YOLOv8 Drone Detection Project Overview
The YOLOv8 Drone Detection Project is an advanced artificial intelligence system designed to detect and track drones in real-time using computer vision techniques. This project uses the YOLOv8 model to identify flying objects such as drones from live video streams, CCTV footage, or recorded videos.
The system is trained on custom datasets containing drone images captured from different angles, environments, and lighting conditions. It uses deep learning algorithms to accurately detect drones even at long distances.
Key Features of the Project
Real-time drone detection using YOLOv8
High accuracy and fast processing speed
Works with webcam, CCTV, and drone cameras
Custom dataset training support
Bounding box detection with object labeling
Easy integration with security systems
This project includes complete source code, dataset, model training files, and deployment guidance, making it suitable for final year students and AI enthusiasts.
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