Design And Implementation Of Aircraft Intrusion Warning System Based On Deep Learning

In recent years,with the maturity of drone technology,drones have been widely used not only in the military field,but also in the civilian sector.However,the "black flying" and "indiscriminate flying" incidents of drones frequently occur,which not only infringes on the privacy of individuals,but also seriously jeopardizes public safety.So far,there is no mature anti-drone system in China.The foreign systems are limited in detection distance and accuracy,and the recognition is not high enough to meet the actual needs.The system collects images through the network camera and performs deep learning algorithm processing on the collected images to realize detection and tracking of the unmanned aerial vehicle.