<title>Abstract</title> Unmanned Aerial Vehicles (UAVs) have become indispensable for navigating complex terrains, accessing remote or hazardous locations, and capturing high-resolution imagery. This paper presents an innovative approach to object detection specifically tailored for computer vision applications in UAVs. Traditional deep learning models such as RCNN, Fast RCNN, and YOLO often face challenges in detecting occluded, blurred, or clustered objects and struggle with simultaneously identifying and tracki…