Aegis FaceGuard: AI-Powered Crime Prevention

We helped build Aegis FaceGuard, an AI-powered security platform designed to prevent armed robberies before they happen by turning existing CCTV infrastructure into a real-time threat detection system.

Retail businesses and high-risk locations face recurring armed robbery threats. Traditional CCTV systems are passive, recording footage for post-incident review rather than enabling real-time intervention. Security teams need proactive alerting, not just evidence after the fact.

We engineered a real-time AI surveillance layer that sits on top of existing CCTV camera networks, adding intelligent threat detection without requiring hardware replacement.

Real-time facial recognition against known threat databases

Behavioral anomaly detection for suspicious activity patterns (loitering, concealment, aggressive movement)

Instant alert system pushing notifications to security personnel and law enforcement

Dashboard for monitoring multiple camera feeds with AI-augmented overlays

Deep learning models for face recognition and behavioral analysis built on PyTorch

Real-time video stream processing with optimized inference pipelines

Cloud and edge deployment options for low-latency alerting

Python backend with Docker containerization for scalable deployment

The platform transforms passive surveillance into an active crime prevention tool. Security teams receive real-time alerts on potential threats, enabling intervention before incidents escalate. The system integrates with existing CCTV infrastructure, minimizing deployment cost and complexity.