Capsule Color Recognition for Precise Beverage Extraction Control
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Solution Overview
Problem
Current beverage preparation machines face challenges in reliably identifying and handling capsules automatically, which affects the precision and efficiency of beverage dispensing.
Innovation Solution
The machine incorporates a color recognition module that uses a color sensor to compute HSL scores by comparing the capsule's color to reference colors, ensuring accurate identification and adaptation of extraction parameters for various capsule types, enabling reliable capsule recognition and efficient beverage preparation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a color recognition module with HSL score computation is implemented, then capsule identification precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces manual capsule identification and parameter adjustment with an automated color recognition system. A color sensor captures capsule color information, and a control unit computes HSL (Hue, Saturation, Lightness) scores to automatically identify capsule types and adjust extraction parameters, substituting mechanical/manual operations with optical sensing and computational analysis.
Solution Approach 2:
The patent changes the physical parameter being measured from simple presence detection to colorimetric analysis. By measuring color characteristics (hue, saturation, lightness) and computing HSL scores, the system transforms capsule identification from a binary detection problem to a multi-dimensional color analysis problem, enabling precise differentiation of capsule types.
2Productivity
If automated capsule recognition is implemented, then productivity is improved, but measurement precision deteriorates due to difficulty in detecting and measuring capsule properties
Solution Approach 1:
The patent implements a feedback mechanism where the color sensor continuously monitors capsule color, the control unit computes HSL scores, and the system adjusts extraction parameters based on the computed scores. This closed-loop feedback ensures that even with variations in lighting or capsule positioning, the system can accurately identify capsule types and optimize beverage preparation in real-time.
Solution Approach 2:
The patent transitions from one-dimensional or two-dimensional capsule identification (e.g., presence/absence or simple color category) to three-dimensional color space analysis using HSL coordinates. By evaluating hue, saturation, and lightness as separate dimensions and computing their scores, the system achieves more precise capsule differentiation while maintaining automated high-speed operation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution allows for precise recognition of capsule types, ensuring consistent and efficient beverage preparation by accurately determining the type of capsule and adjusting extraction parameters, thereby improving the overall performance and user experience of the machine.
Implementation Method 1
a colour recognition module (8) for recognising a colour of a capsule inserted in the machine, the colour recognition module comprising a colour sensor for sensing a sample colour of at least part of the surface of such capsule
Data Source
AI summary
A machine (1) for preparing and dispensing a beverage (2) has: a capsule extraction unit (10) having a first part (11) and a second part (12) that are relatively movable between a distant position for inserting a capsule (3) and a close position for extracting such capsule (3); a control unit (40) for controlling the extraction unit (10) to extract such capsule (3); an outlet (20) for dispensing said beverage (2) formed by extracting such capsule (3) to a user-receptacle (4) located in a receptacle placing area; and a capsule recognition arrangement (30) connected to the control unit (40) for recognizing the colour of at least part of a capsule inserted in the machine (1).