DroneHunter Systems: Real-time Drone Detection and Tracking
Overview
Built a cutting-edge airspace security solution that detects and tracks unauthorized drones in real-time. Using YOLOv5 and TensorFlow, I created an intelligent system that monitors airspace 24/7, automatically identifies drone threats, and provides security teams with actionable intelligence to protect critical infrastructure.
Hero section showcasing the DroneHunter Systems brand and mission
The hero section sets the tone with a bold, futuristic design featuring the DroneHunter brand identity. Dark backgrounds contrast with vibrant orange accents, immediately communicating the serious nature of airspace security while maintaining visual appeal. The layout introduces visitors to the system's core mission: protecting critical infrastructure from unauthorized aerial threats.
The system processes live video feeds through a YOLOv5 object detection model, identifying drones with high accuracy even in challenging conditions. Once detected, the tracking algorithm locks onto the target and predicts its trajectory.
Interactive website demonstration: how the detection system works
The web interface demonstrates the complete detection workflow—from video input to AI processing to threat visualization. Users can explore how the system analyzes frames, identifies objects, and tracks movement patterns in real-time.
System Architecture
Powered by advanced AI and real-time processing
Processing Speed
Real-time video analysis with zero lag
Detection Accuracy
Precision drone identification
Response Time
Instant threat detection and alerts
Key Capabilities
Built with TensorFlow and YOLOv5, the system leverages state-of-the-art deep learning models optimized for edge deployment and real-time inference.
Objectives
- Develop a system for real-time detection of unauthorized drones.
- Implement automated tracking of detected drones.
- Create a user-friendly interface for airspace monitoring.
- Utilize machine learning for accurate drone identification.
Key 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.