AI Refrigerator Stock Tracking and Subscription Management
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Solution Overview
Problem
Users face challenges in remembering the stock levels of their preferred products in the refrigerator and often realize too late that desired products are out of stock, leading to inconvenience and potential health issues due to unawareness of product health impacts.
Innovation Solution
An artificial intelligence device that automatically recognizes products stored in a refrigerator, generates a stock list, determines user-preferred products, and sets these products as subscriptions to maintain constant stock levels, while also recommending healthier alternatives based on user health information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually track product stock in refrigerator, then they can know product availability, but it requires continuous user attention and memory effort which is difficult to maintain
Solution Approach 1:
The refrigerator system automatically performs stock tracking through integrated cameras and AI processing, eliminating the need for manual user intervention. The system captures images, identifies products, updates stock levels, and generates purchase notifications autonomously, allowing the refrigerator to serve itself in monitoring its contents.
Solution Approach 2:
The patent replaces manual mechanical tracking methods with automated optical recognition systems. Cameras capture product images, AI algorithms identify and categorize items, and digital systems manage stock data, substituting human cognitive effort with automated image processing and machine learning technologies.
2Reliability
If users check refrigerator stock frequently, then they can avoid running out of products, but it consumes user time and creates inconvenience
Solution Approach 1:
The system continuously monitors stock levels through automated image recognition and provides real-time feedback to users via notifications when products are running low. This feedback loop ensures reliable product availability awareness without requiring users to actively check stock, as the system proactively informs them when intervention is needed.
Solution Approach 2:
The refrigerator system performs preliminary stock monitoring and analysis before products actually run out. By continuously tracking inventory through automated recognition and predicting consumption patterns, the system prepares purchase notifications in advance, ensuring users are informed before stock depletion occurs, thus maintaining reliability without time loss.
3Ease of operation
If the system recommends products based on stock, then users get convenient suggestions, but the system complexity increases with AI processing requirements
Solution Approach 1:
The refrigerator system performs multiple functions using the same AI infrastructure: product recognition, stock tracking, consumption pattern analysis, and recommendation generation. This multi-functionality reduces overall system complexity by consolidating AI processing tasks rather than requiring separate systems for each function, making the complexity manageable while delivering comprehensive convenience.
Solution Approach 2:
The patent introduces an AI server as an intermediary that handles complex processing tasks. The refrigerator captures images and transmits them to the external AI server for product recognition and analysis, then receives results for local display and recommendation. This distributed architecture reduces the processing burden on the refrigerator device itself while maintaining recommendation convenience for users.
4Reliability
If the system automatically manages subscription products, then stock levels are maintained constantly, but the automation extent increases system complexity
Solution Approach 1:
The refrigerator system autonomously manages subscription products by automatically detecting low stock levels, generating purchase notifications, and executing reordering without user intervention. The system learns user consumption patterns, predicts when products will be depleted, and proactively manages replenishment, allowing the refrigerator to self-manage its inventory for subscribed items while maintaining constant stock levels.
Data Source
AI summary
An artificial intelligence according to one embodiment of a present disclosure comprises a communicator configured to receive a product image in which at least one product is captured in a refrigerator, and a processor configured to obtain at least one product information based on the product image, generate a stock list for products stored in the refrigerator based on the product information, determine a user-preferred product based on a change in the stock quantity of each of at least one product included in the stock list, and determine whether the user-preferred product is a subscription available product and recommend the user-preferred product as a subscription product if the user-preferred product is determined as subscription available product.