Crack detection using U-Net and jetson nano

This project involved the development of a crack detection system using U-Net deep learning architecture and NVIDIA Jetson Nano hardware. By employing advanced computer vision and machine learning techniques, the system aimed to accurately identify and localize cracks in various structures, thereby enabling timely maintenance and reducing the risk of catastrophic failures.