The use of drones for both military and civilian purposes has significantly increased in recent years. Their affordability and extensive capabilities for solving a wide range of tasks, including entertainment, make them very attractive to a broad audience. Unfortunately, incidents involving drones are constantly increasing, necessitating the introduction of regulatory requirements for their use in conjunction with the use of technologies for their detection, recognition, classification, tracking, and eventual interception. This paper attempts to classify existing unmanned aerial vehicles based on their parameters and purposes. The research analyses technologies for the detection and recognition of unmanned aerial vehicles (UAVs) based on radar, radio frequency, optics and acoustics.