Designed and delivered a prototype of smart human-machine interface that uses augmented reality (AR) to streamline predictive maintenance of jet engines, in collaboration with A*STAR and NTU, Singapore. The solution aimed to replace static manuals with immersive, real-time guidance, improving technician efficiency and reducing errors.

Developed a scaled jet engine model through rapid 3D printing to serve as the physical anchor for AR visualization. Built an interactive AR application using Unity and Vuforia SDK, enabling component identification, step-by-step instructions, and intuitive controls such as play, pause, and help - all integrated into the user’s field of view. The application was successfully deployed on Epson Moverio BT-300 smart AR glasses via Android, demonstrating hands-free interaction and contextual overlays for complex engine systems.

The prototype showcased how AR can accelerate maintenance, repair and operation workflows, reduce preparation time, and lower operational costs for aerospace applications. It validated the feasibility of AR-driven solutions for high-value asset management and laid the foundation for future commercial implementations in predictive maintenance.