This thesis project presents a novel approach for detecting corrosion using drone-based surveillance systems by modifying the YOLOv5 object detection model and deploying it to a VOXL 2 flight controller for real-time image processing. The central goal is to enhance the model's accuracy in detecting corrosion …

This is a thesis on developing software that detects things using machine learning and computer vision algorithms. Furthermore, the application includes the use of RTDE to operate a robotic arm that can take the fruit and deliver it to a certain location.