DRONE OBJECT DETECTION MODELS FOR HIGHLY RESTRICTED AREAS

Abstract: Unmanned Aerial Vehicles (UAVs), colloquially referred to as drones, have witnessed exponential growth in their usage across diverse domains, ranging from agriculture and infrastructure inspection to surveillance and cinematography. This surge in popularity has been facilitated by advancements in drone technology, making them more accessible, affordable, and versatile. However, along with their myriad benefits, drones also pose challenges, particularly in areas such as privacy, security, and safety. As such, the development of robust drone detection systems becomes imperative to address these concerns and ensure responsible drone usage.

Keywords: DCSASS Dataset, Deep learning algorithms, ResNet50, I3D.