Self-Controlled Drone.


EOI: 10.11242/viva-tech.01.04.094

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Citation

Ms. Saurabh Guchait, Ms. Mayuri Dudam, Ms. Mohammed Aquib Khan, Prof. Pratik Parsewar, "Self-Controlled Drone.", VIVA-IJRI Volume 1, Issue 4, Article 94, pp. 1-5, 2021. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

We all have seen drone at some point of our life. Drones are unmanned vehicles. For layman drones are usually „Quad-copters? .Quad-copter is more like a small helicopter with four rotors attach to it. In this project we will be using a similar Quad-copter. You will be surprised to know that first manual quad-copter was invented in 1920 by Etienne Omnichen. And now the quad-copters or drone works on remote control. And in recent years due to the increase in artificial intelligence and machine learning era there are drone which fly on their own without much involvement of human. These types of drone are known as autonomous drone. But the problem with these type of traditional autonomous drone are that they work using ultrasonic sensors. The use of ultrasonic sensor in these drones increases the reaction time to react to an obstacle which simultaneously decreases the latency of the drone. So it is not a good option to use these drones in public places. To tackle such problems we are proposing our project which is „Self-Controlled Drone?. In this project we try to make an autonomous drone which will be using a camera sensor instead of an ultrasonic sensor. Use of various machine learning and artificial intelligence algorithms as well as image processing programs will make the drone work autonomously by taking input from the camera sensor, processing on the input and react accordingly. The use of the camera sensor in the drone will increase the latency of the drone and decrease the reaction timing. Another thing is that to travel the drone from one place to another we will be using a GPS module, which will guide the drone. The making of this drone will bring a change in the drone culture and will help to make the drone more safer and efficient to use in public spaces.

Keywords

Algorithms ,Artificial Intelligence, Autonomous, Drone, Machine Learning, Microcontroller, Obstacle Detection, Programming ,Quad-Copter, Sensors.

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