AI Skin Analysis for Non-Face-to-Face Cosmetics Consulting

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Solution Overview

Problem

Individuals face challenges in finding personally-matched cosmetics due to varying and changing skin conditions, and existing technologies lack effective non-face-to-face consulting systems for personalized skin care and cosmetics use.

Innovation Solution

A non-face-to-face consulting system comprising a server and a user terminal app that analyzes skin conditions, provides consultations, and recommends appropriate cosmetics based on skin condition changes over time, using image processing and environmental data analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If face-to-face consulting is used for skin care and cosmetics, then personalized service quality is improved, but convenience and accessibility deteriorate

Engineering Contradiction:
Improvepersonalized service qualityVSAvoidconvenience and accessibility
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent introduces an AI-based skin analysis system as an intermediary between the user and the skin care consultant. The system captures skin images, analyzes skin conditions objectively, and provides data-driven recommendations, thereby maintaining personalized service quality while enabling non-face-to-face consultation and improving convenience and accessibility.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If traditional skin diagnosis methods are used, then skin condition assessment is performed, but objectivity and precision in evaluating skin condition changes over time deteriorate

Engineering Contradiction:
Improveskin condition assessment accuracyVSAvoidobjectivity in evaluating skin condition changes
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent replaces subjective human visual inspection with an AI-based image analysis system that objectively measures skin conditions. The system uses computer vision algorithms to analyze skin images, quantify skin parameters, and track changes over time, thereby improving measurement precision and objectivity in evaluating skin condition changes.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If customized cosmetics are recommended based on individual skin characteristics, then personalization effectiveness is improved, but complexity in finding and selecting appropriate products increases

Engineering Contradiction:
Improvepersonalization effectivenessVSAvoidcomplexity in finding and selecting products
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a self-service skin diagnosis and product recommendation system where users can upload their own skin images, receive automated skin condition analysis, and get personalized product recommendations without requiring complex manual selection processes. The system automatically matches skin conditions with suitable cosmetics, thereby maintaining personalization effectiveness while reducing the complexity of product selection.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12412197B2Non-face-to-face consulting system for skin care and cosmetics use
Publication Date: 2025.09.09 INCODONBIOCOSMETIC CO LTD
  • US12412197B2 patent drawing
  • US12412197B2 patent drawing

AI summary

According to an exemplary embodiment of the present invention, a non-face-to-face consulting system for skin care and cosmetics use is provided that includes: a non-face-to-face consulting server providing a user with consultations on skin care method and recommended cosmetics based on skin conditions of an analyzed user by analyzing the skin conditions of the user when the skin condition information of the user is received; and a skin care application (App) disposed on a user terminal and transmitting the skin care information including a skin photograph of the user and a skin condition reply of the user to the non-face-to-face consulting server.