Beverage Machine Capsule Recognition Using Color Sensor Detection
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Solution Overview
Problem
Current beverage preparation machines lack reliable automatic identification of capsules, which hampers efficient and accurate dispensing of beverages.
Innovation Solution
The machine incorporates a color recognition module with a color sensor that computes color and chromaticity distances to match the capsule's color with reference colors, ensuring robust recognition of capsule types for precise beverage preparation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automatic capsule identification is implemented, then beverage preparation accuracy is improved, but device complexity increases
Solution Approach 1:
The patent replaces manual capsule identification with an automatic color recognition system using optical sensors and image processing. The color recognition module captures capsule images and automatically determines capsule type based on color analysis, eliminating the need for manual identification and reducing operational complexity despite adding automated detection components.
Solution Approach 2:
The patent introduces a color recognition module as an intermediary between capsule insertion and beverage preparation. This module acts as a mediator that automatically identifies capsule type through color analysis and communicates this information to the control system, which then adjusts brewing parameters accordingly, resolving the contradiction between automation and complexity.
2Reliability
If color recognition module is added, then capsule recognition reliability is improved, but manufacturing cost increases
Solution Approach 1:
The patent replaces manual capsule inspection with an automated color recognition system using optical sensors and image processing algorithms. The system captures capsule images and automatically analyzes color characteristics to determine capsule type, significantly improving recognition reliability while using standard electronic components that are relatively easy to manufacture and integrate.
Solution Approach 2:
The patent uses optical imaging to create a digital copy of the capsule's visual characteristics. The color recognition module captures an image of the capsule and analyzes its color properties without physically contacting or altering the capsule, enabling reliable identification through information copying rather than complex mechanical interaction.
3Productivity
If manual capsule identification is used, then device complexity is reduced, but productivity decreases
Solution Approach 1:
The patent implements a self-service capsule identification system where the machine automatically detects and identifies capsule type through color analysis without requiring user intervention. The color recognition module autonomously captures capsule images, processes the color information, and determines capsule type, enabling the machine to self-adjust brewing parameters and maintain high productivity.
Solution Approach 2:
The patent replaces manual capsule identification operations with an automated optical detection system. The color recognition module uses image sensors and color analysis algorithms to automatically determine capsule type, eliminating the need for manual inspection and significantly improving beverage dispensing efficiency while adding only moderate system complexity.
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 enables reliable and robust capsule recognition, allowing for precise adaptation of beverage preparation parameters, thereby improving the efficiency and accuracy of beverage dispensing.
Implementation Method 1
a color recognition module for recognizing a color of a capsule inserted in the machine, the color recognition module comprising a color sensor for sensing a sample color 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).