Mapped to a shared offline runtime family and usable with a recording or compatible ESP32 CSI stream.
Intended capability
Evaluate the sensing evidence for “Cabin Census — Per-Car Occupancy for Transit” in a stationary, controlled, ground-truthed vehicle study. This is not a vehicle, occupant, child, pet, or driver-safety system.
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 Automotive scene
This is one recorded vertical scenario. It is not separate validation of every capability in the catalog.
01 The physics
Each human body absorbs and scatters 2.4/5GHz energy; aggregate body count shifts mean CSI attenuation and motion richness, while spatial distribution shapes which RTI voxels attenuate. Count-to-CSI relationship is already demonstrated at r=0.9.
02 Shared processing path
Doppler activity statistics + attenuation features -> occupancy regression (class-A) -> RTI differential imaging for density heatmap -> cross-vehicle transfer via z-score normalization so one calibration fleet generalizes.
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 and OPERAnet occupancy tasks for the counting core; own pilot: one instrumented commuter car vs APC infrared gate counts over 2 weeks.
04 Commercial hypothesis
GDPR-clean crowding telemetry feeding real-time 'which car is empty' passenger apps — sold to transit authority operations and passenger-experience directors.