Agriculture · Strong theory

Automated Headcount + Cast/Down-Animal Detection

Counts every animal, and shouts if one is down and cannot get up.

Strong theory Strong theory live in runtime

The physics is solid; our own validation is scheduled.

Each animal stirs the signal, so the pen count comes straight from how much the space ripples. An animal stuck on its back or collapsed goes almost completely still — the same signature as a human fall, which is already proven. Overnight, stillness in the wrong place raises the alarm within hours, not at morning rounds.

In the physics: Each animal is a moving scatterer occupying volume; occupancy count from CSI is already proven to r=0.9, and a down/motionless animal collapses its micro-Doppler to near-zero while flattening its RTI silhouette — the same physical signature as the proven human fall detector (AUC 0.8).
Preparing the recorded fieldLoading real LatentField pipeline output…

This is real pipeline output for Agriculture, replayed. The exact reading depends on your room.

Bring this into the real roomBarn Activity Node3 sensing nodes · ~$130 parts · about 90 min
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How the field becomes an answer

RTI differential imaging for per-zone occupancy & localization occupancy-count regressor per-track Doppler energy monitor; sustained zero-motion + flattened silhouette in an occupied zone fall/cast classifier anomaly manifold cross-check

How we prove it

Directly transfer occupancy-count (r=0.9) and fall (AUC 0.8) results from OPERAnet/SenseFi; own-hardware pen trial to retune scatterer size and count ceiling for livestock body mass.

Who it is for

'PenGuard' — overnight cast-animal and rustling/escape alarm plus free automated headcount; sells on one prevented death per season.

runtime Runs today in LatentField 2.0 as occupancy_estimate

Complete first-room estimateBarn Activity Node3 nodes · ~$130 parts · 90 min Request kit, subscribe, or set up →
Compatible DIY hardware options
Prosumer Pro (paired node)$110–150

60 min · intermediate

Operator Single-Venue$280–380

120 min · advanced

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