Volume 11, Number 14, September 2021

An Intelligent Drone System to Automate the Avoidance of Collison
using AI and Computer Vision Techniques

  Authors

Steven Zhang¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA

  Abstract

People love to fly drones, but unfortunately many end up crashing or losing them. As the technology of flying drones improves, more people are getting involved. With the number of users increasing, people find that flying drones with sensors is safer because it can automatically avoid problems, but such drones are expensive. This paper describes an inexpensive UAV (unmanned aerial vehicle) system that eliminates the need for sensors and uses only the camera to avoid collisions. This program helps avoid drone crashes and losses. We used the Tello Education drone as our testing drone, which is only outfitted with a camera. Using the camera feed and transmitting that data to the program, the program will then give commands to the drone to avoid collisions.

  Keywords

Memory leak, Resource table entry utilization, Correlation coefficient, Time Sequence monotonicity, Machine Learning.