Hospitality · Strong theory
GhostRoom — hotel occupancy truth engine
Knows which hotel rooms are truly empty — from the corridor, through the wall.
The physics is solid; our own validation is scheduled.
How it works
A person in a room leaves two traces in the signal: the gentle rhythm of breathing and the ripple of movement. Both pass through a single wall. So housekeeping learns the truth — stayover, vacant, or someone lingering after checkout — with nothing visible installed in the room.
In the physics: Presence produces breathing-band CSI modulation (0.1-0.5Hz) and motion Doppler that penetrates a single drywall partition; occupant count changes aggregate multipath variance. Through-wall LOS/NLOS discrimination is already demonstrated (AUC 0.69) and improves with mesh diversity.
See it work
This is real pipeline output for Hospitality, replayed. The exact reading depends on your room.
Go deeper
How the field becomes an answer
How we prove it
ESP32-wall dataset for through-wall presence; own pilot on one hotel floor comparing against PMS checkout records and housekeeping logs.
Who it is for
Housekeeping router + revenue-leak detector (unregistered guests, smoking-room parties) for the hotel operations director — pays for itself in cleaned-in-sequence labor savings.
runtime Runs today in LatentField 2.0 as occupancy_estimate
The matching solution
Complete first-room estimateFloor & Bar Pulse3 nodes · ~$130 parts · 90 min Request kit, subscribe, or set up →Compatible DIY hardware options
120 min · advanced