Real Time Object Detection With Drone Using Deep Learning Algorithm

Abstract

In that work, a type of an unmanned aerial vehicle (UAV) called quadrotor with an object detection system is the subject that we will talk about. The main objectives of our work is the detection of chosen objects from the quadrotor. For that, there are two parts presented, the first one, a detailed description of the mathematical effects that applied to the structure of our system and how we implemented our system with showing all the parts, and we used the PID controller to stabilize the system. In the second part, we will talk about artificial intelligence generally and deep learning specifically and we will show how exactly the detection happen using the right technics and algorithms with Yolov5 and which version we will use. Finally we will make a real test with the real time showing our prototype working in the field.