People counting is the analytic that tallies how many people enter, leave, or occupy a space — the foundation of retail and facility analytics. A camera over an entrance counts footfall; cameras over a zone estimate occupancy. The output feeds conversion metrics (visitors versus sales), staffing decisions, queue management, and occupancy-limit compliance, turning a camera into a sensor that measures demand rather than just records it.
Its accuracy should be stated as a range, not a single figure: well-placed people-counting commonly runs in the 90–98% range, and reputable vendors decline to promise a single number because it depends on camera angle, height, lighting, and crowd density. An overhead view counts far better than a shallow one, and the IEC 62676-4 DORI framework is a reminder that the counting camera (which needs only to detect a body, roughly 25 px/m) is not the identifying camera (roughly 250 px/m) — different jobs, different placement. Counting can run at the edge, sending only the tallies as metadata over ONVIF Profile M and cutting bandwidth dramatically.
The privacy point is a genuine advantage here and a pitfall if crossed. Plain people counting is anonymous — it counts bodies, not identities — so it generally sits outside GDPR Article 9, and the EDPB Guidelines 3/2019 treat simple counting as less intrusive. But bolt on face matching or a watch-list and it becomes biometric processing under Article 9 and Illinois BIPA, a completely different legal tier (the ICO actions against Serco and around Facewatch illustrate the line). Keep counting anonymous unless there is a justified, lawful basis to identify, and never quote the count as 100% accurate. This is engineering guidance, not legal advice.
The handbook · 7 volumes
Fora Soft Video Engineering Handbook
People counting turns an entrance camera into a demand sensor, and its accuracy depends on mounting height, angle, and crowd density. We wrote seven volumes covering the video stack; for people counting start with Volume 6 on detection, tracking, and computer vision, then Volume 7 on real-time pipelines and biometric compliance, with encoding in Volume 1. Written by Nikolay Sapunov, CEO at Fora Soft.
Adding people counting to stores or venues and need accuracy you can defend?
We will review your camera placement and analytics stack and send a counting plan with an accuracy target per entrance. 250+ video products shipped since 2005.
