Autonomous drone for detection and tracking objects

Abstract

Our project consists of simulating and creating an autonomous drone hydrocopter, the aim of which is to identify objects and classify them, then after having identified the targets, the drone follows their suspicious movements, according to computer vision algorithms based on machine learning or deep learning. The purpose of this project is to monitor things or people for security purposes and protection against any suspicious operations such as theft or attack. This project is also used as an auxiliary tool in search and rescue operations