system

Abstract

We provide the system. [Solution] A means for receiving account information entered by the user, A means of saving the above account information to a database, A means for receiving ingredient information and allergen information entered by the user, A means for searching and displaying recipes based on the above ingredient and allergen information, A means of decoding the QR code information scanned by the user, A means for storing the food information and expiration date information contained in the above QR code information in a database, A system that includes means for periodically checking stored expiration date information and sending notifications to users when the expiration date is approaching.

Description

Technical Field

[0004] , ,

[0005] , , ,

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

[0006] "User" refers to an individual or legal entity that uses the system.

[0007] "Account information" refers to the identification information a user uses to register with the system, and typically includes an email address and password.

[0008] A "database" refers to an electronic system for systematically storing and managing information.

[0009] "Ingredient information" refers to data about a specific ingredient, including its name, quantity, and storage method.

[0010] "Allergen information" refers to data about specific allergens that users should avoid.

[0011] A "recipe" refers to a set of instructions that outlines the steps for preparing a specific dish, including ingredients, cooking methods, and cooking time.

[0012] A "QR code" refers to a two-dimensional barcode used to store and read information.

[0013] "Decoding" refers to the process of converting encoded data back into its original information.

[0014] "Expiration date information" refers to data indicating the date by which a particular food product can be consumed while maintaining its optimal quality.

[0015] "Notification" refers to a message for raising awareness or transmitting information sent by the system to the user.

[0016] "Personalize" refers to adjusting the services and information provided by the system according to the preferences and needs of the user.

Brief Description of Drawings

[0017] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of the data processing system in Embodiment 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Modes for Carrying Out the Invention

[0018] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

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

[0020] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), etc.

[0021] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0022] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disk (e.g., hard disk), or magnetic tape, etc.

[0023] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0025] [First Embodiment]

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

[0027] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0028] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0029] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0030] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

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

[0032] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0034] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0035] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0036] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0037] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0038] This invention is a system that supports recipe suggestions and ingredient management based on user preferences and allergen information. The system consists of a user terminal, a server, and a device with a QR code reader function. This system allows users to efficiently manage ingredients and easily find recipes tailored to their individual preferences.

[0039] User registration and authentication

[0040] Users create accounts using their devices. The user enters their email address and password on the device and clicks the "Register" button. The device sends this information to the server. The server hashes the received password and stores it in a database. This ensures the secure management of the user's account information. For authentication, the user enters their email address and password on the device, and the server verifies this information.

[0041] Recipe suggestions and personalization

[0042] The user enters ingredient and allergen information using a terminal. The terminal sends this information to a server. The server analyzes the provided information and searches its database for recipes that match the user's preferences. These recipes are sent to the terminal and displayed to the user. This allows users to easily find recipes that suit their preferences and dietary restrictions.

[0043] Specific example

[0044] The user enters "chicken" and "broccoli" as the main ingredients and provides "nut allergy" as allergen information. Based on this information, the server searches for recipes such as "garlic stir-fried chicken and broccoli" and displays them on the device as personalized recipes.

[0045] QR code integration and food ingredient management

[0046] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information obtained from the QR code in a database. The server periodically checks the database and sends a notification to the user if any food items are nearing their expiration date. This allows users to consume food properly and avoid waste.

[0047] Specific example

[0048] The user scans the QR code on the "milk" container. The device decodes the QR code and sends the information "Milk, Expiration Date October 10, 2023" to the server. The server stores this information in a database and sends a notification to the device saying "The expiration date of your milk is approaching" when the expiration date is nearing. The device displays this to the user, preventing unnecessary waste.

[0049] In this way, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience.

[0050] The following describes the processing flow.

[0051] User registration and authentication processing steps

[0052] Step 1:

[0053] The user enters their email address and password into the account creation form on their device.

[0054] Step 2:

[0055] The device sends the entered email address and password to the server.

[0056] Step 3:

[0057] The server hashes the password it receives.

[0058] Step 4:

[0059] The server stores hashed passwords and email addresses in a database.

[0060] Step 5:

[0061] The server sends a registration success response to the terminal.

[0062] Step 6:

[0063] The device displays the message "Your account has been created" to the user.

[0064] Recipe suggestion and personalization processing steps

[0065] Step 1:

[0066] The user enters ingredient information and allergen information on their device.

[0067] Step 2:

[0068] The terminal sends the entered food ingredient information and allergen information to the server.

[0069] Step 3:

[0070] The server analyzes the received information to determine the user's preferences and allergy restrictions.

[0071] Step 4:

[0072] The server searches the database for recipes that match the specified criteria.

[0073] Step 5:

[0074] The server sends the search results and recipes to the device.

[0075] Step 6:

[0076] The device displays the sent recipe to the user.

[0077] QR code integration and food ingredient management processing steps

[0078] Step 1:

[0079] The user scans the QR code on the purchased food item with their smartphone camera.

[0080] Step 2:

[0081] The device decodes the information in the QR code.

[0082] Step 3:

[0083] The terminal sends the decoded food information and expiration date information to the server.

[0084] Step 4:

[0085] The server saves the received food information and expiration date information to a database.

[0086] Step 5:

[0087] The server periodically checks the database to see if there are any ingredients nearing their expiration date.

[0088] Step 6:

[0089] The server sends a notification to the user if there are any ingredients nearing their expiration date.

[0090] Step 7:

[0091] The device displays an alert to the user saying, "AA's expiration date is approaching."

[0092] This allows users to efficiently manage ingredients and select recipes.

[0093] (Example 1)

[0094] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0095] Currently, systems exist on the market that offer recipe suggestions and ingredient management based on user preferences and allergen information. However, these systems are often complex for users and fail to provide sufficiently personalized suggestions. Furthermore, there are limited means of efficiently managing ingredients nearing their expiration date and reducing waste. In addition, recipe suggestions based on prompts generated by AI models are not being fully utilized. Therefore, there is a need for a system that allows users to efficiently and easily manage ingredients and obtain personalized recipes.

[0096] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0097] In this invention, the server includes means for receiving account information entered by the user, means for storing the account information in a database, means for receiving ingredient information and allergen information entered by the user, means for searching for and displaying recipes based on the ingredient information and allergen information, means for decoding QR code information read by the user, means for storing ingredient information and expiration date information contained in the QR code information in a database, means for periodically checking the stored expiration date information and sending a notification to the user when the expiration date is approaching, means for securely managing the user's account information and ingredient management information, means for displaying suggested recipes on the terminal according to the user's preferences, and means for making recipe suggestions based on prompt sentences using a generation AI model. As a result, the user can easily and efficiently manage ingredients and obtain personalized recipes.

[0098] A "user" is an individual who uses the system to input account information, ingredient information, and allergen information, and receives recipe suggestions and ingredient management notifications.

[0099] A "server" is a device or software that processes and stores various information received from users, and provides recipe suggestions and ingredient management notifications.

[0100] "Account information" refers to authentication information such as email addresses and passwords that users provide to use the system.

[0101] A "database" is a data storage system used to accumulate and manage account information, ingredient information, allergen information, and QR code information.

[0102] "Ingredient information" refers to data such as the type and quantity of ingredients that users input into the system.

[0103] "Allergen information" refers to data about foods that may cause allergies, which users input into the system.

[0104] A "recipe" is information that shows how to prepare a dish, suggested to the user.

[0105] "QR code information" refers to data about food ingredients obtained by scanning a QR code.

[0106] "Expiration date information" refers to data regarding the expiration date of food products.

[0107] A "generative AI model" is an artificial intelligence model that suggests recipes based on the input prompt text.

[0108] A "prompt message" is text data that represents a user's request or question, which is input into a generative AI model.

[0109]

[0110] This invention is a system that supports recipe suggestions and ingredient management based on user preferences and allergen information. The system consists of a user terminal, a server, and a device with a QR code reader function.

[0111] User registration and authentication

[0112] Users create accounts using their devices. They enter their email address and password on the device and click the "Register" button. The device sends this information to the server. The server hashes the received password and stores the hashed password and email address in a database. This ensures that the user's account information is managed securely. During authentication, the server also verifies and matches the email address and password entered by the user.

[0113] Recipe suggestions and personalization

[0114] The user uses a terminal to input information about ingredients and allergens. For example, the user might input "chicken" and "broccoli" as the main ingredients and provide "nut allergy" as allergen information. The terminal sends the information entered by the user to the server. The server analyzes the provided information and searches the database for recipes that match the user's preferences. This uses a generative AI model. The server sends the suitable recipe to the terminal, which then displays it to the user.

[0115] As a concrete example, a generative AI model can be used based on the following prompt:

[0116] "I currently have chicken and broccoli. I have a nut allergy. Could you please provide some recipes that use these ingredients?"

[0117] QR code integration and food ingredient management

[0118] The user scans the QR code on the purchased food item with their smartphone camera. For example, suppose the user scans the QR code for "milk." The device decodes the information from the QR code and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in its database.

[0119] The server periodically checks the database and sends notifications to users if any food items are nearing their expiration date. For example, when an expiration date is approaching, a notification such as "The expiration date of your milk is approaching" is sent to the device, which then displays this to the user. This allows users to consume food properly and avoid waste.

[0120] As described above, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience.

[0121] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0122] Step 1: Register an account

[0123] 1. User:

[0124] The user opens the "New Registration" screen on their device, enters their email address and password, and clicks the "Register" button.

[0125] Input: Email address (e.g., example@example.com) and password (e.g., password123)

[0126] 2. Terminal:

[0127] The terminal receives the entered email address and password and sends that data to the server.

[0128] Output: Email address and password to send to the server

[0129] 3. Server:

[0130] The server hashes the received password and stores the hashed password and email address in the database.

[0131] Hashing is performed to enhance security.

[0132] Input: Email address and password received from the device.

[0133] Output: Hashed passwords and email addresses are saved to the database.

[0134] Step 2: User Authentication

[0135] 1. User:

[0136] The user enters their email address and password on the login screen and clicks the "Login" button.

[0137] Input: Login email address and password

[0138] 2. Terminal:

[0139] The terminal receives the entered email address and password and sends that data to the server.

[0140] Output: Login email address and password to be sent to the server

[0141] 3. Server:

[0142] The server retrieves the corresponding hashed password from the database and compares it to the entered password.

[0143] If the matching is successful, an authentication success message is sent to the device; otherwise, an authentication failure message is sent.

[0144] Input: Login email address and password received from your device

[0145] Output: Send authentication result to the terminal

[0146] Step 3: Enter ingredient information and allergen information.

[0147] 1. User:

[0148] The user enters ingredient information and allergen information on their device.

[0149] Input: Food information (e.g., chicken, broccoli) and allergen information (e.g., nut allergy)

[0150] 2. Terminal:

[0151] The terminal receives the entered food ingredient information and allergen information and sends that data to the server.

[0152] Output: Food ingredient information and allergen information to be sent to the server

[0153] Step 4: Recipe suggestion

[0154] 1. Server:

[0155] The server searches its database based on the received ingredient and allergen information and retrieves a suitable recipe.

[0156] If necessary, a generative AI model will be used to suggest recipes based on the prompt text.

[0157] Input: Food ingredient information and allergen information received from the device.

[0158] Output: Search results or recipes generated from the AI ​​model

[0159] 2. Server:

[0160] The server sends a suitable recipe to the terminal.

[0161] Input: Suitable recipe

[0162] Output: Recipe to send to the terminal

[0163] 3. Terminal:

[0164] The device displays the received recipe to the user.

[0165] Input: Recipe received from the server

[0166] Output: Displayed recipe

[0167] Step 5: Scan the QR code information

[0168] 1. User:

[0169] The user scans the QR code on the purchased groceries with their smartphone camera.

[0170] Input: QR code information (Example: Milk, Expiration Date: October 10, 2023)

[0171] 2. Terminal:

[0172] The device decodes the information in the QR code and sends that data to the server.

[0173] Output: QR code information to send to the server

[0174] Step 6: Managing ingredient information and expiration dates

[0175] 1. Server:

[0176] The server saves the received QR code information to its database.

[0177] Input: QR code information received from the device

[0178] Output: Food ingredient information and expiration date information stored in the database

[0179] 2. Server:

[0180] The server periodically checks the database to see if there are any ingredients nearing their expiration date.

[0181] Input: Food ingredient information and expiration date information from the database

[0182] Output: List of food items nearing their expiration date

[0183] 3. Server:

[0184] When the expiration date approaches, the server sends a notification to the user.

[0185] Input: Information about food items nearing their expiration date.

[0186] Output: Send notification message to the device

[0187] 4. Device:

[0188] The device displays the received notification to the user.

[0189] Input: Notification message received from the server

[0190] Output: Notification message displayed to the user

[0191] (Application Example 1)

[0192] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0193] In modern eating habits, users need to efficiently manage their ingredients and easily find recipes that suit their individual preferences. Reducing food waste, especially while considering allergen information and expiration dates, is particularly important. However, existing systems struggle to meet these requirements. Furthermore, there are no systems that integrate with food delivery services for managing expiration dates and reordering.

[0194] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0195] In this invention, the server includes means for receiving account information entered by the user, means for receiving ingredient information and allergen information entered by the user, and means for decoding QR code information read by the user. This makes it possible to generate personalized recipes based on the user's past order history and allergen information, and to provide the option to reorder ingredients when their expiration date is approaching.

[0196] "Account information" refers to personal and authentication information that a user provides to register with the system, and typically includes an email address and password.

[0197] "Food ingredient information" refers to detailed information about food ingredients that the user owns or purchases, including name, quantity, and expiration date.

[0198] "Allergen information" refers to information about allergens that users should avoid consuming, and specifically includes allergen lists such as nuts, dairy products, and eggs.

[0199] "QR code information" refers to data in a two-dimensional barcode that encodes information about food ingredients, including the name of the ingredient and its expiration date.

[0200] A "generative AI model" is a model that uses artificial intelligence to generate useful information from data, and in this invention, it is mainly used for recipe suggestions.

[0201] A "prompt" is text data input to a generative AI model, containing instructions for the model to generate a specific output.

[0202] A "database" refers to an information system used to systematically store large amounts of data and to efficiently access and manage it.

[0203] "Stored expiration date information" refers to information about the expiration dates of food ingredients stored in a database, and is used to manage the expiration dates of food ingredients.

[0204] The "reorder option" refers to a feature that provides users with the option to automatically reorder food items that are nearing their expiration date.

[0205] A "personalized recipe" is a recipe customized based on the user's preferences and allergen information, aiming to suggest the most suitable dishes for each individual.

[0206] This invention is a system that supports recipe suggestions and ingredient management based on user preferences and allergen information. The system consists of a user terminal, a server, and a device with a QR code reader function. This system allows users to efficiently manage ingredients and easily find recipes tailored to their individual preferences.

[0207] User registration and authentication

[0208] Users create accounts using their devices. They enter their email address and password on their devices and click the "Register" button. The device sends this information to the server. The server hashes the received password and stores it in a database. This ensures the secure management of the user's account information. For authentication, the user enters their email address and password on their device, and the server verifies this information.

[0209] Recipe suggestions and personalization

[0210] The user enters ingredient and allergen information using a terminal. The terminal sends this information to a server. The server analyzes the provided information and uses a generative AI model to search its database for recipes that match the user's preferences. These recipes are sent to the terminal and displayed to the user. This allows users to easily find recipes that suit their preferences and restrictions.

[0211] Specific example

[0212] The user inputs "chicken" and "broccoli" as the main ingredients and provides "nut allergy" as allergen information. Based on this information, the server uses a generation AI model to display personalized recipes on the device, such as "Garlic Stir-fried Chicken and Broccoli." The generation AI model used in this process is prompted with the following text:

[0213] Based on the user's ingredients "chicken" and "broccoli," and allergen "nuts," generate an allergen-free recipe.

[0214] QR code integration and food ingredient management

[0215] Users scan the QR code on purchased groceries with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the grocery information and expiration date information obtained from the QR code in a database. The server periodically checks the database and notifies the user if any groceries are nearing their expiration date. Furthermore, it offers the option to automatically reorder groceries if the user requests it.

[0216] Specific example

[0217] The user scans the QR code on the "milk" package. The device decodes the QR code and sends the information "Milk, Expiration Date October 10, 2023" to the server. The server stores this information in a database and sends a notification to the device when the expiration date approaches, such as "Your milk is nearing its expiration date. Would you like to order more?" The user receives the notification and can choose the reorder option to prevent unnecessary waste.

[0218] In this way, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience. The hardware used is a smartphone (iOS or Android®), and the software includes Firebase Authentication, a QR code reader library (e.g., Zxing), AWS® Lambda, DynamoDB, and a generative AI model (e.g., OpenAI® GPT-4®).

[0219] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0220] Step 1:

[0221] The user creates an account using their device. The user enters their email address and password and clicks the "Register" button. The device sends this information to the server. The server hashes the received password and stores it in a database. The input for this step is the user's "email address" and "password," and the output is the database entry where the hashed password is stored.

[0222] Step 2:

[0223] The user logs in using a device. The user enters their email address and password, which the device sends to the server. The server compares the received password with a hashed password stored in the database and authenticates if they match. The input for this step is the user's "email address" and "password," and the output is a message indicating authentication success or failure.

[0224] Step 3:

[0225] The user enters ingredient and allergen information using a terminal. The terminal sends this information to the server. The server stores the user's input information in a database and searches for recipes based on the provided ingredient and allergen information. The input for this step is "ingredient information" and "allergen information," and the output is the information stored in the database and prompts for the generating AI model.

[0226] Step 4:

[0227] The server uses a generative AI model to search the database for recipes that match the user's preferences. It sends prompts to the generative AI model, which then generates recipes based on the user's input. These prompts might take the following form:

[0228] Based on the user's ingredients "chicken" and "broccoli," and allergen "nuts," generate an allergen-free recipe.

[0229] The input for this step is a prompt based on ingredient and allergen information, and the output is the generated recipe.

[0230] Step 5:

[0231] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information obtained from the QR code in a database. The input for this step is "QR code information," and the output is "food item information" and "expiration date information" stored in the database.

[0232] Step 6:

[0233] The server periodically checks the stored expiration date information. If any food items are nearing their expiration date, the server sends a notification to the user to ensure they are consumed properly to prevent waste. The input for this step is "expiration date information," and the output is a "notification message" informing the user that the expiration date is approaching.

[0234] Step 7:

[0235] When the expiration date approaches, the server offers the user the option to reorder the ingredients. The notification message includes the reorder option, and if the user selects to reorder, the terminal sends new order information to the server. The input for this step is "Reorder Selection," and the output is the new "Order Information."

[0236] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0237] This invention is a system that manages user account information, suggests appropriate recipes based on ingredient and allergen information, and manages ingredients using QR codes. By combining this system with an emotion engine that recognizes user emotions, it enables personalized recipe suggestions based on the user's feelings.

[0238] User registration and authentication

[0239] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The device sends this information to the server, which hashes the received password and stores it in a database. This ensures that the user's account information is securely managed. Similarly, the user enters their email address and password on their device and goes through an authentication process.

[0240] Recipe suggestions and personalization

[0241] The user enters ingredient and allergen information on a terminal. The terminal sends this information to a server, which analyzes the provided information. The server searches the database for recipes that match the user's preferences and restrictions, and sends the results to the terminal. The displayed recipes are tailored to the user's individual needs.

[0242] Embedding an emotion engine

[0243] This system includes an emotion engine that recognizes the user's emotions. When the user expresses their emotions to the terminal through a voice input device or camera, the emotion engine analyzes this data. The server receives the analysis results and changes the display order and content of recipes according to the user's emotions. For example, if the user is tired, the system will prioritize displaying recipes that are easy and quick to prepare.

[0244] Specific example

[0245] The user inputs ingredients such as "chicken" and "broccoli" and provides "nut allergy" as allergen information. Based on this information, the server searches for recipes such as "garlic stir-fried chicken and broccoli" and prioritizes them according to the user's mood. For example, if the user indicates a happy mood, the server might suggest a recipe like "roasted chicken and broccoli, perfect for a special occasion."

[0246] QR code integration and food ingredient management

[0247] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information in a database. The server periodically checks the database and sends a notification to the user if any food items are nearing their expiration date.

[0248] Specific example

[0249] When a user scans the QR code for "milk," the device decodes it and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in a database and generates a notification when the expiration date approaches, sending it to the device. This notification, which displays to the user "Your milk is about to expire," helps to prevent food waste.

[0250] Thus, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience, and the combination of emotion engines can provide an even more advanced user experience.

[0251] The following describes the processing flow.

[0252] User registration and authentication processing steps

[0253] Step 1:

[0254] The user enters their email address and password into the account creation form on their device.

[0255] Step 2:

[0256] The device sends the entered email address and password to the server.

[0257] Step 3:

[0258] The server hashes the password it receives.

[0259] Step 4:

[0260] The server stores hashed passwords and email addresses in a database.

[0261] Step 5:

[0262] The server sends a registration success response to the terminal.

[0263] Step 6:

[0264] The device displays the message "Your account has been created" to the user.

[0265] Recipe suggestion and personalization processing steps

[0266] Step 1:

[0267] The user enters ingredient information and allergen information on their device.

[0268] Step 2:

[0269] The terminal sends the entered food ingredient information and allergen information to the server.

[0270] Step 3:

[0271] The server analyzes the received information to determine the user's preferences and allergy restrictions.

[0272] Step 4:

[0273] The server searches the database for recipes that meet the conditions.

[0274] Step :

[0275] The server sends the recipes in the search results to the terminal.

[0276] Step 6:

[0277] The terminal displays the sent recipes to the user.

[0278] Processing steps with the integration of the emotion engine

[0279] Step 1:

[0280] The user shows emotions through the terminal's microphone and camera.

[0281] Step 2:

[0282] The terminal records the voice input and facial expressions and sends them to the emotion engine.

[0283] Step 3:

[0284] The emotion engine analyzes the user's emotions.

[0285] Step 4:

[0286] [[ID=X]] The emotion engine sends the analysis results to the server.

[0287] <000E908>Step 5: <000091E> The server adjusts the recipe search conditions based on the emotion analysis results, ingredient information, and allergen information.

[0289] Step 6:

[0290] The server generates personalized recipes based on the user's emotions and sends them to the device.

[0291] Step 7:

[0292] The device displays recipes tailored to the user's emotions.

[0293] QR code integration and food ingredient management processing steps

[0294] Step 1:

[0295] The user scans the QR code on the purchased food item with their smartphone camera.

[0296] Step 2:

[0297] The device decodes the information in the QR code.

[0298] Step 3:

[0299] The terminal sends the decoded food information and expiration date information to the server.

[0300] Step 4:

[0301] The server saves the received food information and expiration date information to a database.

[0302] Step 5:

[0303] The server periodically checks the database to see if there are any ingredients nearing their expiration date.

[0304] Step 6:

[0305] The server sends a notification to the user if there are any ingredients nearing their expiration date.

[0306] Step 7:

[0307] The terminal displays an alert to the user saying that "the expiration date of AA is approaching".

[0308] This enables the user to efficiently perform personalized cooking experiences and ingredient management.

[0309] (Example 2)

[0310] Next, Example 2 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart device 14 is referred to as a "terminal".

[0311] In a conventional recipe proposal system, although recipes can be provided based on the user's ingredient information and allergy information, it cannot fully meet the user's emotions and individual needs. Also, in ingredient management, there is a lack of a function to appropriately notify ingredients with approaching expiration dates and consume them without waste.

[0312] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following respective means.

[0313] In this invention, the server includes means for receiving account information input by the user, means for storing the account information in a database, means for receiving ingredient information and allergy information input by the user, means for searching and displaying a recipe based on the ingredient information and allergy information, means for decoding the code information read by the user, means for storing the ingredient information and expiration date information included in the code information in the database, means for periodically checking the stored expiration date information and sending a notification to the user when the expiration date is approaching, means for recognizing the user's emotion, and means for changing the display order and content of the recipe based on the emotion. This enables personalized recipe proposals based on the user's emotions and individual needs, and also enables efficient management to reduce waste of ingredients.

[0314] "Account information" refers to information such as email addresses and passwords used for user authentication and personal settings.

[0315] A "database" is an information management system for efficiently managing, searching, and updating large amounts of information.

[0316] "Ingredient information" refers to detailed information about the ingredients that the user plans to use.

[0317] "Allergen information" refers to information about specific substances that a user is allergic to.

[0318] A "recipe" is information about cooking methods that specifically details how to use ingredients and the steps involved.

[0319] "Code information" refers to machine-readable information such as QR codes and barcodes.

[0320] "Expiration date information" refers to information regarding the expiration date or best-before date of food ingredients or products.

[0321] "Emotions" refer to data that indicates the user's psychological state or mood.

[0322] An "emotion engine" is a system that analyzes a user's emotions from their visual and auditory data.

[0323] "Notifications" are a means of informing users of important information or messages.

[0324] A "server" is a computer system that processes data in response to user requests via a network.

[0325] A "terminal" is a device that a user directly operates, used for data input and display of results.

[0326] This invention is a system that manages user account information, suggests appropriate recipes based on ingredient and allergen information, and manages ingredients using QR codes. This system includes a function that enables personalized recipe suggestions based on the user's emotions by incorporating an emotion engine that recognizes the user's emotions.

[0327] User registration and authentication

[0328] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The device sends this information to the server, which hashes the received password and stores it in a database. This ensures that the user's account information is securely managed. Similarly, the user enters their email address and password on their device and goes through an authentication process.

[0329] Recipe suggestions and personalization

[0330] The user enters ingredient and allergen information on a terminal. The terminal sends this information to a server, which analyzes the provided information. The server searches the database for recipes that match the user's preferences and restrictions, and sends the results to the terminal. The displayed recipes are tailored to the user's individual needs.

[0331] Embedding an emotion engine

[0332] This system includes an emotion engine that recognizes the user's emotions. When the user expresses their emotions to the terminal through a voice input device or camera, the emotion engine analyzes this data. The server receives the analysis results and changes the display order and content of recipes according to the user's emotions. For example, if the user is tired, the system will prioritize displaying recipes that are easy and quick to prepare.

[0333] For example, a user might input "chicken" and "broccoli" as ingredients and provide "nut allergy" as allergen information. If the user indicates they are feeling tired, the server will use this information to suggest a simple recipe, such as "Easy Chicken and Broccoli Stir-fry." Conversely, if the user indicates they are feeling happy, the server will suggest a recipe like "Roasted Chicken and Broccoli, Perfect for a Special Occasion."

[0334] QR code integration and food ingredient management

[0335] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information in a database. The server periodically checks the database and sends a notification to the user if any food items are nearing their expiration date.

[0336] As a concrete example, when a user scans a QR code for "milk," the device decodes it and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in a database and generates a notification when the expiration date approaches, sending it to the device. This notification displays to the user, "The expiration date of your milk is approaching," allowing them to consume food without waste.

[0337] Examples of input prompts for a generative AI model

[0338] "Please suggest a simple chicken and broccoli recipe for users with nut allergies. Users are tired, so they would prefer a recipe with a short cooking time."

[0339] "Please suggest a special day recipe for a user who is expressing joy. The ingredients are chicken and broccoli."

[0340] As described above, this system provides users with an efficient and satisfying cooking experience by offering personalized recipe suggestions based on their emotions and providing an ingredient management function using QR codes.

[0341] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0342] System program processing flow

[0343] User registration and authentication

[0344] Step 1:

[0345] The user enters their email address and password into the account creation form on their device and clicks the "Register" button.

[0346] Specific action: The user enters "email@example.com" and "password123" into the form.

[0347] Step 2:

[0348] The terminal sends the entered information to the server.

[0349] Enter: Email address and password

[0350] Output: Sending a request to the server

[0351] Specific action: When the form's submit button is clicked, the device sends "email@example.com" and "password123" to the server.

[0352] Step 3:

[0353] The server hashes the received password and stores it in the database along with the email address.

[0354] Input: Email address and hashed password

[0355] Output: Database save complete status

[0356] Specific operation: The server converts "password123" into a "hash value" and saves it in the database along with "email@example.com".

[0357] Step 4:

[0358] The server sends a message to the device indicating that account creation is complete.

[0359] Input: Database save complete status

[0360] Output: Sending a message to the terminal

[0361] Specific action: The server sends a "Registration complete" message to the terminal.

[0362] Step 5:

[0363] The user checks the confirmation message on their device.

[0364] Specific action: The user confirms the "Registration Complete" message on their device screen.

[0365] Step 6:

[0366] The user enters their email address and password on the device's login screen.

[0367] Specific action: The user enters "email@example.com" and "password123" into the login form.

[0368] Step 7:

[0369] The terminal sends the entered information to the server.

[0370] Enter: Email address and password

[0371] Output: Sending a request to the server

[0372] Specific action: The user clicks the "Login" button, and the device sends "email@example.com" and "password123" to the server.

[0373] Step 8:

[0374] The server compares the password against the hashed password in the database.

[0375] Input: Email address and hashed password

[0376] Output: Matching result

[0377] Specific operation: The server compares the hashed password of "email@example.com" in the database with the hashed value of the entered password.

[0378] Step 9:

[0379] If the matching results are successful, the server returns an authentication success message to the terminal.

[0380] Input: Matching result

[0381] Output: Authentication success message

[0382] Specific action: The server sends a "Authentication successful" message to the terminal.

[0383] Step 10:

[0384] The user checks the screen after logging in on their device.

[0385] Specific action: The user checks the screen on their device after logging in.

[0386] Recipe suggestions and personalization

[0387] Step 1:

[0388] The user enters information about ingredients and allergens on their device.

[0389] Specific action: The user enters "chicken" and "broccoli" into the form, and "nut allergy" as allergen information.

[0390] Step 2:

[0391] The device sends this information to the server.

[0392] Input: Food ingredient information and allergen information

[0393] Output: Sending a request to the server

[0394] Specific action: The device sends "chicken," "broccoli," and "nut allergy" information to the server.

[0395] Step 3:

[0396] The server analyzes the received information and searches for recipes based on the user's preferences and constraints.

[0397] Input: Food ingredient information and allergen information

[0398] Output: Recipe list

[0399] Specific operation: The server searches the database for recipes that match the criteria "chicken," "broccoli," and "nut allergy."

[0400] Step 4:

[0401] The server sends the generated recipe list to the terminal.

[0402] Input: Recipe list

[0403] Output: Sending a request to the terminal

[0404] Specific operation: The server sends a list of recipes, such as "Garlic Stir-fried Chicken and Broccoli," to the terminal.

[0405] Step 5:

[0406] The user checks the suggested recipes on their device.

[0407] Specific action: The user checks the list of suggested recipes on their device.

[0408] Embedding an emotion engine

[0409] Step 1:

[0410] Users express their emotions to the device through voice input devices and cameras.

[0411] Specific action: The user smiles through the camera.

[0412] Step 2:

[0413] The device sends emotional data to the emotion engine, which then begins analysis.

[0414] Input: Sentiment data

[0415] Output: Analysis results

[0416] Specific operation: The device sends emotion data to the emotion engine, which then analyzes it.

[0417] Step 3:

[0418] The emotion engine sends the analysis results to the server.

[0419] Input: Analysis results

[0420] Output: Sending a request to the server

[0421] Specific operation: The emotion engine sends the "joy" result to the server.

[0422] Step 4:

[0423] The server re-evaluates the recipe list based on the analysis results and changes the display order and content.

[0424] Input: Analysis results

[0425] Output: Updated recipe list

[0426] Specific action: Based on the user's "joy" level, the server prioritizes displaying the special day recipe "Roasted Chicken and Broccoli".

[0427] Step 5:

[0428] The server sends the updated recipe list to the terminal.

[0429] Input: Updated recipe list

[0430] Output: Sending a request to the terminal

[0431] Specific action: The server sends the updated recipe list to the terminal.

[0432] Step 6:

[0433] The user checks the updated recipe list on their device.

[0434] Specific action: The user checks the updated recipe list on their device.

[0435] QR code integration and food ingredient management

[0436] Step 1:

[0437] Users use their smartphone cameras to scan the QR codes on the groceries they purchased.

[0438] Specific action: The user scans the QR code for "milk" with their camera.

[0439] Step 2:

[0440] The device decodes the information in the QR code.

[0441] Input: QR code information

[0442] Output: Decoded ingredient information

[0443] Specific action: The device decodes the information "Milk, Best before date October 10, 2023".

[0444] Step 3:

[0445] The terminal decodes the food information and expiration date information and sends it to the server.

[0446] Input: Decoded food information and expiration date information

[0447] Output: Sending a request to the server

[0448] Specific action: The device sends the information "Milk, Expiration Date October 10, 2023" to the server.

[0449] Step 4:

[0450] The server saves the received information to the database.

[0451] Input: Ingredient information and expiration date information

[0452] Output: Database save complete status

[0453] Specific action: The server saves the information "Milk, Best before date October 10, 2023" to the database.

[0454] Step 5:

[0455] The server periodically checks the database to find ingredients that are nearing their expiration date.

[0456] Input: Database information

[0457] Output: List of ingredients nearing their expiration date

[0458] Specific operation: The server periodically scans the database to find ingredients that are nearing their expiration date.

[0459] Step 6:

[0460] The server generates a notification about the relevant ingredient and sends it to the device.

[0461] Input: List of ingredients nearing their expiration date

[0462] Output: Notification message

[0463] Specific action: The server generates a notification such as "The expiration date of the milk is approaching."

[0464] Step 7:

[0465] Users check notifications on their devices and understand the expiration date.

[0466] Specific action: The user checks the notification on their device and understands the expiration date.

[0467] Examples of input prompts for a generative AI model

[0468] "Please suggest a simple chicken and broccoli recipe for users with nut allergies. Users are tired, so they would prefer a recipe with a short cooking time."

[0469] "Please suggest a special day recipe for a user who is expressing joy. The ingredients are chicken and broccoli."

[0470] (Application Example 2)

[0471] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0472] Traditional ingredient management and recipe suggestion systems lack sufficient personalization features based on user emotions and preferences, making it difficult for users to easily find the optimal recipe. Furthermore, the lack of notification functions for ingredients nearing their expiration date can lead to food waste. There is a need for a system that solves these problems and provides a more user-friendly and personalized cooking experience.

[0473] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for recognizing the user's emotions and displaying personalized recipes based on those emotions, means for receiving account information entered by the user, means for storing the account information in a database, and means for decoding QR code information read by the user. This not only enables the suggestion of appropriate recipes according to the user's emotions and preferences, but also provides a notification function based on expiration dates, thereby reducing food waste.

[0474] A "user" is an individual or legal entity that uses the system.

[0475] "Account information" refers to information used to identify a user and access the system. Specifically, this includes things like email addresses and passwords.

[0476] "Ingredient information" refers to information about the types and quantities of ingredients used by the user.

[0477] "Allergen information" refers to information about allergens that users should avoid.

[0478] A "recipe" is a document that lists the steps and ingredients needed to prepare a specific dish.

[0479] "QR code information" refers to all information encoded in a QR code. Specifically, this includes things like the name of the food item and its expiration date.

[0480] "Expiration date information" refers to information regarding the expiration date of food products.

[0481] An "emotion engine" refers to software or hardware used to analyze and recognize a user's emotions.

[0482] "Personalization" means optimizing content to suit each user's individual preferences and circumstances.

[0483] A "notification" is a message used to convey important information to a user. For example, it could be a warning message about food that is nearing its expiration date.

[0484] "Personalizing recipes" means adjusting the content and display order of recipes based on the user's emotions, ingredient information, and allergen information.

[0485] This invention is a system that manages user account information, suggests appropriate recipes based on ingredient and allergen information, and manages ingredients using QR codes. By combining this system with an emotion engine that recognizes user emotions, it enables personalized recipe suggestions based on the user's feelings.

[0486] Hardware and software configuration

[0487] Hardware:

[0488] Smartphone or tablet: Equipped with a camera used for QR code scanning and emotion recognition.

[0489] Server: Performs data processing and storage. The hardware configuration typically uses standard server equipment.

[0490] software:

[0491] Operating system: Mobile operating systems such as Android and iOS.

[0492] QR code scanner: Uses libraries such as OpenCV.

[0493] Emotion recognition engine: EmotionRecognizer (virtual library).

[0494] Databases: MySQL (registered trademark), NoSQL, etc.

[0495] hashing library: hashlib (Python).

[0496] System Operation Description

[0497] User registration and authentication:

[0498] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The device sends this information to the server, which hashes the received password using hashlib and stores the account information in a database. When the user logs in again, they enter their email address and password again, and the authentication process is performed.

[0499] Recipe suggestions and personalization:

[0500] The user enters ingredient and allergen information on their device. The device sends this information to a server, which analyzes the provided data. The server searches the database for appropriate recipes based on the user's ingredient and allergen information and sends the results to the device. During this process, EmotionRecognizer analyzes the user's emotions, and recipes are prioritized based on those emotions.

[0501] Integrating an emotion engine:

[0502] When a user expresses an emotion to the device through a voice input device or camera, the emotion engine analyzes this data. The server receives the analysis results and changes the display order and content of recipes according to the user's emotion. For example, if a user inputs "chicken" and "broccoli" as ingredients and provides "nut allergy" as allergen information, the server will search for recipes such as "garlic stir-fried chicken and broccoli" based on this information, and if the user's emotion is "joy," it will suggest a recipe such as "roasted chicken and broccoli, perfect for a special occasion."

[0503] QR code integration and ingredient management:

[0504] The user scans the QR code of the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information in a database. The stored expiration date information is checked periodically, and if any food items are nearing their expiration date, a notification is sent to the user. For example, if a user scans the QR code for "milk," the device decodes it and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in the database and generates a notification when the expiration date is approaching, displaying "The expiration date of your milk is approaching" on the device.

[0505] Examples of prompt statements

[0506] Use the following prompts for the generative AI model:

[0507] "Please provide a concrete implementation example of a food delivery app that includes user registration, QR code scanning, and emotion recognition. Implement a function that retrieves ingredient information from the QR code and suggests recipes based on emotion recognition."

[0508] This enables the suggestion of optimal recipes tailored to the user's emotions and preferences, and also facilitates smooth food management based on expiration dates.

[0509] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0510] Step 1:

[0511] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The entered account information (email address and password) is sent from the device to the server.

[0512] The server receives this information, hashes the password using the hashlib library, and stores the user's account information in the database. This enables secure user account management.

[0513] Input: User's entered email address and password

[0514] Data processing: Password hashing

[0515] Output: Account information stored in the database

[0516] Step 2:

[0517] The user enters ingredient and allergen information on their device. This information is then sent from the device to the server.

[0518] The server analyzes ingredient and allergen information and searches the database for relevant recipes. The search results are then sent to the terminal, displaying the most suitable recipe to the user.

[0519] Input: User-entered food ingredient information and allergen information

[0520] Data processing: Analysis of input information, recipe search.

[0521] Output: Recipe suggestions displayed on the terminal

[0522] Step 3:

[0523] The user scans the QR code on the purchased groceries using their smartphone camera. The device decodes the QR code information and sends it to the server.

[0524] The server stores ingredient information and expiration date information obtained from QR codes in a database. This allows for efficient expiration date management.

[0525] Input: QR code information

[0526] Data processing: Decoding QR code information

[0527] Output: Food ingredient and expiration date information stored in the database

[0528] Step 4:

[0529] The server periodically checks the database to see if any food items are nearing their expiration date. If so, it generates a notification and sends it to the device.

[0530] The device displays a notification stating, "AA's expiration date is approaching." This allows users to manage their food ingredients efficiently.

[0531] Input: Database expiration date information

[0532] Data processing: Expiration date check, notification generation.

[0533] Output: Notification sent to the device

[0534] Step 5:

[0535] Users express their emotions through their smartphone's camera or voice input device. The device collects emotion data and analyzes it using the EmotionRecognizer library. Then, it sends the emotion data to a server.

[0536] The server receives emotional data and adjusts the priority and content of recipes accordingly. If the emotional state is "tired," it suggests simple recipes; if the emotional state is "joyful," it suggests recipes for special occasions.

[0537] Input: User sentiment data (voice and images)

[0538] Data processing: Emotion analysis, recipe resetting

[0539] Output: Personalized recipes displayed on the device

[0540] Through each of the steps described above, it becomes possible to suggest optimal recipes tailored to the user's emotions and preferences, and to efficiently manage expiration dates. This system allows users to enjoy a more personalized and efficient cooking experience.

[0541] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0542] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0543] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0544] [Second Embodiment]

[0545] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0546] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0547] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0548] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0549] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0550] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0551] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0552] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0553] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0554] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0555] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0556] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0557] This invention is a system that supports recipe suggestions and ingredient management based on user preferences and allergen information. The system consists of a user terminal, a server, and a device with a QR code reader function. This system allows users to efficiently manage ingredients and easily find recipes tailored to their individual preferences.

[0558] User registration and authentication

[0559] Users create accounts using their devices. The user enters their email address and password on the device and clicks the "Register" button. The device sends this information to the server. The server hashes the received password and stores it in a database. This ensures the secure management of the user's account information. For authentication, the user enters their email address and password on the device, and the server verifies this information.

[0560] Recipe suggestions and personalization

[0561] The user enters ingredient and allergen information using a terminal. The terminal sends this information to a server. The server analyzes the provided information and searches its database for recipes that match the user's preferences. These recipes are sent to the terminal and displayed to the user. This allows users to easily find recipes that suit their preferences and dietary restrictions.

[0562] Specific example

[0563] The user enters "chicken" and "broccoli" as the main ingredients and provides "nut allergy" as allergen information. Based on this information, the server searches for recipes such as "garlic stir-fried chicken and broccoli" and displays them on the device as personalized recipes.

[0564] QR code integration and food ingredient management

[0565] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information obtained from the QR code in a database. The server periodically checks the database and sends a notification to the user if any food items are nearing their expiration date. This allows users to consume food properly and avoid waste.

[0566] Specific example

[0567] The user scans the QR code on the "milk" container. The device decodes the QR code and sends the information "Milk, Expiration Date October 10, 2023" to the server. The server stores this information in a database and sends a notification to the device saying "The expiration date of your milk is approaching" when the expiration date is nearing. The device displays this to the user, preventing unnecessary waste.

[0568] In this way, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience.

[0569] The following describes the processing flow.

[0570] User registration and authentication processing steps

[0571] Step 1:

[0572] The user enters their email address and password into the account creation form on their device.

[0573] Step 2:

[0574] The device sends the entered email address and password to the server.

[0575] Step 3:

[0576] The server hashes the password it receives.

[0577] Step 4:

[0578] The server stores hashed passwords and email addresses in a database.

[0579] Step 5:

[0580] The server sends a registration success response to the terminal.

[0581] Step 6:

[0582] The device displays the message "Your account has been created" to the user.

[0583] Recipe suggestion and personalization processing steps

[0584] Step 1:

[0585] The user enters ingredient information and allergen information on their device.

[0586] Step 2:

[0587] The terminal sends the entered food ingredient information and allergen information to the server.

[0588] Step 3:

[0589] The server analyzes the received information to determine the user's preferences and allergy restrictions.

[0590] Step 4:

[0591] The server searches the database for recipes that match the specified criteria.

[0592] Step 5:

[0593] The server sends the search results and recipes to the device.

[0594] Step 6:

[0595] The device displays the sent recipe to the user.

[0596] QR code integration and food ingredient management processing steps

[0597] Step 1:

[0598] The user scans the QR code on the purchased food item with their smartphone camera.

[0599] Step 2:

[0600] The device decodes the information in the QR code.

[0601] Step 3:

[0602] The terminal sends the decoded food information and expiration date information to the server.

[0603] Step 4:

[0604] The server saves the received food information and expiration date information to a database.

[0605] Step 5:

[0606] The server periodically checks the database to see if there are any ingredients nearing their expiration date.

[0607] Step 6:

[0608] The server sends a notification to the user if there are any ingredients nearing their expiration date.

[0609] Step 7:

[0610] The device displays an alert to the user saying, "AA's expiration date is approaching."

[0611] This allows users to efficiently manage ingredients and select recipes.

[0612] (Example 1)

[0613] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0614] Currently, systems exist on the market that offer recipe suggestions and ingredient management based on user preferences and allergen information. However, these systems are often complex for users and fail to provide sufficiently personalized suggestions. Furthermore, there are limited means of efficiently managing ingredients nearing their expiration date and reducing waste. In addition, recipe suggestions based on prompts generated by AI models are not being fully utilized. Therefore, there is a need for a system that allows users to efficiently and easily manage ingredients and obtain personalized recipes.

[0615] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0616] In this invention, the server includes means for receiving account information entered by the user, means for storing the account information in a database, means for receiving ingredient information and allergen information entered by the user, means for searching for and displaying recipes based on the ingredient information and allergen information, means for decoding QR code information read by the user, means for storing ingredient information and expiration date information contained in the QR code information in a database, means for periodically checking the stored expiration date information and sending a notification to the user when the expiration date is approaching, means for securely managing the user's account information and ingredient management information, means for displaying suggested recipes on the terminal according to the user's preferences, and means for making recipe suggestions based on prompt sentences using a generation AI model. As a result, the user can easily and efficiently manage ingredients and obtain personalized recipes.

[0617] A "user" is an individual who uses the system to input account information, ingredient information, and allergen information, and receives recipe suggestions and ingredient management notifications.

[0618] A "server" is a device or software that processes and stores various information received from users, and provides recipe suggestions and ingredient management notifications.

[0619] "Account information" refers to authentication information such as email addresses and passwords that users provide to use the system.

[0620] A "database" is a data storage system used to accumulate and manage account information, ingredient information, allergen information, and QR code information.

[0621] "Ingredient information" refers to data such as the type and quantity of ingredients that users input into the system.

[0622] "Allergen information" refers to data about foods that may cause allergies, which users input into the system.

[0623] A "recipe" is information that shows how to prepare a dish, suggested to the user.

[0624] "QR code information" refers to data about food ingredients obtained by scanning a QR code.

[0625] "Expiration date information" refers to data regarding the expiration date of food products.

[0626] A "generative AI model" is an artificial intelligence model that suggests recipes based on the input prompt text.

[0627] A "prompt message" is text data that represents a user's request or question, which is input into a generative AI model.

[0628]

[0629] This invention is a system that supports recipe suggestions and ingredient management based on user preferences and allergen information. The system consists of a user terminal, a server, and a device with a QR code reader function.

[0630] User registration and authentication

[0631] Users create accounts using their devices. They enter their email address and password on the device and click the "Register" button. The device sends this information to the server. The server hashes the received password and stores the hashed password and email address in a database. This ensures that the user's account information is managed securely. During authentication, the server also verifies and matches the email address and password entered by the user.

[0632] Recipe suggestions and personalization

[0633] The user uses a terminal to input information about ingredients and allergens. For example, the user might input "chicken" and "broccoli" as the main ingredients and provide "nut allergy" as allergen information. The terminal sends the information entered by the user to the server. The server analyzes the provided information and searches the database for recipes that match the user's preferences. This uses a generative AI model. The server sends the suitable recipe to the terminal, which then displays it to the user.

[0634] As a concrete example, a generative AI model can be used based on the following prompt:

[0635] "I currently have chicken and broccoli. I have a nut allergy. Could you please provide some recipes that use these ingredients?"

[0636] QR code integration and food ingredient management

[0637] The user scans the QR code on the purchased food item with their smartphone camera. For example, suppose the user scans the QR code for "milk." The device decodes the information from the QR code and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in its database.

[0638] The server periodically checks the database and sends notifications to users if any food items are nearing their expiration date. For example, when an expiration date is approaching, a notification such as "The expiration date of your milk is approaching" is sent to the device, which then displays this to the user. This allows users to consume food properly and avoid waste.

[0639] As described above, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience.

[0640] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0641] Step 1: Register an account

[0642] 1. User:

[0643] The user opens the "New Registration" screen on their device, enters their email address and password, and clicks the "Register" button.

[0644] Input: Email address (e.g., example@example.com) and password (e.g., password123)

[0645] 2. Terminal:

[0646] The terminal receives the entered email address and password and sends that data to the server.

[0647] Output: Email address and password to send to the server

[0648] 3. Server:

[0649] The server hashes the received password and stores the hashed password and email address in the database.

[0650] Hashing is performed to enhance security.

[0651] Input: Email address and password received from the device.

[0652] Output: Hashed passwords and email addresses are saved to the database.

[0653] Step 2: User Authentication

[0654] 1. User:

[0655] The user enters their email address and password on the login screen and clicks the "Login" button.

[0656] Input: Login email address and password

[0657] 2. Terminal:

[0658] The terminal receives the entered email address and password and sends that data to the server.

[0659] Output: Login email address and password to be sent to the server

[0660] 3. Server:

[0661] The server retrieves the corresponding hashed password from the database and compares it to the entered password.

[0662] If the matching is successful, an authentication success message is sent to the device; otherwise, an authentication failure message is sent.

[0663] Input: Login email address and password received from your device

[0664] Output: Send authentication result to the terminal

[0665] Step 3: Enter ingredient information and allergen information.

[0666] 1. User:

[0667] The user enters ingredient information and allergen information on their device.

[0668] Input: Food information (e.g., chicken, broccoli) and allergen information (e.g., nut allergy)

[0669] 2. Terminal:

[0670] The terminal receives the entered food ingredient information and allergen information and sends that data to the server.

[0671] Output: Food ingredient information and allergen information to be sent to the server

[0672] Step 4: Recipe suggestion

[0673] 1. Server:

[0674] The server searches its database based on the received ingredient and allergen information and retrieves a suitable recipe.

[0675] If necessary, a generative AI model will be used to suggest recipes based on the prompt text.

[0676] Input: Food ingredient information and allergen information received from the device.

[0677] Output: Search results or recipes generated from the AI ​​model

[0678] 2. Server:

[0679] The server sends a suitable recipe to the terminal.

[0680] Input: Suitable recipe

[0681] Output: Recipe to send to the terminal

[0682] 3. Terminal:

[0683] The device displays the received recipe to the user.

[0684] Input: Recipe received from the server

[0685] Output: Displayed recipe

[0686] Step 5: Scan the QR code information

[0687] 1. User:

[0688] The user scans the QR code on the purchased groceries with their smartphone camera.

[0689] Input: QR code information (Example: Milk, Expiration Date: October 10, 2023)

[0690] 2. Terminal:

[0691] The device decodes the information in the QR code and sends that data to the server.

[0692] Output: QR code information to send to the server

[0693] Step 6: Managing ingredient information and expiration dates

[0694] 1. Server:

[0695] The server saves the received QR code information to its database.

[0696] Input: QR code information received from the device

[0697] Output: Food ingredient information and expiration date information stored in the database

[0698] 2. Server:

[0699] The server periodically checks the database to see if there are any ingredients nearing their expiration date.

[0700] Input: Food ingredient information and expiration date information from the database

[0701] Output: List of food items nearing their expiration date

[0702] 3. Server:

[0703] When the expiration date approaches, the server sends a notification to the user.

[0704] Input: Information about food items nearing their expiration date.

[0705] Output: Send notification message to the device

[0706] 4. Device:

[0707] The device displays the received notification to the user.

[0708] Input: Notification message received from the server

[0709] Output: Notification message displayed to the user

[0710] (Application Example 1)

[0711] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0712] In modern eating habits, users need to efficiently manage their ingredients and easily find recipes that suit their individual preferences. Reducing food waste, especially while considering allergen information and expiration dates, is particularly important. However, existing systems struggle to meet these requirements. Furthermore, there are no systems that integrate with food delivery services for managing expiration dates and reordering.

[0713] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0714] In this invention, the server includes means for receiving account information entered by the user, means for receiving ingredient information and allergen information entered by the user, and means for decoding QR code information read by the user. This makes it possible to generate personalized recipes based on the user's past order history and allergen information, and to provide the option to reorder ingredients when their expiration date is approaching.

[0715] "Account information" refers to personal and authentication information that a user provides to register with the system, and typically includes an email address and password.

[0716] "Food ingredient information" refers to detailed information about food ingredients that the user owns or purchases, including name, quantity, and expiration date.

[0717] "Allergen information" refers to information about allergens that users should avoid consuming, and specifically includes allergen lists such as nuts, dairy products, and eggs.

[0718] "QR code information" refers to data in a two-dimensional barcode that encodes information about food ingredients, including the name of the ingredient and its expiration date.

[0719] A "generative AI model" is a model that uses artificial intelligence to generate useful information from data, and in this invention, it is mainly used for recipe suggestions.

[0720] A "prompt" is text data input to a generative AI model, containing instructions for the model to generate a specific output.

[0721] A "database" refers to an information system used to systematically store large amounts of data and to efficiently access and manage it.

[0722] "Stored expiration date information" refers to information about the expiration dates of food ingredients stored in a database, and is used to manage the expiration dates of food ingredients.

[0723] The "reorder option" refers to a feature that provides users with the option to automatically reorder food items that are nearing their expiration date.

[0724] A "personalized recipe" is a recipe customized based on the user's preferences and allergen information, aiming to suggest the most suitable dishes for each individual.

[0725] This invention is a system that supports recipe suggestions and ingredient management based on user preferences and allergen information. The system consists of a user terminal, a server, and a device with a QR code reader function. This system allows users to efficiently manage ingredients and easily find recipes tailored to their individual preferences.

[0726] User registration and authentication

[0727] Users create accounts using their devices. They enter their email address and password on their devices and click the "Register" button. The device sends this information to the server. The server hashes the received password and stores it in a database. This ensures the secure management of the user's account information. For authentication, the user enters their email address and password on their device, and the server verifies this information.

[0728] Recipe suggestions and personalization

[0729] The user enters ingredient and allergen information using a terminal. The terminal sends this information to a server. The server analyzes the provided information and uses a generative AI model to search its database for recipes that match the user's preferences. These recipes are sent to the terminal and displayed to the user. This allows users to easily find recipes that suit their preferences and restrictions.

[0730] Specific example

[0731] The user inputs "chicken" and "broccoli" as the main ingredients and provides "nut allergy" as allergen information. Based on this information, the server uses a generation AI model to display personalized recipes on the device, such as "Garlic Stir-fried Chicken and Broccoli." The generation AI model used in this process is prompted with the following text:

[0732] Based on the user's ingredients "chicken" and "broccoli," and allergen "nuts," generate an allergen-free recipe.

[0733] QR code integration and food ingredient management

[0734] Users scan the QR code on purchased groceries with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the grocery information and expiration date information obtained from the QR code in a database. The server periodically checks the database and notifies the user if any groceries are nearing their expiration date. Furthermore, it offers the option to automatically reorder groceries if the user requests it.

[0735] Specific example

[0736] The user scans the QR code on the "milk" package. The device decodes the QR code and sends the information "Milk, Expiration Date October 10, 2023" to the server. The server stores this information in a database and sends a notification to the device when the expiration date approaches, such as "Your milk is nearing its expiration date. Would you like to order more?" The user receives the notification and can choose the reorder option to prevent unnecessary waste.

[0737] In this way, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience. The hardware used is a smartphone (iOS or Android), and the software includes Firebase Authentication, a QR code reader library (e.g., Zxing), AWS Lambda, DynamoDB, and a generative AI model (e.g., OpenAI GPT-4).

[0738] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0739] Step 1:

[0740] The user creates an account using their device. The user enters their email address and password and clicks the "Register" button. The device sends this information to the server. The server hashes the received password and stores it in a database. The input for this step is the user's "email address" and "password," and the output is the database entry where the hashed password is stored.

[0741] Step 2:

[0742] The user logs in using a device. The user enters their email address and password, which the device sends to the server. The server compares the received password with a hashed password stored in the database and authenticates if they match. The input for this step is the user's "email address" and "password," and the output is a message indicating authentication success or failure.

[0743] Step 3:

[0744] The user enters ingredient and allergen information using a terminal. The terminal sends this information to the server. The server stores the user's input information in a database and searches for recipes based on the provided ingredient and allergen information. The input for this step is "ingredient information" and "allergen information," and the output is the information stored in the database and prompts for the generating AI model.

[0745] Step 4:

[0746] The server uses a generative AI model to search the database for recipes that match the user's preferences. It sends prompts to the generative AI model, which then generates recipes based on the user's input. These prompts might take the following form:

[0747] Based on the user's ingredients "chicken" and "broccoli," and allergen "nuts," generate an allergen-free recipe.

[0748] The input for this step is a prompt based on ingredient and allergen information, and the output is the generated recipe.

[0749] Step 5:

[0750] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information obtained from the QR code in a database. The input for this step is "QR code information," and the output is "food item information" and "expiration date information" stored in the database.

[0751] Step 6:

[0752] The server periodically checks the stored expiration date information. If any food items are nearing their expiration date, the server sends a notification to the user to ensure they are consumed properly to prevent waste. The input for this step is "expiration date information," and the output is a "notification message" informing the user that the expiration date is approaching.

[0753] Step 7:

[0754] When the expiration date approaches, the server offers the user the option to reorder the ingredients. The notification message includes the reorder option, and if the user selects to reorder, the terminal sends new order information to the server. The input for this step is "Reorder Selection," and the output is the new "Order Information."

[0755] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0756] This invention is a system that manages user account information, suggests appropriate recipes based on ingredient and allergen information, and manages ingredients using QR codes. By combining this system with an emotion engine that recognizes user emotions, it enables personalized recipe suggestions based on the user's feelings.

[0757] User registration and authentication

[0758] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The device sends this information to the server, which hashes the received password and stores it in a database. This ensures that the user's account information is securely managed. Similarly, the user enters their email address and password on their device and goes through an authentication process.

[0759] Recipe suggestions and personalization

[0760] The user enters ingredient and allergen information on a terminal. The terminal sends this information to a server, which analyzes the provided information. The server searches the database for recipes that match the user's preferences and restrictions, and sends the results to the terminal. The displayed recipes are tailored to the user's individual needs.

[0761] Embedding an emotion engine

[0762] This system includes an emotion engine that recognizes the user's emotions. When the user expresses their emotions to the terminal through a voice input device or camera, the emotion engine analyzes this data. The server receives the analysis results and changes the display order and content of recipes according to the user's emotions. For example, if the user is tired, the system will prioritize displaying recipes that are easy and quick to prepare.

[0763] Specific example

[0764] The user inputs ingredients such as "chicken" and "broccoli" and provides "nut allergy" as allergen information. Based on this information, the server searches for recipes such as "garlic stir-fried chicken and broccoli" and prioritizes them according to the user's mood. For example, if the user indicates a happy mood, the server might suggest a recipe like "roasted chicken and broccoli, perfect for a special occasion."

[0765] QR code integration and food ingredient management

[0766] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information in a database. The server periodically checks the database and sends a notification to the user if any food items are nearing their expiration date.

[0767] Specific example

[0768] When a user scans the QR code for "milk," the device decodes it and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in a database and generates a notification when the expiration date approaches, sending it to the device. This notification, which displays to the user "Your milk is about to expire," helps to prevent food waste.

[0769] Thus, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience, and the combination of emotion engines can provide an even more advanced user experience.

[0770] The following describes the processing flow.

[0771] User registration and authentication processing steps

[0772] Step 1:

[0773] The user enters their email address and password into the account creation form on their device.

[0774] Step 2:

[0775] The device sends the entered email address and password to the server.

[0776] Step 3:

[0777] The server hashes the password it receives.

[0778] Step 4:

[0779] The server stores hashed passwords and email addresses in a database.

[0780] Step 5:

[0781] The server sends a registration success response to the terminal.

[0782] Step 6:

[0783] The device displays the message "Your account has been created" to the user.

[0784] Recipe suggestion and personalization processing steps

[0785] Step 1:

[0786] The user enters ingredient information and allergen information on their device.

[0787] Step 2:

[0788] The terminal sends the entered food ingredient information and allergen information to the server.

[0789] Step 3:

[0790] The server analyzes the received information to determine the user's preferences and allergy restrictions.

[0791] Step 4:

[0792] The server searches the database for recipes that match the specified criteria.

[0793] Step 5:

[0794] The server sends the search results and recipes to the device.

[0795] Step 6:

[0796] The device displays the sent recipe to the user.

[0797] Processing steps involving the integration of an emotion engine

[0798] Step 1:

[0799] Users express their emotions through the device's microphone and camera.

[0800] Step 2:

[0801] The device records voice input and facial expressions and sends them to the emotion engine.

[0802] Step 3:

[0803] The emotion engine analyzes the user's emotions.

[0804] Step 4:

[0805] The emotion engine sends the analysis results to the server.

[0806] Step 5:

[0807] The server adjusts recipe search conditions based on emotion analysis results, ingredient information, and allergen information.

[0808] Step 6:

[0809] The server generates personalized recipes based on the user's emotions and sends them to the device.

[0810] Step 7:

[0811] The device displays recipes tailored to the user's emotions.

[0812] QR code integration and food ingredient management processing steps

[0813] Step 1:

[0814] The user scans the QR code on the purchased food item with their smartphone camera.

[0815] Step 2:

[0816] The device decodes the information in the QR code.

[0817] Step 3:

[0818] The terminal sends the decoded food information and expiration date information to the server.

[0819] Step 4:

[0820] The server saves the received food information and expiration date information to a database.

[0821] Step 5:

[0822] The server periodically checks the database to see if there are any ingredients nearing their expiration date.

[0823] Step 6:

[0824] The server sends a notification to the user if there are any ingredients nearing their expiration date.

[0825] Step 7:

[0826] The device displays an alert to the user saying, "AA's expiration date is approaching."

[0827] This will allow users to have a personalized cooking experience and efficiently manage their ingredients.

[0828] (Example 2)

[0829] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0830] While conventional recipe suggestion systems can provide recipes based on users' ingredient and allergen information, they cannot adequately address users' emotions or individual needs. Furthermore, they lack features for managing ingredients, such as notifying users of ingredients nearing their expiration date and ensuring their consumption is efficient and avoids waste.

[0831] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0832] In this invention, the server includes means for receiving account information entered by the user, means for storing the account information in a database, means for receiving ingredient information and allergen information entered by the user, means for searching for and displaying recipes based on the ingredient information and allergen information, means for decoding code information read by the user, means for storing ingredient information and expiration date information contained in the code information in a database, means for periodically checking the stored expiration date information and sending a notification to the user when the expiration date is approaching, means for recognizing the user's emotions, and means for changing the display order and content of recipes based on the emotions. This enables personalized recipe suggestions based on the user's emotions and individual needs, as well as efficient management that reduces food waste.

[0833] "Account information" refers to information such as email addresses and passwords used for user authentication and personal settings.

[0834] A "database" is an information management system for efficiently managing, searching, and updating large amounts of information.

[0835] "Ingredient information" refers to detailed information about the ingredients that the user plans to use.

[0836] "Allergen information" refers to information about specific substances that a user is allergic to.

[0837] A "recipe" is information about cooking methods that specifically details how to use ingredients and the steps involved.

[0838] "Code information" refers to machine-readable information such as QR codes and barcodes.

[0839] "Expiration date information" refers to information regarding the expiration date or best-before date of food ingredients or products.

[0840] "Emotions" refer to data that indicates the user's psychological state or mood.

[0841] An "emotion engine" is a system that analyzes a user's emotions from their visual and auditory data.

[0842] "Notifications" are a means of informing users of important information or messages.

[0843] A "server" is a computer system that processes data in response to user requests via a network.

[0844] A "terminal" is a device that a user directly operates, used for data input and display of results.

[0845] This invention is a system that manages user account information, suggests appropriate recipes based on ingredient and allergen information, and manages ingredients using QR codes. This system includes a function that enables personalized recipe suggestions based on the user's emotions by incorporating an emotion engine that recognizes the user's emotions.

[0846] User registration and authentication

[0847] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The device sends this information to the server, which hashes the received password and stores it in a database. This ensures that the user's account information is securely managed. Similarly, the user enters their email address and password on their device and goes through an authentication process.

[0848] Recipe suggestions and personalization

[0849] The user enters ingredient and allergen information on a terminal. The terminal sends this information to a server, which analyzes the provided information. The server searches the database for recipes that match the user's preferences and restrictions, and sends the results to the terminal. The displayed recipes are tailored to the user's individual needs.

[0850] Embedding an emotion engine

[0851] This system includes an emotion engine that recognizes the user's emotions. When the user expresses their emotions to the terminal through a voice input device or camera, the emotion engine analyzes this data. The server receives the analysis results and changes the display order and content of recipes according to the user's emotions. For example, if the user is tired, the system will prioritize displaying recipes that are easy and quick to prepare.

[0852] For example, a user might input "chicken" and "broccoli" as ingredients and provide "nut allergy" as allergen information. If the user indicates they are feeling tired, the server will use this information to suggest a simple recipe, such as "Easy Chicken and Broccoli Stir-fry." Conversely, if the user indicates they are feeling happy, the server will suggest a recipe like "Roasted Chicken and Broccoli, Perfect for a Special Occasion."

[0853] QR code integration and food ingredient management

[0854] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information in a database. The server periodically checks the database and sends a notification to the user if any food items are nearing their expiration date.

[0855] As a concrete example, when a user scans a QR code for "milk," the device decodes it and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in a database and generates a notification when the expiration date approaches, sending it to the device. This notification displays to the user, "The expiration date of your milk is approaching," allowing them to consume food without waste.

[0856] Examples of input prompts for a generative AI model

[0857] "Please suggest a simple chicken and broccoli recipe for users with nut allergies. Users are tired, so they would prefer a recipe with a short cooking time."

[0858] "Please suggest a special day recipe for a user who is expressing joy. The ingredients are chicken and broccoli."

[0859] As described above, this system provides users with an efficient and satisfying cooking experience by offering personalized recipe suggestions based on their emotions and providing an ingredient management function using QR codes.

[0860] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0861] System program processing flow

[0862] User registration and authentication

[0863] Step 1:

[0864] The user enters their email address and password into the account creation form on their device and clicks the "Register" button.

[0865] Specific action: The user enters "email@example.com" and "password123" into the form.

[0866] Step 2:

[0867] The terminal sends the entered information to the server.

[0868] Enter: Email address and password

[0869] Output: Sending a request to the server

[0870] Specific action: When the form's submit button is clicked, the device sends "email@example.com" and "password123" to the server.

[0871] Step 3:

[0872] The server hashes the received password and stores it in the database along with the email address.

[0873] Input: Email address and hashed password

[0874] Output: Database save complete status

[0875] Specific operation: The server converts "password123" into a "hash value" and saves it in the database along with "email@example.com".

[0876] Step 4:

[0877] The server sends a message to the device indicating that account creation is complete.

[0878] Input: Database save complete status

[0879] Output: Sending a message to the terminal

[0880] Specific action: The server sends a "Registration complete" message to the terminal.

[0881] Step 5:

[0882] The user checks the confirmation message on their device.

[0883] Specific action: The user confirms the "Registration Complete" message on their device screen.

[0884] Step 6:

[0885] The user enters their email address and password on the device's login screen.

[0886] Specific action: The user enters "email@example.com" and "password123" into the login form.

[0887] Step 7:

[0888] The terminal sends the entered information to the server.

[0889] Enter: Email address and password

[0890] Output: Sending a request to the server

[0891] Specific action: The user clicks the "Login" button, and the device sends "email@example.com" and "password123" to the server.

[0892] Step 8:

[0893] The server compares the password against the hashed password in the database.

[0894] Input: Email address and hashed password

[0895] Output: Matching result

[0896] Specific operation: The server compares the hashed password of "email@example.com" in the database with the hashed value of the entered password.

[0897] Step 9:

[0898] If the matching results are successful, the server returns an authentication success message to the terminal.

[0899] Input: Matching result

[0900] Output: Authentication success message

[0901] Specific action: The server sends a "Authentication successful" message to the terminal.

[0902] Step 10:

[0903] The user checks the screen after logging in on their device.

[0904] Specific action: The user checks the screen on their device after logging in.

[0905] Recipe suggestions and personalization

[0906] Step 1:

[0907] The user enters information about ingredients and allergens on their device.

[0908] Specific action: The user enters "chicken" and "broccoli" into the form, and "nut allergy" as allergen information.

[0909] Step 2:

[0910] The device sends this information to the server.

[0911] Input: Food ingredient information and allergen information

[0912] Output: Sending a request to the server

[0913] Specific action: The device sends "chicken," "broccoli," and "nut allergy" information to the server.

[0914] Step 3:

[0915] The server analyzes the received information and searches for recipes based on the user's preferences and constraints.

[0916] Input: Food ingredient information and allergen information

[0917] Output: Recipe list

[0918] Specific operation: The server searches the database for recipes that match the criteria "chicken," "broccoli," and "nut allergy."

[0919] Step 4:

[0920] The server sends the generated recipe list to the terminal.

[0921] Input: Recipe list

[0922] Output: Sending a request to the terminal

[0923] Specific operation: The server sends a list of recipes, such as "Garlic Stir-fried Chicken and Broccoli," to the terminal.

[0924] Step 5:

[0925] The user checks the suggested recipes on their device.

[0926] Specific action: The user checks the list of suggested recipes on their device.

[0927] Embedding an emotion engine

[0928] Step 1:

[0929] Users express their emotions to the device through voice input devices and cameras.

[0930] Specific action: The user smiles through the camera.

[0931] Step 2:

[0932] The device sends emotional data to the emotion engine, which then begins analysis.

[0933] Input: Sentiment data

[0934] Output: Analysis results

[0935] Specific operation: The device sends emotion data to the emotion engine, which then analyzes it.

[0936] Step 3:

[0937] The emotion engine sends the analysis results to the server.

[0938] Input: Analysis results

[0939] Output: Sending a request to the server

[0940] Specific operation: The emotion engine sends the "joy" result to the server.

[0941] Step 4:

[0942] The server re-evaluates the recipe list based on the analysis results and changes the display order and content.

[0943] Input: Analysis results

[0944] Output: Updated recipe list

[0945] Specific action: Based on the user's "joy" level, the server prioritizes displaying the special day recipe "Roasted Chicken and Broccoli".

[0946] Step 5:

[0947] The server sends the updated recipe list to the terminal.

[0948] Input: Updated recipe list

[0949] Output: Sending a request to the terminal

[0950] Specific action: The server sends the updated recipe list to the terminal.

[0951] Step 6:

[0952] The user checks the updated recipe list on their device.

[0953] Specific action: The user checks the updated recipe list on their device.

[0954] QR code integration and food ingredient management

[0955] Step 1:

[0956] Users use their smartphone cameras to scan the QR codes on the groceries they purchased.

[0957] Specific action: The user scans the QR code for "milk" with their camera.

[0958] Step 2:

[0959] The device decodes the information in the QR code.

[0960] Input: QR code information

[0961] Output: Decoded ingredient information

[0962] Specific action: The device decodes the information "Milk, Best before date October 10, 2023".

[0963] Step 3:

[0964] The terminal decodes the food information and expiration date information and sends it to the server.

[0965] Input: Decoded food information and expiration date information

[0966] Output: Sending a request to the server

[0967] Specific action: The device sends the information "Milk, Expiration Date October 10, 2023" to the server.

[0968] Step 4:

[0969] The server saves the received information to the database.

[0970] Input: Ingredient information and expiration date information

[0971] Output: Database save complete status

[0972] Specific action: The server saves the information "Milk, Best before date October 10, 2023" to the database.

[0973] Step 5:

[0974] The server periodically checks the database to find ingredients that are nearing their expiration date.

[0975] Input: Database information

[0976] Output: List of ingredients nearing their expiration date

[0977] Specific operation: The server periodically scans the database to find ingredients that are nearing their expiration date.

[0978] Step 6:

[0979] The server generates a notification about the relevant ingredient and sends it to the device.

[0980] Input: List of ingredients nearing their expiration date

[0981] Output: Notification message

[0982] Specific action: The server generates a notification such as "The expiration date of the milk is approaching."

[0983] Step 7:

[0984] Users check notifications on their devices and understand the expiration date.

[0985] Specific action: The user checks the notification on their device and understands the expiration date.

[0986] Examples of input prompts for a generative AI model

[0987] "Please suggest a simple chicken and broccoli recipe for users with nut allergies. Users are tired, so they would prefer a recipe with a short cooking time."

[0988] "Please suggest a special day recipe for a user who is expressing joy. The ingredients are chicken and broccoli."

[0989] (Application Example 2)

[0990] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0991] Traditional ingredient management and recipe suggestion systems lack sufficient personalization features based on user emotions and preferences, making it difficult for users to easily find the optimal recipe. Furthermore, the lack of notification functions for ingredients nearing their expiration date can lead to food waste. There is a need for a system that solves these problems and provides a more user-friendly and personalized cooking experience.

[0992] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for recognizing the user's emotions and displaying personalized recipes based on those emotions, means for receiving account information entered by the user, means for storing the account information in a database, and means for decoding QR code information read by the user. This not only enables the suggestion of appropriate recipes according to the user's emotions and preferences, but also provides a notification function based on expiration dates, thereby reducing food waste.

[0993] A "user" is an individual or legal entity that uses the system.

[0994] "Account information" refers to information used to identify a user and access the system. Specifically, this includes things like email addresses and passwords.

[0995] "Ingredient information" refers to information about the types and quantities of ingredients used by the user.

[0996] "Allergen information" refers to information about allergens that users should avoid.

[0997] A "recipe" is a document that lists the steps and ingredients needed to prepare a specific dish.

[0998] "QR code information" refers to all information encoded in a QR code. Specifically, this includes things like the name of the food item and its expiration date.

[0999] "Expiration date information" refers to information regarding the expiration date of food products.

[1000] An "emotion engine" refers to software or hardware used to analyze and recognize a user's emotions.

[1001] "Personalization" means optimizing content to suit each user's individual preferences and circumstances.

[1002] A "notification" is a message used to convey important information to a user. For example, it could be a warning message about food that is nearing its expiration date.

[1003] "Personalizing recipes" means adjusting the content and display order of recipes based on the user's emotions, ingredient information, and allergen information.

[1004] This invention is a system that manages user account information, suggests appropriate recipes based on ingredient and allergen information, and manages ingredients using QR codes. By combining this system with an emotion engine that recognizes user emotions, it enables personalized recipe suggestions based on the user's feelings.

[1005] Hardware and software configuration

[1006] Hardware:

[1007] Smartphone or tablet: Equipped with a camera used for QR code scanning and emotion recognition.

[1008] Server: Performs data processing and storage. The hardware configuration typically uses standard server equipment.

[1009] software:

[1010] Operating system: Mobile operating systems such as Android and iOS.

[1011] QR code scanner: Uses libraries such as OpenCV.

[1012] Emotion recognition engine: EmotionRecognizer (virtual library).

[1013] Database: MySQL, NoSQL, etc.

[1014] hashing library: hashlib (Python).

[1015] System Operation Description

[1016] User registration and authentication:

[1017] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The device sends this information to the server, which hashes the received password using hashlib and stores the account information in a database. When the user logs in again, they enter their email address and password again, and the authentication process is performed.

[1018] Recipe suggestions and personalization:

[1019] The user enters ingredient and allergen information on their device. The device sends this information to a server, which analyzes the provided data. The server searches the database for appropriate recipes based on the user's ingredient and allergen information and sends the results to the device. During this process, EmotionRecognizer analyzes the user's emotions, and recipes are prioritized based on those emotions.

[1020] Integrating an emotion engine:

[1021] When a user expresses an emotion to the device through a voice input device or camera, the emotion engine analyzes this data. The server receives the analysis results and changes the display order and content of recipes according to the user's emotion. For example, if a user inputs "chicken" and "broccoli" as ingredients and provides "nut allergy" as allergen information, the server will search for recipes such as "garlic stir-fried chicken and broccoli" based on this information, and if the user's emotion is "joy," it will suggest a recipe such as "roasted chicken and broccoli, perfect for a special occasion."

[1022] QR code integration and ingredient management:

[1023] The user scans the QR code of the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information in a database. The stored expiration date information is checked periodically, and if any food items are nearing their expiration date, a notification is sent to the user. For example, if a user scans the QR code for "milk," the device decodes it and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in the database and generates a notification when the expiration date is approaching, displaying "The expiration date of your milk is approaching" on the device.

[1024] Examples of prompt statements

[1025] Use the following prompts for the generative AI model:

[1026] "Please provide a concrete implementation example of a food delivery app that includes user registration, QR code scanning, and emotion recognition. Implement a function that retrieves ingredient information from the QR code and suggests recipes based on emotion recognition."

[1027] This enables the suggestion of optimal recipes tailored to the user's emotions and preferences, and also facilitates smooth food management based on expiration dates.

[1028] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1029] Step 1:

[1030] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The entered account information (email address and password) is sent from the device to the server.

[1031] The server receives this information, hashes the password using the hashlib library, and stores the user's account information in the database. This enables secure user account management.

[1032] Input: User's entered email address and password

[1033] Data processing: Password hashing

[1034] Output: Account information stored in the database

[1035] Step 2:

[1036] The user enters ingredient and allergen information on their device. This information is then sent from the device to the server.

[1037] The server analyzes ingredient and allergen information and searches the database for relevant recipes. The search results are then sent to the terminal, displaying the most suitable recipe to the user.

[1038] Input: User-entered food ingredient information and allergen information

[1039] Data processing: Analysis of input information, recipe search.

[1040] Output: Recipe suggestions displayed on the terminal

[1041] Step 3:

[1042] The user scans the QR code on the purchased groceries using their smartphone camera. The device decodes the QR code information and sends it to the server.

[1043] The server stores ingredient information and expiration date information obtained from QR codes in a database. This allows for efficient expiration date management.

[1044] Input: QR code information

[1045] Data processing: Decoding QR code information

[1046] Output: Food ingredient and expiration date information stored in the database

[1047] Step 4:

[1048] The server periodically checks the database to see if any food items are nearing their expiration date. If so, it generates a notification and sends it to the device.

[1049] The device displays a notification stating, "AA's expiration date is approaching." This allows users to manage their food ingredients efficiently.

[1050] Input: Database expiration date information

[1051] Data processing: Expiration date check, notification generation.

[1052] Output: Notification sent to the device

[1053] Step 5:

[1054] Users express their emotions through their smartphone's camera or voice input device. The device collects emotion data and analyzes it using the EmotionRecognizer library. Then, it sends the emotion data to a server.

[1055] The server receives emotional data and adjusts the priority and content of recipes accordingly. If the emotional state is "tired," it suggests simple recipes; if the emotional state is "joyful," it suggests recipes for special occasions.

[1056] Input: User sentiment data (voice and images)

[1057] Data processing: Emotion analysis, recipe resetting

[1058] Output: Personalized recipes displayed on the device

[1059] Through each of the steps described above, it becomes possible to suggest optimal recipes tailored to the user's emotions and preferences, and to efficiently manage expiration dates. This system allows users to enjoy a more personalized and efficient cooking experience.

[1060] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1061] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1062] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[1063] [Third Embodiment]

[1064] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[1065] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1066] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1067] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[1068] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1069] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1070] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1071] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1072] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1073] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1074] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1075] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[1076] This invention is a system that supports recipe suggestions and ingredient management based on user preferences and allergen information. The system consists of a user terminal, a server, and a device with a QR code reader function. This system allows users to efficiently manage ingredients and easily find recipes tailored to their individual preferences.

[1077] User registration and authentication

[1078] Users create accounts using their devices. The user enters their email address and password on the device and clicks the "Register" button. The device sends this information to the server. The server hashes the received password and stores it in a database. This ensures the secure management of the user's account information. For authentication, the user enters their email address and password on the device, and the server verifies this information.

[1079] Recipe suggestions and personalization

[1080] The user enters ingredient and allergen information using a terminal. The terminal sends this information to a server. The server analyzes the provided information and searches its database for recipes that match the user's preferences. These recipes are sent to the terminal and displayed to the user. This allows users to easily find recipes that suit their preferences and dietary restrictions.

[1081] Specific example

[1082] The user enters "chicken" and "broccoli" as the main ingredients and provides "nut allergy" as allergen information. Based on this information, the server searches for recipes such as "garlic stir-fried chicken and broccoli" and displays them on the device as personalized recipes.

[1083] QR code integration and food ingredient management

[1084] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information obtained from the QR code in a database. The server periodically checks the database and sends a notification to the user if any food items are nearing their expiration date. This allows users to consume food properly and avoid waste.

[1085] Specific example

[1086] The user scans the QR code on the "milk" container. The device decodes the QR code and sends the information "Milk, Expiration Date October 10, 2023" to the server. The server stores this information in a database and sends a notification to the device saying "The expiration date of your milk is approaching" when the expiration date is nearing. The device displays this to the user, preventing unnecessary waste.

[1087] In this way, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience.

[1088] The following describes the processing flow.

[1089] User registration and authentication processing steps

[1090] Step 1:

[1091] The user enters their email address and password into the account creation form on their device.

[1092] Step 2:

[1093] The device sends the entered email address and password to the server.

[1094] Step 3:

[1095] The server hashes the password it receives.

[1096] Step 4:

[1097] The server stores hashed passwords and email addresses in a database.

[1098] Step 5:

[1099] The server sends a registration success response to the terminal.

[1100] Step 6:

[1101] The device displays the message "Your account has been created" to the user.

[1102] Recipe suggestion and personalization processing steps

[1103] Step 1:

[1104] The user enters ingredient information and allergen information on their device.

[1105] Step 2:

[1106] The terminal sends the entered food ingredient information and allergen information to the server.

[1107] Step 3:

[1108] The server analyzes the received information to determine the user's preferences and allergy restrictions.

[1109] Step 4:

[1110] The server searches the database for recipes that match the specified criteria.

[1111] Step 5:

[1112] The server sends the search results and recipes to the device.

[1113] Step 6:

[1114] The device displays the sent recipe to the user.

[1115] QR code integration and food ingredient management processing steps

[1116] Step 1:

[1117] The user scans the QR code on the purchased food item with their smartphone camera.

[1118] Step 2:

[1119] The device decodes the information in the QR code.

[1120] Step 3:

[1121] The terminal sends the decoded food information and expiration date information to the server.

[1122] Step 4:

[1123] The server saves the received food information and expiration date information to a database.

[1124] Step 5:

[1125] The server periodically checks the database to see if there are any ingredients nearing their expiration date.

[1126] Step 6:

[1127] The server sends a notification to the user if there are any ingredients nearing their expiration date.

[1128] Step 7:

[1129] The device displays an alert to the user saying, "AA's expiration date is approaching."

[1130] This allows users to efficiently manage ingredients and select recipes.

[1131] (Example 1)

[1132] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1133] Currently, systems exist on the market that offer recipe suggestions and ingredient management based on user preferences and allergen information. However, these systems are often complex for users and fail to provide sufficiently personalized suggestions. Furthermore, there are limited means of efficiently managing ingredients nearing their expiration date and reducing waste. In addition, recipe suggestions based on prompts generated by AI models are not being fully utilized. Therefore, there is a need for a system that allows users to efficiently and easily manage ingredients and obtain personalized recipes.

[1134] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1135] In this invention, the server includes means for receiving account information entered by the user, means for storing the account information in a database, means for receiving ingredient information and allergen information entered by the user, means for searching for and displaying recipes based on the ingredient information and allergen information, means for decoding QR code information read by the user, means for storing ingredient information and expiration date information contained in the QR code information in a database, means for periodically checking the stored expiration date information and sending a notification to the user when the expiration date is approaching, means for securely managing the user's account information and ingredient management information, means for displaying suggested recipes on the terminal according to the user's preferences, and means for making recipe suggestions based on prompt sentences using a generation AI model. As a result, the user can easily and efficiently manage ingredients and obtain personalized recipes.

[1136] A "user" is an individual who uses the system to input account information, ingredient information, and allergen information, and receives recipe suggestions and ingredient management notifications.

[1137] A "server" is a device or software that processes and stores various information received from users, and provides recipe suggestions and ingredient management notifications.

[1138] "Account information" refers to authentication information such as email addresses and passwords that users provide to use the system.

[1139] A "database" is a data storage system used to accumulate and manage account information, ingredient information, allergen information, and QR code information.

[1140] "Ingredient information" refers to data such as the type and quantity of ingredients that users input into the system.

[1141] "Allergen information" refers to data about foods that may cause allergies, which users input into the system.

[1142] A "recipe" is information that shows how to prepare a dish, suggested to the user.

[1143] "QR code information" refers to data about food ingredients obtained by scanning a QR code.

[1144] "Expiration date information" refers to data regarding the expiration date of food products.

[1145] A "generative AI model" is an artificial intelligence model that suggests recipes based on the input prompt text.

[1146] A "prompt message" is text data that represents a user's request or question, which is input into a generative AI model.

[1147]

[1148] This invention is a system that supports recipe suggestions and ingredient management based on user preferences and allergen information. The system consists of a user terminal, a server, and a device with a QR code reader function.

[1149] User registration and authentication

[1150] Users create accounts using their devices. They enter their email address and password on the device and click the "Register" button. The device sends this information to the server. The server hashes the received password and stores the hashed password and email address in a database. This ensures that the user's account information is managed securely. During authentication, the server also verifies and matches the email address and password entered by the user.

[1151] Recipe suggestions and personalization

[1152] The user uses a terminal to input information about ingredients and allergens. For example, the user might input "chicken" and "broccoli" as the main ingredients and provide "nut allergy" as allergen information. The terminal sends the information entered by the user to the server. The server analyzes the provided information and searches the database for recipes that match the user's preferences. This uses a generative AI model. The server sends the suitable recipe to the terminal, which then displays it to the user.

[1153] As a concrete example, a generative AI model can be used based on the following prompt:

[1154] "I currently have chicken and broccoli. I have a nut allergy. Could you please provide some recipes that use these ingredients?"

[1155] QR code integration and food ingredient management

[1156] The user scans the QR code on the purchased food item with their smartphone camera. For example, suppose the user scans the QR code for "milk." The device decodes the information from the QR code and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in its database.

[1157] The server periodically checks the database and sends notifications to users if any food items are nearing their expiration date. For example, when an expiration date is approaching, a notification such as "The expiration date of your milk is approaching" is sent to the device, which then displays this to the user. This allows users to consume food properly and avoid waste.

[1158] As described above, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience.

[1159] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1160] Step 1: Register an account

[1161] 1. User:

[1162] The user opens the "New Registration" screen on their device, enters their email address and password, and clicks the "Register" button.

[1163] Input: Email address (e.g., example@example.com) and password (e.g., password123)

[1164] 2. Terminal:

[1165] The terminal receives the entered email address and password and sends that data to the server.

[1166] Output: Email address and password to send to the server

[1167] 3. Server:

[1168] The server hashes the received password and stores the hashed password and email address in the database.

[1169] Hashing is performed to enhance security.

[1170] Input: Email address and password received from the device.

[1171] Output: Hashed passwords and email addresses are saved to the database.

[1172] Step 2: User Authentication

[1173] 1. User:

[1174] The user enters their email address and password on the login screen and clicks the "Login" button.

[1175] Input: Login email address and password

[1176] 2. Terminal:

[1177] The terminal receives the entered email address and password and sends that data to the server.

[1178] Output: Login email address and password to be sent to the server

[1179] 3. Server:

[1180] The server retrieves the corresponding hashed password from the database and compares it to the entered password.

[1181] If the matching is successful, an authentication success message is sent to the device; otherwise, an authentication failure message is sent.

[1182] Input: Login email address and password received from your device

[1183] Output: Send authentication result to the terminal

[1184] Step 3: Enter ingredient information and allergen information.

[1185] 1. User:

[1186] The user enters ingredient information and allergen information on their device.

[1187] Input: Food information (e.g., chicken, broccoli) and allergen information (e.g., nut allergy)

[1188] 2. Terminal:

[1189] The terminal receives the entered food ingredient information and allergen information and sends that data to the server.

[1190] Output: Food ingredient information and allergen information to be sent to the server

[1191] Step 4: Recipe suggestion

[1192] 1. Server:

[1193] The server searches its database based on the received ingredient and allergen information and retrieves a suitable recipe.

[1194] If necessary, a generative AI model will be used to suggest recipes based on the prompt text.

[1195] Input: Food ingredient information and allergen information received from the device.

[1196] Output: Search results or recipes generated from the AI ​​model

[1197] 2. Server:

[1198] The server sends a suitable recipe to the terminal.

[1199] Input: Suitable recipe

[1200] Output: Recipe to send to the terminal

[1201] 3. Terminal:

[1202] The device displays the received recipe to the user.

[1203] Input: Recipe received from the server

[1204] Output: Displayed recipe

[1205] Step 5: Scan the QR code information

[1206] 1. User:

[1207] The user scans the QR code on the purchased groceries with their smartphone camera.

[1208] Input: QR code information (Example: Milk, Expiration Date: October 10, 2023)

[1209] 2. Terminal:

[1210] The device decodes the information in the QR code and sends that data to the server.

[1211] Output: QR code information to send to the server

[1212] Step 6: Managing ingredient information and expiration dates

[1213] 1. Server:

[1214] The server saves the received QR code information to its database.

[1215] Input: QR code information received from the device

[1216] Output: Food ingredient information and expiration date information stored in the database

[1217] 2. Server:

[1218] The server periodically checks the database to see if there are any ingredients nearing their expiration date.

[1219] Input: Food ingredient information and expiration date information from the database

[1220] Output: List of food items nearing their expiration date

[1221] 3. Server:

[1222] When the expiration date approaches, the server sends a notification to the user.

[1223] Input: Information about food items nearing their expiration date.

[1224] Output: Send notification message to the device

[1225] 4. Device:

[1226] The device displays the received notification to the user.

[1227] Input: Notification message received from the server

[1228] Output: Notification message displayed to the user

[1229] (Application Example 1)

[1230] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1231] In modern eating habits, users need to efficiently manage their ingredients and easily find recipes that suit their individual preferences. Reducing food waste, especially while considering allergen information and expiration dates, is particularly important. However, existing systems struggle to meet these requirements. Furthermore, there are no systems that integrate with food delivery services for managing expiration dates and reordering.

[1232] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1233] In this invention, the server includes means for receiving account information entered by the user, means for receiving ingredient information and allergen information entered by the user, and means for decoding QR code information read by the user. This makes it possible to generate personalized recipes based on the user's past order history and allergen information, and to provide the option to reorder ingredients when their expiration date is approaching.

[1234] "Account information" refers to personal and authentication information that a user provides to register with the system, and typically includes an email address and password.

[1235] "Food ingredient information" refers to detailed information about food ingredients that the user owns or purchases, including name, quantity, and expiration date.

[1236] "Allergen information" refers to information about allergens that users should avoid consuming, and specifically includes allergen lists such as nuts, dairy products, and eggs.

[1237] "QR code information" refers to data in a two-dimensional barcode that encodes information about food ingredients, including the name of the ingredient and its expiration date.

[1238] A "generative AI model" is a model that uses artificial intelligence to generate useful information from data, and in this invention, it is mainly used for recipe suggestions.

[1239] A "prompt" is text data input to a generative AI model, containing instructions for the model to generate a specific output.

[1240] A "database" refers to an information system used to systematically store large amounts of data and to efficiently access and manage it.

[1241] "Stored expiration date information" refers to information about the expiration dates of food ingredients stored in a database, and is used to manage the expiration dates of food ingredients.

[1242] The "reorder option" refers to a feature that provides users with the option to automatically reorder food items that are nearing their expiration date.

[1243] A "personalized recipe" is a recipe customized based on the user's preferences and allergen information, aiming to suggest the most suitable dishes for each individual.

[1244] This invention is a system that supports recipe suggestions and ingredient management based on user preferences and allergen information. The system consists of a user terminal, a server, and a device with a QR code reader function. This system allows users to efficiently manage ingredients and easily find recipes tailored to their individual preferences.

[1245] User registration and authentication

[1246] Users create accounts using their devices. They enter their email address and password on their devices and click the "Register" button. The device sends this information to the server. The server hashes the received password and stores it in a database. This ensures the secure management of the user's account information. For authentication, the user enters their email address and password on their device, and the server verifies this information.

[1247] Recipe suggestions and personalization

[1248] The user enters ingredient and allergen information using a terminal. The terminal sends this information to a server. The server analyzes the provided information and uses a generative AI model to search its database for recipes that match the user's preferences. These recipes are sent to the terminal and displayed to the user. This allows users to easily find recipes that suit their preferences and restrictions.

[1249] Specific example

[1250] The user inputs "chicken" and "broccoli" as the main ingredients and provides "nut allergy" as allergen information. Based on this information, the server uses a generation AI model to display personalized recipes on the device, such as "Garlic Stir-fried Chicken and Broccoli." The generation AI model used in this process is prompted with the following text:

[1251] Based on the user's ingredients "chicken" and "broccoli," and allergen "nuts," generate an allergen-free recipe.

[1252] QR code integration and food ingredient management

[1253] Users scan the QR code on purchased groceries with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the grocery information and expiration date information obtained from the QR code in a database. The server periodically checks the database and notifies the user if any groceries are nearing their expiration date. Furthermore, it offers the option to automatically reorder groceries if the user requests it.

[1254] Specific example

[1255] The user scans the QR code on the "milk" package. The device decodes the QR code and sends the information "Milk, Expiration Date October 10, 2023" to the server. The server stores this information in a database and sends a notification to the device when the expiration date approaches, such as "Your milk is nearing its expiration date. Would you like to order more?" The user receives the notification and can choose the reorder option to prevent unnecessary waste.

[1256] In this way, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience. The hardware used is a smartphone (iOS or Android), and the software includes Firebase Authentication, a QR code reader library (e.g., Zxing), AWS Lambda, DynamoDB, and a generative AI model (e.g., OpenAI GPT-4).

[1257] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1258] Step 1:

[1259] The user creates an account using their device. The user enters their email address and password and clicks the "Register" button. The device sends this information to the server. The server hashes the received password and stores it in a database. The input for this step is the user's "email address" and "password," and the output is the database entry where the hashed password is stored.

[1260] Step 2:

[1261] The user logs in using a device. The user enters their email address and password, which the device sends to the server. The server compares the received password with a hashed password stored in the database and authenticates if they match. The input for this step is the user's "email address" and "password," and the output is a message indicating authentication success or failure.

[1262] Step 3:

[1263] The user enters ingredient and allergen information using a terminal. The terminal sends this information to the server. The server stores the user's input information in a database and searches for recipes based on the provided ingredient and allergen information. The input for this step is "ingredient information" and "allergen information," and the output is the information stored in the database and prompts for the generating AI model.

[1264] Step 4:

[1265] The server uses a generative AI model to search the database for recipes that match the user's preferences. It sends prompts to the generative AI model, which then generates recipes based on the user's input. These prompts might take the following form:

[1266] Based on the user's ingredients "chicken" and "broccoli," and allergen "nuts," generate an allergen-free recipe.

[1267] The input for this step is a prompt based on ingredient and allergen information, and the output is the generated recipe.

[1268] Step 5:

[1269] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information obtained from the QR code in a database. The input for this step is "QR code information," and the output is "food item information" and "expiration date information" stored in the database.

[1270] Step 6:

[1271] The server periodically checks the stored expiration date information. If any food items are nearing their expiration date, the server sends a notification to the user to ensure they are consumed properly to prevent waste. The input for this step is "expiration date information," and the output is a "notification message" informing the user that the expiration date is approaching.

[1272] Step 7:

[1273] When the expiration date approaches, the server offers the user the option to reorder the ingredients. The notification message includes the reorder option, and if the user selects to reorder, the terminal sends new order information to the server. The input for this step is "Reorder Selection," and the output is the new "Order Information."

[1274] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1275] This invention is a system that manages user account information, suggests appropriate recipes based on ingredient and allergen information, and manages ingredients using QR codes. By combining this system with an emotion engine that recognizes user emotions, it enables personalized recipe suggestions based on the user's feelings.

[1276] User registration and authentication

[1277] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The device sends this information to the server, which hashes the received password and stores it in a database. This ensures that the user's account information is securely managed. Similarly, the user enters their email address and password on their device and goes through an authentication process.

[1278] Recipe suggestions and personalization

[1279] The user enters ingredient and allergen information on a terminal. The terminal sends this information to a server, which analyzes the provided information. The server searches the database for recipes that match the user's preferences and restrictions, and sends the results to the terminal. The displayed recipes are tailored to the user's individual needs.

[1280] Embedding an emotion engine

[1281] This system includes an emotion engine that recognizes the user's emotions. When the user expresses their emotions to the terminal through a voice input device or camera, the emotion engine analyzes this data. The server receives the analysis results and changes the display order and content of recipes according to the user's emotions. For example, if the user is tired, the system will prioritize displaying recipes that are easy and quick to prepare.

[1282] Specific example

[1283] The user inputs ingredients such as "chicken" and "broccoli" and provides "nut allergy" as allergen information. Based on this information, the server searches for recipes such as "garlic stir-fried chicken and broccoli" and prioritizes them according to the user's mood. For example, if the user indicates a happy mood, the server might suggest a recipe like "roasted chicken and broccoli, perfect for a special occasion."

[1284] QR code integration and food ingredient management

[1285] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information in a database. The server periodically checks the database and sends a notification to the user if any food items are nearing their expiration date.

[1286] Specific example

[1287] When a user scans the QR code for "milk," the device decodes it and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in a database and generates a notification when the expiration date approaches, sending it to the device. This notification, which displays to the user "Your milk is about to expire," helps to prevent food waste.

[1288] Thus, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience, and the combination of emotion engines can provide an even more advanced user experience.

[1289] The following describes the processing flow.

[1290] User registration and authentication processing steps

[1291] Step 1:

[1292] The user enters their email address and password into the account creation form on their device.

[1293] Step 2:

[1294] The device sends the entered email address and password to the server.

[1295] Step 3:

[1296] The server hashes the password it receives.

[1297] Step 4:

[1298] The server stores hashed passwords and email addresses in a database.

[1299] Step 5:

[1300] The server sends a registration success response to the terminal.

[1301] Step 6:

[1302] The device displays the message "Your account has been created" to the user.

[1303] Recipe suggestion and personalization processing steps

[1304] Step 1:

[1305] The user enters ingredient information and allergen information on their device.

[1306] Step 2:

[1307] The terminal sends the entered food ingredient information and allergen information to the server.

[1308] Step 3:

[1309] The server analyzes the received information to determine the user's preferences and allergy restrictions.

[1310] Step 4:

[1311] The server searches the database for recipes that match the specified criteria.

[1312] Step 5:

[1313] The server sends the search results and recipes to the device.

[1314] Step 6:

[1315] The device displays the sent recipe to the user.

[1316] Processing steps involving the integration of an emotion engine

[1317] Step 1:

[1318] Users express their emotions through the device's microphone and camera.

[1319] Step 2:

[1320] The device records voice input and facial expressions and sends them to the emotion engine.

[1321] Step 3:

[1322] The emotion engine analyzes the user's emotions.

[1323] Step 4:

[1324] The emotion engine sends the analysis results to the server.

[1325] Step 5:

[1326] The server adjusts recipe search conditions based on emotion analysis results, ingredient information, and allergen information.

[1327] Step 6:

[1328] The server generates personalized recipes based on the user's emotions and sends them to the device.

[1329] Step 7:

[1330] The device displays recipes tailored to the user's emotions.

[1331] QR code integration and food ingredient management processing steps

[1332] Step 1:

[1333] The user scans the QR code on the purchased food item with their smartphone camera.

[1334] Step 2:

[1335] The device decodes the information in the QR code.

[1336] Step 3:

[1337] The terminal sends the decoded food information and expiration date information to the server.

[1338] Step 4:

[1339] The server saves the received food information and expiration date information to a database.

[1340] Step 5:

[1341] The server periodically checks the database to see if there are any ingredients nearing their expiration date.

[1342] Step 6:

[1343] The server sends a notification to the user if there are any ingredients nearing their expiration date.

[1344] Step 7:

[1345] The device displays an alert to the user saying, "AA's expiration date is approaching."

[1346] This will allow users to have a personalized cooking experience and efficiently manage their ingredients.

[1347] (Example 2)

[1348] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1349] While conventional recipe suggestion systems can provide recipes based on users' ingredient and allergen information, they cannot adequately address users' emotions or individual needs. Furthermore, they lack features for managing ingredients, such as notifying users of ingredients nearing their expiration date and ensuring their consumption is efficient and avoids waste.

[1350] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1351] In this invention, the server includes means for receiving account information entered by the user, means for storing the account information in a database, means for receiving ingredient information and allergen information entered by the user, means for searching for and displaying recipes based on the ingredient information and allergen information, means for decoding code information read by the user, means for storing ingredient information and expiration date information contained in the code information in a database, means for periodically checking the stored expiration date information and sending a notification to the user when the expiration date is approaching, means for recognizing the user's emotions, and means for changing the display order and content of recipes based on the emotions. This enables personalized recipe suggestions based on the user's emotions and individual needs, as well as efficient management that reduces food waste.

[1352] "Account information" refers to information such as email addresses and passwords used for user authentication and personal settings.

[1353] A "database" is an information management system for efficiently managing, searching, and updating large amounts of information.

[1354] "Ingredient information" refers to detailed information about the ingredients that the user plans to use.

[1355] "Allergen information" refers to information about specific substances that a user is allergic to.

[1356] A "recipe" is information about cooking methods that specifically details how to use ingredients and the steps involved.

[1357] "Code information" refers to machine-readable information such as QR codes and barcodes.

[1358] "Expiration date information" refers to information regarding the expiration date or best-before date of food ingredients or products.

[1359] "Emotions" refer to data that indicates the user's psychological state or mood.

[1360] An "emotion engine" is a system that analyzes a user's emotions from their visual and auditory data.

[1361] "Notifications" are a means of informing users of important information or messages.

[1362] A "server" is a computer system that processes data in response to user requests via a network.

[1363] A "terminal" is a device that a user directly operates, used for data input and display of results.

[1364] This invention is a system that manages user account information, suggests appropriate recipes based on ingredient and allergen information, and manages ingredients using QR codes. This system includes a function that enables personalized recipe suggestions based on the user's emotions by incorporating an emotion engine that recognizes the user's emotions.

[1365] User registration and authentication

[1366] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The device sends this information to the server, which hashes the received password and stores it in a database. This ensures that the user's account information is securely managed. Similarly, the user enters their email address and password on their device and goes through an authentication process.

[1367] Recipe suggestions and personalization

[1368] The user enters ingredient and allergen information on a terminal. The terminal sends this information to a server, which analyzes the provided information. The server searches the database for recipes that match the user's preferences and restrictions, and sends the results to the terminal. The displayed recipes are tailored to the user's individual needs.

[1369] Embedding an emotion engine

[1370] This system includes an emotion engine that recognizes the user's emotions. When the user expresses their emotions to the terminal through a voice input device or camera, the emotion engine analyzes this data. The server receives the analysis results and changes the display order and content of recipes according to the user's emotions. For example, if the user is tired, the system will prioritize displaying recipes that are easy and quick to prepare.

[1371] For example, a user might input "chicken" and "broccoli" as ingredients and provide "nut allergy" as allergen information. If the user indicates they are feeling tired, the server will use this information to suggest a simple recipe, such as "Easy Chicken and Broccoli Stir-fry." Conversely, if the user indicates they are feeling happy, the server will suggest a recipe like "Roasted Chicken and Broccoli, Perfect for a Special Occasion."

[1372] QR code integration and food ingredient management

[1373] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information in a database. The server periodically checks the database and sends a notification to the user if any food items are nearing their expiration date.

[1374] As a concrete example, when a user scans a QR code for "milk," the device decodes it and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in a database and generates a notification when the expiration date approaches, sending it to the device. This notification displays to the user, "The expiration date of your milk is approaching," allowing them to consume food without waste.

[1375] Examples of input prompts for a generative AI model

[1376] "Please suggest a simple chicken and broccoli recipe for users with nut allergies. Users are tired, so they would prefer a recipe with a short cooking time."

[1377] "Please suggest a special day recipe for a user who is expressing joy. The ingredients are chicken and broccoli."

[1378] As described above, this system provides users with an efficient and satisfying cooking experience by offering personalized recipe suggestions based on their emotions and providing an ingredient management function using QR codes.

[1379] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1380] System program processing flow

[1381] User registration and authentication

[1382] Step 1:

[1383] The user enters their email address and password into the account creation form on their device and clicks the "Register" button.

[1384] Specific action: The user enters "email@example.com" and "password123" into the form.

[1385] Step 2:

[1386] The terminal sends the entered information to the server.

[1387] Enter: Email address and password

[1388] Output: Sending a request to the server

[1389] Specific action: When the form's submit button is clicked, the device sends "email@example.com" and "password123" to the server.

[1390] Step 3:

[1391] The server hashes the received password and stores it in the database along with the email address.

[1392] Input: Email address and hashed password

[1393] Output: Database save complete status

[1394] Specific operation: The server converts "password123" into a "hash value" and saves it in the database along with "email@example.com".

[1395] Step 4:

[1396] The server sends a message to the device indicating that account creation is complete.

[1397] Input: Database save complete status

[1398] Output: Sending a message to the terminal

[1399] Specific action: The server sends a "Registration complete" message to the terminal.

[1400] Step 5:

[1401] The user checks the confirmation message on their device.

[1402] Specific action: The user confirms the "Registration Complete" message on their device screen.

[1403] Step 6:

[1404] The user enters their email address and password on the device's login screen.

[1405] Specific action: The user enters "email@example.com" and "password123" into the login form.

[1406] Step 7:

[1407] The terminal sends the entered information to the server.

[1408] Enter: Email address and password

[1409] Output: Sending a request to the server

[1410] Specific action: The user clicks the "Login" button, and the device sends "email@example.com" and "password123" to the server.

[1411] Step 8:

[1412] The server compares the password against the hashed password in the database.

[1413] Input: Email address and hashed password

[1414] Output: Matching result

[1415] Specific operation: The server compares the hashed password of "email@example.com" in the database with the hashed value of the entered password.

[1416] Step 9:

[1417] If the matching results are successful, the server returns an authentication success message to the terminal.

[1418] Input: Matching result

[1419] Output: Authentication success message

[1420] Specific action: The server sends a "Authentication successful" message to the terminal.

[1421] Step 10:

[1422] The user checks the screen after logging in on their device.

[1423] Specific action: The user checks the screen on their device after logging in.

[1424] Recipe suggestions and personalization

[1425] Step 1:

[1426] The user enters information about ingredients and allergens on their device.

[1427] Specific action: The user enters "chicken" and "broccoli" into the form, and "nut allergy" as allergen information.

[1428] Step 2:

[1429] The device sends this information to the server.

[1430] Input: Food ingredient information and allergen information

[1431] Output: Sending a request to the server

[1432] Specific action: The device sends "chicken," "broccoli," and "nut allergy" information to the server.

[1433] Step 3:

[1434] The server analyzes the received information and searches for recipes based on the user's preferences and constraints.

[1435] Input: Food ingredient information and allergen information

[1436] Output: Recipe list

[1437] Specific operation: The server searches the database for recipes that match the criteria "chicken," "broccoli," and "nut allergy."

[1438] Step 4:

[1439] The server sends the generated recipe list to the terminal.

[1440] Input: Recipe list

[1441] Output: Sending a request to the terminal

[1442] Specific operation: The server sends a list of recipes, such as "Garlic Stir-fried Chicken and Broccoli," to the terminal.

[1443] Step 5:

[1444] The user checks the suggested recipes on their device.

[1445] Specific action: The user checks the list of suggested recipes on their device.

[1446] Embedding an emotion engine

[1447] Step 1:

[1448] Users express their emotions to the device through voice input devices and cameras.

[1449] Specific action: The user smiles through the camera.

[1450] Step 2:

[1451] The device sends emotional data to the emotion engine, which then begins analysis.

[1452] Input: Sentiment data

[1453] Output: Analysis results

[1454] Specific operation: The device sends emotion data to the emotion engine, which then analyzes it.

[1455] Step 3:

[1456] The emotion engine sends the analysis results to the server.

[1457] Input: Analysis results

[1458] Output: Sending a request to the server

[1459] Specific operation: The emotion engine sends the "joy" result to the server.

[1460] Step 4:

[1461] The server re-evaluates the recipe list based on the analysis results and changes the display order and content.

[1462] Input: Analysis results

[1463] Output: Updated recipe list

[1464] Specific action: Based on the user's "joy" level, the server prioritizes displaying the special day recipe "Roasted Chicken and Broccoli".

[1465] Step 5:

[1466] The server sends the updated recipe list to the terminal.

[1467] Input: Updated recipe list

[1468] Output: Sending a request to the terminal

[1469] Specific action: The server sends the updated recipe list to the terminal.

[1470] Step 6:

[1471] The user checks the updated recipe list on their device.

[1472] Specific action: The user checks the updated recipe list on their device.

[1473] QR code integration and food ingredient management

[1474] Step 1:

[1475] Users use their smartphone cameras to scan the QR codes on the groceries they purchased.

[1476] Specific action: The user scans the QR code for "milk" with their camera.

[1477] Step 2:

[1478] The device decodes the information in the QR code.

[1479] Input: QR code information

[1480] Output: Decoded ingredient information

[1481] Specific action: The device decodes the information "Milk, Best before date October 10, 2023".

[1482] Step 3:

[1483] The terminal decodes the food information and expiration date information and sends it to the server.

[1484] Input: Decoded food information and expiration date information

[1485] Output: Sending a request to the server

[1486] Specific action: The device sends the information "Milk, Expiration Date October 10, 2023" to the server.

[1487] Step 4:

[1488] The server saves the received information to the database.

[1489] Input: Ingredient information and expiration date information

[1490] Output: Database save complete status

[1491] Specific action: The server saves the information "Milk, Best before date October 10, 2023" to the database.

[1492] Step 5:

[1493] The server periodically checks the database to find ingredients that are nearing their expiration date.

[1494] Input: Database information

[1495] Output: List of ingredients nearing their expiration date

[1496] Specific operation: The server periodically scans the database to find ingredients that are nearing their expiration date.

[1497] Step 6:

[1498] The server generates a notification about the relevant ingredient and sends it to the device.

[1499] Input: List of ingredients nearing their expiration date

[1500] Output: Notification message

[1501] Specific action: The server generates a notification such as "The expiration date of the milk is approaching."

[1502] Step 7:

[1503] Users check notifications on their devices and understand the expiration date.

[1504] Specific action: The user checks the notification on their device and understands the expiration date.

[1505] Examples of input prompts for a generative AI model

[1506] "Please suggest a simple chicken and broccoli recipe for users with nut allergies. Users are tired, so they would prefer a recipe with a short cooking time."

[1507] "Please suggest a special day recipe for a user who is expressing joy. The ingredients are chicken and broccoli."

[1508] (Application Example 2)

[1509] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1510] Traditional ingredient management and recipe suggestion systems lack sufficient personalization features based on user emotions and preferences, making it difficult for users to easily find the optimal recipe. Furthermore, the lack of notification functions for ingredients nearing their expiration date can lead to food waste. There is a need for a system that solves these problems and provides a more user-friendly and personalized cooking experience.

[1511] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for recognizing the user's emotions and displaying personalized recipes based on those emotions, means for receiving account information entered by the user, means for storing the account information in a database, and means for decoding QR code information read by the user. This not only enables the suggestion of appropriate recipes according to the user's emotions and preferences, but also provides a notification function based on expiration dates, thereby reducing food waste.

[1512] A "user" is an individual or legal entity that uses the system.

[1513] "Account information" refers to information used to identify a user and access the system. Specifically, this includes things like email addresses and passwords.

[1514] "Ingredient information" refers to information about the types and quantities of ingredients used by the user.

[1515] "Allergen information" refers to information about allergens that users should avoid.

[1516] A "recipe" is a document that lists the steps and ingredients needed to prepare a specific dish.

[1517] "QR code information" refers to all information encoded in a QR code. Specifically, this includes things like the name of the food item and its expiration date.

[1518] "Expiration date information" refers to information regarding the expiration date of food products.

[1519] An "emotion engine" refers to software or hardware used to analyze and recognize a user's emotions.

[1520] "Personalization" means optimizing content to suit each user's individual preferences and circumstances.

[1521] A "notification" is a message used to convey important information to a user. For example, it could be a warning message about food that is nearing its expiration date.

[1522] "Personalizing recipes" means adjusting the content and display order of recipes based on the user's emotions, ingredient information, and allergen information.

[1523] This invention is a system that manages user account information, suggests appropriate recipes based on ingredient and allergen information, and manages ingredients using QR codes. By combining this system with an emotion engine that recognizes user emotions, it enables personalized recipe suggestions based on the user's feelings.

[1524] Hardware and software configuration

[1525] Hardware:

[1526] Smartphone or tablet: Equipped with a camera used for QR code scanning and emotion recognition.

[1527] Server: Performs data processing and storage. The hardware configuration typically uses standard server equipment.

[1528] software:

[1529] Operating system: Mobile operating systems such as Android and iOS.

[1530] QR code scanner: Uses libraries such as OpenCV.

[1531] Emotion recognition engine: EmotionRecognizer (virtual library).

[1532] Database: MySQL, NoSQL, etc.

[1533] hashing library: hashlib (Python).

[1534] System Operation Description

[1535] User registration and authentication:

[1536] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The device sends this information to the server, which hashes the received password using hashlib and stores the account information in a database. When the user logs in again, they enter their email address and password again, and the authentication process is performed.

[1537] Recipe suggestions and personalization:

[1538] The user enters ingredient and allergen information on their device. The device sends this information to a server, which analyzes the provided data. The server searches the database for appropriate recipes based on the user's ingredient and allergen information and sends the results to the device. During this process, EmotionRecognizer analyzes the user's emotions, and recipes are prioritized based on those emotions.

[1539] Integrating an emotion engine:

[1540] When a user expresses an emotion to the device through a voice input device or camera, the emotion engine analyzes this data. The server receives the analysis results and changes the display order and content of recipes according to the user's emotion. For example, if a user inputs "chicken" and "broccoli" as ingredients and provides "nut allergy" as allergen information, the server will search for recipes such as "garlic stir-fried chicken and broccoli" based on this information, and if the user's emotion is "joy," it will suggest a recipe such as "roasted chicken and broccoli, perfect for a special occasion."

[1541] QR code integration and ingredient management:

[1542] The user scans the QR code of the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information in a database. The stored expiration date information is checked periodically, and if any food items are nearing their expiration date, a notification is sent to the user. For example, if a user scans the QR code for "milk," the device decodes it and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in the database and generates a notification when the expiration date is approaching, displaying "The expiration date of your milk is approaching" on the device.

[1543] Examples of prompt statements

[1544] Use the following prompts for the generative AI model:

[1545] "Please provide a concrete implementation example of a food delivery app that includes user registration, QR code scanning, and emotion recognition. Implement a function that retrieves ingredient information from the QR code and suggests recipes based on emotion recognition."

[1546] This enables the suggestion of optimal recipes tailored to the user's emotions and preferences, and also facilitates smooth food management based on expiration dates.

[1547] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1548] Step 1:

[1549] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The entered account information (email address and password) is sent from the device to the server.

[1550] The server receives this information, hashes the password using the hashlib library, and stores the user's account information in the database. This enables secure user account management.

[1551] Input: User's entered email address and password

[1552] Data processing: Password hashing

[1553] Output: Account information stored in the database

[1554] Step 2:

[1555] The user enters ingredient and allergen information on their device. This information is then sent from the device to the server.

[1556] The server analyzes ingredient and allergen information and searches the database for relevant recipes. The search results are then sent to the terminal, displaying the most suitable recipe to the user.

[1557] Input: User-entered food ingredient information and allergen information

[1558] Data processing: Analysis of input information, recipe search.

[1559] Output: Recipe suggestions displayed on the terminal

[1560] Step 3:

[1561] The user scans the QR code on the purchased groceries using their smartphone camera. The device decodes the QR code information and sends it to the server.

[1562] The server stores ingredient information and expiration date information obtained from QR codes in a database. This allows for efficient expiration date management.

[1563] Input: QR code information

[1564] Data processing: Decoding QR code information

[1565] Output: Food ingredient and expiration date information stored in the database

[1566] Step 4:

[1567] The server periodically checks the database to see if any food items are nearing their expiration date. If so, it generates a notification and sends it to the device.

[1568] The device displays a notification stating, "AA's expiration date is approaching." This allows users to manage their food ingredients efficiently.

[1569] Input: Database expiration date information

[1570] Data processing: Expiration date check, notification generation.

[1571] Output: Notification sent to the device

[1572] Step 5:

[1573] Users express their emotions through their smartphone's camera or voice input device. The device collects emotion data and analyzes it using the EmotionRecognizer library. Then, it sends the emotion data to a server.

[1574] The server receives emotional data and adjusts the priority and content of recipes accordingly. If the emotional state is "tired," it suggests simple recipes; if the emotional state is "joyful," it suggests recipes for special occasions.

[1575] Input: User sentiment data (voice and images)

[1576] Data processing: Emotion analysis, recipe resetting

[1577] Output: Personalized recipes displayed on the device

[1578] Through each of the steps described above, it becomes possible to suggest optimal recipes tailored to the user's emotions and preferences, and to efficiently manage expiration dates. This system allows users to enjoy a more personalized and efficient cooking experience.

[1579] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1580] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1581] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[1582] [Fourth Embodiment]

[1583] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1584] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1585] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1586] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[1587] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1588] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1589] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1590] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[1591] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1592] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1593] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1594] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1595] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1596] This invention is a system that supports recipe suggestions and ingredient management based on user preferences and allergen information. The system consists of a user terminal, a server, and a device with a QR code reader function. This system allows users to efficiently manage ingredients and easily find recipes tailored to their individual preferences.

[1597] User registration and authentication

[1598] Users create accounts using their devices. The user enters their email address and password on the device and clicks the "Register" button. The device sends this information to the server. The server hashes the received password and stores it in a database. This ensures the secure management of the user's account information. For authentication, the user enters their email address and password on the device, and the server verifies this information.

[1599] Recipe suggestions and personalization

[1600] The user enters ingredient and allergen information using a terminal. The terminal sends this information to a server. The server analyzes the provided information and searches its database for recipes that match the user's preferences. These recipes are sent to the terminal and displayed to the user. This allows users to easily find recipes that suit their preferences and dietary restrictions.

[1601] Specific example

[1602] The user enters "chicken" and "broccoli" as the main ingredients and provides "nut allergy" as allergen information. Based on this information, the server searches for recipes such as "garlic stir-fried chicken and broccoli" and displays them on the device as personalized recipes.

[1603] QR code integration and food ingredient management

[1604] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information obtained from the QR code in a database. The server periodically checks the database and sends a notification to the user if any food items are nearing their expiration date. This allows users to consume food properly and avoid waste.

[1605] Specific example

[1606] The user scans the QR code on the "milk" container. The device decodes the QR code and sends the information "Milk, Expiration Date October 10, 2023" to the server. The server stores this information in a database and sends a notification to the device saying "The expiration date of your milk is approaching" when the expiration date is nearing. The device displays this to the user, preventing unnecessary waste.

[1607] In this way, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience.

[1608] The following describes the processing flow.

[1609] User registration and authentication processing steps

[1610] Step 1:

[1611] The user enters their email address and password into the account creation form on their device.

[1612] Step 2:

[1613] The device sends the entered email address and password to the server.

[1614] Step 3:

[1615] The server hashes the password it receives.

[1616] Step 4:

[1617] The server stores hashed passwords and email addresses in a database.

[1618] Step 5:

[1619] The server sends a registration success response to the terminal.

[1620] Step 6:

[1621] The device displays the message "Your account has been created" to the user.

[1622] Recipe suggestion and personalization processing steps

[1623] Step 1:

[1624] The user enters ingredient information and allergen information on their device.

[1625] Step 2:

[1626] The terminal sends the entered food ingredient information and allergen information to the server.

[1627] Step 3:

[1628] The server analyzes the received information to determine the user's preferences and allergy restrictions.

[1629] Step 4:

[1630] The server searches the database for recipes that match the specified criteria.

[1631] Step 5:

[1632] The server sends the search results and recipes to the device.

[1633] Step 6:

[1634] The device displays the sent recipe to the user.

[1635] QR code integration and food ingredient management processing steps

[1636] Step 1:

[1637] The user scans the QR code on the purchased food item with their smartphone camera.

[1638] Step 2:

[1639] The device decodes the information in the QR code.

[1640] Step 3:

[1641] The terminal sends the decoded food information and expiration date information to the server.

[1642] Step 4:

[1643] The server saves the received food information and expiration date information to a database.

[1644] Step 5:

[1645] The server periodically checks the database to see if there are any ingredients nearing their expiration date.

[1646] Step 6:

[1647] The server sends a notification to the user if there are any ingredients nearing their expiration date.

[1648] Step 7:

[1649] The device displays an alert to the user saying, "AA's expiration date is approaching."

[1650] This allows users to efficiently manage ingredients and select recipes.

[1651] (Example 1)

[1652] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1653] Currently, systems exist on the market that offer recipe suggestions and ingredient management based on user preferences and allergen information. However, these systems are often complex for users and fail to provide sufficiently personalized suggestions. Furthermore, there are limited means of efficiently managing ingredients nearing their expiration date and reducing waste. In addition, recipe suggestions based on prompts generated by AI models are not being fully utilized. Therefore, there is a need for a system that allows users to efficiently and easily manage ingredients and obtain personalized recipes.

[1654] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1655] In this invention, the server includes means for receiving account information entered by the user, means for storing the account information in a database, means for receiving ingredient information and allergen information entered by the user, means for searching for and displaying recipes based on the ingredient information and allergen information, means for decoding QR code information read by the user, means for storing ingredient information and expiration date information contained in the QR code information in a database, means for periodically checking the stored expiration date information and sending a notification to the user when the expiration date is approaching, means for securely managing the user's account information and ingredient management information, means for displaying suggested recipes on the terminal according to the user's preferences, and means for making recipe suggestions based on prompt sentences using a generation AI model. As a result, the user can easily and efficiently manage ingredients and obtain personalized recipes.

[1656] A "user" is an individual who uses the system to input account information, ingredient information, and allergen information, and receives recipe suggestions and ingredient management notifications.

[1657] A "server" is a device or software that processes and stores various information received from users, and provides recipe suggestions and ingredient management notifications.

[1658] "Account information" refers to authentication information such as email addresses and passwords that users provide to use the system.

[1659] A "database" is a data storage system used to accumulate and manage account information, ingredient information, allergen information, and QR code information.

[1660] "Ingredient information" refers to data such as the type and quantity of ingredients that users input into the system.

[1661] "Allergen information" refers to data about foods that may cause allergies, which users input into the system.

[1662] A "recipe" is information that shows how to prepare a dish, suggested to the user.

[1663] "QR code information" refers to data about food ingredients obtained by scanning a QR code.

[1664] "Expiration date information" refers to data regarding the expiration date of food products.

[1665] A "generative AI model" is an artificial intelligence model that suggests recipes based on the input prompt text.

[1666] A "prompt message" is text data that represents a user's request or question, which is input into a generative AI model.

[1667]

[1668] This invention is a system that supports recipe suggestions and ingredient management based on user preferences and allergen information. The system consists of a user terminal, a server, and a device with a QR code reader function.

[1669] User registration and authentication

[1670] Users create accounts using their devices. They enter their email address and password on the device and click the "Register" button. The device sends this information to the server. The server hashes the received password and stores the hashed password and email address in a database. This ensures that the user's account information is managed securely. During authentication, the server also verifies and matches the email address and password entered by the user.

[1671] Recipe suggestions and personalization

[1672] The user uses a terminal to input information about ingredients and allergens. For example, the user might input "chicken" and "broccoli" as the main ingredients and provide "nut allergy" as allergen information. The terminal sends the information entered by the user to the server. The server analyzes the provided information and searches the database for recipes that match the user's preferences. This uses a generative AI model. The server sends the suitable recipe to the terminal, which then displays it to the user.

[1673] As a concrete example, a generative AI model can be used based on the following prompt:

[1674] "I currently have chicken and broccoli. I have a nut allergy. Could you please provide some recipes that use these ingredients?"

[1675] QR code integration and food ingredient management

[1676] The user scans the QR code on the purchased food item with their smartphone camera. For example, suppose the user scans the QR code for "milk." The device decodes the information from the QR code and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in its database.

[1677] The server periodically checks the database and sends notifications to users if any food items are nearing their expiration date. For example, when an expiration date is approaching, a notification such as "The expiration date of your milk is approaching" is sent to the device, which then displays this to the user. This allows users to consume food properly and avoid waste.

[1678] As described above, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience.

[1679] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1680] Step 1: Register an account

[1681] 1. User:

[1682] The user opens the "New Registration" screen on their device, enters their email address and password, and clicks the "Register" button.

[1683] Input: Email address (e.g., example@example.com) and password (e.g., password123)

[1684] 2. Terminal:

[1685] The terminal receives the entered email address and password and sends that data to the server.

[1686] Output: Email address and password to send to the server

[1687] 3. Server:

[1688] The server hashes the received password and stores the hashed password and email address in the database.

[1689] Hashing is performed to enhance security.

[1690] Input: Email address and password received from the device.

[1691] Output: Hashed passwords and email addresses are saved to the database.

[1692] Step 2: User Authentication

[1693] 1. User:

[1694] The user enters their email address and password on the login screen and clicks the "Login" button.

[1695] Input: Login email address and password

[1696] 2. Terminal:

[1697] The terminal receives the entered email address and password and sends that data to the server.

[1698] Output: Login email address and password to be sent to the server

[1699] 3. Server:

[1700] The server retrieves the corresponding hashed password from the database and compares it to the entered password.

[1701] If the matching is successful, an authentication success message is sent to the device; otherwise, an authentication failure message is sent.

[1702] Input: Login email address and password received from your device

[1703] Output: Send authentication result to the terminal

[1704] Step 3: Enter ingredient information and allergen information.

[1705] 1. User:

[1706] The user enters ingredient information and allergen information on their device.

[1707] Input: Food information (e.g., chicken, broccoli) and allergen information (e.g., nut allergy)

[1708] 2. Terminal:

[1709] The terminal receives the entered food ingredient information and allergen information and sends that data to the server.

[1710] Output: Food ingredient information and allergen information to be sent to the server

[1711] Step 4: Recipe suggestion

[1712] 1. Server:

[1713] The server searches its database based on the received ingredient and allergen information and retrieves a suitable recipe.

[1714] If necessary, a generative AI model will be used to suggest recipes based on the prompt text.

[1715] Input: Food ingredient information and allergen information received from the device.

[1716] Output: Search results or recipes generated from the AI ​​model

[1717] 2. Server:

[1718] The server sends a suitable recipe to the terminal.

[1719] Input: Suitable recipe

[1720] Output: Recipe to send to the terminal

[1721] 3. Terminal:

[1722] The device displays the received recipe to the user.

[1723] Input: Recipe received from the server

[1724] Output: Displayed recipe

[1725] Step 5: Scan the QR code information

[1726] 1. User:

[1727] The user scans the QR code on the purchased groceries with their smartphone camera.

[1728] Input: QR code information (Example: Milk, Expiration Date: October 10, 2023)

[1729] 2. Terminal:

[1730] The device decodes the information in the QR code and sends that data to the server.

[1731] Output: QR code information to send to the server

[1732] Step 6: Managing ingredient information and expiration dates

[1733] 1. Server:

[1734] The server saves the received QR code information to its database.

[1735] Input: QR code information received from the device

[1736] Output: Food ingredient information and expiration date information stored in the database

[1737] 2. Server:

[1738] The server periodically checks the database to see if there are any ingredients nearing their expiration date.

[1739] Input: Food ingredient information and expiration date information from the database

[1740] Output: List of food items nearing their expiration date

[1741] 3. Server:

[1742] When the expiration date approaches, the server sends a notification to the user.

[1743] Input: Information about food items nearing their expiration date.

[1744] Output: Send notification message to the device

[1745] 4. Device:

[1746] The device displays the received notification to the user.

[1747] Input: Notification message received from the server

[1748] Output: Notification message displayed to the user

[1749] (Application Example 1)

[1750] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1751] In modern eating habits, users need to efficiently manage their ingredients and easily find recipes that suit their individual preferences. Reducing food waste, especially while considering allergen information and expiration dates, is particularly important. However, existing systems struggle to meet these requirements. Furthermore, there are no systems that integrate with food delivery services for managing expiration dates and reordering.

[1752] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1753] In this invention, the server includes means for receiving account information entered by the user, means for receiving ingredient information and allergen information entered by the user, and means for decoding QR code information read by the user. This makes it possible to generate personalized recipes based on the user's past order history and allergen information, and to provide the option to reorder ingredients when their expiration date is approaching.

[1754] "Account information" refers to personal and authentication information that a user provides to register with the system, and typically includes an email address and password.

[1755] "Food ingredient information" refers to detailed information about food ingredients that the user owns or purchases, including name, quantity, and expiration date.

[1756] "Allergen information" refers to information about allergens that users should avoid consuming, and specifically includes allergen lists such as nuts, dairy products, and eggs.

[1757] "QR code information" refers to data in a two-dimensional barcode that encodes information about food ingredients, including the name of the ingredient and its expiration date.

[1758] A "generative AI model" is a model that uses artificial intelligence to generate useful information from data, and in this invention, it is mainly used for recipe suggestions.

[1759] A "prompt" is text data input to a generative AI model, containing instructions for the model to generate a specific output.

[1760] A "database" refers to an information system used to systematically store large amounts of data and to efficiently access and manage it.

[1761] "Stored expiration date information" refers to information about the expiration dates of food ingredients stored in a database, and is used to manage the expiration dates of food ingredients.

[1762] The "reorder option" refers to a feature that provides users with the option to automatically reorder food items that are nearing their expiration date.

[1763] A "personalized recipe" is a recipe customized based on the user's preferences and allergen information, aiming to suggest the most suitable dishes for each individual.

[1764] This invention is a system that supports recipe suggestions and ingredient management based on user preferences and allergen information. The system consists of a user terminal, a server, and a device with a QR code reader function. This system allows users to efficiently manage ingredients and easily find recipes tailored to their individual preferences.

[1765] User registration and authentication

[1766] Users create accounts using their devices. They enter their email address and password on their devices and click the "Register" button. The device sends this information to the server. The server hashes the received password and stores it in a database. This ensures the secure management of the user's account information. For authentication, the user enters their email address and password on their device, and the server verifies this information.

[1767] Recipe suggestions and personalization

[1768] The user enters ingredient and allergen information using a terminal. The terminal sends this information to a server. The server analyzes the provided information and uses a generative AI model to search its database for recipes that match the user's preferences. These recipes are sent to the terminal and displayed to the user. This allows users to easily find recipes that suit their preferences and restrictions.

[1769] Specific example

[1770] The user inputs "chicken" and "broccoli" as the main ingredients and provides "nut allergy" as allergen information. Based on this information, the server uses a generation AI model to display personalized recipes on the device, such as "Garlic Stir-fried Chicken and Broccoli." The generation AI model used in this process is prompted with the following text:

[1771] Based on the user's ingredients "chicken" and "broccoli," and allergen "nuts," generate an allergen-free recipe.

[1772] QR code integration and food ingredient management

[1773] Users scan the QR code on purchased groceries with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the grocery information and expiration date information obtained from the QR code in a database. The server periodically checks the database and notifies the user if any groceries are nearing their expiration date. Furthermore, it offers the option to automatically reorder groceries if the user requests it.

[1774] Specific example

[1775] The user scans the QR code on the "milk" package. The device decodes the QR code and sends the information "Milk, Expiration Date October 10, 2023" to the server. The server stores this information in a database and sends a notification to the device when the expiration date approaches, such as "Your milk is nearing its expiration date. Would you like to order more?" The user receives the notification and can choose the reorder option to prevent unnecessary waste.

[1776] In this way, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience. The hardware used is a smartphone (iOS or Android), and the software includes Firebase Authentication, a QR code reader library (e.g., Zxing), AWS Lambda, DynamoDB, and a generative AI model (e.g., OpenAI GPT-4).

[1777] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1778] Step 1:

[1779] The user creates an account using their device. The user enters their email address and password and clicks the "Register" button. The device sends this information to the server. The server hashes the received password and stores it in a database. The input for this step is the user's "email address" and "password," and the output is the database entry where the hashed password is stored.

[1780] Step 2:

[1781] The user logs in using a device. The user enters their email address and password, which the device sends to the server. The server compares the received password with a hashed password stored in the database and authenticates if they match. The input for this step is the user's "email address" and "password," and the output is a message indicating authentication success or failure.

[1782] Step 3:

[1783] The user enters ingredient and allergen information using a terminal. The terminal sends this information to the server. The server stores the user's input information in a database and searches for recipes based on the provided ingredient and allergen information. The input for this step is "ingredient information" and "allergen information," and the output is the information stored in the database and prompts for the generating AI model.

[1784] Step 4:

[1785] The server uses a generative AI model to search the database for recipes that match the user's preferences. It sends prompts to the generative AI model, which then generates recipes based on the user's input. These prompts might take the following form:

[1786] Based on the user's ingredients "chicken" and "broccoli," and allergen "nuts," generate an allergen-free recipe.

[1787] The input for this step is a prompt based on ingredient and allergen information, and the output is the generated recipe.

[1788] Step 5:

[1789] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information obtained from the QR code in a database. The input for this step is "QR code information," and the output is "food item information" and "expiration date information" stored in the database.

[1790] Step 6:

[1791] The server periodically checks the stored expiration date information. If any food items are nearing their expiration date, the server sends a notification to the user to ensure they are consumed properly to prevent waste. The input for this step is "expiration date information," and the output is a "notification message" informing the user that the expiration date is approaching.

[1792] Step 7:

[1793] When the expiration date approaches, the server offers the user the option to reorder the ingredients. The notification message includes the reorder option, and if the user selects to reorder, the terminal sends new order information to the server. The input for this step is "Reorder Selection," and the output is the new "Order Information."

[1794] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1795] This invention is a system that manages user account information, suggests appropriate recipes based on ingredient and allergen information, and manages ingredients using QR codes. By combining this system with an emotion engine that recognizes user emotions, it enables personalized recipe suggestions based on the user's feelings.

[1796] User registration and authentication

[1797] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The device sends this information to the server, which hashes the received password and stores it in a database. This ensures that the user's account information is securely managed. Similarly, the user enters their email address and password on their device and goes through an authentication process.

[1798] Recipe suggestions and personalization

[1799] The user enters ingredient and allergen information on a terminal. The terminal sends this information to a server, which analyzes the provided information. The server searches the database for recipes that match the user's preferences and restrictions, and sends the results to the terminal. The displayed recipes are tailored to the user's individual needs.

[1800] Embedding an emotion engine

[1801] This system includes an emotion engine that recognizes the user's emotions. When the user expresses their emotions to the terminal through a voice input device or camera, the emotion engine analyzes this data. The server receives the analysis results and changes the display order and content of recipes according to the user's emotions. For example, if the user is tired, the system will prioritize displaying recipes that are easy and quick to prepare.

[1802] Specific example

[1803] The user inputs ingredients such as "chicken" and "broccoli" and provides "nut allergy" as allergen information. Based on this information, the server searches for recipes such as "garlic stir-fried chicken and broccoli" and prioritizes them according to the user's mood. For example, if the user indicates a happy mood, the server might suggest a recipe like "roasted chicken and broccoli, perfect for a special occasion."

[1804] QR code integration and food ingredient management

[1805] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information in a database. The server periodically checks the database and sends a notification to the user if any food items are nearing their expiration date.

[1806] Specific example

[1807] When a user scans the QR code for "milk," the device decodes it and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in a database and generates a notification when the expiration date approaches, sending it to the device. This notification, which displays to the user "Your milk is about to expire," helps to prevent food waste.

[1808] Thus, the present invention is designed to allow users to enjoy an efficient and personalized cooking experience, and the combination of emotion engines can provide an even more advanced user experience.

[1809] The following describes the processing flow.

[1810] User registration and authentication processing steps

[1811] Step 1:

[1812] The user enters their email address and password into the account creation form on their device.

[1813] Step 2:

[1814] The device sends the entered email address and password to the server.

[1815] Step 3:

[1816] The server hashes the password it receives.

[1817] Step 4:

[1818] The server stores hashed passwords and email addresses in a database.

[1819] Step 5:

[1820] The server sends a registration success response to the terminal.

[1821] Step 6:

[1822] The device displays the message "Your account has been created" to the user.

[1823] Recipe suggestion and personalization processing steps

[1824] Step 1:

[1825] The user enters ingredient information and allergen information on their device.

[1826] Step 2:

[1827] The terminal sends the entered food ingredient information and allergen information to the server.

[1828] Step 3:

[1829] The server analyzes the received information to determine the user's preferences and allergy restrictions.

[1830] Step 4:

[1831] The server searches the database for recipes that match the specified criteria.

[1832] Step 5:

[1833] The server sends the search results and recipes to the device.

[1834] Step 6:

[1835] The device displays the sent recipe to the user.

[1836] Processing steps involving the integration of an emotion engine

[1837] Step 1:

[1838] Users express their emotions through the device's microphone and camera.

[1839] Step 2:

[1840] The device records voice input and facial expressions and sends them to the emotion engine.

[1841] Step 3:

[1842] The emotion engine analyzes the user's emotions.

[1843] Step 4:

[1844] The emotion engine sends the analysis results to the server.

[1845] Step 5:

[1846] The server adjusts recipe search conditions based on emotion analysis results, ingredient information, and allergen information.

[1847] Step 6:

[1848] The server generates personalized recipes based on the user's emotions and sends them to the device.

[1849] Step 7:

[1850] The device displays recipes tailored to the user's emotions.

[1851] QR code integration and food ingredient management processing steps

[1852] Step 1:

[1853] The user scans the QR code on the purchased food item with their smartphone camera.

[1854] Step 2:

[1855] The device decodes the information in the QR code.

[1856] Step 3:

[1857] The terminal sends the decoded food information and expiration date information to the server.

[1858] Step 4:

[1859] The server saves the received food information and expiration date information to a database.

[1860] Step 5:

[1861] The server periodically checks the database to see if there are any ingredients nearing their expiration date.

[1862] Step 6:

[1863] The server sends a notification to the user if there are any ingredients nearing their expiration date.

[1864] Step 7:

[1865] The device displays an alert to the user saying, "AA's expiration date is approaching."

[1866] This will allow users to have a personalized cooking experience and efficiently manage their ingredients.

[1867] (Example 2)

[1868] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1869] While conventional recipe suggestion systems can provide recipes based on users' ingredient and allergen information, they cannot adequately address users' emotions or individual needs. Furthermore, they lack features for managing ingredients, such as notifying users of ingredients nearing their expiration date and ensuring their consumption is efficient and avoids waste.

[1870] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1871] In this invention, the server includes means for receiving account information entered by the user, means for storing the account information in a database, means for receiving ingredient information and allergen information entered by the user, means for searching for and displaying recipes based on the ingredient information and allergen information, means for decoding code information read by the user, means for storing ingredient information and expiration date information contained in the code information in a database, means for periodically checking the stored expiration date information and sending a notification to the user when the expiration date is approaching, means for recognizing the user's emotions, and means for changing the display order and content of recipes based on the emotions. This enables personalized recipe suggestions based on the user's emotions and individual needs, as well as efficient management that reduces food waste.

[1872] "Account information" refers to information such as email addresses and passwords used for user authentication and personal settings.

[1873] A "database" is an information management system for efficiently managing, searching, and updating large amounts of information.

[1874] "Ingredient information" refers to detailed information about the ingredients that the user plans to use.

[1875] "Allergen information" refers to information about specific substances that a user is allergic to.

[1876] A "recipe" is information about cooking methods that specifically details how to use ingredients and the steps involved.

[1877] "Code information" refers to machine-readable information such as QR codes and barcodes.

[1878] "Expiration date information" refers to information regarding the expiration date or best-before date of food ingredients or products.

[1879] "Emotions" refer to data that indicates the user's psychological state or mood.

[1880] An "emotion engine" is a system that analyzes a user's emotions from their visual and auditory data.

[1881] "Notifications" are a means of informing users of important information or messages.

[1882] A "server" is a computer system that processes data in response to user requests via a network.

[1883] A "terminal" is a device that a user directly operates, used for data input and display of results.

[1884] This invention is a system that manages user account information, suggests appropriate recipes based on ingredient and allergen information, and manages ingredients using QR codes. This system includes a function that enables personalized recipe suggestions based on the user's emotions by incorporating an emotion engine that recognizes the user's emotions.

[1885] User registration and authentication

[1886] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The device sends this information to the server, which hashes the received password and stores it in a database. This ensures that the user's account information is securely managed. Similarly, the user enters their email address and password on their device and goes through an authentication process.

[1887] Recipe suggestions and personalization

[1888] The user enters ingredient and allergen information on a terminal. The terminal sends this information to a server, which analyzes the provided information. The server searches the database for recipes that match the user's preferences and restrictions, and sends the results to the terminal. The displayed recipes are tailored to the user's individual needs.

[1889] Embedding an emotion engine

[1890] This system includes an emotion engine that recognizes the user's emotions. When the user expresses their emotions to the terminal through a voice input device or camera, the emotion engine analyzes this data. The server receives the analysis results and changes the display order and content of recipes according to the user's emotions. For example, if the user is tired, the system will prioritize displaying recipes that are easy and quick to prepare.

[1891] For example, a user might input "chicken" and "broccoli" as ingredients and provide "nut allergy" as allergen information. If the user indicates they are feeling tired, the server will use this information to suggest a simple recipe, such as "Easy Chicken and Broccoli Stir-fry." Conversely, if the user indicates they are feeling happy, the server will suggest a recipe like "Roasted Chicken and Broccoli, Perfect for a Special Occasion."

[1892] QR code integration and food ingredient management

[1893] The user scans the QR code on the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information in a database. The server periodically checks the database and sends a notification to the user if any food items are nearing their expiration date.

[1894] As a concrete example, when a user scans a QR code for "milk," the device decodes it and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in a database and generates a notification when the expiration date approaches, sending it to the device. This notification displays to the user, "The expiration date of your milk is approaching," allowing them to consume food without waste.

[1895] Examples of input prompts for a generative AI model

[1896] "Please suggest a simple chicken and broccoli recipe for users with nut allergies. Users are tired, so they would prefer a recipe with a short cooking time."

[1897] "Please suggest a special day recipe for a user who is expressing joy. The ingredients are chicken and broccoli."

[1898] As described above, this system provides users with an efficient and satisfying cooking experience by offering personalized recipe suggestions based on their emotions and providing an ingredient management function using QR codes.

[1899] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1900] System program processing flow

[1901] User registration and authentication

[1902] Step 1:

[1903] The user enters their email address and password into the account creation form on their device and clicks the "Register" button.

[1904] Specific action: The user enters "email@example.com" and "password123" into the form.

[1905] Step 2:

[1906] The terminal sends the entered information to the server.

[1907] Enter: Email address and password

[1908] Output: Sending a request to the server

[1909] Specific action: When the form's submit button is clicked, the device sends "email@example.com" and "password123" to the server.

[1910] Step 3:

[1911] The server hashes the received password and stores it in the database along with the email address.

[1912] Input: Email address and hashed password

[1913] Output: Database save complete status

[1914] Specific operation: The server converts "password123" into a "hash value" and saves it in the database along with "email@example.com".

[1915] Step 4:

[1916] The server sends a message to the device indicating that account creation is complete.

[1917] Input: Database save complete status

[1918] Output: Sending a message to the terminal

[1919] Specific action: The server sends a "Registration complete" message to the terminal.

[1920] Step 5:

[1921] The user checks the confirmation message on their device.

[1922] Specific action: The user confirms the "Registration Complete" message on their device screen.

[1923] Step 6:

[1924] The user enters their email address and password on the device's login screen.

[1925] Specific action: The user enters "email@example.com" and "password123" into the login form.

[1926] Step 7:

[1927] The terminal sends the entered information to the server.

[1928] Enter: Email address and password

[1929] Output: Sending a request to the server

[1930] Specific action: The user clicks the "Login" button, and the device sends "email@example.com" and "password123" to the server.

[1931] Step 8:

[1932] The server compares the password against the hashed password in the database.

[1933] Input: Email address and hashed password

[1934] Output: Matching result

[1935] Specific operation: The server compares the hashed password of "email@example.com" in the database with the hashed value of the entered password.

[1936] Step 9:

[1937] If the matching results are successful, the server returns an authentication success message to the terminal.

[1938] Input: Matching result

[1939] Output: Authentication success message

[1940] Specific action: The server sends a "Authentication successful" message to the terminal.

[1941] Step 10:

[1942] The user checks the screen after logging in on their device.

[1943] Specific action: The user checks the screen on their device after logging in.

[1944] Recipe suggestions and personalization

[1945] Step 1:

[1946] The user enters information about ingredients and allergens on their device.

[1947] Specific action: The user enters "chicken" and "broccoli" into the form, and "nut allergy" as allergen information.

[1948] Step 2:

[1949] The device sends this information to the server.

[1950] Input: Food ingredient information and allergen information

[1951] Output: Sending a request to the server

[1952] Specific action: The device sends "chicken," "broccoli," and "nut allergy" information to the server.

[1953] Step 3:

[1954] The server analyzes the received information and searches for recipes based on the user's preferences and constraints.

[1955] Input: Food ingredient information and allergen information

[1956] Output: Recipe list

[1957] Specific operation: The server searches the database for recipes that match the criteria "chicken," "broccoli," and "nut allergy."

[1958] Step 4:

[1959] The server sends the generated recipe list to the terminal.

[1960] Input: Recipe list

[1961] Output: Sending a request to the terminal

[1962] Specific operation: The server sends a list of recipes, such as "Garlic Stir-fried Chicken and Broccoli," to the terminal.

[1963] Step 5:

[1964] The user checks the suggested recipes on their device.

[1965] Specific action: The user checks the list of suggested recipes on their device.

[1966] Embedding an emotion engine

[1967] Step 1:

[1968] Users express their emotions to the device through voice input devices and cameras.

[1969] Specific action: The user smiles through the camera.

[1970] Step 2:

[1971] The device sends emotional data to the emotion engine, which then begins analysis.

[1972] Input: Sentiment data

[1973] Output: Analysis results

[1974] Specific operation: The device sends emotion data to the emotion engine, which then analyzes it.

[1975] Step 3:

[1976] The emotion engine sends the analysis results to the server.

[1977] Input: Analysis results

[1978] Output: Sending a request to the server

[1979] Specific operation: The emotion engine sends the "joy" result to the server.

[1980] Step 4:

[1981] The server re-evaluates the recipe list based on the analysis results and changes the display order and content.

[1982] Input: Analysis results

[1983] Output: Updated recipe list

[1984] Specific action: Based on the user's "joy" level, the server prioritizes displaying the special day recipe "Roasted Chicken and Broccoli".

[1985] Step 5:

[1986] The server sends the updated recipe list to the terminal.

[1987] Input: Updated recipe list

[1988] Output: Sending a request to the terminal

[1989] Specific action: The server sends the updated recipe list to the terminal.

[1990] Step 6:

[1991] The user checks the updated recipe list on their device.

[1992] Specific action: The user checks the updated recipe list on their device.

[1993] QR code integration and food ingredient management

[1994] Step 1:

[1995] Users use their smartphone cameras to scan the QR codes on the groceries they purchased.

[1996] Specific action: The user scans the QR code for "milk" with their camera.

[1997] Step 2:

[1998] The device decodes the information in the QR code.

[1999] Input: QR code information

[2000] Output: Decoded ingredient information

[2001] Specific action: The device decodes the information "Milk, Best before date October 10, 2023".

[2002] Step 3:

[2003] The terminal decodes the food information and expiration date information and sends it to the server.

[2004] Input: Decoded food information and expiration date information

[2005] Output: Sending a request to the server

[2006] Specific action: The device sends the information "Milk, Expiration Date October 10, 2023" to the server.

[2007] Step 4:

[2008] The server saves the received information to the database.

[2009] Input: Ingredient information and expiration date information

[2010] Output: Database save complete status

[2011] Specific action: The server saves the information "Milk, Best before date October 10, 2023" to the database.

[2012] Step 5:

[2013] The server periodically checks the database to find ingredients that are nearing their expiration date.

[2014] Input: Database information

[2015] Output: List of ingredients nearing their expiration date

[2016] Specific operation: The server periodically scans the database to find ingredients that are nearing their expiration date.

[2017] Step 6:

[2018] The server generates a notification about the relevant ingredient and sends it to the device.

[2019] Input: List of ingredients nearing their expiration date

[2020] Output: Notification message

[2021] Specific action: The server generates a notification such as "The expiration date of the milk is approaching."

[2022] Step 7:

[2023] Users check notifications on their devices and understand the expiration date.

[2024] Specific action: The user checks the notification on their device and understands the expiration date.

[2025] Examples of input prompts for a generative AI model

[2026] "Please suggest a simple chicken and broccoli recipe for users with nut allergies. Users are tired, so they would prefer a recipe with a short cooking time."

[2027] "Please suggest a special day recipe for a user who is expressing joy. The ingredients are chicken and broccoli."

[2028] (Application Example 2)

[2029] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[2030] Traditional ingredient management and recipe suggestion systems lack sufficient personalization features based on user emotions and preferences, making it difficult for users to easily find the optimal recipe. Furthermore, the lack of notification functions for ingredients nearing their expiration date can lead to food waste. There is a need for a system that solves these problems and provides a more user-friendly and personalized cooking experience.

[2031] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for recognizing the user's emotions and displaying personalized recipes based on those emotions, means for receiving account information entered by the user, means for storing the account information in a database, and means for decoding QR code information read by the user. This not only enables the suggestion of appropriate recipes according to the user's emotions and preferences, but also provides a notification function based on expiration dates, thereby reducing food waste.

[2032] A "user" is an individual or legal entity that uses the system.

[2033] "Account information" refers to information used to identify a user and access the system. Specifically, this includes things like email addresses and passwords.

[2034] "Ingredient information" refers to information about the types and quantities of ingredients used by the user.

[2035] "Allergen information" refers to information about allergens that users should avoid.

[2036] A "recipe" is a document that lists the steps and ingredients needed to prepare a specific dish.

[2037] "QR code information" refers to all information encoded in a QR code. Specifically, this includes things like the name of the food item and its expiration date.

[2038] "Expiration date information" refers to information regarding the expiration date of food products.

[2039] An "emotion engine" refers to software or hardware used to analyze and recognize a user's emotions.

[2040] "Personalization" means optimizing content to suit each user's individual preferences and circumstances.

[2041] A "notification" is a message used to convey important information to a user. For example, it could be a warning message about food that is nearing its expiration date.

[2042] "Personalizing recipes" means adjusting the content and display order of recipes based on the user's emotions, ingredient information, and allergen information.

[2043] This invention is a system that manages user account information, suggests appropriate recipes based on ingredient and allergen information, and manages ingredients using QR codes. By combining this system with an emotion engine that recognizes user emotions, it enables personalized recipe suggestions based on the user's feelings.

[2044] Hardware and software configuration

[2045] Hardware:

[2046] Smartphone or tablet: Equipped with a camera used for QR code scanning and emotion recognition.

[2047] Server: Performs data processing and storage. The hardware configuration typically uses standard server equipment.

[2048] software:

[2049] Operating system: Mobile operating systems such as Android and iOS.

[2050] QR code scanner: Uses libraries such as OpenCV.

[2051] Emotion recognition engine: EmotionRecognizer (virtual library).

[2052] Database: MySQL, NoSQL, etc.

[2053] hashing library: hashlib (Python).

[2054] System Operation Description

[2055] User registration and authentication:

[2056] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The device sends this information to the server, which hashes the received password using hashlib and stores the account information in a database. When the user logs in again, they enter their email address and password again, and the authentication process is performed.

[2057] Recipe suggestions and personalization:

[2058] The user enters ingredient and allergen information on their device. The device sends this information to a server, which analyzes the provided data. The server searches the database for appropriate recipes based on the user's ingredient and allergen information and sends the results to the device. During this process, EmotionRecognizer analyzes the user's emotions, and recipes are prioritized based on those emotions.

[2059] Integrating an emotion engine:

[2060] When a user expresses an emotion to the device through a voice input device or camera, the emotion engine analyzes this data. The server receives the analysis results and changes the display order and content of recipes according to the user's emotion. For example, if a user inputs "chicken" and "broccoli" as ingredients and provides "nut allergy" as allergen information, the server will search for recipes such as "garlic stir-fried chicken and broccoli" based on this information, and if the user's emotion is "joy," it will suggest a recipe such as "roasted chicken and broccoli, perfect for a special occasion."

[2061] QR code integration and ingredient management:

[2062] The user scans the QR code of the purchased food item with their smartphone camera. The device decodes the information from the QR code and sends it to the server. The server stores the food item information and expiration date information in a database. The stored expiration date information is checked periodically, and if any food items are nearing their expiration date, a notification is sent to the user. For example, if a user scans the QR code for "milk," the device decodes it and sends the information "milk, expiration date October 10, 2023" to the server. The server stores this information in the database and generates a notification when the expiration date is approaching, displaying "The expiration date of your milk is approaching" on the device.

[2063] Examples of prompt statements

[2064] Use the following prompts for the generative AI model:

[2065] "Please provide a concrete implementation example of a food delivery app that includes user registration, QR code scanning, and emotion recognition. Implement a function that retrieves ingredient information from the QR code and suggests recipes based on emotion recognition."

[2066] This enables the suggestion of optimal recipes tailored to the user's emotions and preferences, and also facilitates smooth food management based on expiration dates.

[2067] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[2068] Step 1:

[2069] The user enters their email address and password into the account creation form on their device and clicks the "Register" button. The entered account information (email address and password) is sent from the device to the server.

[2070] The server receives this information, hashes the password using the hashlib library, and stores the user's account information in the database. This enables secure user account management.

[2071] Input: User's entered email address and password

[2072] Data processing: Password hashing

[2073] Output: Account information stored in the database

[2074] Step 2:

[2075] The user enters ingredient and allergen information on their device. This information is then sent from the device to the server.

[2076] The server analyzes ingredient and allergen information and searches the database for relevant recipes. The search results are then sent to the terminal, displaying the most suitable recipe to the user.

[2077] Input: User-entered food ingredient information and allergen information

[2078] Data processing: Analysis of input information, recipe search.

[2079] Output: Recipe suggestions displayed on the terminal

[2080] Step 3:

[2081] The user scans the QR code on the purchased groceries using their smartphone camera. The device decodes the QR code information and sends it to the server.

[2082] The server stores ingredient information and expiration date information obtained from QR codes in a database. This allows for efficient expiration date management.

[2083] Input: QR code information

[2084] Data processing: Decoding QR code information

[2085] Output: Food ingredient and expiration date information stored in the database

[2086] Step 4:

[2087] The server periodically checks the database to see if any food items are nearing their expiration date. If so, it generates a notification and sends it to the device.

[2088] The device displays a notification stating, "AA's expiration date is approaching." This allows users to manage their food ingredients efficiently.

[2089] Input: Database expiration date information

[2090] Data processing: Expiration date check, notification generation.

[2091] Output: Notification sent to the device

[2092] Step 5:

[2093] Users express their emotions through their smartphone's camera or voice input device. The device collects emotion data and analyzes it using the EmotionRecognizer library. Then, it sends the emotion data to a server.

[2094] The server receives emotional data and adjusts the priority and content of recipes accordingly. If the emotional state is "tired," it suggests simple recipes; if the emotional state is "joyful," it suggests recipes for special occasions.

[2095] Input: User sentiment data (voice and images)

[2096] Data processing: Emotion analysis, recipe resetting

[2097] Output: Personalized recipes displayed on the device

[2098] Through each of the steps described above, it becomes possible to suggest optimal recipes tailored to the user's emotions and preferences, and to efficiently manage expiration dates. This system allows users to enjoy a more personalized and efficient cooking experience.

[2099] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[2100] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[2101] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[2102] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[2103] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[2104] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[2105] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[2106] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[2107] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[2108] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[2109] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[2110] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[2111] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[2112] 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.

[2113] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[2114] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[2115] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[2116] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[2117] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[2118] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[2119] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[2120] The following is further disclosed regarding the embodiments described above.

[2121] (Claim 1)

[2122] A means of receiving account information entered by the user,

[2123] A means of saving the above account information to a database,

[2124] A means for receiving ingredient information and allergen information entered by the user,

[2125] A means for searching and displaying recipes based on the above ingredient and allergen information,

[2126] A means of decoding the QR code information scanned by the user,

[2127] A means for storing the food information and expiration date information contained in the above QR code information in a database,

[2128] A system that periodically checks stored expiration date information and includes a means of sending notifications to users when the expiration date is approaching.

[2129] (Claim 2)

[2130] The system according to claim 1, which generates personalized recipes based on the user's preferred ingredients.

[2131] (Claim 3)

[2132] The system according to claim 1, comprising a database for storing user account information and food management information.

[2133] "Example 1"

[2134] (Claim 1)

[2135] A means of receiving account information entered by the user,

[2136] A means of saving the above account information to a database,

[2137] A means for receiving ingredient information and allergen information entered by the user,

[2138] A means for searching and displaying recipes based on the above ingredient and allergen information,

[2139] A means of decoding the QR code information scanned by the user,

[2140] A means for storing the food information and expiration date information contained in the above QR code information in a database,

[2141] A means to periodically check stored expiration date information and send notifications to users when the expiration date is approaching,

[2142] A means of securely managing user account information and food management information,

[2143] A means of displaying recipes suggested according to the user's preferences on the device,

[2144] A system that includes a means of providing recipe suggestions based on prompt text using a generative AI model.

[2145] (Claim 2)

[2146] The system according to claim 1, which generates personalized recipes based on the user's preferred ingredients and allergen information.

[2147] (Claim 3)

[2148] The system according to claim 1, comprising a database for storing user account information and food management information.

[2149] "Application Example 1"

[2150] (Claim 1)

[2151] A means of receiving account information entered by the user,

[2152] A means of saving the above account information to a database,

[2153] A means for receiving ingredient information and allergen information entered by the user,

[2154] A means for searching and displaying recipes based on the above ingredient and allergen information,

[2155] A means of decoding the QR code information scanned by the user,

[2156] A means for storing the food information and expiration date information contained in the above QR code information in a database,

[2157] A means to periodically check stored expiration date information and send notifications to users when the expiration date is approaching,

[2158] A means of using a generative AI model to generate personalized recipes based on the user's past order history and allergen information,

[2159] A means of providing users with the option to reorder ingredients when their expiration date is approaching,

[2160] A means of sending prompt messages to a generating AI model to create allergen-free recipes.

[2161] A system that includes this.

[2162] (Claim 2)

[2163] The system according to claim 1, which generates personalized recipes based on the user's preferred ingredients.

[2164] (Claim 3)

[2165] The system according to claim 1, comprising a database for storing user account information, ingredient management information, and past order history information.

[2166] "Example 2 of combining an emotion engine"

[2167] (Claim 1)

[2168] A means of receiving account information entered by the user,

[2169] A means of saving the above account information to a database,

[2170] A means for receiving ingredient information and allergen information entered by the user,

[2171] A means for searching and displaying recipes based on the above ingredient and allergen information,

[2172] A means of decoding the code information read by the user,

[2173] A means for storing ingredient information and expiration date information included in the above code information in a database,

[2174] A means to periodically check stored expiration date information and send notifications to users when the expiration date is approaching,

[2175] Means of recognizing user emotions,

[2176] A system that includes means to change the display order and content of recipes based on the above emotions.

[2177] (Claim 2)

[2178] The system according to claim 1, which generates personalized recipes based on the user's preferred ingredients and emotions.

[2179] (Claim 3)

[2180] The system according to claim 1, comprising a storage device for storing user account information, emotional information, and food management information.

[2181] "Application example 2 when combining with an emotional engine"

[2182] (Claim 1)

[2183] A means of receiving account information entered by the user,

[2184] A means of saving the above account information to a database,

[2185] A means for receiving ingredient information and allergen information entered by the user,

[2186] A means for searching and displaying recipes based on the above ingredient and allergen information,

[2187] A means of decoding the QR code information scanned by the user,

[2188] A means for storing the food information and expiration date information contained in the above QR code information in a database,

[2189] A means to periodically check stored expiration date information and send notifications to users when the expiration date is approaching,

[2190] A system that includes means of recognizing a user's emotions and personalizing and displaying recipes based on those emotions.

[2191] (Claim 2)

[2192] The system according to claim 1, which generates personalized recipes based on the user's preferred ingredients and emotional information.

[2193] (Claim 3)

[2194] The system according to claim 1, comprising a database for storing user account information, food management information, and emotional information. [Explanation of Symbols]

[2195] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of receiving account information entered by the user, A means of saving the above account information to a database, A means for receiving ingredient information and allergen information entered by the user, A means for searching and displaying recipes based on the above ingredient and allergen information, A means of decoding the QR code information scanned by the user, A means for storing the food information and expiration date information contained in the above QR code information in a database, A system that includes means for periodically checking stored expiration date information and sending notifications to users when the expiration date is approaching.

2. The system according to claim 1, which generates personalized recipes based on the user's preferred ingredients.

3. The system according to claim 1, comprising a database for storing user account information and food management information.

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