Industrial · Strong theory
Tank & Silo Fill-Level Field Imaging
Reads how full a tank or silo is — no probes, no holes drilled.
The physics is solid; our own validation is scheduled.
How it works
WiFi waves travel differently through liquid or powder than through air, so the surface of the contents acts like an invisible line the signals can find. As the level rises or falls, that line moves and the signals crossing the vessel change with it.
In the physics: Liquid (water eps_r~80, hydrocarbons ~2-4) vs air creates a strong dielectric discontinuity at the fill surface. As level changes, multipath rays that graze or transit the vessel shift in delay (slower propagation through high-eps_r media) and amplitude (reflection coefficient at the air/liquid interface moves spatially). This is a geometry observable, not a motion observable.
See it work
This is real pipeline output for Industrial, replayed. The exact reading depends on your room.
Go deeper
How the field becomes an answer
How we prove it
Own-hardware: 6-node ESP32 mesh around a 200L plastic drum, stepped water fill in 10% increments, blind level regression; repeat with diesel to test low-eps_r contrast. ESP32-wall dataset validates the through-obstruction CIR pipeline.
Who it is for
Inventory-grade tank telemetry from $100 of hardware and zero tank penetrations — for the terminal operations manager who can't shut down to install radar gauges.
runtime Runs today in LatentField 2.0 as intrusion
The matching solution
Complete first-room estimateMachine Bay Watch6 nodes · ~$320 parts · 120 min Request kit, subscribe, or set up →Compatible DIY hardware options
120 min · advanced
240 min · installer