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About QZ Infomatics →Request a demoRetailers know their sales figure precisely and their visitor figure not at all.
Conversion rate needs both.
A visitor management system records who enters a building, when they arrived and left, and who they came to see. People counting adds the other half — how many came in total, when, and where they went. Together they turn an entrance into a source of data rather than a door.
Two halves
Self-service check-in, host notification, badge printing, visitor log, and a record that satisfies building security and safety obligations.
Camera-based counting of everyone entering and leaving, by direction, hour and zone.
Method
Vision software counts individuals crossing a line, distinguishing direction of travel and filtering out repeat passes and staff movement.
Zone counting extends it inside the space — which areas draw people, how long they stay, which displays get passed without a stop.
Well-implemented systems retain the count rather than identifiable footage, which places them in a different privacy category from face recognition.
Retail
Transactions divided by visitors. Without a visitor count, a fall in sales is indistinguishable from a fall in traffic — and the two need entirely different responses.
Footfall by hour against the staff rota. Most stores are overstaffed at open and understaffed at the peak, and nobody notices because the rota was set before anyone measured.
Whether a campaign brought people in, separately from whether they bought. Two different failures with two different fixes.
Passing traffic against entering traffic tells you whether the window works.
Beyond retail
For space planning, cleaning schedules, HVAC zoning and tenant reporting — all of which currently run on assumption.
Which is where this pairs with a queue management system. Knowing that Tuesday 11am brings forty visitors and an eighteen-minute wait is a staffing decision; knowing one half of that is not.
As a leasing metric, and increasingly need it by zone rather than only at the main entrances.
Accuracy
Accuracy drops at wide entrances where several people pass abreast, in heavy crowding, and where cameras are mounted at an angle rather than overhead. Groups walking closely together are the common failure mode.
In a branch with eight staff and two hundred daily visitors, employee movement in and out can distort the count by a material percentage and skew every conversion figure calculated from it.
Any vendor unwilling to verify against a manual count is telling you something. Deployment runs two to four weeks per site, and most of the effort is positioning and validation. Existing CCTV can sometimes be reused, though most is mounted at an oblique angle for identification rather than overhead for counting — a site survey settles which cameras qualify.
Privacy
Generally without retaining identifiable footage or matching individuals. That is a genuinely different privacy position from face recognition.
Rather than leaving visitors to assume the worst, which is what they will do in the absence of a stated position.
It collects identified personal data by design. Retention period, access control and purpose need documenting, and the visitor should be told at check-in.
People counting FAQs
A visitor management system records who enters a building, when they arrived and left, and who they came to see. Modern systems combine self-service check-in, host notification and badge printing with camera-based counting, so both individual visitor records and overall footfall are captured.
People counting uses overhead or entrance-mounted cameras with vision software to count individuals entering and leaving a space, distinguishing direction of travel and filtering out staff or repeat passes. The output is occupancy and footfall data broken down by hour, entrance and zone.
Retailers use it to measure conversion rate — visitors against transactions — and to plan staffing against actual traffic patterns. Branches and service centres use it to correlate footfall with waiting times. Malls and building operators use it for occupancy management and tenant reporting.
Well-installed overhead counting is typically accurate within a few percent, though accuracy drops at wide entrances, in heavy crowding, or where cameras are angled rather than overhead. Accuracy should be verified against a manual count during commissioning rather than assumed from the specification.
Yes, by several methods: staff carrying a recognised tag, counting only during defined periods, or excluding movements through staff-only entrances. Removing staff from counts matters, because in a small branch employee movement can distort the footfall figure substantially and skew conversion reporting.
Sometimes. Counting needs an overhead or near-overhead view at adequate resolution, and most CCTV is mounted at an oblique angle for identification instead. A site survey determines which existing cameras can be reused and where new ones need to be installed.
Counting systems generally process images to derive a count without retaining identifiable footage or matching individuals, which puts them in a different category from face recognition. Confirm what your deployment retains and for how long, then state it in your building privacy notice.
Cameras are positioned at each entrance and zone boundary, calibrated against a manual count, then connected to a dashboard reporting footfall by hour, day and location. Two to four weeks per site is typical, with most of the effort in positioning and validation.
Talk to a consultant
Book a free 30 minute call with QZ Infomatics in Dubai. You will leave it with a platform recommendation, the reasoning behind it, a realistic timeline and an indicative budget band — before you commit to anything.
