Refrigerator for managing product stock and method therefor
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing refrigerator systems fail to accurately determine product reception and release due to the inability to distinguish image data, leading to inaccurate inventory management.
Innovation Solution
A method involving a camera-equipped refrigerator that extracts high-reliability image data by removing low-quality, low-confidence, and product covering data, generating refined product reception/release data, and creating a user database for customized consumption services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image data is captured to determine product inventory, then product storage management capability is improved, but measurement precision deteriorates due to inability to distinguish temporary vs permanent product changes
Solution Approach 1:
The system performs preliminary actions by capturing multiple images at different time points before making a final determination. Image data is collected continuously or at intervals, and product reception/release is determined only after comparing temporal changes across multiple captured images, ensuring accurate distinction between temporary and permanent product changes.
Solution Approach 2:
The system uses feedback mechanisms by comparing current image data with previously stored image data and product inventory information. The determination of product reception and release is based on feedback from temporal comparisons, where changes in image data are cross-validated against inventory records to accurately identify permanent product changes versus temporary ones.
2Quantity of substance
If all image data is used for inventory determination, then data completeness is improved, but reliability deteriorates due to inclusion of low-quality and product covering data
Solution Approach 1:
The system extracts only the necessary and high-quality image data from the complete set of captured images. Low-quality data such as blurry images, images with poor lighting, and images where products are partially covered are identified and excluded from the analysis. Only clear, complete product images are used for inventory determination, improving reliability while maintaining sufficient data volume.
Data Source
AI summary
Discussed herein is a method of managing product reception/release data of a refrigerator including obtaining internal image data of the refrigerator using a camera provided in the refrigerator, extracting high-reliability data from the internal image data of the refrigerator, updating product reception/release data based on the high-reliability data, and creating a user database based on the updated product reception/release data.


