Industrial & Energy Needs edge adapter

SlowZone

Forklift Speed-Zone Compliance Field

Continuous forklift speed measurement in pedestrian zones — a compliance ledger of speed-limit violations per zone/shift, complementing the near-miss detector with the leading indicator (speed) instead of the lagging one (proximity).

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Readiness Needs edge adapter

The evidence is proven or strong, but this capability still needs a capability-specific ESP32 or Rust runtime adapter.

Evidence Supported hypothesis

Published physics or adjacent results support the hypothesis; capability-specific product and site validation are still required.

Runtime family Not mapped

No browser runtime is assigned to this capability yet.

Why live sensing is unavailable

No capability-specific offline runtime is mapped yet. Keep the feature visible, explain the required edge adapter, and never fabricate a live result.

Intended capability

Validate this target only after a capability-specific adapter and ground-truth study exist: Continuous forklift speed measurement in pedestrian zones — a compliance ledger of speed-limit violations per zone/shift, complementing the near-miss detector with the leading indicator (speed) instead of the lagging one (proximity).

This describes the intended outcome. Readiness is needs edge adapter, evidence is class B, 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.

Needs edge adapter

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

A forklift is a rigid body with monotone narrowband Doppler directly proportional to radial speed (v = f_d x lambda/2) plus mast-vibration lines that fingerprint vehicle class vs pedestrians (limb-comb).

02 Shared processing path

Aisle-aimed radar FMCW distance readout differentiated to radial range-rate — the primary per-cone speed measurement -> CSI micro-Doppler separates machine from pedestrian (narrowband line vs limb-comb) and covers the stretches between cones -> track segmentation with link-geometry correction -> per-zone violation ledger with class confidence.

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 in one aisle network: cone-aimed radar range-rate vs forklift telematics speed logs, then radar speed as the in-cone reference for the CSI between-cone estimate; report speed MAE by approach angle and the lag bias of differentiated distance at worst-case geometry.

04 Commercial hypothesis

For the safety manager: 'Every speeding event in every pedestrian zone, without retrofitting a single truck.'