Phantom Eye

An intelligent surveillance system for real-time detection of vehiclPhantom Eye Pro: Real-Time AI Computer Vision & Analytics System

An advanced, real-time AI vision system engineered for complex video analytics, motion tracking, and object intelligence. The system leverages modern deep learning models and computer vision pipelines to analyze live video feeds with high precision and sub-millisecond efficiency.

🚀 Key Features:

Real-Time Object Tracking: Intelligent detection and continuous tracking of specified targets, players, or objects across dynamic environments using advanced tracking logic.

High-Performance Video Pipelines: Custom multi-threaded video processing architecture to handle high-resolution live camera feeds smoothly without frame drops.

Analytics Dashboard: Integrated visualization interface showcasing real-time metrics, live counts, and tactical data extracted directly from the video stream.

Optimized Architecture: Built with clean, maintainable Python code adhering to strict object-oriented programming (OOP) principles for seamless scalability.

🛠️ Tech Stack & Tools Used:

Core Language: Python (Advanced OOP & Multithreading).

Computer Vision: OpenCV (Open Source Computer Vision Library).

AI & Detection: Advanced object detection APIs and customized deep learning models.

Development Environment: Cursor AI & VS Code.es, faces, and objects using live camera feeds.