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AI  CCTV Intelligence

Manage thousands of hours of footage is hard. Often missing critical events due to human limits and fragmented systems.

 

Our AI-powered CCTV modules transform passive video feeds into real-time intelligence tools—enhancing safety, response times, and operational efficiency.

Security Camera

Whether you're securing a city, an airport, or a corporate campus, our modular system lets you choose exactly what you need

CCTV Facial Recognition 

Real-time face-matching system built for law enforcement-grade deployment

Built for government clients, this facial recognition engine matches live CCTV captures with a law enforcement mugshot database. It’s fast, accurate, and integrates with existing surveillance systems. Trained for diverse lighting conditions and ethnicities, it’s ready to be fine-tuned for your database and security policies.

Key Features

  • Real-time face detection and matching

  • Supports live alerts via dashboard

  • Integrates with daily-updated mugshot lists

  • Accuracy tuning available for specific false-positive targets

  • Designed for deployment in airports, city grids, or private compounds

cctv face rec
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CCTV Behavioral Anomaly Detection

Pre-built model designed for live CCTV feeds, customizable per location

This AI system detects abnormal, suspicious, or dangerous behavior on live video feeds. Trained on real-world CCTV data, it learns what’s “normal” at each site—then flags anomalies like loitering, fights, or erratic motion. Perfect for retail, city surveillance, and secure sites where operators can’t monitor every feed.

Key Features

  • Learns per-location behavioral norms

  • Alerts on loitering, aggression, break-ins, and more

  • Works with standard CCTV systems (e.g., Hikvision)

  • Manual override and validation loop

  • Scalable across small or national deployments

CCTV Footage - textual Search

Pre-built model designed for live CCTV feeds, customizable per location

This pre-trained model lets operators search days or weeks of CCTV footage by typing natural-language queries like “man in blue jacket near red car.” It uses vision-language embeddings to index archived footage semantically. Proven in investigation teams where time and clarity matter.

Key Features

  • Search by text: “red bike near the north gate”

  • Returns timestamps, clips, and still frames

  • 30+ day retention supported

  • GUI-based query input for non-technical users

  • Compound queries supported (AND, OR)

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CCTV Footage textual Search
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