All capabilities
Industrial & Energy Research concept

RackTrue

Warehouse Rack & Structural Geometry Drift Watch

Notices a pallet rack slowly leaning — or bent by a forklift — before it collapses.

Readiness Research concept

A frontier proposal with a validation plan, not an implemented detector.

Evidence Frontier Unvalidated concept

An early research proposal with no capability-specific product validation yet.

Runtime family Not mapped

No browser runtime is assigned to this capability yet.

Why live sensing is unavailable

This is a research concept, not an implemented detector. Show its physics and validation plan without generating synthetic claims.

Intended capability

Research whether the field could support this proposed outcome: Detection of slow lean, settlement, or impact-induced deformation of pallet racking, mezzanines, and structural steel — the failures that today are only caught by annual rack inspections or by collapse.

This describes the intended outcome. Readiness is research concept, evidence is class C, 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.

Research concept

No rendered revision is available yet.

Bundled recording

A related Industrial scene

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

01 The physics

Racking and structural steel are the dominant scatterers in a warehouse RF field. A few cm of upright displacement or beam deflection moves specular reflection points, changing super-resolved multipath delays (cm-scale = sub-ns delay shifts, resolvable via sparse recovery) and the static CIR fingerprint — a pure geometry observable with zero Doppler content. Forklift impact events additionally show as a step change rather than drift.

02 Shared processing path

CIR sparse recovery of static multipath constellation (stage 1) -> NeRF geometry map isolating which scatterer moved (stage 5) -> compartment Kalman per rack aisle + CUSUM separating slow lean (weeks) from impact steps (instant), leveraging the proven 119-day drift-control machinery (stage 6).

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

Own-hardware: instrumented rack bay, jack one upright through 5/10/20mm controlled displacements and simulated forklift strike; blind detection + localization to the correct bay. ESP32-wall confirms static-geometry sensitivity of the CIR chain.

04 Commercial hypothesis

Continuous rack integrity monitoring that emails the warehouse manager the aisle number after every unreported forklift strike.