Military Grade FPV Drone for Enemy Recognition

Abstract

The drone is self-made using raspberry pi and different drone components like a flight controller, gold plated motors, jio-fi Router, battery, camera, and much more equipment. The raspberry-pi present in the drone is equipped with ML-Algos which uses the camera to detect and recognize enemies and the operator using an android application which remotely controls all these. It will render real-time video from the Raspberry-pi with the help of a jio-fi router and will show which enemies are detected. Moreover, due to the first-person view, the operator will be able to know the expected position of the enemies too far planning his/her prior approaches. Moreover, the drone is equipped with a modern Network Jammer, made using the knowledge of cybersecurity, which will disable all the networks in the area so that there cannot be any reinforcement from the target enemy side. Drone helps in the surveillance process by rendering over an area and providing us with information about the place. The use of CNN and some more algorithms of machine learning helps the drone to function well in regards to recognizing any object and especially the faces of the person. Rendering of the video will be done through the android base application which will provide the rendering of the environment. The drone can be controlled in two ways. One of which is through manual use and the other way is by being fully controlled by the application that is the software. In this process, the control is given in the hand of the software where it would be controlled by the android-based application. Drones are of two types civil drones and Military drones and both them can be different in their usage as well as the manufacturing process in civil drones the payload will be less because it is not used for the officials' purpose, in the military grade FPV drone, the payload should be of the few measurements so that it can be used for the officials' purposes and others.