Automated Skin Color Analysis and Cosmetic Recommendation System
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Solution Overview
Problem
Customers face difficulties in selecting appropriate cosmetics due to the wide variety of products and the need for expert advice, which is often unavailable in retail stores, leading to incorrect purchases caused by distorted lighting and lack of trained personnel.
Innovation Solution
A method for compiling color analysis parameters that corrects skin color descriptions independent of ambient lighting and image processing, allowing for automatic classification and recommendation of cosmetics based on skin tone without the need for a trained consultant.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If trained consultants are provided in retail stores to help customers select cosmetics, then product selection accuracy is improved, but operational cost increases
Solution Approach 1:
The system enables customers to perform their own skin color analysis and product selection using the automated imaging system, eliminating the need for trained consultants. The computer automatically captures images, analyzes skin tone, and recommends products, allowing customers to serve themselves without expert intervention.
Solution Approach 2:
The patent replaces the mechanical system of human consultants with an automated computer-based imaging and analysis system. The computer captures images, processes skin color data, and generates product recommendations, substituting human expertise with automated technological processes.
2Ease of operation
If ambient lighting is used in retail stores for product display, then ease of operation is improved, but measurement precision deteriorates due to color distortion
Solution Approach 1:
The system converts the harmful effect of ambient lighting distortion into a benefit by using the same ambient lighting conditions to capture images, then automatically correcting the color distortion through computational algorithms. The harm of distorted lighting is transformed into useful data that can be processed and corrected to reveal accurate skin tones.
Solution Approach 2:
The patent changes the parameters of the captured images through computational color correction. The system adjusts color values, brightness, and contrast parameters to compensate for ambient lighting effects, transforming distorted image parameters into accurate skin color representations.
3Measurement precision
If controlled lighting infrastructure is implemented for accurate color display, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces the mechanical infrastructure of controlled lighting systems with a computational image processing system. Instead of physically controlling lighting conditions, the system captures images under ambient lighting and uses software algorithms to correct color accuracy, eliminating the need for specialized lighting infrastructure.
4Measurement precision
If expert consultations are made available to all customers, then product selection quality is improved, but loss of time increases due to scheduling and waiting
Solution Approach 1:
The automated system allows customers to independently complete the entire product selection process without scheduling or waiting for consultant availability. Customers can capture their skin color image, receive analysis, and get product recommendations immediately, eliminating time loss associated with expert consultation scheduling.
Data Source
AI summary
Embodiments of the present invention recite a method of compiling color analysis parameters. In one embodiment of the present invention, a corrected color description of at least one test subject is constructed. The corrected color description of at least one test subject is then accessed. The at least one test subject is assigned to a classification color according the accessed corrected color description. The classification color is then correlated with a prescriptive recommendation.