Precision Drone Tracking in Infrared Videos for Target Aiming
An advanced system for real-time drone detection and tracking in IR videos, enhancing target acquisition and aiming accuracy.
Project Overview
This project develops an advanced infrared (IR) drone tracking system designed to enhance target aiming in defense and surveillance applications. By leveraging state-of-the-art deep learning models, the system detects and follows drones in real-time, even in low-visibility conditions.
Features
- Infrared-Based Detection: Accurately identifies drones in IR video streams, overcoming challenges like low contrast and high noise.
- Real-Time Tracking: Uses robust tracking algorithms to follow drones dynamically.
- Adaptive Target Locking: Ensures precise target acquisition for defense applications.
- Optimized Performance: Balances high accuracy with real-time processing efficiency.
Demonstration of real-time drone tracking in IR video.
Challenges & Solutions
- Low Contrast & High Noise in IR: Implemented advanced noise filtering and contrast enhancement techniques.
- Real-Time Processing: Optimized inference speed with model optimization and hardware acceleration.
- Robust Tracking: Integrated deep learning-based tracking for smooth motion handling.
Results
The system achieves high tracking accuracy while maintaining real-time performance, making it ideal for applications requiring precision drone tracking in infrared imagery.