Buildings · Proven

TrueCount HVAC Demand Ventilation

Heats and ventilates for the people actually in the room, not the schedule.

Proven Proven live in runtime

Demonstrated on real public research data.

Every person in a zone stirs the WiFi field a little — even someone sitting still is breathing. More people means more stirring, so the system counts heads instantly and feeds the number to the building's climate controls. CO2 sensors notice a crowd twenty minutes late; the field notices at once.

In the physics: Each moving/breathing body is a time-varying scatterer; aggregate Doppler energy 0.1-40Hz and multipath perturbation scale near-monotonically with person count (proven r=0.9). Breathing band 0.1-0.5Hz catches sedentary occupants that PIR misses.
Preparing the recorded fieldLoading real LatentField pipeline output…

This is real pipeline output for Buildings, replayed. The exact reading depends on your room.

Bring this into the real roomFloor Utilization Node3 sensing nodes · ~$130 parts · about 90 min
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How the field becomes an answer

Doppler/micro-Doppler features (0.1-40Hz + breathing band) adaptive PCA occupancy manifold with cross-room z-score transfer per-zone count stream BACnet/Modbus into VAV control loop.

How we prove it

WiMANS (multi-person counting) and OPERAnet for count accuracy; own-hardware: 6x ESP32 in one office zone vs ground-truth camera count for 2 weeks, then closed-loop trial measuring kWh vs CO2-based DCV baseline.

Who it is for

For the energy manager: 'Cut ventilation energy 20-30% by conditioning for the people actually in the room — $100/zone, no CO2 sensor calibration ever again.'

runtime Runs today in LatentField 2.0 as occupancy_estimate

Complete first-room estimateFloor Utilization Node3 nodes · ~$130 parts · 90 min Request kit, subscribe, or set up →
Compatible DIY hardware options
Operator Single-Venue$280–380

120 min · advanced

Operator Multi-Node$700–950

240 min · installer

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