How many came in, where they
spent time, what they walked past.
Footfall at the door. Heatmaps by aisle, shelf, or zone — the parts of the floor that earn their rent and the parts that don't. All from CCTV alone — no beacons, no apps, no app-store data-protection grief. Looking for vehicle analytics on a forecourt or car park? See forecourt analytics.
Three signals from your existing CCTV.
How many came through the door?
People counted at every entrance, by direction, by 15-minute bucket. Day-on-day comparison, weekend-vs-weekday, weather-adjusted. The clicker at the door, made obsolete.
Where do they actually spend time?
The most-visited shelf, the aisle people walk past without stopping, the display that holds their attention. Aggregated across days; the heatmap tells you what's working without naming a single person.
The path through the space.
Most-common routes from door to till. Which displays interrupt the natural flow and which don't. Bottlenecks at peak. Useful for layout decisions long after the fact.
When the floor is busy and when it's empty.
Hourly footfall and dwell, plotted across the week. Match staffing to actual demand, not a guess from last quarter. Ties cleanly into your rota.
Counted, not identified.
People are tracked by appearance and trajectory, not by face. All processing of facial features happens in RAM; nothing biometric is persisted. Heatmaps, footfall, and route patterns are aggregate signals — useful to the operations team, useless for identifying any individual visitor.
What you receive, row by row.
First detection on day one. No financial commitment for two weeks.
If we can't reach the accuracy you agreed within two weeks, you pay nothing — and we remove anything we installed.