AERIAL VEHICLES DETECTION SYSTEM BASED ON ANALYSIS OF SOUND SIGNALS

Abstract

The article presents a modern aircraft detection system based on the analysis of sound signals, developed using neural networks and sound analysis algorithms. During the development of the system, the latest technologies were used, such as acoustic sensors, single-board microcomputers and external devices for processing and storing information received from the environment, which ensures fast and accurate detection of aircraft in the air. The involvement of such technologies made it possible to improve the detection of unauthorized aircraft, which will make a significant contribution to the security of individual objects and entire states. Keywords – aerial vehicles detection system, neural networks, security, acoustical sensors, single- board microcomputers.