Drone Detection and Tracking Using Image Processing

The rapid increase in the use of unmanned aerial vehicles (UAVs) has raised serious security concerns in restricted and sensitive areas. Traditional radar-based systems are expensive and ineffective for detecting small drones at low altitudes. This paper proposes an image-processing-based drone detection and tracking system using deep learning and computer vision techniques. The system detects drones in real-time video streams and tracks their motion using object tracking algorithms. Experimental results demonstrate improved detection accuracy and real-time performance under complex backgrounds and varying lighting conditions.