This repository contains my practical work and experiments with the DJI Tello EDU drone using Python.
It reflects my hands-on learning process in drone control, computer vision, and real-time tracking.
This repository includes multiple Python scripts created while exploring different aspects of controlling the Tello drone, such as:
- Drone movement and flight commands
- Camera stream handling
- Computer vision with OpenCV
- Real-time object and face tracking
The codebase is experimental in nature and represents incremental learning rather than a single finalized application.
The main and most important file in this repository is:
This script implements real-time face tracking, allowing the drone to:
- Detect a human face from the live video stream
- Automatically adjust its position
- Keep the detected face centered in the frame
This file represents the most complete and functional result of the work in this repository.
- Python
- DJI Tello EDU SDK
- OpenCV
- NumPy
- Real-time video streaming
- Multiple
.pyfiles — individual experiments and prototypes face_tranking.py— main face-tracking implementation- Supporting scripts for testing drone movement and camera feed
Some files may overlap in functionality as they were created during different stages of learning.
- Practice drone programming and control
- Learn computer vision in real-time systems
- Understand feedback-based motion control
- Build a foundation for autonomous drone projects
- PID control for smoother tracking
- Object tracking beyond faces
- Obstacle avoidance
- Code refactoring and modularization
- ROS / ROS2 integration
Click on the image below to watch the real-time face tracking demo using DJI Tello EDU:
Developed by Rassul
This repository documents my personal learning and experimentation with drone programming.