Shop managers · store ops · multi-site retail
Face / body / both across entrances and floor cameras.
See how customers move through aisles and zones.
Occupancy, dwell, path, and co-presence → mobile, email, webhook.
Busy hours by area — not guesswork from the till.
Where shoppers linger versus pass through.
Ops get digests and alerts; video never has to leave the store.
Occupancy / dwell / path / co-presence fire operational actions.
Same playbook across stores without cloud video.
On-prem processing; managers see signals, not a public stream.
Video stays on premises by design.
Timestamped occupancy and incident records when needed.
Start with one floor; expand to the chain.
Traffic is not insight. Movement is.
Counts, paths, heatmaps, dwell — video stays in-store.
Camera Analytics
Analytics
Advanced Analytics
Triggers
Multi-Camera
Stakeholders who win when this story is live
See how customers move — not only that someone walked in.
Busy-hour planning and zone staffing from live occupancy.
Comparable movement intelligence across the network.
The EyeNet applications that power this use case
People counters, demographics, heatmaps, and crowd behaviour for entrances and corridors.
Aggregated people-activity analytics for floors, zones, and campaigns.
Deployment configurations for this story
Camera Input
Central data acquisition for visual intelligence
Spot Mode
Precise monitoring of fixed, close-range areas
Gate Mode
Comprehensive monitoring of entrances, exits, corridors
Area Mode
Wide-area surveillance for large spaces
Capabilities and target users for this story
Shop managers need how customers move through the premises — not only that someone entered. EyeNet turns existing cameras into counts, paths, heatmaps, dwell, and occupancy with behavioural alerts. Video stays in-store.
Key Features:
Target Users:
Shop managers, store operations, and multi-site retail networks.
Available Modes:
Gate, Spot, Area
Jump to the product site, the cite-backed value page, or the full use-case hub.