Publication

Abstract : The usage of Unmanned Aerial Vehicles(UAVs) are increasing day by day. UAV’s usage for terrorism activities is one of the main threats faced by every country. As per THE HINDU news media, there are 6 lakh rogue drones in India. The ineffectiveness of standard air defence systems against tiny, sluggish, low-flying UAVs has been acknowledged in the National Counter Rogue Drone Guidelines. Due to their various sizes, flying characteristics, capabilities, performance parameters, missions, and weaknesses, the growing drone threats are challenging to fight. So an efficient UAV detecting system is required to detect the UAVs and prevent these illegal activities using UAVs. So for the first, this paper proposes a Generative Adversarial Network (GAN)-based method to detect the UAVs. Pix2Pix generative adversarial network framework for this UAV detection model.