Real-time AI surveillance
Continuous detection across live camera feeds — YOLOv8-based pipelines tuned for accuracy at production frame rates.
NTRA is the Computer Vision and AI solutions division of Nanta Tech Limited, building real-time AI vision systems that turn cameras into intelligent platforms for detection, analytics, and operational decision-making.
Combining Computer Vision, Deep Learning, and Edge AI to deliver fast, secure, scalable enterprise systems for surveillance, monitoring, security, and operational intelligence.
Operational outcomes shipped on top of your existing camera fleet — continuous detection, edge-deployed inference, and event delivery into the systems your teams already use.
Continuous detection across live camera feeds — YOLOv8-based pipelines tuned for accuracy at production frame rates.
DeepSORT-based identity continuity across overlapping cameras with unified event correlation per site.
One dashboard surface for alerts, event timeline, and per-site metrics across the camera fleet.
On-prem GPU appliances run detection locally — no video leaves the network, no cloud round-trip per frame.
42ms detection latency end-to-end with event delivery via webhook or REST into existing SOC and VMS stacks.
REST APIs, webhook event delivery, MongoDB-backed audit trail, and connector-friendly output for BI, VMS, and BMS.
NTRA is designed to deploy inside the operational stacks enterprises already run. Inference happens at the edge on commodity GPUs, events flow into your existing SOC, VMS, and BI tools, and operators work through role-scoped access — without rebuilding your security or operations architecture.
Air-gapped or VPC deployments supported. PHI and PII stay on your network. Every event is timestamped, clipped, and searchable for downstream investigation.
The platform is configured per-vertical during deployment — model tuning, zone definitions, and event thresholds calibrated to each operational environment.
Crowd analytics, ANPR, and public-safety event detection across municipal infrastructure.
Footfall, queue, dwell, shelf-out, and loss-prevention signal from in-store cameras.
PPE compliance, restricted-zone monitoring, and incident detection on production floors.
Fall, wandering, and PPE monitoring across wards, corridors, and clinical areas.
Perimeter, dock, and asset monitoring across fulfillment centres and logistics yards.
Passenger flow, baggage, restricted-area, and perimeter security across terminals.
ANPR, red-light, speed, and accident detection across junctions and corridors.
Tailgating, occupancy, parking ANPR, and workplace safety across enterprise sites.
Production-grade computer vision with the latency, accuracy, and deployment posture enterprise operations require — measured on the floor, not in marketing decks.
Enterprise-grade AI vision for surveillance, monitoring, operational intelligence, and real-time decision support — deployed on the cameras and infrastructure you already run.