Modeling Deep Neural Networks For Drone Identification

In the beginning, only the military used drones. The drones can be simply transformed into lethal weapons by adding explosives. Terrorists have reportedly attempted attacks using drones. Drones are challenging for traditional RADAR to detect because of their small size and weak electromagnetic signals. Both the business sector and the academic community evaluate a counter mechanism. Early kinds of drones were far more visible than they are now, but as time went on, they shrank and grew more intelligent. More people are in danger at public events now than ever before, thanks to developments in drone technology and capacity. Concertgoers, sports enthusiasts, and others may feel more secure thanks to actions taken to lessen the impact of these threats. Business meetings, sporting events, and concerts are all vulnerable to disruptions from drone technology for different reasons. High-quality photographs and videos taken by drones might be used to eavesdrop on or profit from exclusive events. Drones might make it easier for criminals to take audio or video from a concert or sports event, as well as sensitive company data. As a result, keeping an eye out for drones in restricted areas and nabbing them before them because trouble is essential to keeping the peace