Facial Recognition Makeup Evaluation Without Login Credentials
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Solution Overview
Problem
Consumers face challenges in efficiently evaluating and tracking cosmetic products during makeup consultations due to limited availability of beauty advisors and the complexity of using electronic kiosks, which often require login credentials and account setup.
Innovation Solution
A system and method that allows users to initiate makeup evaluation sessions without login credentials, using digital images to select and apply cosmetic products virtually, generating a makeup session packet, and transmitting it to a cloud server for storage and retrieval, enabling users to access and apply recommended products without account setup.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electronic kiosks require login credentials and account setup for tracking makeup information, then user information can be stored and retrieved, but user operation complexity increases and accessibility decreases
Solution Approach 1:
The system uses facial recognition technology to automatically identify users and retrieve their makeup information without requiring manual account setup or login credentials. The user simply positions their face in front of the camera, and the system autonomously completes the authentication and information retrieval process, eliminating the tedious account creation steps while maintaining reliable tracking.
Solution Approach 2:
The patent replaces the mechanical authentication system (keyboards, password entry, account management interfaces) with an optical recognition system. Facial biometric data is captured and processed to automatically identify users, substituting the manual credential-based authentication mechanism with a non-contact, image-based recognition system that maintains security while improving ease of use.
2Adaptability or versatility
If beauty advisors assist individuals with recommending cosmetic products, then personalized recommendations are provided, but availability is limited due to high consumer volume
Solution Approach 1:
The system creates a virtual replica of the beauty advisor's expertise through software algorithms that analyze facial features, skin tone, and makeup preferences to generate personalized product recommendations. This virtual copy can serve multiple users simultaneously, maintaining the personalized recommendation capability while eliminating the limitation of advisor availability during peak hours.
Solution Approach 2:
The electronic kiosk system performs multiple functions that previously required a human beauty advisor: facial analysis, product recommendation, virtual makeup application, and information tracking. This multi-functional system can serve unlimited users simultaneously, replacing the single-point service model with a scalable universal platform.
3Adaptability or versatility
If customers try on multiple cosmetic products at electronic kiosks, then product evaluation is enabled, but information retention becomes difficult
Solution Approach 1:
The system automatically captures images of the user's face during virtual makeup trials and stores them associated with the tested products. When the user returns or views results later, the system retrieves these captured images and product information, providing feedback on how the makeup looked during the session. This automatic feedback loop prevents information loss by systematically storing and retrieving evaluation data.
Solution Approach 2:
The system performs preliminary capture and storage of makeup trial information during the evaluation session, preparing the data for later retrieval. By automatically saving the facial images, product selections, and trial results during the initial session, the system ensures this information is preserved and readily available for future reference without requiring the user to manually remember or record details.
Data Source
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AI summary
A makeup evaluation computing device obtains a request from a user to initiate a makeup evaluation session. The makeup evaluation computing device initiates the makeup evaluation session without obtaining login credentials from the user and obtains a digital image of a facial region of the user. The makeup evaluation computing device generates a user interface displaying at least one cosmetic product and obtains from the user a selection of cosmetic products among the one or more displayed cosmetic products. The makeup evaluation computing device performs virtual application of the selected cosmetic products on the facial region of the user and stores the selection of cosmetic products. The makeup evaluation computing device generates a makeup session packet comprising the digital image of the facial region of the user and stored selection of cosmetic products. The makeup evaluation computing device transmits the makeup session packet to a cloud server and terminates the makeup evaluation session.