The AI-Based Drone Detection & Tracking System is an advanced surveillance project that uses Artificial Intelligence (AI), Computer Vision, and Embedded Systems to detect and automatically track drones in real time.

The system continuously captures live video through a camera and processes each frame using AI-based object detection algorithms. When a drone is detected, the pan-tilt mechanism automatically adjusts the camera’s position to keep the drone centered, enabling continuous monitoring without manual intervention.

This project demonstrates the integration of AI with embedded hardware, making it suitable for modern security and surveillance applications.

Project Features

• Real-Time Drone Detection
• AI-Based Object Recognition
• Automatic Camera Tracking
• Pan-Tilt Servo Mechanism
• Live Video Processing
• High Accuracy Detection
• Compact Prototype Design
• Easy to Upgrade for Advanced Applications

Technology Used

• Artificial Intelligence (AI)
• Computer Vision
• OpenCV
• Python
• Arduino / ESP32
• Servo Motor Control
• Embedded System Design
• Camera-Based Object Tracking

Applications

• Airport Security
• Border Surveillance
• Defence Monitoring
• Smart City Security
• Industrial Area Monitoring
• Restricted Zone Protection
• Research & Educational Projects
• Critical Infrastructure Security

How It Works

1. The camera captures live video continuously.
2. AI processes the video in real time.
3. The drone is detected using object detection algorithms.
4. The system calculates the drone’s position.
5. Servo motors automatically rotate the camera to follow the drone.
6. The drone remains tracked until it moves out of range.