Flame Analytics

Hypersensor is the piece that does the actual seeing. It takes standard IP camera streams and runs deep learning models that output people counts, flows, dwell times and zone activity. Flame claims over 99 percent accuracy for people counting and says field audits run quarterly at client sites. Because one camera produces several metrics at once, you don't need a different sensor for counting, another for dwell time and another for heatmaps.

Most venues have overlapping fields of view, and single camera counts double up when someone walks between frames. Flame joins detections across cameras into a single anonymous track, so a visitor crossing three cameras is one person rather than three. It does this without biometrics or stored images, which is the part privacy teams tend to ask about first.

Employees walk around all day and inflate every count if you let them. Flame handles this two ways: an exclusion module that learns typical staff movement patterns by zone, and manual exclusion zones for back rooms, warehouses and staff corridors. The learning is behavioral, not facial, so it stays inside the no biometrics rule.

The reporting side is built for people who aren't analysts. Drag and drop widgets, prebuilt templates and scheduled reports cover more than 200 KPIs, with heatmaps and trend charts rendered in real time. Multi site accounts get store to store comparison views, which is where most of the value sits for a chain.

Connecting a point of sale or ERP system lets Flame divide visitors by transactions. That gives a real conversion rate per store and per hour, the metric that separates a marketing problem from an in store one. It's the feature that turns a footfall counter into something a commercial director will actually open.

Flame also counts through WiFi access points and uses login data for loyalty. Visitors who join the network can be segmented by profile with consent and tied to a CRM, so a mall or hotel can reach people after they leave. WiFi counts are estimates rather than camera grade figures, so the pairing is best treated as a second signal.

An open API and connectors push metrics into CRMs, CMS platforms and data lakes. Real time triggers can fire automations, such as changing signage or alerting staff when a zone fills up. Device management tools monitor camera health and flag offline streams so gaps don't quietly ruin a month of data.