How do you count visitors?

Start with the question, not the technology

Counting sounds simple until you ask what the number is for. How many people came in is one question. How long they stayed, which zones pulled them, how many walked past without entering, and how full the building is right now are different questions, and different methods answer them. Write down what you need to know first. The technology choice follows.

Wi-Fi: counting with the network you already run

Wi-Fi-based people counting turns enterprise access points (Cisco, Ruckus, Aruba and more) into a counting network. Phones with Wi-Fi on emit signals as people move through a space. Those signals are anonymised and aggregated into visitor counts, dwell time, paths between zones, passers-by and capture rate, while AI filtering strips out noise such as stationary devices and staff. Manual control measurements calibrate every installation against reality.

The strength is whole-space coverage with no new hardware for most venues. The honest limit is the single doorway: Wi-Fi is not the tool for exact line-crossing at one entrance, and live occupancy is served better by sensors.

Cameras and 3D sensors: exact counts at a point

Camera and sensor-based counting uses overhead optical 3D sensors, such as Xovis and Flir/Brickstream, with AI analytics. It is built for the places where a number has to be exact: directional in/out at an entrance, real-time occupancy against a safe limit, queues and dwell at a bottleneck. Video is processed for analytics only, and no personal images are stored.

The trade-off is reach. A sensor is precise at its point and quiet everywhere else, and this is the one method here that means installing new hardware.

Cellular: counting at district scale

Cellular (4G/5G) network analytics measures movement across whole districts, streets and open outdoor areas using anonymised, aggregated mobile-network data. It answers the wide questions, total flows along a high street, where visitors travel from, movement between areas, at a scale Wi-Fi and sensors are not built for. What it cannot give you is indoor detail or an exact count at a door.

Hybrid: cover the blind spots

Each method’s weakness is another method’s strength. Many venues therefore run a hybrid setup: Wi-Fi for behaviour across the space, sensors at the doors that need exact counts, cellular for the wide outdoors. The streams cross-validate, sensor ground truth calibrates the Wi-Fi model, and the result is higher confidence in every number.

Which method fits which venue

• A single entrance where the count must be exact: a 3D sensor. If you are weighing this against a basic door counter, read people counter vs people counting analytics.
• Stores, showrooms and pop-ups: Wi-Fi for dwell, zones and capture rate, with a sensor at the door where precise in/out matters.
• Shopping centres, transport hubs and large venues: Wi-Fi across the whole space, sensors at key entrances.
• Airports: a hybrid, from kerb to gate.
• City centres, districts and outdoor areas: cellular for the wide view, Wi-Fi where the detail matters.

How a count becomes statistics

Whichever mix you choose, the data lands in one place: an analytics platform with dashboards for each stakeholder and an open, documented API into the BI tools you already run. Standard metrics are ready the day after the visit, recurring visits can be tracked within the same day, and near-real-time crowd alerts are available where occupancy matters.

Privacy holds throughout. However you count, the foundation is the same: the only footfall method in Europe approved by a data protection authority, producing anonymous, aggregated statistics and nothing else. The compliance detail lives on GDPR-compliant footfall analytics.

For the full metric catalogue, and which method delivers which metric, see data deliverables.