Advanced Makeup Try-On Solution: AI, AR, and Big Data Integration

AI-driven AR makeup try-on with precise shade detection and customization
Written by
Metaverse911
Industry
Marketing

The project aimed to develop a custom makeup try-on solution leveraging advanced technologies like Big Data, Artificial Intelligence (AI), Computer Vision (CV), and web-based Augmented Reality (AR) for real-time face augmentation. It addressed the limitations of the existing Perfect Corp software by enhancing the capability to try multiple makeup combinations and create unique looks.

Utilizing web-based AR technology, the solution enables users to experiment with entire makeup looks across the full Pantone scale and multiple products simultaneously. AI and Big Data integration introduce a unique feature recommending products based on user demographics, location, complexion, face shape, preferences, and past purchases. A key innovation allows users to upload images of celebrity or personal makeup styles, analyzed against a palette of over 10,000 shades to recommend matching products accurately.

The implementation employed adaptive facial landmark technology for precise facial feature and complexion identification, facilitating real-time try-ons. Integration with Shopify enables seamless purchase of individual products or complete sets used in the uploaded image look creation.

Key components of the solution include:

1. Custom Framework Solution: Developed to assign multiple physical product SKUs to one Perfect Corp SKU, expanding the product and shade portfolio.

2. Big Data Utilization: Collected from user try-on experiences to enhance recommendation accuracy.

3. Complexion Detection: Enhanced through data cleaning, shadow and light removal via color frequency analysis, continuous machine learning, and data mining.

4. Web-Based AR: Compatible with desktop and mobile devices for widespread accessibility.

5. Portfolio Management Tool: Allows easy navigation of SKU lists, management of available palettes, and real-time try-ons.

6. Real-Time Facial Feature Detection: Employs neural network systems for accurate analysis.

7. Color Detection and Recognition: Uses the CIEDE2000 color distance formula and K-mean based color clustering for precise color matching.

Overall, the project revolutionizes virtual makeup try-on experiences by integrating cutting-edge technologies to offer a comprehensive, personalized, and user-friendly platform. It aims to provide a seamless blend of creativity, functionality, and shopping convenience, enhancing user engagement and satisfaction in the beauty industry.

AI and Big Data enhance makeup customization and shade detection.

Real-time AR technology for accurate virtual makeup try-on experiences.

Integration with Perfect Corp for expanded product and shade portfolio.

Web-based platform supports desktop and mobile device compatibility.

Weekly newsletter
No spam. Just the latest releases and news around Metaverse, Virtual Reality, Mixed Reality and Immersive Tech Space.
Read about our privacy policy.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.