Development of an Advanced Augmented Reality Virtual Try-On Application with Real-World Glasses Retention

The client faces challenges in providing an immersive virtual try-on experience that allows customers to keep their existing glasses on while trying on new eyewear virtually. Technological limitations previously prevented real-time removal and replacement of glasses in live video feeds, restricting the realism and convenience of the AR shopping experience.

A large-scale retailer specializing in optical products, seeking to enhance customer experience through innovative AR solutions for online and in-store shopping.

• Develop a mobile application enabling real-time removal of real glasses from users' faces in live video streams on iOS devices.
• Implement advanced neural networks to accurately detect and track diverse glasses in different shapes, sizes, and colors under various lighting conditions.
• Create a semantic segmentation system for glasses and inpainting algorithms to seamlessly erase real glasses and overlay virtual eyewear.
• Ensure real-time performance at 30 frames per second to deliver a smooth user experience.
• Refine the application based on user testing feedback to reduce artifacts and improve processing efficiency.
• Position the application as a forefront offering in AR eyewear retail solutions, boosting brand recognition and driving sales through increased customer engagement.

• Real-time neural network-based detection and tracking of glasses in live video feeds.
• Semantic segmentation of glasses to differentiate them from facial features.
• Inpainting algorithms to erase real glasses seamlessly from the video stream.
• Augmented reality overlay of virtual glasses, adapting to user movements and lighting conditions.
• Support for diverse glasses shapes, colors, and sizes.
• User interface optimized for ease of use and quick feedback integration.
• Performance optimization to achieve 30 FPS on mobile devices.

• AR SDK to enable augmented reality overlays
• Neural network deployment frameworks for on-device AI processing
• User testing platforms for feedback collection and app refinement

• Achieve a consistent 30 FPS performance on standard mobile devices
• Ensure high detection and tracking accuracy across diverse lighting conditions and glasses types
• Maintain user data privacy and security during app operation
• Design scalable architecture to accommodate increasing user loads and future feature enhancements

The implementation of this advanced AR try-on application is expected to significantly enhance the customer shopping experience by allowing realistic virtual try-ons with real-world glasses retained. Anticipated outcomes include increased brand recognition, higher customer engagement, and a measurable boost in sales figures, mimicking previous successful deployments that achieved substantial market differentiation and consumer interest.