Real-Time UAV Tracking System

A Python-based project for real-time object detection and tracking of UAVs (drones) in video files using YOLOv8 and OpenCV. The system processes input videos, detects UAVs frame-by-frame, and outputs an annotated video with tracking overlays.

Features

• Real-time UAV detection and tracking
• Uses YOLOv8 (Ultralytics) for object detection
• Outputs annotated video with tracking information
• Automatic environment setup for Python 3.11–3.14

Getting Started

Prerequisites

• Python 3.11, 3.12, 3.13, or 3.14
• git (for cloning/forking)

Installation

1. Fork this repository on GitHub (click the "Fork" button at the top right).
2. Clone your fork:

   git clone https://github.com/YOUR-USERNAME/drone.git
   cd drone

3. Place your input video (e.g., video.mp4) in the project folder.
4. Run the tracker:

   python main.py --source video.mp4

   The output will be saved to outputs/output.mp4.

How to Fork

• Visit the GitHub fork documentation for step-by-step instructions.

Relevant Wikipedia Links

• Unmanned aerial vehicle (UAV)
• Object detection
• YOLO (You Only Look Once)
• OpenCV

Developer

tubakhxn

---

This project is for educational and research purposes. For questions or contributions, please fork and submit a pull request!