Home · Strong theory
Smoke-Blind Rescue Mode
In a fire, it shows firefighters where people are — right through the smoke.
The physics is solid; our own validation is scheduled.
How it works
Smoke particles are thousands of times smaller than WiFi waves, so the signal passes through smoke as if it were not there. That means the sensing keeps working exactly when cameras and eyes fail. Firefighters get a live room-by-room map of where people are and whether they are moving or breathing.
In the physics: Smoke particles are orders of magnitude smaller than 6-12 cm WiFi wavelengths and cause negligible attenuation, so CSI sensing is physically unimpaired exactly when optical sensing fails; occupant localization (RTI), motion (Doppler), and respiration (0.1-0.5 Hz phase modulation) all remain observable through smoke-filled rooms and closed doors.
See it work
This is real pipeline output for Home, replayed. The exact reading depends on your room.
Go deeper
How the field becomes an answer
How we prove it
Presence, localization, and breathing layers individually proven or near-proven (OPERAnet breathing, RTI literature); integration test with theatrical smoke machine in an instrumented apartment: localization error and breathing detection rate at 3 smoke densities.
Who it is for
"The alarm that tells firefighters 'two people, back bedroom, one still breathing' — through the smoke." For alarm monitoring centrals and fire-department integration partners.
runtime Runs today in LatentField 2.0 as breathing_rate
The matching solution
Complete first-room estimateHome Presence & Intrusion2 nodes · ~$90 parts · 45 min Request kit, subscribe, or set up →Compatible DIY hardware options
45 min · intermediate
60 min · intermediate