Beverage Machine Capsule Recognition Using Diffused LED Lighting
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Solution Overview
Problem
Current beverage preparation machines face challenges in reliably identifying and handling capsules automatically, which affects the efficient preparation and dispensing of beverages.
Innovation Solution
The machine incorporates a capsule recognition module with a camera and LED light source, utilizing a diffuser to prevent direct reflections and improve image capture, coupled with a neural network for accurate capsule type identification, enabling precise control of extraction parameters for various capsule types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a camera is used to capture capsule images for recognition, then capsule type identification is enabled, but direct light reflections from LED sources create image quality issues that reduce recognition reliability
Solution Approach 1:
A diffuser element is introduced as an intermediary component between the LED light source and the capsule. This diffuser scatters the direct light into diffuse illumination, eliminating harmful reflections while maintaining sufficient lighting for image capture. The diffuser acts as a mediator that transforms the light characteristics to be beneficial for both illumination and reflection prevention.
Solution Approach 2:
The patent converts the harmful direct reflection from LED lights into beneficial diffuse illumination. By using the diffuser, the originally problematic direct light is transformed into scattered light that illuminates the capsule uniformly without creating glare or reflections that would interfere with image capture and recognition.
2Adaptability or versatility
If automated capsule recognition is implemented, then beverage preparation parameters can be adapted to capsule type, but the system complexity increases due to additional recognition components
Solution Approach 1:
The camera system serves multiple functions: it captures images for capsule recognition, and the same imaging capability can potentially be used for quality control, capsule positioning verification, and other monitoring tasks. This multi-functionality justifies the added complexity by providing multiple benefits from a single component.
Solution Approach 2:
The patent replaces manual capsule identification and parameter selection with an automated optical recognition system. Instead of mechanical or manual processes for determining capsule type and setting preparation parameters, an optical camera-based system with image processing algorithms is used, substituting mechanical operations with automated sensing and control.
3Illumination intensity
If LED light sources are used to illuminate the capsule, then sufficient lighting is provided for image capture, but direct reflections from the lights interfere with image quality
Solution Approach 1:
The diffuser serves as an intermediary optical element that receives direct light from the LED source and redistributes it as diffuse illumination. This intermediary component maintains the beneficial high illumination intensity while eliminating the harmful direct reflection paths to the camera.
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 enhances the reliability of capsule recognition, allowing for consistent and accurate preparation of different beverages by determining the correct extraction parameters based on the capsule type, thereby improving the overall efficiency and accuracy of beverage dispensing.
Implementation Method 1
The capsule recognition module comprises a diffuser for diffusing the light of the at least one source of light towards the capsule recognition position
Implementation Method 2
a camera for capturing an image of at least part of the capsule in the capsule recognition position
Data Source
AI summary
A machine for preparing and dispensing a beverage, such as tea, coffee, hot chocolate, cold chocolate, milk, soup or baby food, comprising a capsule recognition module for recognizing a capsule inserted in said machine at a capsule recognition position, the capsule recognition module comprising a camera for capturing an image of at least part of said capsule in said capsule recognition position; wherein the capsule recognition module comprises a camera for capturing an image of at least part of a capsule in the capsule recognition position, at least one source of light, for example at least one LED, to light up the capsule at said capsule recognition position, wherein the capsule recognition module comprises a diffuser for diffusing the light of the at least one source of light towards the capsule recognition position.