Method and apparatus for providing user-customized food information
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current refrigerator systems lack personalized food information management, failing to provide users with intuitive and customized information on frequently used items, leading to inefficiencies in inventory management and sharing scenarios.
Innovation Solution
A method and apparatus that utilize face and food recognition to classify users and track food entry/exit history, providing personalized information on preferred foods, nutrition intake, and alerting external devices via 5G communication when preferred items are taken out by unauthorized users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If face recognition and food tracking systems are implemented to provide personalized food information, then user customization and inventory management efficiency are improved, but device complexity and processing requirements increase
Solution Approach 1:
The system segments users into different categories (frequent users, occasional users, unauthorized users) based on face recognition and usage patterns. This segmentation allows the refrigerator to provide customized information to different user groups without requiring complex individual configurations for each user, thereby improving adaptability while controlling device complexity.
Solution Approach 2:
The system performs preliminary actions by pre-storing food entry/exit history and user face data before actual usage scenarios occur. When a user opens the refrigerator, the system has already prepared personalized food information based on previous tracking data, enabling quick customization without real-time complex processing.
2Measurement precision
If detailed food entry/exit history is tracked for each user, then inventory management precision is improved, but data processing complexity and storage requirements increase
Solution Approach 1:
The system extracts only the essential and frequently used food information from the complete food entry/exit history for each user. Instead of processing and displaying all tracked data, it selectively extracts preferred food items and their positions, achieving high inventory tracking precision while reducing data processing complexity by focusing on relevant information only.
3Speed
If real-time user recognition and food classification are performed, then information provision speed is improved, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary classification of food items and user recognition setup during off-peak times or initial system setup. Food items are pre-categorized and user face data is pre-processed, so that during actual refrigerator usage, the system only needs to perform simple matching operations rather than full classification, achieving fast information provision with minimal additional processing time.
Data Source
AI summary
Disclosed is a method for providing user-customized food information. In the method for providing user-customized food information, when an input of a user is received, the user is classified, history related to the classified user is retrieved from among previously stored food entry/exit history, and information on preferred food of the classified user on the basis of the retrieved entry/exit history, thereby easily providing intuitive information on preferred food having a high usage frequency for each user. The device for providing user-customized food information of the present disclosure is linked to an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, and the like. Can be.