Count the room.
Read the flow.
Crowd intelligence is the in-the-pipeline signal that turns lobbies, parking decks, and festival gates into live occupancy readouts. Flow direction, dwell-time anomalies, and density thresholds, designed to be computed on-device, aggregate-only, with no individual ever identified.
- in the pipeline
- in the pipeline
- in the pipeline
- in the pipeline
- in the pipeline
- in the pipeline
Crowds are not faces. They are counts, directions, and dwell-time signals.
Atlas is designed to aggregate these on-device, expose them through a simple webhook, and never identify the individuals being counted.
Drag the crowd. Watch the threshold.
For illustrative purposes only.
What Atlas does
for crowds.
Per-zone headcount with smoothing, for lobbies, gyms, clubhouse capacity, and parking decks.
Net inbound vs outbound across any boundary. Catches reverse-flow at one-way ramps and after-hours exits.
Surfaces a group that has been stationary in the wrong place for too long, without naming anybody.
Fire-safety occupancy ceilings raised as alerts to the duty desk before a crowd becomes a violation.
Per-event profiles for Diwali, Ganpati, and New Year, suppressing normal-traffic alerts and sharpening density thresholds.
Designed to plug occupancy and density events into the building-management system, fire panel, or duty-app stack.
Built for the conditions, measured in the pilot.
The crowd signal is designed to emit counts and flow vectors, never a track tied to a person. That keeps occupancy intelligence on the right side of the DPDP Act while still answering 'how full is the atrium right now?'.
Crowd accuracy turns on sightlines, mounting height, and density. Rather than fake a generic web demo, Atlas will tune this signal on each site when crowds ships, which is why this is an in-the-pipeline conversation, not a canned number.
In the pipeline,
tuned per site.
Crowd analytics is in the pipeline: accuracy will depend on each room's geometry, so it's tuned per site when it ships.