ANALYSIS OF EXISTING APPROACHES AND LIMITATIONS OF MODERN COMPUTER VISION AND MACHINE LEARNING ALGORITHMS IN THE DETECTION OF UNMANNED AERIAL VEHICLES

Introduction. The current state of development and application of unmanned aerial vehicles (UAVs) in both civilian and military domains is examined, highlighting the growing need for eff ective means of detection and counteraction, particularly around critical infrastructure sites. It is established that one of the promising directions is visual UAV detection using computer vision and machine learning algorithms.