Machine Vision Beverage Dispensing for Personalized Refrigerator Use
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Solution Overview
Problem
Current beverage dispensing systems are inconvenient for users to customize beverages to their individual tastes and often require multiple users to adjust settings, lacking personalized preferences and usage tracking.
Innovation Solution
A refrigerator-integrated beverage dispensing system with a machine vision system that uses an imaging device to recognize users and containers, adjusting dispensing parameters based on user identity and container information, allowing for personalized settings and usage tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually adjust beverage dispensing settings, then beverage customization to individual tastes is achieved, but convenience deteriorates and time consumption increases
Solution Approach 1:
The system automatically identifies users through imaging devices and autonomously adjusts beverage dispensing parameters based on stored user preferences, eliminating the need for manual user intervention. The system serves itself by recognizing users and automatically configuring optimal beverage settings without requiring users to manually adjust controls.
Solution Approach 2:
User preferences and optimal beverage parameters are pre-stored in the system database during initial setup or learning phases. When a user is identified, the system retrieves and applies pre-determined settings instantly, performing the customization action in advance rather than requiring real-time manual adjustment.
2Productivity
If multiple users share a beverage dispensing system, then resource utilization is improved, but the complexity of managing individual preferences increases
Solution Approach 1:
The system continuously learns from user interactions and beverage consumption patterns, automatically updating and refining user preference profiles. The imaging device provides continuous feedback on user identity, and the system adjusts settings based on accumulated data, creating a self-improving system that manages multiple user preferences without increasing operational complexity.
Solution Approach 2:
A single beverage dispensing system serves multiple users by integrating universal user identification capabilities through imaging devices. The system universally applies the same identification and preference retrieval process to all users, enabling one system to handle diverse individual preferences without requiring multiple separate systems or complex manual management.
3Adaptability or versatility
If no user recognition system is implemented, then device complexity is reduced, but the ability to provide personalized beverage settings deteriorates
Solution Approach 1:
Traditional mechanical or manual user identification methods are replaced with optical imaging devices and automated image processing systems. The mechanical interaction of manually entering user information is substituted with non-contact optical recognition, reducing physical complexity while enabling personalized settings through automated digital processing.
Data Source
AI summary
A refrigerator is provided which includes a cabinet. A first compartment and second compartment are disposed within the cabinet. A first door provides access to the first compartment and a second door provides access to the second compartment. A beverage dispensing system is operatively connected to the cabinet. A machine vision system associated with the beverage dispensing system. The machine vision system has an imaging device.