Datacenter · Proven
Tailgate Auditor: Badge-vs-Bodies Reconciliation
Counts real bodies in each room and alarms when there are more people than badges.
Demonstrated on real public research data.
How it works
Every person in a room disturbs the WiFi field — moving, and even just breathing. The system counts those disturbances and compares the count with the badge system. Two people through one badged door, or someone still inside after everyone badged out, sets off the alarm.
In the physics: Each additional human body adds distinct Doppler energy and independent breathing components (0.1-0.5Hz) to the CSI stream; occupancy count correlates with aggregate motion-band energy and the rank of the dynamic CSI subspace (already r=0.9).
See it work
This is real pipeline output for Datacenter, replayed. The exact reading depends on your room.
Go deeper
How the field becomes an answer
How we prove it
WiMANS (multi-person activity/count labels) and OPERAnet for count regression; own-hardware: instrumented mantrap + server room with badge log ground truth over 2 weeks, measure tailgate detection precision/recall.
Who it is for
Automated anti-tailgating audit for SOC2/PCI datacenter compliance — 'every body in the room is reconciled to a badge, 24/7, no cameras' — sold to the compliance/physical-security officer.
runtime Runs today in LatentField 2.0 as occupancy_estimate
The matching solution
Complete first-room estimateCage & Plenum Sentinel6 nodes · ~$320 parts · 120 min Request kit, subscribe, or set up →Compatible DIY hardware options
120 min · advanced
240 min · installer