Multispectral Beverage Imaging for Instant Quality Assessment
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Solution Overview
Problem
Existing methods for identifying and judging the quality of beverages are invasive, time-consuming, and expensive, often requiring laboratory analysis.
Innovation Solution
A system and method utilizing multispectral imaging and RGB imaging to determine reflectance and structural features of liquids, providing quality information based on these features, and generating feedback on beverage quality without laboratory intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive laboratory analysis methods are used to identify and judge beverage quality, then measurement precision is improved, but loss of time and productivity are worsened due to time-consuming procedures
Solution Approach 1:
The patent replaces invasive mechanical/chemical laboratory analysis methods with optical imaging systems (multispectral and RGB cameras) that capture beverage images non-invasively. The system uses circuitry to process images and determine structural features (foam characteristics, liquid level,Meniscus shape) and reflectance features (color composition, saturation, brightness) instantly, eliminating time-consuming laboratory procedures while maintaining quality assessment accuracy
Solution Approach 2:
The patent creates optical copies (images) of the beverage using multispectral and RGB cameras. These images capture all necessary quality information (structural and reflectance features) without physical contact or sampling. The circuitry processes these copies to determine beverage quality, eliminating the need for invasive sampling and lengthy laboratory analysis while preserving measurement precision
2Measurement precision
If invasive laboratory analysis methods are used to determine beverage quality, then measurement precision is improved, but device complexity and cost are worsened due to laboratory requirements
Solution Approach 1:
The patent substitutes complex laboratory equipment with a relatively simple optical system consisting of multispectral and RGB cameras connected to processing circuitry. This system performs non-invasive quality analysis by capturing images and processing structural and reflectance features, dramatically reducing device complexity and eliminating the need for expensive laboratory infrastructure while maintaining precision through advanced image analysis algorithms
Solution Approach 2:
The patent creates a universal quality assessment system that can analyze multiple beverage types and quality parameters using a single integrated device. The circuitry processes both structural features (foam, liquid level, Meniscus) and reflectance features (color, saturation, brightness) from the same image set, providing comprehensive quality assessment without requiring multiple specialized laboratory instruments
3Device complexity
If traditional imaging methods are used to analyze beverages, then device complexity is reduced, but measurement precision is worsened due to inability to capture comprehensive quality features
Solution Approach 1:
The patent merges multispectral imaging and RGB imaging into a single integrated system. The multispectral camera captures detailed reflectance information across multiple wavelengths, while the RGB camera captures overall color and structural features. Both image streams are processed together by the circuitry to determine comprehensive quality metrics, achieving high measurement precision through combined feature analysis while maintaining manageable device complexity through integrated design
Solution Approach 2:
The patent adds spectral dimensionality to traditional RGB imaging by incorporating multispectral capture. This enables the system to analyze reflectance features across multiple wavelengths, providing deeper material characterization (color composition, saturation, brightness) beyond what single-band RGB imaging can achieve. The circuitry processes this multi-dimensional data to extract precise quality features without significantly increasing overall 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
Enables on-site, instantaneous analysis of beverage quality, allowing consumers to identify ingredients, freshness, and purity without sampling, improving accuracy and reducing costs.
Implementation Method 1
determine a reflectance feature of a liquid based on a reflectance image generated based on multispectral image data of the liquid
Implementation Method 2
determine a structural feature of the liquid based on image data of the liquid
Data Source
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AI summary
A system including circuitry configured to determine a reflectance feature of a liquid based on reflectance image data generated based on multispectral image data of the liquid; determine a structural feature of the liquid based on image data of the liquid; and to provide quality information of the liquid based on the reflectance feature and the structural feature.