Entrance footfall, floor occupancy, and heatmaps on the AI Edge Analytic Box. Designed for doorway accuracy and fire-code occupancy limits. Professional is typical for multi-door malls (up to 16 AI streams).
Mall operators need reliable doorway footfall and floor occupancy without replacing cameras. The AI Edge Analytic Box counts entries and exits at configured lines, estimates occupancy, and reviews heatmaps — inference stays on-site. Accuracy is highest with a clear overhead view at a single door; open atriums and crowding are harder. Multi-entrance malls usually need Professional (up to 16 AI streams).
Recommended hardware: Professional for multi-door sites; Standard for a single counting entrance. Capability deep-dive: People Counting AI.

Separate lines per gate, anchor store, and parking structure.
See where visitors linger — food court vs. luxury wing.
Compare Saturdays, holidays, and campaign weekends.
Local alerts when floors approach capacity limits.
With overhead or high-angle doorway views, entry/exit counting is typically reliable enough for staffing and fire-code occupancy trends. The edge box uses ByteTrack-style tracking to reduce double-counts when crowds bunch at doors. Open atrium views are harder — we recommend dedicated counting lines at each entrance. Exact rates depend on camera angle and crowding.
Yes. Assign counting lines per entrance and zone polygons per floor. The dashboard shows live occupancy, peak hours, dwell heatmaps, and historical trends. Occupancy cap alerts fire locally before cloud sync.
All inference and hourly rollups run on the AI Edge Analytic Box. Internet is only needed if you want centralized dashboards across multiple malls — counts buffer locally until sync.
The mall application is our retail-footfall deployment guide — same Vision Engine models, packaged for shopping centers with multi-entrance layouts. Technical deep-dive: /ai/people-counting.