DETECTION AND TRACKING OF DRONES USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A SURVEY

Enormous mechanisms and mediums are being employed to threaten the defense system and civilians. Drone strikes are one of them, which may refer to the unloading of explosions and supervision as such. So, detecting and tracking the Drone could be a viable solution for any organization to tackle the aerial threat challenges and secure the environment from malicious activities. Thus the present research discusses the current paradigm of Drone strikes, challenges and solutions to deal with such security concerns. The present article aims to examine the current status of Drone Detection critically, and the applicability and advancement of Artificial Intelligence enabled technology. The present research article also explores the working mechanism of the Object detection system and Convolutional Neural Network (CNN) on the ground level to help future researchers gain knowledge. The paper also explains the maximum reach of accuracy achieved by the various model and algorithms so that a new benchmark can be defined.