Drone detection using YOLO.

The paper intends to build a drone detection system using machine learning and deep learning algorithms. The system could differentiate between a drone and other flying objects like a different type of bird and recognize it. It also covers the various algorithms implemented for the development of drone detection systems. The research work uses YOLO algorithm as it is very efficient and widely used algorithm. Using the YoloV4 model, 85% of accuracy is obtained by classifying the images of the military drones in the 'aeroplane' category. It is one of the classes 'coco' dataset files. YoloV4 algorithm detects the drones which are based on deep convolutional neural networks. YoloV4 model is one of the most tested and stable versions of the YOLO. Once the drone is identified by the model, it will switch on the alarm to indicate drone detection. [ABSTRACT FROM AUTHOR]