Mapped to a shared offline runtime family and usable with a recording or compatible ESP32 CSI stream.
Intended capability
Pilot this intended outcome through the shared Occupancy estimate family, then validate it against site-specific ground truth: Real-time per-zone occupancy count feeding the BMS so ventilation and setpoints track actual people, not schedules or CO2 lag (CO2 sensors lag occupancy by 15-30 min; RF count is instant). Each zone's mmWave radar adds a stationary-occupancy floor: while its aimed cone still reads a motionless occupant, setback waits.
This describes the intended outcome. Readiness is shared-family mapped, evidence is class A, and a catalog mapping or recording is not proof of this outcome at a real site.
Solution blueprint
See the environment before installing it.
This exact kit is one of 191 first-class designs. It includes geometry, objects, nodes, wording, scenarios, installation, limitations, and catalog-bound readiness.
No rendered revision is available yet.
Bundled recording
A related Buildings scene
This is one recorded vertical scenario. It is not separate validation of every capability in the catalog.
01 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.
02 Shared processing path
Doppler/micro-Doppler features (0.1-40Hz + breathing band) -> adaptive PCA occupancy manifold with cross-room z-score transfer -> per-zone count stream (the count stays CSI) -> radar static-presence floor gates the zero: no cutback while the zone's aimed cone holds a still occupant -> BACnet/Modbus into VAV control loop.
This is a capability design path. Components may be shared with other catalog entries; it is not presented as a unique algorithm.
03 Validation plan
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.
04 Commercial hypothesis
For the energy manager: 'Cut ventilation energy 20-30% by conditioning for the people actually in the room — a WiFi node and a small mmWave radar per zone, no CO2 sensor calibration ever again.'