Calibration Glasses for Accurate Face Color Detection
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Solution Overview
Problem
Existing systems require specialized lighting and equipment to accurately determine skin color for recommending cosmetics, making it difficult for users to use such services without these resources.
Innovation Solution
A system comprising glasses with markers and colors at predetermined positions, and a computer system that captures images with and without the glasses to determine face colors, enabling accurate color reading in ambient lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a special lighting environment and special photographic equipment are used to obtain skin color information, then the accuracy of skin color determination is improved, but the ease of operation deteriorates
Solution Approach 1:
A color calibration chart is introduced as an intermediary object that mediates between the lighting environment and the skin color measurement. The chart contains known color values that serve as reference standards, allowing the system to calculate and compensate for lighting conditions without requiring controlled lighting environments or specialized equipment.
Solution Approach 2:
The system changes the parameter of lighting condition from a fixed requirement to a variable that can be calculated and compensated. By capturing the color calibration chart under the actual lighting conditions and comparing it with the standard color values, the system determines the lighting parameters and uses them to correct the skin color measurements, thereby eliminating the need for controlled lighting environments.
2Measurement precision
If a specially-controlled lighting environment is required to obtain accurate face color information, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The color calibration chart serves as a portable, simple intermediary that eliminates the need for complex lighting control systems. Instead of requiring sophisticated lighting equipment and controlled environments, the system uses the chart to capture and compensate for actual lighting conditions, significantly reducing device complexity while maintaining measurement precision.
Solution Approach 2:
The system performs self-calibration by automatically capturing the color calibration chart and calculating the lighting conditions without requiring external intervention or complex setup. The smartphone application guides users through the process and automatically computes the necessary corrections, making the system simple to use while maintaining high accuracy.
3Measurement precision
If special photographic equipment is used to capture skin color, then the measurement precision is improved, but the ease of manufacture deteriorates
Solution Approach 1:
The system replaces expensive, specialized photographic equipment with a common smartphone camera. The color calibration chart acts as a simple, inexpensive reference object that can be printed and used repeatedly. This substitution dramatically reduces manufacturing costs and implementation difficulty while maintaining measurement accuracy through computational compensation.
Solution Approach 2:
The system transforms the measurement approach from relying on specialized hardware capabilities to using computational methods. By changing from hardware-based precision (specialized equipment) to software-based compensation (algorithmic correction using the calibration chart), the system achieves the same measurement precision with much simpler, more manufacturable components.
Data Source
AI summary
Glasses are used to determine a color of each position of a face of a user by a computer system based on first image data (with-glasses face image) obtained by capturing an image of the user wearing the glasses, and second image data (no-glasses face image) obtained by capturing an image of the user without the glasses. The glasses include a position determination marker at a predetermined position and has a predetermined color (color pattern) at a predetermined position. The computer system determines the color of each position of the face of the user based on the first image data and the second image data using the marker and the color.


