DroneHunter Systems

Welcome to the official repository for DroneHunter Systems.

Introduction

DroneHunter Systems is a cutting-edge solution for monitoring and securing airspace from unauthorized drones. This is designed to detect, track, and neutralize potential threats from unmanned aerial vehicles (UAVs).

Features

• Real-time Detection: Utilizing advanced sensors and detection algorithms, DroneHunter Systems can identify drones in real-time.
• Automated Tracking: Once a drone is detected, our system automatically tracks its movement across the airspace.
• User-friendly Interface: The system provides an intuitive interface for users to monitor the airspace.

Technologies Used

• Python: Python is the primary programming language used to train the YOLOv5 model.
• YOLOv5: YOLOv5 is real-time object detection system that is used to detect drones in the airspace.
• TensorFlow: TensorFlow is an open-source machine learning framework that is used to train the YOLOv5 model and convert it to a javascript model so that it can be used in the browser.
• Bootstrap: Bootstrap is a front-end framework that is used to design the user interface of the DroneHunter Systems website.

Usage

Just navigate to the DroneHunter Systems website and follow the instructions to get started.