The problem
Why customer counts often don't add up
Numbers inflated by staff
Sales assistants, stock handlers and suppliers walk through the door dozens of times a day. A traditional people counter adds them to your customers, and the figure loses its value in exactly the hours that matter.
Every door tells a different story
Main entrance, car-park access, side door: if you count only one, or add them up without removing duplicates, you don't know how many different people actually came in.
Dedicated hardware in every store
Ceiling sensors and beam counters need installation, cabling and maintenance in every location. And they stay cut off from the rest of your data, from the till to the weather.
How it works
How customer counting with cameras works
No extra sensors: Kontrol Flow uses the IP cameras already installed and analyses them right in the store.
We connect the entrance cameras
Together we pick the cameras that cover your doors and entrances: on each one we draw the counting line and mark which entrances are main entrances.
We count customers, not staff
The edge device in the store tells customers and staff apart: employees are excluded automatically from every count.
No double counts within 30 minutes
Every entrance marked as a main entrance counts visitors; the same customer, tracked anonymously across the cameras, is counted only once within a 30-minute window.
You read the numbers in the dashboard
Visitors per hour, per day and per door, the peak hour and the weekly heatmap, live and over time.
What you measure
What you measure with people counting
Unique visitors
Counted across all main entrances: anyone who leaves and comes back within 30 minutes counts only once.
Entries and exits per door
Counts per entrance and direction, to see which door works hardest.
Visitors per hour and peak hour
The busiest hour of each day and the rhythm of entries throughout opening hours.
Weekly traffic heatmap
Day of the week × hour: when the store is busy and when it's empty.
Daily average and trend
Average daily visitors, compared with previous weeks and months.
Store comparison
The same figure for every location in your network, with rankings and a map.
An example
The Saturday that looked normal
A store with two main entrances re-reads a day of traffic after excluding staff and re-entries within 30 minutes.
- Inbound passes detected
- 1,240
- Staff passes excluded
- −310
- Re-entries within 30 minutes, counted once
- −150
- Unique visitors
- 780
Illustrative example.
Who it's for
The same metrics, read through the questions of your industry.
Retail & chains
Real footfall for every store in the network: the basis for conversion and value per visitor.
Counter-service shops
How many people really come in, to compare with the transactions at the counter.
Privacy
We measure flows, not people.
Only anonymous, aggregated data
Numbers leave the store, not images.
No identification
Demographic data only in aggregate, optional, and enabled only after an assessment with your DPO.
Staff are not counted
Employees are automatically excluded from every number.
In-store processing, EU hosting
Images stay on site; aggregated data is hosted in Europe.
Frequently asked questions
In most cases, yes: Kontrol Flow works with the IP cameras already installed. On the first call we check the models and the view of your entrances together and, if needed, suggest how to angle them.
The system tells customers and employees apart automatically and removes staff from every customer-facing figure: entries, unique visitors, peak hours. You don't have to tag anything by hand.
Entries are the passes detected at the doors. Unique visitors are the different people who came in: every entrance marked as a main entrance counts visitors, and the same customer, tracked anonymously across the cameras, is counted only once within a 30-minute window. Anyone who leaves and comes back within half an hour doesn't count twice.
Images are processed in the store and never leave the premises: only anonymous, aggregated data reaches the dashboard, hosted in Europe. We don't identify people; the details are on the Kontrol Flow privacy page.
Related solutions
Real-time occupancy
Live counters, average and peak occupancy per area, and alerts when you exceed capacity.
AI-powered retail analytics that respects privacy. Transform your store's video feeds into actionable insights.
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