Security · Smart Cities
AI Video Analytics, Real-time Surveillance
Real-time video analysis with object detection, pedestrian tracking, face recognition, and motion analysis, deployed across security, retail, and smart-city installations.
Real-time
Stream processing
Multi-class
Object detection
01
The Challenge
Security and smart-city deployments stream thousands of camera feeds that humans can't realistically watch, meaning incidents are caught after the fact, retail loss-prevention lags, and high-value alerts drown in noise.
02
Our Approach
We built an NVIDIA DeepStream + YOLOv8 pipeline tuned for multi-class detection, pedestrian and vehicle tracking, motion-based event triggers and optional face-recognition with privacy controls, all deployable on edge GPUs or central servers.
Operators see live, scored alerts instead of raw video. Incidents get flagged in real time, false positives drop, and security and retail teams shift from passive monitoring to proactive response.
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