Datacenter Security Shared-family mapped

OnlyHuman

Lights-Out Sentinel: Human-vs-Robot Discrimination

In robot-patrolled halls, it alarms only when the moving thing is a person.

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Readiness Shared-family mapped

Mapped to a shared offline runtime family and usable with a recording or compatible ESP32 CSI stream.

Evidence Research data

A comparable sensing task was demonstrated on public research data; this product, site, and safety workflow remain unvalidated.

Runtime family Presence

Calibrated motion and presence score from CSI variance and change statistics.

When no ESP32 is connected

No compatible ESP32 stream is connected. Use the bundled Datacenter recording; it demonstrates the shared Presence runtime, not independent proof of this capability.

Intended capability

Pilot this intended outcome through the shared Presence family, then validate it against site-specific ground truth: In automated/lights-out halls patrolled by tape robots and inspection rovers, alerts only when the moving object is HUMAN — suppressing thousands of robot-motion false alarms that make conventional motion sensing useless there.

This describes the intended outcome. Readiness is shared-family mapped, evidence is class A, 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.

Shared-family mapped

No rendered revision is available yet.

Bundled recording

A related Datacenter scene

This is one recorded vertical scenario. It is not separate validation of every capability in the catalog.

01 The physics

Human micro-Doppler is broadband and quasi-periodic (limb swing 1-3Hz with harmonics, gait cadence) and always carries a 0.1-0.5Hz breathing component; wheeled robots produce narrowband, constant-velocity Doppler with motor-vibration lines and zero respiration — separable signatures in the 0.1-40Hz band.

02 Shared processing path

Micro-Doppler spectrogram features + breathing-band check -> machine-vs-human classifier (already proven) -> RTI trajectory tagging so each track is labeled human/robot -> anomaly manifold alarms on 'human track in lights-out zone'.

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

Machine-vs-human discrimination already class A on our data; validate trajectory tagging on OPERAnet + own-hardware with a roving vacuum robot and human confederate, measure per-track label accuracy.

04 Commercial hypothesis

The only motion alarm that ignores your robots — 'a human stepped into Hall C at 03:14, and we knew it wasn't the tape bot' — sold to hyperscaler physical security operations.