An example application for an identification of friend and foe (iff) system appropriate for unmanned aerial vehi̇cles (uav) based on deep learning

Unmanned aerial vehicle (UAV) systems are used for the solution of different problems that exist in different fields, in a way that pushes the limits of the human imagination. The services provided by UAV systems are used in the process of many sectors and in daily life. Security is one of the areas UAV systems are used, in line with the historical origin of the system. Undoubtedly, as in every technological innovation, in parallel with the increase in the use of UAV systems for the benefit of humanity, there is also an increase and diversification in illegal activities. Due to the fact that UAV systems offer cheaper, risk-free and cost-effective solutions, there is a global increase in the frequency and diversity of the use of them by terrorist organizations. It would not be an exaggeration that the airspaces, which have been under the sovereignty of states until today and where terrorist organizations did not exist much, are now used by them. Despite the complex and expensive detection, identification, warning and prevention systems that states continue to develop to prevent air threats, the fact that terrorist organizations can carry out attacks with simple and inexpensive UAV systems confirms this determination. Based on the assumption that an UAV-based method can be developed for the solution of the identified problem, in this study an autonomous system has been tried to be developed that can perform control, surveillance and safety flight in a certain airspace, detect intruder systems during flight and lock on them with its software.