All capabilities
Automotive & Transport Physics limit

MetalMap

Contraband Shadow — Concealed Metal Anomaly Imaging

Inside a metal vehicle, a small hidden metal object vanishes into the glare — physics says no.

Readiness Physics limit

Retained for transparency, but blocked from execution because the catalog physics review rejected it.

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

The vehicle is itself a large metal enclosure dominating scattering; a small added metal object's contribution against that metal-cabin background, amid seat/occupant reconfiguration, is below practical detectability. Differencing is valid in principle but defeated by the background.

Intended capability

Evaluate the sensing evidence for “Contraband Shadow — Concealed Metal Anomaly Imaging” 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 physics limit, 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.

Physics limit

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

Metal is a near-perfect scatterer: a new metallic object creates strong specular paths (new CIR taps) and a high-sigma region in the reconstructed conductivity field. A vehicle's own metal structure is static, so any new persistent high-sigma voxel that isn't in the baseline map is anomalous by construction.

02 Shared processing path

CIR sparse recovery for new specular taps -> RFF/NeRF sigma-field reconstruction -> voxel differencing vs vehicle's own baseline sigma map -> MVE anomaly scoring with location output.

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: van cabin and luggage rack, insert metal plates/toolboxes 0.5-5kg at varied positions and concealments, ROC of sigma-anomaly score vs mass and depth; ESP32-wall dataset for through-panel propagation priors.

04 Commercial hypothesis

Passive metallic-anomaly screening for fleet vehicles and transit cars — no millimeter-wave portal, no imaging of people — sold to transit police tech units and armored/high-value logistics security chiefs.