Healthcare & Hospitals Shared-family mapped

Privacy-safe crowd meter

Waiting-room and ED occupancy / crowd-density for infection control and flow

Pilot target for coarse waiting-area occupancy; accuracy and count limits must be measured at each site.

Open demo room Design this solution See how it works

Readiness Shared-family mapped

Mapped to a shared offline runtime family and usable with a recording or compatible ESP32 CSI stream.

Evidence Research data

A comparable sensing task was demonstrated on public research data; this product, site, and safety workflow remain unvalidated.

Runtime family Occupancy estimate

Coarse occupancy estimate from calibrated multi-link field activity.

When no ESP32 is connected

No compatible ESP32 stream is connected. Use the bundled Healthcare recording; it demonstrates the shared Occupancy estimate runtime, not independent proof of this capability.

Intended capability

Evaluate the sensing evidence for “Waiting-room and ED occupancy / crowd-density for infection control and flow” in a consented, ground-truthed study. This is not a medical device, clinical monitor, diagnosis, or emergency alert.

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.

Shared-family mapped

No rendered revision is available yet.

Bundled recording

A related Healthcare scene

This is one recorded vertical scenario. It is not separate validation of every capability in the catalog.

01 The physics

Each additional person adds independent reflectors and scattering paths that measurably raise multipath richness and RTI cell occupancy; the aggregate change scales monotonically with count, and dwell shows as persistent occupancy in specific zones.

02 Shared processing path

RTI differential imaging for spatial occupancy map -> occupancy-count regression -> compartment model tracks zone dwell/flow -> CUSUM flags crowding surge vs. baseline capacity

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

Occupancy count r=0.9 already proven; confirm on WiMANS multi-person scenes and own-hardware waiting-room deployment vs. manual/turnstile counts.

04 Commercial hypothesis

'Privacy-safe crowd meter' — real-time occupancy/flow for ED operations and infection-prevention capacity management.