ZAISENSE is built on a two-layer model that places intelligence where it is most effective: on-device at the source, and in the cloud where enterprise visibility and coordination matter. The result is faster, lighter, and more resilient than server-bound alternatives.
Legacy video analytics platforms stream raw footage to central servers for processing. That creates latency, privacy exposure, bandwidth costs, and a single point of failure. ZAISENSE eliminates all four problems simultaneously.
The edge is where the real work happens. Every ZAISENSE sensor is a self-contained AI computer - not a passive camera feeding footage to a server somewhere else. The intelligence lives inside the device itself.
SmartCam runs dedicated neural networks for people detection, demographic classification, cross-camera re-identification, and dwell timing - all simultaneously, all in real time. Pano runs heatmap accumulation, pathmap generation, footfall counting, and zone density analysis.
The moment processing is complete, the raw frame is discarded. What remains is clean, structured, anonymised intelligence - ready to be transmitted to the cloud as a fraction of the data a video stream would require.
ZAISENSE Cloud receives structured intelligence from every device across every location and transforms it into the dashboards, reports, alerts, and integrations that power enterprise decisions.
Where the edge layer is about speed and privacy, the cloud layer is about breadth and depth. Individual device data becomes multi-location intelligence. Hourly snapshots become weekly trends. A single zone's heatmap becomes a portfolio-wide layout strategy.
ZAISENSE Cloud is also the integration hub - the point where spatial intelligence connects to your POS, CRM, ERP, BMS, and BI tools via open REST API and webhooks.
Each ZAISENSE device communicates with ZAISENSE Cloud over encrypted HTTPS connections. Only processed, structured data points are transmitted - never raw video. The payload per device is a fraction of what a video stream would consume.
If connectivity is lost, the edge device continues operating normally. SmartCam buffers processed data locally. Pano stores up to 90 days of full analytics data on its 8GB internal storage. When connectivity is restored, all buffered data syncs to the cloud automatically - zero manual intervention, zero data loss.
This means a temporary internet outage at your store does not create a gap in your analytics. Your historical data remains complete and your trend analysis stays accurate.
| Raw video transmitted | Never |
| AI processing location | On-device (edge) |
| Cloud dependency for capture | None |
| Local retention (Pano) | 90 days · 8GB |
| Cloud dashboard latency | <5 seconds |
| Integration method | REST API + Webhooks |
| Simultaneous locations | Unlimited |
| Offline resilience | Full - auto-sync on restore |
The edge-first, cloud-unified model solves the four fundamental problems that plague every competing analytics architecture.
Raw video never leaves the premises. Regulators, customers, and compliance teams can be fully reassured that ZAISENSE is surveillance-free by technical design - not just by policy. There is no configuration, no opt-in, no administrator override that would ever cause footage to be transmitted or stored in the cloud.
Transmitting structured data points uses a fraction of the bandwidth that video streaming would require. A single ZAISENSE SmartCam transmits less data per day than a single email attachment. ZAISENSE works reliably on standard retail or office internet connections with no dedicated bandwidth provisioning.
Each edge device operates completely independently. A cloud outage, network disruption, or individual device failure affects only that specific node - the rest of your deployment continues uninterrupted. Pano's 90-day local storage means no analytics gap even during extended connectivity loss.
No on-premises servers. No GPU racks. No specialist IT staff to operate and maintain a central processing infrastructure. ZAISENSE sensors connect to standard PoE network switches and the intelligence runs entirely on-device. Scaling from 1 location to 1,000 requires no additional server investment - just additional sensors.
Talk to our solutions engineering team about how the ZAISENSE edge-cloud architecture maps to your network, privacy, resilience, and integration requirements.