Project ARMI

Project ARMI
Featured

🔍 85% identification accuracy with 60% reduction in search time.

Advanced Facial Recognition

Achieve 85% identification accuracy even in challenging conditions. Our system uses sophisticated neural networks to identify distinctive facial features and create reliable matches across diverse public camera networks. 👤✓

Accelerated Search Operations

Experience a 60% reduction in search time for missing persons cases. Our system processes camera feeds in real-time, allowing authorities to cover more ground and respond faster to potential sightings. ⚡🔎

Cutting-Edge Technology Stack

Built with TensorFlow, Python, and OpenCV for superior facial recognition capabilities. AWS Rekognition integration enhances identification accuracy while maintaining strict privacy protocols and ethical guidelines. 🧠💻

Modern Web Interface

Access the system through an intuitive Next.js and TypeScript interface that enables seamless case management, real-time alerts, and comprehensive reporting for missing persons investigations. 📱🌐