Color Palette Analysis Using CIELAB Coordinates
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Solution Overview
Problem
Existing systems for creating personalized color palettes struggle to accurately account for individual variations in skin, hair, and eye colors due to limited palettes, reliance on subjective expert opinions, and inaccuracies in color display on electronic screens, leading to partially flattering or incorrect color recommendations.
Innovation Solution
A system and method that uses a color sample-taking device to capture numerical readings of fixed colors, determining personalized color palettes through CIELAB color coordinates, and generating recommendations for perfect matches, harmonies, and contrasts, avoiding generic classifications and electronic screen inaccuracies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If existing systems use limited standardized palettes and broad categorization, then device complexity is reduced, but measurement precision and personalization accuracy deteriorate
Solution Approach 1:
The system transforms color analysis from categorical classification to continuous numerical measurement using CIELAB color coordinates (L*, a*, b*). This parameter transformation enables precise quantification of skin, hair, and eye colors, allowing the system to move beyond limited standardized palettes while maintaining manageable complexity through mathematical color models.
Solution Approach 2:
The patent replaces subjective expert visual assessment with automated colorimetric measurement devices. This substitution eliminates human variability and subjectivity, providing objective, repeatable measurements of fixed color attributes while reducing reliance on expert opinion and broad categorization systems.
2Ease of operation
If systems rely on electronic screen display for color reference, then ease of operation is improved, but measurement precision deteriorates due to color display limitations
Solution Approach 1:
The system creates accurate digital copies of physical colors through numerical CIELAB coordinate representation. Instead of relying on electronic screens to display colors (which have inherent limitations), the patent captures precise colorimetric data that can be stored, transmitted, and used for comparison without degradation, effectively creating a lossless digital representation of physical color attributes.
3Adaptability or versatility
If systems use subjective expert opinion for color palette creation, then adaptability to individual cases is improved, but loss of time and cost increase
Solution Approach 1:
The system enables self-service color analysis by providing individuals with portable colorimetric measurement devices and automated analysis algorithms. Users can independently measure their own fixed color attributes (skin, hair, eyes) and receive personalized color palette recommendations without requiring expert consultation, thereby maintaining adaptability while eliminating time loss and reducing costs.
Solution Approach 2:
The system implements automated feedback loops where color measurements are immediately processed through CIELAB coordinate analysis to generate personalized palette recommendations. This real-time feedback mechanism replaces the delayed feedback inherent in expert consultations, providing users with instant, data-driven color guidance while maintaining high adaptability to individual characteristics.
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
Provides highly customized and accurate color palettes that enhance personal appearance, reducing errors and costs associated with subjective methods, while ensuring color recommendations align with individual attributes.
Implementation Method 1
The user may take readings of fixed color areas such as skin, hair, or eye color
Data Source
AI summary
A system and method for color palette analysis and creation may be provided. The system and method for color palette analysis may include sending a user a color sample taking device. The user may take readings of fixed color areas such as skin, hair, or eye color. The fixed color readings may be used to determine a user's personalized color palette, which may include, for example, exact color matches and/or color harmony matches. The user may use their personalized color palette to, for example, select clothing, makeup, or other products.