Video Data Analytics Dashboard for Anti-drone system

Mini unmanned aerial vehicles (UAVs), commonly known as small drones, have witnessed significant advancements in recent years and found applications in diverse fields such as search and rescue, wildlife monitoring, and border patrol. However, their misuse for illegal surveillance, smuggling, and potential involvement in terrorist activities poses serious concerns. Additionally, these mini-UAVs can disrupt the operations of commercial and military aircraft and infringe upon personal privacy. Hence, the development of an effective anti-UAV monitoring system is imperative to safeguard sensitive locations.In this paper, we propose a layered dashboard architecture specifically designed for an anti-drone system. Our software solution presents an intuitive interface that efficiently processes and visually represents video data captured by surveillance sensors. It incorporates AI-powered functionalities, including object detection, target tracking, and classification of small drones. To evaluate the effectiveness of the multi-layered solution, we deployed it within a no-fly zone, where it successfully identified and tracked drones in near real-time. The resulting dashboard offers a user-friendly interface and exhibits significant potential in enhancing the monitoring capabilities and prompt response to potential drone threats.