Mobile Skin Color Analysis for Cosmetic Product Matching
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Solution Overview
Problem
The selection of cosmetic products for users is often time-consuming and inefficient, as existing methods rely on visual perception rather than accurate color matching, leading to suboptimal product choices.
Innovation Solution
A system and method that utilize digital image processing to identify skin color space values from a user's face, matching these values to cosmetic products stored in a database to recommend the most suitable products, thereby streamlining the selection process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual perception is used to select cosmetic products, then the selection process is simple and quick, but the accuracy and reliability of product matching is poor
Solution Approach 1:
The patent replaces the human visual perception mechanism with an automated digital image processing system. The system captures digital images of the user's face, processes them to identify skin tone characteristics, and automatically matches these with cosmetic products, eliminating the need for manual visual selection while improving accuracy.
Solution Approach 2:
The patent creates a digital copy (digital image) of the user's face and skin tone characteristics. This digital representation is then analyzed and compared with product information to determine the best match, allowing for precise color matching without requiring physical trial applications.
2Reliability
If multiple trials with different products are conducted, then the quality of product selection is improved, but the time consumption and effort increase significantly
Solution Approach 1:
The system performs preliminary analysis by capturing and processing digital images of the user's face to identify skin tone characteristics before the actual product selection. This preliminary action provides the data needed for accurate product matching, eliminating the need for multiple trial applications.
Solution Approach 2:
The system uses feedback from digital image analysis to automatically determine the best cosmetic product match. By continuously comparing skin tone characteristics with product information, the system provides accurate recommendations without requiring the user to perform multiple trials.
3Productivity
If digital image processing is used to identify skin color, then the speed and accuracy of product identification is enhanced, but the device complexity and processing requirements increase
Solution Approach 1:
The patent segments the complex task of cosmetic product selection into distinct processing steps: capturing digital images, processing images to identify skin tone characteristics, comparing characteristics with product data, and generating recommendations. This segmentation allows each step to be optimized independently while maintaining overall efficiency.
Solution Approach 2:
The patent introduces digital image processing as an intermediary between the user's physical appearance and the cosmetic product selection. This intermediary system automatically analyzes skin tone characteristics and bridges the gap to product matching, improving speed and accuracy without requiring direct complex interactions between the user and multiple products.
Data Source
AI summary
An electronic device for analyzing a skin of a subject and identifying a cosmetic product for the subject includes one or more processors and memory storing one or more programs for execution by the one or more processors. The device transfers a digital image of at least a portion of a face of the subject. The digital image includes a plurality of pixels. Skin pixels in the plurality of pixels are identified. Color space values are identified from the skin pixels. A cosmetic product is identified at least based on the color space values. The device transfers information of the cosmetic product.