Hospitality & Retail Shared-family mapped

LineTruth

QueueSense — live queue length and wait-time

It counts the line and tells you the wait — no cameras.

Open demo room Design this solution See how it works

Exact beta field-kit offer

Floor & Bar Pulse

This offer is scoped to this capability only. It does not promote sibling catalog entries or replace physical deployment validation.

~$130 parts · 3 Nodes · ~90 minReview beta field kit →No charge today · configuration and quote confirmed first

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 Hospitality recording; it demonstrates the shared Occupancy estimate runtime, not independent proof of this capability.

Intended capability

Pilot this intended outcome through the shared Occupancy estimate family, then validate it against site-specific ground truth: Real-time count and spatial distribution of people standing in checkout/bar/reception queues, converted to predicted wait time and staffing alerts.

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 Hospitality scene

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

01 The physics

Human bodies (~60% water, high eps_r) attenuate and scatter 2.4/5GHz links; each added body in a link's Fresnel zone shifts multipath amplitude variance and adds low-frequency Doppler from postural sway (0.1-2Hz). Spatial ordering along the queue corridor is recoverable because different link pairs cross different queue segments.

02 Shared processing path

Doppler/micro-Doppler sway features + occupancy-count regressor (proven r=0.9) per link -> RTI differential imaging over the queue corridor for spatial density -> adaptive PCA manifold to reject non-queue motion (staff behind counter).

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 for the count head; own ESP32 mesh strung along a real cafe queue with ground-truth video annotation for the spatial/wait-time layer.

04 Commercial hypothesis

Live wait-time and 'open a second till' alerts with zero cameras — for the retail store-ops manager measured on conversion and walkout rate.