0864] An "emotion engine" is software or hardware that analyzes the user's voice and facial expressions and recognizes their emotions.

[0865] "Analysis" is the process of analyzing acquired data to obtain meaningful information.

[0866] "Action suggestion" refers to suggesting the next action to be taken based on the user's emotions.

[0867] "Emotion data" is information about emotions obtained from the user's voice and facial expressions.

[0868] The present invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal, displays that information, and combines it with an emotion engine that recognizes the user's emotions. This system is primarily composed of a terminal, a server, a database, and an emotion engine. Specific embodiments for implementing this system are described below.

[0869] Terminal

[0870] The terminal is equipped with an interface for the user to input product identification information. The user can enter the product identification information in the input field of the terminal and send the information by pressing a confirmation button. The terminal also has a built-in emotion engine that uses a camera and microphone to capture the user's facial expressions and voice and recognize their emotions.

[0871] server

[0872] The server is responsible for receiving HTTP requests sent from the terminal. The received request contains the product identification information entered by the user. The server analyzes the product identification information and searches the database to obtain the corresponding product inventory information.

[0873] Database

[0874] The database is a system for managing product identification information and corresponding product inventory information. It stores the number of items in stock corresponding to the product identification information and other related information. The server references this database to obtain the necessary inventory information.

[0875] Emotion Engine

[0876] An emotion engine is software or hardware for analyzing a user's emotions. It captures the user's facial expressions and voice data from a camera or microphone, analyzes them, and recognizes the user's emotions. For example, if a user expresses dissatisfaction with inventory information, it can suggest alternative products or set up notifications for inventory replenishment.

[0877] Specific examples

[0878] For example, suppose a user enters product identification information "A101" into the input field on their device and confirms it. In this case, the device generates an HTTP request and sends it to the server. The server processes the request, searches the database for product identification information "A101," and obtains stock information for product A. The obtained information is returned to the device in JSON format. The device analyzes this information and displays to the user, "There are 10 units of product A in stock." At the same time, the emotion engine analyzes the user's facial expression and, if the user is satisfied, suggests, for example, "Proceed to the purchase procedure for product A."

[0879] Prompt Sentence Examples

[0880] When a user enters "A101" as product identification information in the smartphone app and wants to check stock information, please implement a function that analyzes emotions and provides feedback based on the stock information.

[0881] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0882] Step 1:

[0883] The terminal acquires the product identification information input by the user.

[0884] Input: The user enters product identification information (e.g., "A101") into the device's input field.

[0885] Specific operation: The user enters product identification information in the input field and presses the confirmation button. The terminal acquires this product identification information and temporarily stores it.

[0886] Output: The retrieved product identification information.

[0887] Step 2:

[0888] The terminal generates an HTTP request including the acquired product identification information and transmits it to the server.

[0889] Input: The retrieved product identification information.

[0890] Specific operation: The terminal generates an HTTP request including product identification information and sends it to the server.

[0891] Output: Sending an HTTP request containing product identification information.

[0892] Step 3:

[0893] The server extracts the product identification information from the received HTTP request.

[0894] Input: The HTTP request sent from the device.

[0895] Specific operation: The server analyzes the received HTTP request and extracts the product identification information.

[0896] Output: Extracted product identification information.

[0897] Step 4:

[0898] The server searches the database and retrieves product inventory information.

[0899] Input: Extracted product identification information.

[0900] Specific operation: The server searches the database and obtains the corresponding product inventory information.

[0901] Output: Retrieved product inventory information.

[0902] Step 5:

[0903] The server converts the product inventory information into JSON format and responds to the terminal.

[0904] Input: Retrieved product inventory information.

[0905] Specific operation: The server converts product inventory information into JSON format and sends it to the terminal as a response.

[0906] Output: Product availability information sent in JSON format.

[0907] Step 6:

[0908] The terminal displays the product inventory information received from the server to the user.

[0909] Input: Product inventory information sent from the server in JSON format.

[0910] Specific operation: The terminal parses product inventory information in JSON format and displays it visually to the user.

[0911] Output: Product availability information displayed to the user.

[0912] Step 7:

[0913] The device uses a camera and microphone to acquire the user's emotional data and analyzes the emotions using an emotion engine.

[0914] Input: User's facial expressions and voice.

[0915] Specific operation: The device's camera and microphone capture the user's facial expressions and voice data, which is then analyzed by the emotion engine to recognize emotions.

[0916] Output: Parsed user emotion data.

[0917] Step 8:

[0918] The emotion engine analyzes the user's emotions and suggests the next action to take.

[0919] Input: Parsed user emotion data.

[0920] Specific operation: Based on the analysis results, the emotion engine will suggest alternative products or set up notifications for stock replenishment if the user is dissatisfied, for example.

[0921] Output: Specific suggestions and feedback to the user.

[0922] 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.

[0923] 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.

[0924] 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.

[0925] [Third embodiment]

[0926] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0927] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0928] 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).

[0929] 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.

[0930] 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.

[0931] 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).

[0932] 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.

[0933] 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.

[0934] 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.

[0935] 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.

[0936] 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.

[0937] 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."

[0938] The present invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal and displays that information. This system is mainly composed of a terminal, a server, and a database.

[0939] System Configuration

[0940] Device:

[0941] The terminal provides an interface for the user to input product identification information. The user enters the product identification information into the input field of the terminal and presses the confirmation button. The terminal acquires this information and generates an HTTP request.

[0942] server:

[0943] The server receives an HTTP request sent from the terminal. The request includes product identification information entered by the user. The server analyzes this product identification information and searches the database to obtain the corresponding product inventory information.

[0944] Database:

[0945] The database is a data management system that stores product identification information and corresponding product inventory information. Information such as the number of items in stock corresponding to the product identification information is stored. The server references this database to obtain product inventory information.

[0946] Program processing

[0947] Device:

[0948] The program on the terminal acquires the product identification information entered by the user, then generates an HTTP request including the product identification information, and sends this request to the server.

[0949] server:

[0950] When the program on the server receives an HTTP request, it extracts product identification information from the parameters in the request, then searches the database to obtain the corresponding product inventory information, converts the obtained information into JSON format, and sends it to the terminal as a response.

[0951] Device:

[0952] The terminal receives the response from the server. If the response is successful (HTTP status code 200), it analyzes the contents. The product inventory information obtained as a result of the analysis is displayed to the user. The displayed information includes the product name and the number of items in stock.

[0953] Specific examples

[0954] User Action:

[0955] The user enters the product identification information "A101" into the input field on the terminal and presses the confirmation button. The terminal acquires this product identification information, generates an HTTP request, and sends the request to the server.

[0956] Server process:

[0957] The server processes the HTTP request received from the terminal and extracts the product identification information "A101." It searches the database and confirms that there are 10 units of product A in stock. It then converts this information into JSON format and returns a response to the terminal that includes the name of "product A" and the stock quantity "10."

[0958] Terminal display:

[0959] The terminal parses the JSON format response received from the server and displays the information "Product ID: A101, Inventory information: Product A - Quantity in stock: 10" to the user. By looking at this, the user can check the stock status of Product A.

[0960] The above is a specific embodiment for carrying out the present invention. This system allows users to quickly and accurately obtain product inventory information and enjoy a seamless online shopping experience.

[0961] The processing flow will be explained below.

[0962] Step 1:

[0963] The user enters the product identification information (e.g., "A101") into the input field on the terminal and presses the confirmation button.

[0964] Step 2:

[0965] The terminal acquires the product identification information entered by the user, and stores this information in a variable for use in subsequent processing.

[0966] Step 3:

[0967] The terminal generates an HTTP request containing the obtained product identification information. The request is sent to a specific endpoint (e.g., " / check_stock") on the server using the HTTP GET method.

[0968] Step 4:

[0969] The terminal sends the generated HTTP request to the server, which includes the product identification information as a parameter.

[0970] Step 5:

[0971] The server receives the HTTP request from the terminal, analyzes the request URL and parameters, and extracts the product identification information (e.g., "A101").

[0972] Step 6:

[0973] The server searches the database and queries the inventory information corresponding to the extracted product identification information. The database stores product IDs and corresponding product inventory information (e.g., stock quantity).

[0974] Step 7:

[0975] The server generates product inventory information based on the search results. The generated information is converted to JSON format. This information includes the product name and stock quantity (e.g., {"name": "Product A", "stock": 10}).

[0976] Step 8:

[0977] The server sends a JSON-formatted response to the terminal, which includes inventory information corresponding to the product identification information.

[0978] Step 9:

[0979] The terminal receives the response received from the server. First, it checks the HTTP status code, and if the response is successful (200 OK), it parses the JSON data.

[0980] Step 10:

[0981] The terminal extracts the product name and stock quantity from the parsed JSON data and displays this information in a user-friendly format (e.g., "Product ID: A101, Stock Information: Product A - Stock Quantity: 10").

[0982] Step 11:

[0983] The user checks the product inventory information displayed on the terminal and takes the following action if necessary.

[0984] The above are the specific processing steps of the program in the present invention. These steps allow the user to quickly and accurately obtain inventory information, enabling the entire system to operate effectively.

[0985] Example 1

[0986] 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."

[0987] In conventional online shopping systems, when users input product identification information to obtain product inventory information, delays and uncertainty in information occur. This can degrade the user experience and, in some cases, result in lost product sales opportunities. The present invention aims to solve these problems and provide users with fast and accurate product inventory information.

[0988] 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.

[0989] In this invention, the server includes means for extracting product identification information from a received HTTP request, means for searching a data storage device, and means for generating product inventory information in a structured data format based on the search results and responding to the terminal, thereby enabling the provision of fast and accurate product inventory information.

[0990] A "terminal" is an electronic device that allows a user to input product identification information and transmit and receive information.

[0991] A "user" is an individual or organization that uses the system to input product identification information and obtain product inventory information.

[0992] "Product identification information" is a unique code or character string that identifies a particular product.

[0993] An "HTTP request" is a request message based on a protocol for transmitting information from a terminal to a server.

[0994] A "server" is a computer system that analyzes HTTP requests received from terminals, searches a data storage device, and returns information.

[0995] The "data storage device" is a storage medium for storing data such as product identification information and corresponding product inventory information.

[0996] A "structured data format" is a data format, such as JSON or XML, in which data is structured according to a specific format.

[0997] The "search results" refer to inventory information corresponding to the product identification information obtained from the data storage device.

[0998] A "response" is a message containing information that the server sends back to the terminal.

[0999] The "retrieval method" refers to the GET method for retrieving data in an HTTP request.

[1000] The above are definitions of important terms contained in the claims.

[1001] The present invention is a system that acquires and displays product inventory information based on product identification information input by a user using a terminal. This system is mainly composed of a terminal, a server, and a data storage device.

[1002] Hardware and software used

[1003] Terminal

[1004] The terminal provides an interface for the user to enter product identification information. This can be a computer, smartphone, tablet, or other electronic device. The terminal runs software that generates and sends HTTP requests to the server.

[1005] server

[1006] A server is a computer system that receives HTTP requests sent from terminals, analyzes them, and processes the data. Web server software (such as Apache or Nginx) is installed on the server to process the requests.

[1007] Data Storage Device

[1008] The data storage device is a database that stores product identification information and corresponding product inventory information. An SQL database (e.g., MySQL or PostgreSQL) is typically used.

[1009] Program processing

[1010] Device:

[1011] The program on the terminal acquires the product identification information entered by the user, then generates an HTTP request including the product identification information, and sends this request to the server.

[1012] server:

[1013] When the program on the server receives an HTTP request, it extracts product identification information from the parameters in the request, then searches the database to obtain the corresponding product inventory information, converts the obtained information into a structured data format (e.g., JSON format), and sends it to the terminal as a response.

[1014] Device:

[1015] The terminal receives the response from the server. If the response is successful (for example, HTTP status code 200), it analyzes the contents. The product inventory information obtained as a result of the analysis is displayed to the user. The displayed information includes the product name and the number of items in stock.

[1016] Specific examples

[1017] 1. User enters product identification information:

[1018] The user enters the product identification information "A101" into the input field on the terminal and presses the confirmation button. The terminal acquires this product identification information, generates an HTTP request, and sends the request to the server.

[1019] 2. Server processing of request and data retrieval:

[1020] The server processes the HTTP request received from the terminal and extracts the product identification information "A101." It searches the database and confirms that there are 10 units of "Product A" in stock. It then converts this information into structured data (JSON format) and returns a response to the terminal that includes the name of "Product A" and the stock quantity "10."

[1021] 3. Terminal displays the response:

[1022] The terminal parses the JSON format response received from the server and displays the information "Product ID: A101, Stock information: Product A - Stock quantity: 10" to the user. The user can check the stock status of Product A by looking at this.

[1023] Example prompts using generative AI

[1024] For example, you can enter the following prompt for a generative AI model (e.g., ChatGPT):

[1025] "Please explain in detail the processing steps of the system that checks inventory information using product identification information A101."

[1026] This allows the generative AI model to output each of the steps mentioned above in detail.

[1027] This system allows users to quickly and accurately obtain product inventory information, providing a smooth online shopping experience.

[1028] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1029] I understand. Now, I will explain the processing flow of the system program by dividing it into processing steps as follows.

[1030] Program processing flow

[1031] Step 1: User Input

[1032] The user inputs product identification information into the input field of the terminal and presses the confirmation button. The input product identification information is acquired by the terminal.

[1033] input:

[1034] The user enters product identification information (e.g., "A101")

[1035] Operation:

[1036] The user enters the product identification information on the terminal screen and presses the confirmation button.

[1037] output:

[1038] The device acquires product identification information

[1039] Step 2: Submit product identification information

[1040] The terminal generates an HTTP request including the acquired product identification information and sends the request to the server.

[1041] input:

[1042] Acquired product identification information (e.g., "A101")

[1043] Data processing:

[1044] The device generates an HTTP request containing product identification information

[1045] Operation:

[1046] The terminal generates an HTTP request including the product identification information "A101" and sends it to the server via the network.

[1047] output:

[1048] HTTP request sent to the server

[1049] Step 3: Receiving and parsing the request on the server side

[1050] When the server receives the HTTP request, it extracts the product identification information from the request.

[1051] input:

[1052] HTTP request sent to the server

[1053] Data processing:

[1054] The server extracts product identification information from the HTTP request

[1055] Operation:

[1056] The server extracts the product identification information "A101" from the received request.

[1057] output:

[1058] Extracted product identification information

[1059] Step 4: Database Search

[1060] The server searches the database based on the extracted product identification information and obtains the corresponding product inventory information.

[1061] input:

[1062] Extracted product identification information (e.g., "A101")

[1063] Data processing:

[1064] The server searches the data storage device and obtains product inventory information.

[1065] Operation:

[1066] The server searches the database using "A101" as a key. For example, it retrieves information such as "Product name: Product A, Stock quantity: 10."

[1067] output:

[1068] Retrieved product inventory information

[1069] Step 5: Generate a response

[1070] The server converts the acquired product inventory information into a structured data format (for example, JSON format) and sends it to the terminal as a response.

[1071] input:

[1072] Retrieved product inventory information (e.g., "Product name: Product A, Stock quantity: 10")

[1073] Data processing:

[1074] Serialize product inventory information into JSON format

[1075] Operation:

[1076] The server converts the information "Product name: Product A, Stock quantity: 10" into JSON format and includes it in the HTTP response to the terminal.

[1077] output:

[1078] JSON-formatted response sent to the device

[1079] Step 6: Receive and display the response

[1080] The device receives a JSON-formatted response from the server, parses the contents, and displays it to the user.

[1081] input:

[1082] JSON response sent from the server

[1083] Data processing:

[1084] Parse the JSON response

[1085] Operation:

[1086] The terminal analyzes the JSON response received from the server and displays it on the screen in the format "Product ID: A101, Product name: Product A, Quantity in stock: 10".

[1087] output:

[1088] Product availability information displayed to users

[1089] This allows users to quickly and accurately check product inventory information, significantly improving the convenience and efficiency of online shopping.

[1090] (Application example 1)

[1091] 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."

[1092] In logistics centers, conventional inventory management systems make it difficult to improve operational efficiency because it takes time to input product identification information and obtain inventory information. In addition, in a work environment where quick and accurate inventory information is required, operating a handheld device is labor-intensive, making it difficult to check inventory in real time.

[1093] 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.

[1094] In this invention, the server includes: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and sends it to the server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; a terminal that displays the product inventory information received from the server to the user; and a terminal that acquires unique identification information using a voice input device or a code reader and uses that information to instantly display inventory information. This enables workers at the logistics center to quickly and accurately check inventory information through voice input or QR code reading.

[1095] A "terminal" is an electronic device into which a user inputs data such as product identification information and processes the input data.

[1096] A "user" is someone who wants to use the system to check product inventory information.

[1097] "Product identification information" is a code or information for uniquely identifying a specific product.

[1098] An "HTTP request" is a communication message used by a client (terminal) to request or send information to a server.

[1099] A "server" is a computer system that receives requests from clients, processes them, and returns responses.

[1100] "Database" means a data management system for managing product identification information and product-related data (e.g., inventory quantity).

[1101] "Inventory information" is data including the inventory quantity and status of a specific product.

[1102] A "voice input device" is a device that allows a user to input voice commands into a system.

[1103] A "code reading device" is a device for reading code information such as barcodes and QR codes.

[1104] A "visual display device" is a display device, such as a monitor or screen, that visually presents information to a user.

[1105] "Immediately" means obtaining results quickly and without delay.

[1106] "Search results" refers to information obtained by the server searching the database.

[1107] "Generation" means creating and preparing the necessary information or data.

[1108] A "response" is a confirmation or reply message sent from the server to the client (terminal).

[1109] System Overview

[1110] The present invention is a system that instantly acquires product inventory information based on product identification information entered by a user using a voice input device or a code reader, and displays it on a visual display device. This system is mainly composed of a terminal, a server, and a database.

[1111] Terminal configuration and operation

[1112] The terminal provides an interface for the user to input product identification information. The user inputs the product identification information by voice using a voice input device, or by reading a QR code or the like using a code reader. The terminal acquires this information, generates an HTTP request, and sends it to the server.

[1113] example:

[1114] The user puts on the smart glasses and either voice-commands "Tell me the stock information for product A" or scans the product's QR code with the smart glasses' camera.

[1115] Server configuration and operation

[1116] The server receives an HTTP request sent from the terminal. The request includes product identification information entered by the user. The server analyzes this product identification information, searches the database to obtain the corresponding product inventory information, converts the obtained information into JSON format, and sends it to the terminal as a response.

[1117] example:

[1118] The server searches the database based on the identification information for "Product A" received from the terminal and confirms that the stock of Product A is 10. It converts this information into JSON format and returns it to the terminal.

[1119] Configuring the Database

[1120] The database is a data management system that stores product identification information and corresponding product inventory information. Information such as the number of items in stock corresponding to the product identification information is stored. The server references this database to obtain product inventory information.

[1121] example:

[1122] The database stores the product name "Product A" and the stock quantity "10" corresponding to the product identification information "A101."

[1123] Device display features

[1124] The terminal receives the response from the server, analyzes it, and displays the product inventory information to the user. The displayed information includes the product name and the number of items in stock.

[1125] example:

[1126] The device parses the JSON response received from the server, "Product ID: A101, Inventory information: Product A - Stock quantity: 10," and displays "The stock quantity of product A is 10" on the smart glasses display.

[1127] Hardware and software used

[1128] Hardware: Smart glasses (e.g. Google Glass, Vuzix), QR code readers, voice input devices

[1129] Software: Python, Flask (server side), Requests (HTTP client)

[1130] Examples of specific examples and prompts

[1131] Example - Input using a QR code reader:

[1132] The user uses the camera on the smart glasses to read the QR code, which contains the product identifier (e.g., "A101"), and the application generates an HTTP request based on the encoded product identifier and sends it to the server.

[1133] Prompt Sentence Examples

[1134] "Please tell me the stock information for product A."

[1135] "Check out this item: A101"

[1136] In this way, the system of the present invention can quickly and accurately obtain inventory information at the distribution center, thereby improving operational efficiency.

[1137] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1138] Step 1:

[1139] The device acquires product identification information

[1140] The user uses a voice input device to input product identification information by voice. The device converts this voice into text using voice recognition software (e.g., Google Cloud Speech-to-Text). Alternatively, the user uses a code reading device to scan a QR code. The device obtains product identification information using a QR code reader. The input here is the user's voice command or QR code, and the output is product identification information in text format.

[1141] Step 2:

[1142] Creating and sending an HTTP request

[1143] The terminal generates an HTTP request (GET method) that includes the acquired product identification information. The request includes the product identification information entered by the user as a parameter. To send this HTTP request, the terminal uses the Requests library or other HTTP client software. The input is the product identification information in text format, and the output is the HTTP request sent to the server.

[1144] Step 3:

[1145] The server receives the HTTP request and extracts the product identification information

[1146] The server receives the HTTP request sent from the terminal. It uses a framework such as Flask to extract product identification information from the parameters in the HTTP request. The input here is the HTTP request, and the output is the extracted product identification information in text format.

[1147] Step 4:

[1148] Search the database and get product inventory information

[1149] The server searches the database based on the extracted product identification information. The database can be of SQL or NoSQL type. The search process retrieves inventory information corresponding to the product identification information. The input is the extracted product identification information, and the output is inventory information as a search result.

[1150] Step 5:

[1151] Convert product inventory information to JSON format and generate a response from the server

[1152] The server converts the acquired inventory information into JSON format and sends it to the terminal as an HTTP response. The JSON response is generated using Flask's response library. The input is the inventory information from the search results, and the output is the JSON-formatted inventory information sent to the terminal.

[1153] Step 6:

[1154] The device receives the response from the server and analyzes the inventory information.

[1155] The terminal receives and parses the JSON response from the server. The parsing process uses a JSON parser library to extract the necessary information (e.g., product name, stock quantity) from the JSON data. The input is the JSON response received from the server, and the output is the parsed stock information.

[1156] Step 7:

[1157] The device displays the analyzed inventory information to the user.

[1158] The terminal displays the parsed inventory information on a visual display device (e.g., the display of smart glasses). The display process uses display control software to present the inventory information to the user in a format that is easy to understand. The input is the parsed inventory information, and the output is the information visually displayed on the display.

[1159] Through the above steps, the user can quickly and accurately check product inventory information.

[1160] 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.

[1161] This invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal, displays that information, and also combines it with an emotion engine that recognizes the user's emotions. This system is mainly composed of a terminal, a server, a database, and an emotion engine.

[1162] System Configuration

[1163] Device:

[1164] The terminal provides an interface for the user to input product identification information. The user enters the product identification information into the terminal's input field and presses the confirmation button. The terminal acquires this information and generates an HTTP request. The terminal also has a built-in emotion engine that can recognize emotions by analyzing the user's voice and facial expressions.

[1165] server:

[1166] The server receives an HTTP request sent from the terminal. The request includes product identification information entered by the user. The server analyzes this product identification information and searches the database to obtain the corresponding product inventory information.

[1167] Database:

[1168] The database is a data management system that stores product identification information and corresponding product inventory information. Information such as the number of items in stock corresponding to the product identification information is stored. The server references this database to obtain product inventory information.

[1169] Emotion Engine:

[1170] The emotion engine is installed in the device and analyzes the user's emotions from their voice and facial expressions. Based on the analysis results, it determines, for example, whether the user is satisfied or dissatisfied with inventory information. The emotion engine has the function of providing specific suggestions and feedback depending on the user's emotions.

[1171] Program processing

[1172] Device:

[1173] The program on the device acquires the product identification information entered by the user. It then generates an HTTP request, which includes the product identification information. It then sends this request to the server. It also acquires the user's emotions using the device's camera and microphone, which are then analyzed by the emotion engine.

[1174] server:

[1175] When the program on the server receives an HTTP request, it extracts product identification information from the parameters in the request, then searches the database to obtain the corresponding product inventory information, converts the obtained information into JSON format, and sends it to the terminal as a response.

[1176] Device:

[1177] The terminal receives a response from the server. If the response is successful (HTTP status code 200), it analyzes the contents. The product inventory information obtained as a result of the analysis is displayed to the user. The displayed information includes the product name and the number of items in stock. The emotion engine also analyzes the user's emotions and suggests the next action based on the results. For example, if the user expresses dissatisfaction with a low stock, it will suggest an alternative product or recommend setting up notifications when the item is back in stock.

[1178] Specific examples

[1179] User Action:

[1180] The user enters the product identification information "A101" into the input field on the device and presses the confirmation button. The device acquires this product identification information and generates an HTTP request. The request is sent to the server. The device's camera also reads the user's facial expression, and the emotion engine begins analysis.

[1181] Server process:

[1182] The server processes the HTTP request received from the terminal and extracts the product identification information "A101." It searches the database and confirms that there are 10 units of product A in stock. It then converts this information into JSON format and returns a response to the terminal that includes the name of "product A" and the stock quantity "10."

[1183] Terminal display:

[1184] The device analyzes the JSON response received from the server and displays the following information to the user: "Product ID: A101, Inventory Information: Product A - Quantity in Stock: 10." By looking at this, the user can check the stock status of Product A. At the same time, the emotion engine analyzes the user's emotions from their facial expressions, and if the user is satisfied, for example, it will suggest "proceed to the purchase process for Product A."

[1185] The above is a specific embodiment for carrying out the present invention. This system allows users to quickly and accurately obtain product inventory information, and also allows users to receive suggestions and support that are tailored to their own emotions.

[1186] The processing flow will be explained below.

[1187] Step 1:

[1188] The user enters the product identification information (e.g., "A101") into the input field on the terminal and presses the confirmation button.

[1189] Step 2:

[1190] The terminal acquires the product identification information entered by the user, and stores this information in a variable for use in subsequent processing.

[1191] Step 3:

[1192] The terminal generates an HTTP request containing the obtained product identification information. The request is sent to a specific endpoint (e.g., " / check_stock") on the server using the HTTP GET method.

[1193] Step 4:

[1194] The terminal sends the generated HTTP request to the server, which includes the product identification information as a parameter.

[1195] Step 5:

[1196] The server receives the HTTP request from the terminal, analyzes the request URL and parameters, and extracts the product identification information (e.g., "A101").

[1197] Step 6:

[1198] The server searches the database and queries the inventory information corresponding to the extracted product identification information. The database stores product IDs and corresponding product inventory information (e.g., stock quantity).

[1199] Step 7:

[1200] The server generates product inventory information based on the search results. The generated information is converted to JSON format. This information includes the product name and stock quantity (e.g., {"name": "Product A", "stock": 10}).

[1201] Step 8:

[1202] The server sends a JSON-formatted response to the terminal, which includes inventory information corresponding to the product identification information.

[1203] Step 9:

[1204] The terminal receives the response received from the server. First, it checks the HTTP status code, and if the response is successful (200 OK), it parses the JSON data.

[1205] Step 10:

[1206] The terminal extracts the product name and stock quantity from the parsed JSON data and displays this information in a user-friendly format (e.g., "Product ID: A101, Stock Information: Product A - Stock Quantity: 10").

[1207] Step 11:

[1208] The user checks the product inventory information displayed on the terminal and takes the following action if necessary.

[1209] Step 12:

[1210] The device captures the user's facial expressions with a camera and picks up their voice with a microphone.

[1211] Step 13:

[1212] The device's emotion engine analyzes the captured facial expressions and audio to recognize the user's emotion. For example, if the user is smiling, it is recognized as "satisfied."

[1213] Step 14:

[1214] The device generates appropriate suggestions based on the user's emotions, for example, "Proceed to checkout" if the user is satisfied with the inventory information.

[1215] Step 15:

[1216] The device displays suggestions to the user and prompts them for their next action.

[1217] The above are the specific processing steps of the program of the present invention, which allow users to quickly and accurately obtain inventory information and receive emotionally appropriate suggestions, providing a more personalized experience.

[1218] Example 2

[1219] 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."

[1220] There is a need for a system that allows users to quickly and accurately obtain product inventory information based on product identification information, and also allows them to receive appropriate suggestions and support based on their emotions. Conventional systems lack the functionality to analyze user emotions, which limits the user experience.

[1221] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1222] In this invention, the server includes: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and transmits it to the server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; a terminal that analyzes the information received from the server and displays it to the user; an emotion engine installed in the terminal that acquires and analyzes the user's emotions; and an emotion engine that makes suggestions to the user based on the analysis results. This allows the user to not only acquire product inventory information but also receive suggestions and support according to their emotions.

[1223] A "terminal" is a device that allows a user to input product identification information. It is primarily equipped with an input field, a camera, and a microphone, and is used to generate HTTP requests and acquire and analyze emotion data.

[1224] A "server" is a device that receives HTTP requests sent from terminals, analyzes product identification information, searches a database, and generates product inventory information.

[1225] A "database" is a data management system that stores product identification information and corresponding product inventory information for search by the server.

[1226] An "HTTP request" is a request that includes product identification information input by a user through a terminal and is sent from the terminal to a server.

[1227] "Product identification information" is information that a user inputs into a terminal to identify a specific product.

[1228] "Product inventory information" is data that includes the inventory quantity and related detailed information for a specific product.

[1229] An "emotion engine" is software or a system that recognizes a user's emotions by acquiring and analyzing the user's voice and facial expression data.

[1230] "Suggestions" are recommended actions or support provided to users by the emotion engine based on the analysis results.

[1231] This invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal, displays that information, and also combines it with an emotion engine that recognizes the user's emotions. The main components are a terminal, a server, a database, and an emotion engine. The role of each component and the program processing will be explained in order.

[1232] System Configuration

[1233] Terminal

[1234] Device functions: Provides an interface for users to input product identification information. Equipped with an input field, camera, and microphone, it generates HTTP requests and acquires and analyzes emotion data.

[1235] Software example: Implemented as a browser-based web application or a mobile application.

[1236] Examples of hardware include: common computing devices such as smartphones, tablets, and personal computers.

[1237] server

[1238] Server function: Analyzes product identification information based on the HTTP request sent from the terminal, searches the database, and obtains product inventory information.

[1239] Examples of software: web servers (Apache, Nginx, etc.), application servers (Node.js, Django, etc.).

[1240] Examples of hardware: cloud servers (AWS, Google Cloud, etc.) or internal physical servers within a company.

[1241] Database

[1242] Database function: Stores and manages product identification information and corresponding product inventory information.

[1243] Examples of software: relational databases (MySQL, PostgreSQL, etc.), NoSQL databases (MongoDB, etc.).

[1244] Examples of hardware: cloud database services, physical database servers.

[1245] Emotion Engine

[1246] Emotion engine function: Analyzes emotions from the user's voice and facial expressions, and provides suggestions and feedback based on the results.

[1247] Specific examples of software include: emotion recognition algorithms (e.g., Microsoft Azure Emotion API, Google Emotion AI).

[1248] Examples of hardware include cameras and microphones built into devices.

[1249] Program processing

[1250] Terminal

[1251] The user enters product identification information into the input field on the device and presses the confirmation button. The device acquires this information, generates an HTTP request, and sends it to the server. At the same time, the device's built-in camera and microphone are used to acquire the user's emotional data, which is then analyzed by the emotion engine.

[1252] server

[1253] The server analyzes the HTTP request received from the terminal and extracts the product identification information. It then searches the database to obtain the corresponding product inventory information. It converts the obtained information into JSON format and returns it to the terminal.

[1254] Terminal (continued)

[1255] The device analyzes the product inventory information received from the server and displays it to the user. At the same time, the emotion engine provides appropriate suggestions and feedback based on the analyzed emotion data.

[1256] Specific examples

[1257] The user enters the product identification information "A101" into the input field on the terminal and presses the confirmation button. The terminal obtains this product identification information, generates an HTTP request, and sends it to the server. The terminal's camera then captures the user's facial expression, and the microphone records audio, which the emotion engine analyzes. The server analyzes the received HTTP request, extracts the product identification information "A101," and searches the database. It confirms that there are 10 units of product A in stock, converts this information into JSON format, and sends it back to the terminal. The terminal displays the product ID "A101" and the inventory information "Product A - Stock quantity: 10" to the user, and the emotion engine makes suggestions such as "Proceed to purchase checkout for product A" based on the results of the user's emotion analysis.

[1258] Prompt Sentence Examples

[1259] Please enter the product identification information in the input field, for example, "A101". Then press the confirm button.

[1260] After pressing the confirm button, please wait while we retrieve product information. Additionally, please wait a moment while the camera and microphone analyze your face and voice.

[1261] The above describes a specific embodiment of the present invention. This system allows users to quickly and accurately obtain product inventory information and receive suggestions based on their emotions.

[1262] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1263] Step 1:

[1264] The user enters product identification information

[1265] Operation: The user enters product identification information such as "A101" into the input field on the terminal and presses the confirmation button.

[1266] Input: Product identification information (e.g. "A101")

[1267] Output: The entered product identification information is imported into the terminal system.

[1268] Step 2:

[1269] The device generates an HTTP request and sends it to the server.

[1270] Operation: The terminal generates an HTTP request using the acquired product identification information and sends it to the server. For example, it generates a request in the format "GET / products?itemID=A101 HTTP / 1.1".

[1271] Input: Product identification information (e.g. "A101")

[1272] Output: The generated HTTP request (e.g. "GET / products?itemID=A101 HTTP / 1.1") is sent to the server.

[1273] Step 3:

[1274] The device acquires the user's emotional data and analyzes it using an emotion engine.

[1275] How it works: The device's built-in camera and microphone capture the user's facial expressions and voice, which are then analyzed by the emotion engine.

[1276] Input: User's voice data and facial expression data

[1277] Output: Analyzed emotion data (e.g., "satisfied," "dissatisfied," etc.)

[1278] Step 4:

[1279] The server receives the HTTP request and extracts the product identification information

[1280] Operation: The server analyzes the HTTP request received from the terminal and extracts the product identification information "A101."

[1281] Input: HTTP request (e.g. "GET / products?itemID=A101 HTTP / 1.1")

[1282] Output: Product identification information extraction result (e.g. "A101")

[1283] Step 5:

[1284] The server searches the database to obtain product inventory information

[1285] Operation: The server searches the database and retrieves the corresponding product stock information. For example, it confirms that there are 10 units of product A in stock.

[1286] Input: Extracted product identification information (e.g. "A101")

[1287] Output: Product inventory information (e.g. "Product A", quantity in stock: 10")

[1288] Step 6:

[1289] The server converts the acquired information into JSON format and sends a response to the device.

[1290] Operation: The server converts the acquired product information into JSON format and sends it to the terminal as a response.

[1291] Input: Product inventory information (e.g. "Product A", quantity in stock: 10")

[1292] Output: Response data in JSON format (e.g., "{"itemID": "A101", "name": "Product A", "stock": 10}")

[1293] Step 7:

[1294] The terminal receives the response from the server, analyzes the product inventory information, and displays it.

[1295] Operation: The terminal analyzes the response received from the server and displays the information "Product ID: A101, Stock information: Product A - Stock quantity: 10" to the user.

[1296] Input: Response data from the server (e.g., "{"itemID": "A101", "name": "Product A", "stock": 10}")

[1297] Output: Product inventory information to be displayed (e.g. "Product ID: A101, Inventory information: Product A - Quantity in stock: 10")

[1298] Step 8:

[1299] The device makes appropriate suggestions to the user based on the analysis results of the emotion engine.

[1300] How it works: The device's emotion engine makes appropriate suggestions to the user based on the analysis results. For example, if a user is dissatisfied with a shortage of stock, it will suggest alternative products or recommend setting up notifications when new stock arrives.

[1301] Input: Analysis result of emotion engine (e.g. "dissatisfied")

[1302] Output: Proposal content (e.g. "If there is a shortage of stock, would you like to suggest substitute item B101?")

[1303] (Application example 2)

[1304] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1305] Conventional online shopping sites allow users to input product identification information to obtain inventory information, but lack the functionality to provide feedback and suggestions that take user emotions into account. As a result, the inconvenience and dissatisfaction experienced by users when faced with negative information such as inventory shortages are not fully resolved. Furthermore, the lack of action suggestions based on user emotions prevents an improvement in the user experience.

[1306] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1307] In this invention, the server includes: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and transmits it to the server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; a terminal that displays the product inventory information received from the server to the user; a terminal that analyzes the user's emotions using an emotion engine that recognizes the user's emotions; and a terminal that suggests a next action based on the user's emotions analyzed by the emotion engine. This improves the user experience and eliminates the inconvenience and dissatisfaction that users may experience when receiving negative information, such as inventory shortages.

[1308] A "terminal" is a device that provides an interface for a user to input product identification information.

[1309] "Product identification information" is information for uniquely identifying a specific product.

[1310] An "HTTP request" is a communication protocol for sending data such as product identification information to a server.

[1311] A "server" is a device that receives an HTTP request, analyzes the product identification information, searches a database, and returns the results to the terminal.

[1312] A "database" is a system that manages product identification information and corresponding product inventory information.

[1313] "Product inventory information" refers to information such as the number of items in stock for a particular product.

[1314] An "emotion engine" is software or hardware that analyzes the user's voice and facial expressions and recognizes their emotions.

[1315] "Analysis" is the process of analyzing acquired data to obtain meaningful information.

[1316] "Action suggestion" refers to suggesting the next action to be taken based on the user's emotions.

[1317] "Emotion data" is information about emotions obtained from the user's voice and facial expressions.

[1318] The present invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal, displays that information, and combines it with an emotion engine that recognizes the user's emotions. This system is primarily composed of a terminal, a server, a database, and an emotion engine. Specific embodiments for implementing this system are described below.

[1319] Terminal

[1320] The terminal is equipped with an interface for the user to input product identification information. The user can enter the product identification information in the input field of the terminal and send the information by pressing a confirmation button. The terminal also has a built-in emotion engine that uses a camera and microphone to capture the user's facial expressions and voice and recognize their emotions.

[1321] server

[1322] The server is responsible for receiving HTTP requests sent from the terminal. The received request contains the product identification information entered by the user. The server analyzes the product identification information and searches the database to obtain the corresponding product inventory information.

[1323] Database

[1324] The database is a system for managing product identification information and corresponding product inventory information. It stores the number of items in stock corresponding to the product identification information and other related information. The server references this database to obtain the necessary inventory information.

[1325] Emotion Engine

[1326] An emotion engine is software or hardware for analyzing a user's emotions. It captures the user's facial expressions and voice data from a camera or microphone, analyzes them, and recognizes the user's emotions. For example, if a user expresses dissatisfaction with inventory information, it can suggest alternative products or set up notifications for inventory replenishment.

[1327] Specific examples

[1328] For example, suppose a user enters product identification information "A101" into the input field on their device and confirms it. In this case, the device generates an HTTP request and sends it to the server. The server processes the request, searches the database for product identification information "A101," and obtains stock information for product A. The obtained information is returned to the device in JSON format. The device analyzes this information and displays to the user, "There are 10 units of product A in stock." At the same time, the emotion engine analyzes the user's facial expression and, if the user is satisfied, suggests, for example, "Proceed to the purchase procedure for product A."

[1329] Prompt Sentence Examples

[1330] When a user enters "A101" as product identification information in the smartphone app and wants to check stock information, please implement a function that analyzes emotions and provides feedback based on the stock information.

[1331] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1332] Step 1:

[1333] The terminal acquires the product identification information input by the user.

[1334] Input: The user enters product identification information (e.g., "A101") into the device's input field.

[1335] Specific operation: The user enters product identification information in the input field and presses the confirmation button. The terminal acquires this product identification information and temporarily stores it.

[1336] Output: The retrieved product identification information.

[1337] Step 2:

[1338] The terminal generates an HTTP request including the acquired product identification information and transmits it to the server.

[1339] Input: The retrieved product identification information.

[1340] Specific operation: The terminal generates an HTTP request including product identification information and sends it to the server.

[1341] Output: Sending an HTTP request containing product identification information.

[1342] Step 3:

[1343] The server extracts the product identification information from the received HTTP request.

[1344] Input: The HTTP request sent from the device.

[1345] Specific operation: The server analyzes the received HTTP request and extracts the product identification information.

[1346] Output: Extracted product identification information.

[1347] Step 4:

[1348] The server searches the database and retrieves product inventory information.

[1349] Input: Extracted product identification information.

[1350] Specific operation: The server searches the database and obtains the corresponding product inventory information.

[1351] Output: Retrieved product inventory information.

[1352] Step 5:

[1353] The server converts the product inventory information into JSON format and responds to the terminal.

[1354] Input: Retrieved product inventory information.

[1355] Specific operation: The server converts product inventory information into JSON format and sends it to the terminal as a response.

[1356] Output: Product availability information sent in JSON format.

[1357] Step 6:

[1358] The terminal displays the product inventory information received from the server to the user.

[1359] Input: Product inventory information sent from the server in JSON format.

[1360] Specific operation: The terminal parses product inventory information in JSON format and displays it visually to the user.

[1361] Output: Product availability information displayed to the user.

[1362] Step 7:

[1363] The device uses a camera and microphone to acquire the user's emotional data and analyzes the emotions using an emotion engine.

[1364] Input: User's facial expressions and voice.

[1365] Specific operation: The device's camera and microphone capture the user's facial expressions and voice data, which is then analyzed by the emotion engine to recognize emotions.

[1366] Output: Parsed user emotion data.

[1367] Step 8:

[1368] The emotion engine analyzes the user's emotions and suggests the next action to take.

[1369] Input: Parsed user emotion data.

[1370] Specific operation: Based on the analysis results, the emotion engine will suggest alternative products or set up notifications for stock replenishment if the user is dissatisfied, for example.

[1371] Output: Specific suggestions and feedback to the user.

[1372] 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.

[1373] 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.

[1374] 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.

[1375] [Fourth embodiment]

[1376] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1377] 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.

[1378] 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).

[1379] 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.

[1380] 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.

[1381] 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).

[1382] 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.

[1383] 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.

[1384] 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.

[1385] 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.

[1386] 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.

[1387] 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.

[1388] 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."

[1389] The present invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal and displays that information. This system is mainly composed of a terminal, a server, and a database.

[1390] System Configuration

[1391] Device:

[1392] The terminal provides an interface for the user to input product identification information. The user enters the product identification information into the input field of the terminal and presses the confirmation button. The terminal acquires this information and generates an HTTP request.

[1393] server:

[1394] The server receives an HTTP request sent from the terminal. The request includes product identification information entered by the user. The server analyzes this product identification information and searches the database to obtain the corresponding product inventory information.

[1395] Database:

[1396] The database is a data management system that stores product identification information and corresponding product inventory information. Information such as the number of items in stock corresponding to the product identification information is stored. The server references this database to obtain product inventory information.

[1397] Program processing

[1398] Device:

[1399] The program on the terminal acquires the product identification information entered by the user, then generates an HTTP request including the product identification information, and sends this request to the server.

[1400] server:

[1401] When the program on the server receives an HTTP request, it extracts product identification information from the parameters in the request, then searches the database to obtain the corresponding product inventory information, converts the obtained information into JSON format, and sends it to the terminal as a response.

[1402] Device:

[1403] The terminal receives the response from the server. If the response is successful (HTTP status code 200), it analyzes the contents. The product inventory information obtained as a result of the analysis is displayed to the user. The displayed information includes the product name and the number of items in stock.

[1404] Specific examples

[1405] User Action:

[1406] The user enters the product identification information "A101" into the input field on the terminal and presses the confirmation button. The terminal acquires this product identification information, generates an HTTP request, and sends the request to the server.

[1407] Server process:

[1408] The server processes the HTTP request received from the terminal and extracts the product identification information "A101." It searches the database and confirms that there are 10 units of product A in stock. It then converts this information into JSON format and returns a response to the terminal that includes the name of "product A" and the stock quantity "10."

[1409] Terminal display:

[1410] The terminal parses the JSON format response received from the server and displays the information "Product ID: A101, Inventory information: Product A - Quantity in stock: 10" to the user. By looking at this, the user can check the stock status of Product A.

[1411] The above is a specific embodiment for carrying out the present invention. This system allows users to quickly and accurately obtain product inventory information and enjoy a seamless online shopping experience.

[1412] The processing flow will be explained below.

[1413] Step 1:

[1414] The user enters the product identification information (e.g., "A101") into the input field on the terminal and presses the confirmation button.

[1415] Step 2:

[1416] The terminal acquires the product identification information entered by the user, and stores this information in a variable for use in subsequent processing.

[1417] Step 3:

[1418] The terminal generates an HTTP request containing the obtained product identification information. The request is sent to a specific endpoint (e.g., " / check_stock") on the server using the HTTP GET method.

[1419] Step 4:

[1420] The terminal sends the generated HTTP request to the server, which includes the product identification information as a parameter.

[1421] Step 5:

[1422] The server receives the HTTP request from the terminal, analyzes the request URL and parameters, and extracts the product identification information (e.g., "A101").

[1423] Step 6:

[1424] The server searches the database and queries the inventory information corresponding to the extracted product identification information. The database stores product IDs and corresponding product inventory information (e.g., stock quantity).

[1425] Step 7:

[1426] The server generates product inventory information based on the search results. The generated information is converted to JSON format. This information includes the product name and stock quantity (e.g., {"name": "Product A", "stock": 10}).

[1427] Step 8:

[1428] The server sends a JSON-formatted response to the terminal, which includes inventory information corresponding to the product identification information.

[1429] Step 9:

[1430] The terminal receives the response received from the server. First, it checks the HTTP status code, and if the response is successful (200 OK), it parses the JSON data.

[1431] Step 10:

[1432] The terminal extracts the product name and stock quantity from the parsed JSON data and displays this information in a user-friendly format (e.g., "Product ID: A101, Stock Information: Product A - Stock Quantity: 10").

[1433] Step 11:

[1434] The user checks the product inventory information displayed on the terminal and takes the following action if necessary.

[1435] The above are the specific processing steps of the program in the present invention. These steps allow the user to quickly and accurately obtain inventory information, enabling the entire system to operate effectively.

[1436] Example 1

[1437] 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."

[1438] In conventional online shopping systems, when users input product identification information to obtain product inventory information, delays and uncertainty in information occur. This can degrade the user experience and, in some cases, result in lost product sales opportunities. The present invention aims to solve these problems and provide users with fast and accurate product inventory information.

[1439] 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.

[1440] In this invention, the server includes means for extracting product identification information from a received HTTP request, means for searching a data storage device, and means for generating product inventory information in a structured data format based on the search results and responding to the terminal, thereby enabling the provision of fast and accurate product inventory information.

[1441] A "terminal" is an electronic device that allows a user to input product identification information and transmit and receive information.

[1442] A "user" is an individual or organization that uses the system to input product identification information and obtain product inventory information.

[1443] "Product identification information" is a unique code or character string that identifies a particular product.

[1444] An "HTTP request" is a request message based on a protocol for transmitting information from a terminal to a server.

[1445] A "server" is a computer system that analyzes HTTP requests received from terminals, searches a data storage device, and returns information.

[1446] The "data storage device" is a storage medium for storing data such as product identification information and corresponding product inventory information.

[1447] A "structured data format" is a data format, such as JSON or XML, in which data is structured according to a specific format.

[1448] The "search results" refer to inventory information corresponding to the product identification information obtained from the data storage device.

[1449] A "response" is a message containing information that the server sends back to the terminal.

[1450] The "retrieval method" refers to the GET method for retrieving data in an HTTP request.

[1451] The above are definitions of important terms contained in the claims.

[1452] The present invention is a system that acquires and displays product inventory information based on product identification information input by a user using a terminal. This system is mainly composed of a terminal, a server, and a data storage device.

[1453] Hardware and software used

[1454] Terminal

[1455] The terminal provides an interface for the user to enter product identification information. This can be a computer, smartphone, tablet, or other electronic device. The terminal runs software that generates and sends HTTP requests to the server.

[1456] server

[1457] A server is a computer system that receives HTTP requests sent from terminals, analyzes them, and processes the data. Web server software (such as Apache or Nginx) is installed on the server to process the requests.

[1458] Data Storage Device

[1459] The data storage device is a database that stores product identification information and corresponding product inventory information. An SQL database (e.g., MySQL or PostgreSQL) is typically used.

[1460] Program processing

[1461] Device:

[1462] The program on the terminal acquires the product identification information entered by the user, then generates an HTTP request including the product identification information, and sends this request to the server.

[1463] server:

[1464] When the program on the server receives an HTTP request, it extracts product identification information from the parameters in the request, then searches the database to obtain the corresponding product inventory information, converts the obtained information into a structured data format (e.g., JSON format), and sends it to the terminal as a response.

[1465] Device:

[1466] The terminal receives the response from the server. If the response is successful (for example, HTTP status code 200), it analyzes the contents. The product inventory information obtained as a result of the analysis is displayed to the user. The displayed information includes the product name and the number of items in stock.

[1467] Specific examples

[1468] 1. User enters product identification information:

[1469] The user enters the product identification information "A101" into the input field on the terminal and presses the confirmation button. The terminal acquires this product identification information, generates an HTTP request, and sends the request to the server.

[1470] 2. Server processing of request and data retrieval:

[1471] The server processes the HTTP request received from the terminal and extracts the product identification information "A101." It searches the database and confirms that there are 10 units of "Product A" in stock. It then converts this information into structured data (JSON format) and returns a response to the terminal that includes the name of "Product A" and the stock quantity "10."

[1472] 3. Terminal displays the response:

[1473] The terminal parses the JSON format response received from the server and displays the information "Product ID: A101, Stock information: Product A - Stock quantity: 10" to the user. The user can check the stock status of Product A by looking at this.

[1474] Example prompts using generative AI

[1475] For example, you can enter the following prompt for a generative AI model (e.g., ChatGPT):

[1476] "Please explain in detail the processing steps of the system that checks inventory information using product identification information A101."

[1477] This allows the generative AI model to output each of the steps mentioned above in detail.

[1478] This system allows users to quickly and accurately obtain product inventory information, providing a smooth online shopping experience.

[1479] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1480] I understand. Now, I will explain the processing flow of the system program by dividing it into processing steps as follows.

[1481] Program processing flow

[1482] Step 1: User Input

[1483] The user inputs product identification information into the input field of the terminal and presses the confirmation button. The input product identification information is acquired by the terminal.

[1484] input:

[1485] The user enters product identification information (e.g., "A101")

[1486] Operation:

[1487] The user enters the product identification information on the terminal screen and presses the confirmation button.

[1488] output:

[1489] The device acquires product identification information

[1490] Step 2: Submit product identification information

[1491] The terminal generates an HTTP request including the acquired product identification information and sends the request to the server.

[1492] input:

[1493] Acquired product identification information (e.g., "A101")

[1494] Data processing:

[1495] The device generates an HTTP request containing product identification information

[1496] Operation:

[1497] The terminal generates an HTTP request including the product identification information "A101" and sends it to the server via the network.

[1498] output:

[1499] HTTP request sent to the server

[1500] Step 3: Receiving and parsing the request on the server side

[1501] When the server receives the HTTP request, it extracts the product identification information from the request.

[1502] input:

[1503] HTTP request sent to the server

[1504] Data processing:

[1505] The server extracts product identification information from the HTTP request

[1506] Operation:

[1507] The server extracts the product identification information "A101" from the received request.

[1508] output:

[1509] Extracted product identification information

[1510] Step 4: Database Search

[1511] The server searches the database based on the extracted product identification information and obtains the corresponding product inventory information.

[1512] input:

[1513] Extracted product identification information (e.g., "A101")

[1514] Data processing:

[1515] The server searches the data storage device and obtains product inventory information.

[1516] Operation:

[1517] The server searches the database using "A101" as a key. For example, it retrieves information such as "Product name: Product A, Stock quantity: 10."

[1518] output:

[1519] Retrieved product inventory information

[1520] Step 5: Generate a response

[1521] The server converts the acquired product inventory information into a structured data format (for example, JSON format) and sends it to the terminal as a response.

[1522] input:

[1523] Retrieved product inventory information (e.g., "Product name: Product A, Stock quantity: 10")

[1524] Data processing:

[1525] Serialize product inventory information into JSON format

[1526] Operation:

[1527] The server converts the information "Product name: Product A, Stock quantity: 10" into JSON format and includes it in the HTTP response to the terminal.

[1528] output:

[1529] JSON-formatted response sent to the device

[1530] Step 6: Receive and display the response

[1531] The device receives a JSON-formatted response from the server, parses the contents, and displays it to the user.

[1532] input:

[1533] JSON response sent from the server

[1534] Data processing:

[1535] Parse the JSON response

[1536] Operation:

[1537] The terminal analyzes the JSON response received from the server and displays it on the screen in the format "Product ID: A101, Product name: Product A, Quantity in stock: 10".

[1538] output:

[1539] Product availability information displayed to users

[1540] This allows users to quickly and accurately check product inventory information, significantly improving the convenience and efficiency of online shopping.

[1541] (Application example 1)

[1542] 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."

[1543] In logistics centers, conventional inventory management systems make it difficult to improve operational efficiency because it takes time to input product identification information and obtain inventory information. In addition, in a work environment where quick and accurate inventory information is required, operating a handheld device is labor-intensive, making it difficult to check inventory in real time.

[1544] 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.

[1545] In this invention, the server includes: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and sends it to the server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; a terminal that displays the product inventory information received from the server to the user; and a terminal that acquires unique identification information using a voice input device or a code reader and uses that information to instantly display inventory information. This enables workers at the logistics center to quickly and accurately check inventory information through voice input or QR code reading.

[1546] A "terminal" is an electronic device into which a user inputs data such as product identification information and processes the input data.

[1547] A "user" is someone who wants to use the system to check product inventory information.

[1548] "Product identification information" is a code or information for uniquely identifying a specific product.

[1549] An "HTTP request" is a communication message used by a client (terminal) to request or send information to a server.

[1550] A "server" is a computer system that receives requests from clients, processes them, and returns responses.

[1551] "Database" means a data management system for managing product identification information and product-related data (e.g., inventory quantity).

[1552] "Inventory information" is data including the inventory quantity and status of a specific product.

[1553] A "voice input device" is a device that allows a user to input voice commands into a system.

[1554] A "code reading device" is a device for reading code information such as barcodes and QR codes.

[1555] A "visual display device" is a display device, such as a monitor or screen, that visually presents information to a user.

[1556] "Immediately" means obtaining results quickly and without delay.

[1557] "Search results" refers to information obtained by the server searching the database.

[1558] "Generation" means creating and preparing the necessary information or data.

[1559] A "response" is a confirmation or reply message sent from the server to the client (terminal).

[1560] System Overview

[1561] The present invention is a system that instantly acquires product inventory information based on product identification information entered by a user using a voice input device or a code reader, and displays it on a visual display device. This system is mainly composed of a terminal, a server, and a database.

[1562] Terminal configuration and operation

[1563] The terminal provides an interface for the user to input product identification information. The user inputs the product identification information by voice using a voice input device, or by reading a QR code or the like using a code reader. The terminal acquires this information, generates an HTTP request, and sends it to the server.

[1564] example:

[1565] The user puts on the smart glasses and either voice-commands "Tell me the stock information for product A" or scans the product's QR code with the smart glasses' camera.

[1566] Server configuration and operation

[1567] The server receives an HTTP request sent from the terminal. The request includes product identification information entered by the user. The server analyzes this product identification information, searches the database to obtain the corresponding product inventory information, converts the obtained information into JSON format, and sends it to the terminal as a response.

[1568] example:

[1569] The server searches the database based on the identification information for "Product A" received from the terminal and confirms that the stock of Product A is 10. It converts this information into JSON format and returns it to the terminal.

[1570] Configuring the Database

[1571] The database is a data management system that stores product identification information and corresponding product inventory information. Information such as the number of items in stock corresponding to the product identification information is stored. The server references this database to obtain product inventory information.

[1572] example:

[1573] The database stores the product name "Product A" and the stock quantity "10" corresponding to the product identification information "A101."

[1574] Device display features

[1575] The terminal receives the response from the server, analyzes it, and displays the product inventory information to the user. The displayed information includes the product name and the number of items in stock.

[1576] example:

[1577] The device parses the JSON response received from the server, "Product ID: A101, Inventory information: Product A - Stock quantity: 10," and displays "The stock quantity of product A is 10" on the smart glasses display.

[1578] Hardware and software used

[1579] Hardware: Smart glasses (e.g. Google Glass, Vuzix), QR code readers, voice input devices

[1580] Software: Python, Flask (server side), Requests (HTTP client)

[1581] Examples of specific examples and prompts

[1582] Example - Input using a QR code reader:

[1583] The user uses the camera on the smart glasses to read the QR code, which contains the product identifier (e.g., "A101"), and the application generates an HTTP request based on the encoded product identifier and sends it to the server.

[1584] Prompt Sentence Examples

[1585] "Please tell me the stock information for product A."

[1586] "Check out this item: A101"

[1587] In this way, the system of the present invention can quickly and accurately obtain inventory information at the distribution center, thereby improving operational efficiency.

[1588] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1589] Step 1:

[1590] The device acquires product identification information

[1591] The user uses a voice input device to input product identification information by voice. The device converts this voice into text using voice recognition software (e.g., Google Cloud Speech-to-Text). Alternatively, the user uses a code reading device to scan a QR code. The device obtains product identification information using a QR code reader. The input here is the user's voice command or QR code, and the output is product identification information in text format.

[1592] Step 2:

[1593] Creating and sending an HTTP request

[1594] The terminal generates an HTTP request (GET method) that includes the acquired product identification information. The request includes the product identification information entered by the user as a parameter. To send this HTTP request, the terminal uses the Requests library or other HTTP client software. The input is the product identification information in text format, and the output is the HTTP request sent to the server.

[1595] Step 3:

[1596] The server receives the HTTP request and extracts the product identification information

[1597] The server receives the HTTP request sent from the terminal. It uses a framework such as Flask to extract product identification information from the parameters in the HTTP request. The input here is the HTTP request, and the output is the extracted product identification information in text format.

[1598] Step 4:

[1599] Search the database and get product inventory information

[1600] The server searches the database based on the extracted product identification information. The database can be of SQL or NoSQL type. The search process retrieves inventory information corresponding to the product identification information. The input is the extracted product identification information, and the output is inventory information as a search result.

[1601] Step 5:

[1602] Convert product inventory information to JSON format and generate a response from the server

[1603] The server converts the acquired inventory information into JSON format and sends it to the terminal as an HTTP response. The JSON response is generated using Flask's response library. The input is the inventory information from the search results, and the output is the JSON-formatted inventory information sent to the terminal.

[1604] Step 6:

[1605] The device receives the response from the server and analyzes the inventory information.

[1606] The terminal receives and parses the JSON response from the server. The parsing process uses a JSON parser library to extract the necessary information (e.g., product name, stock quantity) from the JSON data. The input is the JSON response received from the server, and the output is the parsed stock information.

[1607] Step 7:

[1608] The device displays the analyzed inventory information to the user.

[1609] The terminal displays the parsed inventory information on a visual display device (e.g., the display of smart glasses). The display process uses display control software to present the inventory information to the user in a format that is easy to understand. The input is the parsed inventory information, and the output is the information visually displayed on the display.

[1610] Through the above steps, the user can quickly and accurately check product inventory information.

[1611] 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.

[1612] This invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal, displays that information, and also combines it with an emotion engine that recognizes the user's emotions. This system is mainly composed of a terminal, a server, a database, and an emotion engine.

[1613] System Configuration

[1614] Device:

[1615] The terminal provides an interface for the user to input product identification information. The user enters the product identification information into the terminal's input field and presses the confirmation button. The terminal acquires this information and generates an HTTP request. The terminal also has a built-in emotion engine that can recognize emotions by analyzing the user's voice and facial expressions.

[1616] server:

[1617] The server receives an HTTP request sent from the terminal. The request includes product identification information entered by the user. The server analyzes this product identification information and searches the database to obtain the corresponding product inventory information.

[1618] Database:

[1619] The database is a data management system that stores product identification information and corresponding product inventory information. Information such as the number of items in stock corresponding to the product identification information is stored. The server references this database to obtain product inventory information.

[1620] Emotion Engine:

[1621] The emotion engine is installed in the device and analyzes the user's emotions from their voice and facial expressions. Based on the analysis results, it determines, for example, whether the user is satisfied or dissatisfied with inventory information. The emotion engine has the function of providing specific suggestions and feedback depending on the user's emotions.

[1622] Program processing

[1623] Device:

[1624] The program on the device acquires the product identification information entered by the user. It then generates an HTTP request, which includes the product identification information. It then sends this request to the server. It also acquires the user's emotions using the device's camera and microphone, which are then analyzed by the emotion engine.

[1625] server:

[1626] When the program on the server receives an HTTP request, it extracts product identification information from the parameters in the request, then searches the database to obtain the corresponding product inventory information, converts the obtained information into JSON format, and sends it to the terminal as a response.

[1627] Device:

[1628] The terminal receives a response from the server. If the response is successful (HTTP status code 200), it analyzes the contents. The product inventory information obtained as a result of the analysis is displayed to the user. The displayed information includes the product name and the number of items in stock. The emotion engine also analyzes the user's emotions and suggests the next action based on the results. For example, if the user expresses dissatisfaction with a low stock, it will suggest an alternative product or recommend setting up notifications when the item is back in stock.

[1629] Specific examples

[1630] User Action:

[1631] The user enters the product identification information "A101" into the input field on the device and presses the confirmation button. The device acquires this product identification information and generates an HTTP request. The request is sent to the server. The device's camera also reads the user's facial expression, and the emotion engine begins analysis.

[1632] Server process:

[1633] The server processes the HTTP request received from the terminal and extracts the product identification information "A101." It searches the database and confirms that there are 10 units of product A in stock. It then converts this information into JSON format and returns a response to the terminal that includes the name of "product A" and the stock quantity "10."

[1634] Terminal display:

[1635] The device analyzes the JSON response received from the server and displays the following information to the user: "Product ID: A101, Inventory Information: Product A - Quantity in Stock: 10." By looking at this, the user can check the stock status of Product A. At the same time, the emotion engine analyzes the user's emotions from their facial expressions, and if the user is satisfied, for example, it will suggest "proceed to the purchase process for Product A."

[1636] The above is a specific embodiment for carrying out the present invention. This system allows users to quickly and accurately obtain product inventory information, and also allows users to receive suggestions and support that are tailored to their own emotions.

[1637] The processing flow will be explained below.

[1638] Step 1:

[1639] The user enters the product identification information (e.g., "A101") into the input field on the terminal and presses the confirmation button.

[1640] Step 2:

[1641] The terminal acquires the product identification information entered by the user, and stores this information in a variable for use in subsequent processing.

[1642] Step 3:

[1643] The terminal generates an HTTP request containing the obtained product identification information. The request is sent to a specific endpoint (e.g., " / check_stock") on the server using the HTTP GET method.

[1644] Step 4:

[1645] The terminal sends the generated HTTP request to the server, which includes the product identification information as a parameter.

[1646] Step 5:

[1647] The server receives the HTTP request from the terminal, analyzes the request URL and parameters, and extracts the product identification information (e.g., "A101").

[1648] Step 6:

[1649] The server searches the database and queries the inventory information corresponding to the extracted product identification information. The database stores product IDs and corresponding product inventory information (e.g., stock quantity).

[1650] Step 7:

[1651] The server generates product inventory information based on the search results. The generated information is converted to JSON format. This information includes the product name and stock quantity (e.g., {"name": "Product A", "stock": 10}).

[1652] Step 8:

[1653] The server sends a JSON-formatted response to the terminal, which includes inventory information corresponding to the product identification information.

[1654] Step 9:

[1655] The terminal receives the response received from the server. First, it checks the HTTP status code, and if the response is successful (200 OK), it parses the JSON data.

[1656] Step 10:

[1657] The terminal extracts the product name and stock quantity from the parsed JSON data and displays this information in a user-friendly format (e.g., "Product ID: A101, Stock Information: Product A - Stock Quantity: 10").

[1658] Step 11:

[1659] The user checks the product inventory information displayed on the terminal and takes the following action if necessary.

[1660] Step 12:

[1661] The device captures the user's facial expressions with a camera and picks up their voice with a microphone.

[1662] Step 13:

[1663] The device's emotion engine analyzes the captured facial expressions and audio to recognize the user's emotion. For example, if the user is smiling, it is recognized as "satisfied."

[1664] Step 14:

[1665] The device generates appropriate suggestions based on the user's emotions, for example, "Proceed to checkout" if the user is satisfied with the inventory information.

[1666] Step 15:

[1667] The device displays suggestions to the user and prompts them for their next action.

[1668] The above are the specific processing steps of the program of the present invention, which allow users to quickly and accurately obtain inventory information and receive emotionally appropriate suggestions, providing a more personalized experience.

[1669] Example 2

[1670] 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."

[1671] There is a need for a system that allows users to quickly and accurately obtain product inventory information based on product identification information, and also allows them to receive appropriate suggestions and support based on their emotions. Conventional systems lack the functionality to analyze user emotions, which limits the user experience.

[1672] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1673] In this invention, the server includes: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and transmits it to the server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; a terminal that analyzes the information received from the server and displays it to the user; an emotion engine installed in the terminal that acquires and analyzes the user's emotions; and an emotion engine that makes suggestions to the user based on the analysis results. This allows the user to not only acquire product inventory information but also receive suggestions and support according to their emotions.

[1674] A "terminal" is a device that allows a user to input product identification information. It is primarily equipped with an input field, a camera, and a microphone, and is used to generate HTTP requests and acquire and analyze emotion data.

[1675] A "server" is a device that receives HTTP requests sent from terminals, analyzes product identification information, searches a database, and generates product inventory information.

[1676] A "database" is a data management system that stores product identification information and corresponding product inventory information for search by the server.

[1677] An "HTTP request" is a request that includes product identification information input by a user through a terminal and is sent from the terminal to a server.

[1678] "Product identification information" is information that a user inputs into a terminal to identify a specific product.

[1679] "Product inventory information" is data that includes the inventory quantity and related detailed information for a specific product.

[1680] An "emotion engine" is software or a system that recognizes a user's emotions by acquiring and analyzing the user's voice and facial expression data.

[1681] "Suggestions" are recommended actions or support provided to users by the emotion engine based on the analysis results.

[1682] This invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal, displays that information, and also combines it with an emotion engine that recognizes the user's emotions. The main components are a terminal, a server, a database, and an emotion engine. The role of each component and the program processing will be explained in order.

[1683] System Configuration

[1684] Terminal

[1685] Device functions: Provides an interface for users to input product identification information. Equipped with an input field, camera, and microphone, it generates HTTP requests and acquires and analyzes emotion data.

[1686] Software example: Implemented as a browser-based web application or a mobile application.

[1687] Examples of hardware include: common computing devices such as smartphones, tablets, and personal computers.

[1688] server

[1689] Server function: Analyzes product identification information based on the HTTP request sent from the terminal, searches the database, and obtains product inventory information.

[1690] Examples of software: web servers (Apache, Nginx, etc.), application servers (Node.js, Django, etc.).

[1691] Examples of hardware: cloud servers (AWS, Google Cloud, etc.) or internal physical servers within a company.

[1692] Database

[1693] Database function: Stores and manages product identification information and corresponding product inventory information.

[1694] Examples of software: relational databases (MySQL, PostgreSQL, etc.), NoSQL databases (MongoDB, etc.).

[1695] Examples of hardware: cloud database services, physical database servers.

[1696] Emotion Engine

[1697] Emotion engine function: Analyzes emotions from the user's voice and facial expressions, and provides suggestions and feedback based on the results.

[1698] Specific examples of software include: emotion recognition algorithms (e.g., Microsoft Azure Emotion API, Google Emotion AI).

[1699] Examples of hardware include cameras and microphones built into devices.

[1700] Program processing

[1701] Terminal

[1702] The user enters product identification information into the input field on the device and presses the confirmation button. The device acquires this information, generates an HTTP request, and sends it to the server. At the same time, the device's built-in camera and microphone are used to acquire the user's emotional data, which is then analyzed by the emotion engine.

[1703] server

[1704] The server analyzes the HTTP request received from the terminal and extracts the product identification information. It then searches the database to obtain the corresponding product inventory information. It converts the obtained information into JSON format and returns it to the terminal.

[1705] Terminal (continued)

[1706] The device analyzes the product inventory information received from the server and displays it to the user. At the same time, the emotion engine provides appropriate suggestions and feedback based on the analyzed emotion data.

[1707] Specific examples

[1708] The user enters the product identification information "A101" into the input field on the terminal and presses the confirmation button. The terminal obtains this product identification information, generates an HTTP request, and sends it to the server. The terminal's camera then captures the user's facial expression, and the microphone records audio, which the emotion engine analyzes. The server analyzes the received HTTP request, extracts the product identification information "A101," and searches the database. It confirms that there are 10 units of product A in stock, converts this information into JSON format, and sends it back to the terminal. The terminal displays the product ID "A101" and the inventory information "Product A - Stock quantity: 10" to the user, and the emotion engine makes suggestions such as "Proceed to purchase checkout for product A" based on the results of the user's emotion analysis.

[1709] Prompt Sentence Examples

[1710] Please enter the product identification information in the input field, for example, "A101". Then press the confirm button.

[1711] After pressing the confirm button, please wait while we retrieve product information. Additionally, please wait a moment while the camera and microphone analyze your face and voice.

[1712] The above describes a specific embodiment of the present invention. This system allows users to quickly and accurately obtain product inventory information and receive suggestions based on their emotions.

[1713] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1714] Step 1:

[1715] The user enters product identification information

[1716] Operation: The user enters product identification information such as "A101" into the input field on the terminal and presses the confirmation button.

[1717] Input: Product identification information (e.g. "A101")

[1718] Output: The entered product identification information is imported into the terminal system.

[1719] Step 2:

[1720] The device generates an HTTP request and sends it to the server.

[1721] Operation: The terminal generates an HTTP request using the acquired product identification information and sends it to the server. For example, it generates a request in the format "GET / products?itemID=A101 HTTP / 1.1".

[1722] Input: Product identification information (e.g. "A101")

[1723] Output: The generated HTTP request (e.g. "GET / products?itemID=A101 HTTP / 1.1") is sent to the server.

[1724] Step 3:

[1725] The device acquires the user's emotional data and analyzes it using an emotion engine.

[1726] How it works: The device's built-in camera and microphone capture the user's facial expressions and voice, which are then analyzed by the emotion engine.

[1727] Input: User's voice data and facial expression data

[1728] Output: Analyzed emotion data (e.g., "satisfied," "dissatisfied," etc.)

[1729] Step 4:

[1730] The server receives the HTTP request and extracts the product identification information

[1731] Operation: The server analyzes the HTTP request received from the terminal and extracts the product identification information "A101."

[1732] Input: HTTP request (e.g. "GET / products?itemID=A101 HTTP / 1.1")

[1733] Output: Product identification information extraction result (e.g. "A101")

[1734] Step 5:

[1735] The server searches the database to obtain product inventory information

[1736] Operation: The server searches the database and retrieves the corresponding product stock information. For example, it confirms that there are 10 units of product A in stock.

[1737] Input: Extracted product identification information (e.g. "A101")

[1738] Output: Product inventory information (e.g. "Product A", quantity in stock: 10")

[1739] Step 6:

[1740] The server converts the acquired information into JSON format and sends a response to the device.

[1741] Operation: The server converts the acquired product information into JSON format and sends it to the terminal as a response.

[1742] Input: Product inventory information (e.g. "Product A", quantity in stock: 10")

[1743] Output: Response data in JSON format (e.g., "{"itemID": "A101", "name": "Product A", "stock": 10}")

[1744] Step 7:

[1745] The terminal receives the response from the server, analyzes the product inventory information, and displays it.

[1746] Operation: The terminal analyzes the response received from the server and displays the information "Product ID: A101, Stock information: Product A - Stock quantity: 10" to the user.

[1747] Input: Response data from the server (e.g., "{"itemID": "A101", "name": "Product A", "stock": 10}")

[1748] Output: Product inventory information to be displayed (e.g. "Product ID: A101, Inventory information: Product A - Quantity in stock: 10")

[1749] Step 8:

[1750] The device makes appropriate suggestions to the user based on the analysis results of the emotion engine.

[1751] How it works: The device's emotion engine makes appropriate suggestions to the user based on the analysis results. For example, if a user is dissatisfied with a shortage of stock, it will suggest alternative products or recommend setting up notifications when new stock arrives.

[1752] Input: Analysis result of emotion engine (e.g. "dissatisfied")

[1753] Output: Proposal content (e.g. "If there is a shortage of stock, would you like to suggest substitute item B101?")

[1754] (Application example 2)

[1755] 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."

[1756] Conventional online shopping sites allow users to input product identification information to obtain inventory information, but lack the functionality to provide feedback and suggestions that take user emotions into account. As a result, the inconvenience and dissatisfaction experienced by users when faced with negative information such as inventory shortages are not fully resolved. Furthermore, the lack of action suggestions based on user emotions prevents an improvement in the user experience.

[1757] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1758] In this invention, the server includes: a terminal that acquires product identification information input by a user; a terminal that generates an HTTP request including the acquired product identification information and transmits it to the server; a server that extracts the product identification information from the received HTTP request and searches a database; a server that generates product inventory information based on the search results and responds to the terminal; a terminal that displays the product inventory information received from the server to the user; a terminal that analyzes the user's emotions using an emotion engine that recognizes the user's emotions; and a terminal that suggests a next action based on the user's emotions analyzed by the emotion engine. This improves the user experience and eliminates the inconvenience and dissatisfaction that users may experience when receiving negative information, such as inventory shortages.

[1759] A "terminal" is a device that provides an interface for a user to input product identification information.

[1760] "Product identification information" is information for uniquely identifying a specific product.

[1761] An "HTTP request" is a communication protocol for sending data such as product identification information to a server.

[1762] A "server" is a device that receives an HTTP request, analyzes the product identification information, searches a database, and returns the results to the terminal.

[1763] A "database" is a system that manages product identification information and corresponding product inventory information.

[1764] "Product inventory information" refers to information such as the number of items in stock for a particular product.

[1765] An "emotion engine" is software or hardware that analyzes the user's voice and facial expressions and recognizes their emotions.

[1766] "Analysis" is the process of analyzing acquired data to obtain meaningful information.

[1767] "Action suggestion" refers to suggesting the next action to be taken based on the user's emotions.

[1768] "Emotion data" is information about emotions obtained from the user's voice and facial expressions.

[1769] The present invention is a system that acquires product inventory information based on product identification information entered by a user from a terminal, displays that information, and combines it with an emotion engine that recognizes the user's emotions. This system is primarily composed of a terminal, a server, a database, and an emotion engine. Specific embodiments for implementing this system are described below.

[1770] Terminal

[1771] The terminal is equipped with an interface for the user to input product identification information. The user can enter the product identification information in the input field of the terminal and send the information by pressing a confirmation button. The terminal also has a built-in emotion engine that uses a camera and microphone to capture the user's facial expressions and voice and recognize their emotions.

[1772] server

[1773] The server is responsible for receiving HTTP requests sent from the terminal. The received request contains the product identification information entered by the user. The server analyzes the product identification information and searches the database to obtain the corresponding product inventory information.

[1774] Database

[1775] The database is a system for managing product identification information and corresponding product inventory information. It stores the number of items in stock corresponding to the product identification information and other related information. The server references this database to obtain the necessary inventory information.

[1776] Emotion Engine

[1777] An emotion engine is software or hardware for analyzing a user's emotions. It captures the user's facial expressions and voice data from a camera or microphone, analyzes them, and recognizes the user's emotions. For example, if a user expresses dissatisfaction with inventory information, it can suggest alternative products or set up notifications for inventory replenishment.

[1778] Specific examples

[1779] For example, suppose a user enters product identification information "A101" into the input field on their device and confirms it. In this case, the device generates an HTTP request and sends it to the server. The server processes the request, searches the database for product identification information "A101," and obtains stock information for product A. The obtained information is returned to the device in JSON format. The device analyzes this information and displays to the user, "There are 10 units of product A in stock." At the same time, the emotion engine analyzes the user's facial expression and, if the user is satisfied, suggests, for example, "Proceed to the purchase procedure for product A."

[1780] Prompt Sentence Examples

[1781] When a user enters "A101" as product identification information in the smartphone app and wants to check stock information, please implement a function that analyzes emotions and provides feedback based on the stock information.

[1782] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1783] Step 1:

[1784] The terminal acquires the product identification information input by the user.

[1785] Input: The user enters product identification information (e.g., "A101") into the device's input field.

[1786] Specific operation: The user enters product identification information in the input field and presses the confirmation button. The terminal acquires this product identification information and temporarily stores it.

[1787] Output: The retrieved product identification information.

[1788] Step 2:

[1789] The terminal generates an HTTP request including the acquired product identification information and transmits it to the server.

[1790] Input: The retrieved product identification information.

[1791] Specific operation: The terminal generates an HTTP request including product identification information and sends it to the server.

[1792] Output: Sending an HTTP request containing product identification information.

[1793] Step 3:

[1794] The server extracts the product identification information from the received HTTP request.

[1795] Input: The HTTP request sent from the device.

[1796] Specific operation: The server analyzes the received HTTP request and extracts the product identification information.

[1797] Output: Extracted product identification information.

[1798] Step 4:

[1799] The server searches the database and retrieves product inventory information.

[1800] Input: Extracted product identification information.

[1801] Specific operation: The server searches the database and obtains the corresponding product inventory information.

[1802] Output: Retrieved product inventory information.

[1803] Step 5:

[1804] The server converts the product inventory information into JSON format and responds to the terminal.

[1805] Input: Retrieved product inventory information.

[1806] Specific operation: The server converts product inventory information into JSON format and sends it to the terminal as a response.

[1807] Output: Product availability information sent in JSON format.

[1808] Step 6:

[1809] The terminal displays the product inventory information received from the server to the user.

[1810] Input: Product inventory information sent from the server in JSON format.

[1811] Specific operation: The terminal parses product inventory information in JSON format and displays it visually to the user.

[1812] Output: Product availability information displayed to the user.

[1813] Step 7:

[1814] The device uses a camera and microphone to acquire the user's emotional data and analyzes the emotions using an emotion engine.

[1815] Input: User's facial expressions and voice.

[1816] Specific operation: The device's camera and microphone capture the user's facial expressions and voice data, which is then analyzed by the emotion engine to recognize emotions.

[1817] Output: Parsed user emotion data.

[1818] Step 8:

[1819] The emotion engine analyzes the user's emotions and suggests the next action to take.

[1820] Input: Parsed user emotion data.

[1821] Specific operation: Based on the analysis results, the emotion engine will suggest alternative products or set up notifications for stock replenishment if the user is dissatisfied, for example.

[1822] Output: Specific suggestions and feedback to the user.

[1823] 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.

[1824] 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.

[1825] 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.

[1826] 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.

[1827] 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.

[1828] 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.

[1829] 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).

[1830] 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.

[1831] 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."

[1832] 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.

[1833] 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).

[1834] 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.

[1835] 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.

[1836] 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.

[1837] 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.

[1838] 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.

[1839] 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.

[1840] 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.

[1841] 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.

[1842] 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.

[1843] 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.

[1844] The following is further disclosed regarding the above embodiment.

[1845] (Claim 1)

[1846] A terminal acquires product identification information input by a user;

[1847] A means for the terminal to generate an HTTP request including the acquired product identification information and transmit the HTTP request to the server;

[1848] A means for the server to extract product identification information from the received HTTP request and search a database;

[1849] a means for the server to generate product inventory information based on the search results and respond to the terminal;

[1850] a means for displaying the product inventory information received from the server to the user in the terminal;

[1851] A system including:

[1852] (Claim 2)

[1853] 2. The system of claim 1, wherein the database includes inventory quantities of a plurality of products corresponding to product identification information.

[1854] (Claim 3)

[1855] 2. The system according to claim 1, wherein the terminal sends the HTTP request using a GET method.

[1856] The above is the draft of the claims regarding the characteristic parts of the system.

[1857] "Example 1"

[1858] (Claim 1)

[1859] A terminal acquires product identification information input by a user;

[1860] a means for generating an HTTP request including the acquired product identification information and transmitting the HTTP request to a server via a network;

[1861] A server extracts product identification information from the received HTTP request and searches a data storage device;

[1862] a means for the server to generate product inventory information in a structured data format based on the search results and respond to the terminal;

[1863] a means for displaying the product inventory information received from the server to the user in the terminal;

[1864] A system including:

[1865] (Claim 2)

[1866] 10. The system of claim 1, wherein the data storage device includes inventory counts for a plurality of items corresponding to item identification information.

[1867] (Claim 3)

[1868] 2. The system of claim 1, wherein the terminal sends an HTTP request using a get method.

[1869] "Application Example 1"

[1870] (Claim 1)

[1871] A terminal acquires product identification information input by a user;

[1872] A means for the terminal to generate an HTTP request including the acquired product identification information and transmit the HTTP request to the server;

[1873] A means for the server to extract product identification information from the received HTTP request and search a database;

[1874] a means for the server to generate product inventory information based on the search results and respond to the terminal;

[1875] a means for displaying the product inventory information received from the server to the user in the terminal;

[1876] a means for acquiring unique identification information using a voice input device or a code reader, and using the information to instantly display inventory information;

[1877] A system including:

[1878] (Claim 2)

[1879] 10. The system of claim 1, wherein the response including the product inventory information is visually displayed on a display device.

[1880] (Claim 3)

[1881] The system according to claim 1, wherein the database stores inventory numbers corresponding to a plurality of pieces of product identification information.

[1882] "Example 2: Combining Emotion Engines"

[1883] (Claim 1)

[1884] A terminal acquires product identification information input by a user;

[1885] A means for the terminal to generate an HTTP request including the acquired product identification information and transmit the HTTP request to the server;

[1886] A means for the server to extract product identification information from the received HTTP request and search a database;

[1887] a means for the server to generate product inventory information based on the search results and respond to the terminal;

[1888] means for the terminal to analyze the information received from the server and display it to the user;

[1889] A means for an emotion engine installed in the device to acquire and analyze the user's emotions;

[1890] A means for the emotion engine to make suggestions to the user based on the analysis results;

[1891] A system including:

[1892] (Claim 2)

[1893] 2. The system of claim 1, wherein the database includes inventory quantities of a plurality of products corresponding to product identification information.

[1894] (Claim 3)

[1895] 2. The system according to claim 1, wherein the terminal sends the HTTP request using a GET method.

[1896] "Application example 2 when combining emotion engines"

[1897] (Claim 1)

[1898] A terminal acquires product identification information input by a user;

[1899] A means for the terminal to generate an HTTP request including the acquired product identification information and transmit the HTTP request to the server;

[1900] A means for the server to extract product identification information from the received HTTP request and search a database;

[1901] a means for the server to generate product inventory information based on the search results and respond to the terminal;

[1902] a means for displaying the product inventory information received from the server to the user in the terminal;

[1903] a means for analyzing the user's emotions using an emotion engine that recognizes the user's emotions;

[1904] A means to suggest the next action based on the user's emotions analyzed by the emotion engine,

[1905] A system including:

[1906] (Claim 2)

[1907] 2. The system of claim 1, wherein the database includes inventory quantities of a plurality of products corresponding to product identification information.

[1908] (Claim 3)

[1909] 2. The system according to claim 1, wherein the terminal sends the HTTP request using a GET method.

[1910] (Claim 4)

[1911] 2. The system according to claim 1, wherein the terminal has a function of acquiring user emotion data using a camera or microphone, and the emotion engine has a function of analyzing the emotion data.

[1912] (Claim 5)

[1913] 10. The system of claim 1, further comprising means for suggesting an alternative product if the emotion engine detects user dissatisfaction. [Explanation of symbols]

[1914] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A terminal acquires product identification information input by a user; A means for the terminal to generate an HTTP request including the acquired product identification information and transmit the HTTP request to the server; A means for the server to extract product identification information from the received HTTP request and search a database; a means for the server to generate product inventory information based on the search results and respond to the terminal; a means for displaying the product inventory information received from the server to the user in the terminal; A system including:

2. 2. The system of claim 1, wherein the database includes inventory quantities of a plurality of products corresponding to product identification information.

3. 2. The system according to claim 1, wherein the terminal transmits the HTTP request using a GET method.

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