AR Digital Makeup Palette Personalization

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Solution Overview

Problem

Existing cosmetic try-on applications lack personalization, failing to capture users' desired looks and are limited by brand constraints, unable to effectively address individual skin problems or emphasize facial features, and are not scalable for varied skin conditions and features.

Innovation Solution

An augmented reality system with a digital makeup palette that uses computation circuitry to generate user-selectable makeup objectives, palettes, and virtual try-ons, incorporating machine learning for face analysis and personalized recommendations, allowing users to create custom looks and address specific skin concerns.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If prior try-on applications use photo editing tools to apply makeup, then the basic makeup application function is achieved, but the personalization and realism of the makeup look is limited

Engineering Contradiction:

Improvepersonalization capabilityVSAvoiduser experience quality

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system automatically analyzes the user's face using machine learning algorithms to detect skin problems, facial features, and makeup objectives without requiring manual input. The makeup application is then automatically adjusted to address detected issues, enabling the system to serve itself in the personalization process.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors and adjusts makeup application based on real-time feedback from machine learning analysis of the user's face. The makeup objectives unit receives feedback about skin conditions and facial features to dynamically adjust the digital makeup palette and application parameters.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If prior try-on applications are limited to certain brands of physical makeup products, then brand partnerships are maintained, but the creativity and customization options for users are restricted

Engineering Contradiction:

Improvecustomization optionsVSAvoidsystem flexibility

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system creates a digital copy of the user's face and applies virtual makeup products to this digital replica rather than requiring physical products. This digital copying approach allows unlimited customization options without being constrained by actual product availability or brand limitations.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The digital makeup palette serves multiple functions: it can apply various makeup styles, address different skin problems, emphasize different facial features, and create different looks entirely. This multi-functional digital palette replaces the need for multiple physical products and brands.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Manufacturing precision

If prior try-on applications provide basic makeup application, then the essential function is fulfilled, but the ability to address specific skin problems and emphasize facial features is insufficient

Engineering Contradiction:

Improvemakeup application precisionVSAvoidskin problem addressing capability

Core Design Contradiction:

Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The system applies different makeup characteristics to different local areas of the user's face based on detected skin problems and facial features. Each region receives customized makeup treatment tailored to its specific requirements, such as concealing blemishes in particular areas while enhancing other features.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system dynamically changes makeup parameters such as coverage, shade, finish, and application intensity based on the detected skin conditions and facial features. These parameter adjustments allow precise control over how makeup addresses specific concerns while maintaining overall aesthetic goals.

Inventive Principle:

Principle #35Parameter changes

4Adaptability or versatility

If e-commerce personalization services are implemented, then some level of customization is provided, but scalability to end consumers with varied skin conditions and features is insufficient

Engineering Contradiction:

Improveconsumer scalabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system replaces complex manual personalization processes with automated machine learning algorithms that can rapidly analyze and adapt to diverse skin conditions and facial features. This substitution of mechanical manual processes with automated AI-based systems enables scalability across diverse consumer populations.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11321882B1Digital makeup palette

Publication Date: 2022.05.03 LOREAL SA

AI summary

An augmented reality system for makeup, includes a makeup objective unit including computation circuitry operably coupled to a graphical user interface configured to generate one or more instances of user selectable makeup objectives and to receive user-selected makeup objective information, a makeup palette unit operably coupled to the makeup objective unit, the makeup palette unit including computation circuitry configured to generate at least one digital makeup palette for a digital makeup product in accordance with the user-selected makeup objective information, and a makeup objective visualization unit including computation circuitry configured to generate one or more instances of a virtual try-on in accordance with the user-selected makeup objective information.