An Object Detection and Tracking System for Drone Navigation (WIP)

Automatic object tracking and following using a RYZE Tello drone, and OpenCV in C++.

This project was done as my 3rd year project for university, contributing 40 credits for my 3rd year grade. It was assessed via a video demonstration, report, and short interview.

Summary

• Creating embedded software, to run on a drone, that allows it to follow and film a specified object. For use in vlogging, cinematography, etc.
• Detect a specified object through Object Detection, using OpenCV.
• Test, evaluate, and improve the system with real world live tests. Describe the development process and evaluate the system in a project report and showcase video

Developed Using

• CTello - Available at: https://github.com/carlospzlz/ctello
• CMake (Developed using CMake 3.25)
• OpenCV (Developed using OpenCV 4.6 with opencv_contrib installed)
• Visual Studio

Video Demonstration

WIP

Report

WIP