RAILWAY SECURITY SYSTEM DESIGN BY IMAGE PROCESSING AND DEEP LEARNING UNMANNED AERIAL VEHICLE

With the developing technology, technological blessings make human life easier and help them every day. Unmanned aerial vehicles (UAV), which is one of blessings, have shown themselves in many fields, especially fields such as military, defense industry, photography, hobby. development systems with UAVs, security railways has also been left to UAVs. In this study, while foreign matter separation made on railway by using deep learning model real-time, image taken UAV simultaneously controlled processing method. The fact that a 0.99 mAP rate increases reliability model.