Anonymous foot traffic, measured at the machine
A vending machine’s sales report tells you what sold. It does not tell you how many people walked past and didn’t buy.
That missing number is the difference between two very different problems:
- Low traffic. Few people pass the machine. Moving it will help more than changing the products.
- Low conversion. Plenty of people pass the machine, but few buy. Fix the price, the product mix, the screen, or the payment options.
KioskForce has been testing millimeter wave (mmWave) radar as the sensor that measures this number. It counts people without a camera.
What the demo shows
The demo in the video above is our own engineering prototype:
- The radar is mounted at 1.9 m. That is about the height of a KioskForce beverage vending machine, so the sensor sees the area in front of the machine from the same position it would have on the cabinet.
- It connects over USB. For the demo, the radar plugs into a laptop running the Millimeter Wave Radar Traffic Monitoring System. The operator presses Refresh, selects the radar’s port, presses Connect, then Start Monitoring.
- The software reports four numbers:
- Entries: people who walked into the detection zone
- Exits: people who walked out of it
- Current: people standing in the zone right now
- Duration: how long monitoring has run
- The counts update in real time. When our engineer walks into the zone, the entry count goes up and Current shows one person. When the engineer walks out, Current returns to zero.
The screen also lists the targets currently detected and keeps a system log of connection and monitoring events.
Why radar instead of a camera
A camera captures images of people. Even with anonymised analytics running on the device, there is a picture to secure and a privacy notice to justify, and in some places you cannot install a camera at all. We covered where that line sits in Australia’s facial recognition guidance for vending cameras.
A radar never captures an image. It measures reflected radio energy and turns it into positions and movement.
| mmWave radar | Camera with analytics | |
|---|---|---|
| What it captures | Distance, direction and speed of moving targets | Images of people |
| Can it identify a person? | No: there is no image of a face | Yes, if the software or footage allows it |
| Restrooms, change rooms, clinics | Usable | Generally not acceptable |
| Darkness and changing light | Unaffected | Degrades without lighting |
| Behind the machine’s panel | Can sit behind a plastic cover | Needs a clear line of sight through a lens opening |
| Attention metrics (did they look at the screen?) | No | Yes |
| Traffic count | Yes | Yes |
If all you need is a traffic count, radar is the lower-risk sensor. Choose a camera only if you also need attention or audience analytics, and only in places where a camera is appropriate.
Where radar counting fits
The use case that started this work was restrooms: anonymous traffic tracking where a camera-based system cannot be used. The same logic applies wherever a machine sits in a private or sensitive space:
- Washrooms and restrooms. Wall-mount vending machines for sanitary products, sexual health and hygiene items.
- Change rooms and locker rooms. Gyms, pools, sports clubs and staff amenities.
- Healthcare and clinics. Waiting areas and corridors where patient privacy rules out cameras.
- Schools and campuses. Machines placed near students.
- Site selection before a machine goes in. Mount a radar at a candidate location, measure traffic for a few weeks, and compare sites before committing a machine.
- Screen advertising. The number of people in front of a machine is the audience for its advertising screen. A radar count can back an impression report without a camera.
What to plan for
Radar is a precise sensor, but it is not a drop-in one. These are the decisions we make with you for each project:
- Mounting height and angle. The demo used 1.9 m. The right position depends on the cabinet and on the corridor or room in front of it.
- Detection zone. Draw the zone around the area you want to count, for example the area in front of the machine and not the whole corridor. A tighter zone gives a more meaningful count.
- Surroundings. Metal surfaces and crowded spaces affect radar reflections. Every site needs testing on the day of installation.
- Local radio rules. mmWave modules operate in licence-exempt radio bands, but the permitted band varies by country. The module has to suit the market the machine ships to.
- Reporting. In the demo, the radar connects to a laptop over USB. In a custom build, it connects to the machine’s own controller, so traffic can be reported next to sales from the same machine.
Status: technical preview
Radar traffic counting is a technical preview. We have built and demonstrated it, and we can build it into a custom vending machine, kiosk or smart locker project. It is not a standard option on a catalogue machine, because KioskForce does not sell catalogue machines. Each system is designed to the customer’s specification.
If you run machines in places where a camera is not an option and you want to know how many people pass them, tell us about the site.
Related: smart vending machines and telemetry · per-cell weight sensor tracking · why anonymous radar beats cameras for counting vending traffic