Watch the floor breathe. In real time, in every aisle.
Store heatmap analytics in real time, overlaid on your floor plan. Hourly footfall by zone. Queue-management alerts when a till backs up. The visual answer to 'where do I move my team right now?'
Three visual layers. One floor plan.
Density today. Density this hour. Density right now. All overlaid on the store layout image, no abstract dashboards.
Live density heatmap
Where people are, right now, by aisle and zone. Overlaid on your actual store layout. Updates every few seconds.
Hourly footfall by zone
How customers moved through the store today vs yesterday. Spot the under-visited aisle and the always-busy bottleneck.
Queue-management alerts
Threshold-based pushes to the floor team. 'Open Till 3, move 2 staff.' Arrives on the handsets already in their pockets.
Your floor plan + your cameras. Mapped once.
Upload a floor plan image. Place each camera on it. QuantumEye does the rest, every count is positioned in space.
Camera-to-floor alignment
Drag each camera to its real position on your floor plan. One-time setup per store. The system learns the camera's field-of-view automatically.
Anonymous people-counting
Per-camera, per-frame, per-zone counts. Aggregated into 5-minute buckets. No identities attached, just movement.
Threshold-based pushes
Configure thresholds per zone. Alerts route to the handsets your team already uses.
Late afternoon, a queue starts to back up at the kiosk.
Illustrative scenario. The over-occupancy threshold trips and a push goes to the floor team's handsets, 'Open Till 3, move 2 staff'. The queue clears, customers stay, sales don't walk out the door.
Store Heatmap
Footfall density by zone · last 7 days
Pairs well with
Business Analytics
Footfall, demographics, dwell. Daily and regional briefs that turn cameras into ops intelligence.
GuardSafety Events
Restricted areas, max occupancy, PPE checks and loitering, turn any zone into a rule.
PulseWhitelist Groups
Staff, VIPs, suppliers, contractors, granular access, enrolled in seconds in the dashboard.
People counted. Never identified.
Footfall counts are entirely anonymous. The face graph plays no role in the analytics counts, they're computed from people-detection (not face-recognition) signals.
People-detection, not face-recognition
Counts come from anonymous person bounding boxes, no face embedding, no identity, no lookup.
Aggregated into 5-minute buckets
The system never retains per-individual movement traces. Only zone-level aggregates per 5-minute interval.
Heatmap visualisation is decorative
The visual heatmap is a render of the aggregate. No per-customer trail can be reconstructed from it.
See your floor plan, your queues, your bottlenecks.
Bring a floor plan to the demo. We'll show you where the cameras already are, and where they could be giving you signal.