Structures such as bridges, buildings, and roads are an essential part of modern society. Analyzing defects (crack, corrosion, delamination, etc) in these structures periodically is an essential process to extend their useful life. In recent years, augmented reality (AR) technology has been proved to be effective in improving the inspection process.
- Develop a deep learning architecture for bridge defects detection in real-time for Smartphones
- Build an AR platform to enhance user experience
20% Theory, 50% Implementation, 10% Experiment, 20%Writing
Aymane Chilah (firstname.lastname@example.org)