Age & Gender Estimation
Estimates age band and gender of detected people for anonymised footfall and demographic analytics. Retail and transport planning need to know who a place serves; this answers that at the level of a crowd.
What triggers it
Estimation across a group, not identification of a person. It produces an aggregate profile of who passed through a zone over a period, and it is deliberately not tied to identity.
What you set up
- the zone
- the reporting period
What the operator gets
An aggregate breakdown for the period, as a report rather than an alert.
Face capabilities run only against your own opt-in, per-site watch-list — face detection, face enrolment, and unauthorised-person alerting. Vigil-X.AI does not perform 1:N forensic face recognition against external or government identity databases, and does not perform cross-camera tracking.
Where it’s used
Every site defines this differently.
What counts as an event in a hospital lobby isn't what counts on a station platform or a factory floor. Describe your scene and we'll tune the detection to it.