Virtual Try On - AR Fashion Technology

Virtual Try On is an innovative augmented reality platform that enables customers to realistically preview how clothing items and accessories would look on them without physically trying them on, enhancing the online shopping experience.

Key Features

• Real-time Clothing Simulation: Physically accurate fabric simulation that shows how garments drape and move
• Body Measurement Extraction: AI-powered technology that extracts user measurements from photos or video
• 3D Model Generation: Creates a personalized avatar based on user's body type
• Realistic Rendering: High-quality visualization with accurate lighting and textures
• Cross-Platform Support: Works on web, iOS, and Android devices
• Social Sharing: Share virtual outfit combinations with friends for feedback
• Integration API: Easy integration with existing e-commerce platforms
• Analytics Dashboard: Insights into user engagement and try-on patterns

Technologies Used

• AI/ML: PyTorch, TensorFlow for garment physics and body measurement
• Computer Vision: OpenCV, MediaPipe for body tracking
• 3D Technologies: Three.js, WebGL for rendering
• AR Frameworks: ARKit (iOS), ARCore (Android)
• Frontend: React, React Native, WebXR
• Backend: Python, FastAPI, Redis
• Cloud Infrastructure: GCP, GPU instances for model inference
• Database: PostgreSQL, MongoDB for product catalog

Development Challenges

The biggest technical challenge was achieving realistic garment physics that could adapt to different body types while maintaining real-time performance on mobile devices. We developed a hybrid approach that uses pre-computed simulations combined with real-time adjustments.

Business Impact

Retailers using the Virtual Try On solution have reported a 32% reduction in return rates and a 24% increase in conversion rates. User engagement metrics show 3.7x longer session times compared to standard e-commerce experiences. The system processes over 100,000 virtual try-ons daily across client platforms.