A frontier proposal with a validation plan, not an implemented detector.
Intended capability
Evaluate the sensing evidence for “Wet Freight Early Warning — Moisture Ingress in Trailers & Reefers” 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 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.
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
Water's eps_r ~80 versus dry cargo/insulation ~2-4 means even small moisture accumulation dramatically changes local permittivity, shifting path delays through affected regions and re-weighting reflection amplitudes. The change is spatially localized and monotonic over days — invisible to any instantaneous sensor but ideal for drift statistics.
02 Shared processing path
RFF/NeRF eps_r map re-solved nightly at depot -> voxel-level compartment Kalman -> CUSUM on per-voxel eps_r drift over days/weeks -> RTI localization of the wet region.
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: reefer trailer mock-up with controlled water injection into wall insulation (100ml/day), 30-day ESP32 capture, verify CUSUM detection latency and voxel localization vs moisture-meter ground truth.
04 Commercial hypothesis
Cargo-damage and reefer-insulation failure insurance-grade early warning — sold to cold-chain fleet owners and marine cargo insurers who eat wet-freight claims.