Ziv is a real-time video intelligence platform built for edge deployment.
It combines:
- GPU-accelerated surveillance
- behavioral analysis
- identity tracking
- live operator monitoring and alerts
From the landing and technical docs, the system is positioned as a multi-service surveillance platform that combines NVIDIA DeepStream inference, intelligent data transport, real-time retrieval, advanced post-processing, and an operator console on a single edge node.
Notable characteristics:
- edge-deployed with zero-cloud positioning
- under-100ms latency target
- six inference stages
- 24/7 operational model
The operator console is designed for security teams to view live feeds, review detections, manage facial identities, and monitor system logs.