A REVIEW ON IMPROVEMENT OF DRONE DETECTION AND TRACKING SYSTEM USING ARTIFICIAL INTELLIGENCE

Abstract

The development of the drone industry has led to an increase injudicious, unauthorized, and illegal drone use, which has resulted in significant harm to society and the economy. They look at some major incidents involving drones around the world and identify essential characteristics for upcoming anti-drone systems. According to this study, the drone industry has made drones that can be used in everyday life available to the general public because of the widespread interest in them. However, as the use of drones became more widely available, the likelihood of accidents has increased, raising concerns regarding safety and security: slipping out of control, colliding with others, or breaking into secured properties. It is fundamental for the two eyewitnesses and the robot to know about an oncoming robot for wellbeing reasons. This paper presents a comprehensive drone detection system based on machine learning as a result of a literature review of various studies and the various issues encountered. All of these issues will be addressed by future research.