Minut technology

SmokeID

Purpose-built hardware and AI technology for smoke-free buildings

SmokeID is Minut’s laser particle-sensing and proprietary machine learning technology to accurately identify smoking in the air.

Living room · 125 Fell St

Cigarette smoke · recognized

Cooking · ignored

PM1 ≤1 µm

PM2.5 ≤2.5 µm

PM10 ≤10 µm

Advanced laser sensor

Laser air sensing, particle by particle

SmokeID uses a tri-axis laser to measure PM1, PM2.5 and PM10 particles simultaneously as air moves through the room, counting and sizing each particle to build the fingerprint that identifies smoke.

Solid-state design.

Built without internal fans or moving parts that clog, drift or degrade over time, for silent, long-term stability.

AI-powered technology

Trained on 14,000+ exposures

SmokeID’s model is trained on particle data from cigarette smoke, cooking and everyday household products in Minut’s dedicated smoke lab.

Using advanced machine learning techniques, it recognizes the distinct particle patterns that smoking produces, while ongoing lab testing and real-world feedback from sensors in the field continuously improve its accuracy.

Cigarette smoke

Dense ultrafine particles

Cooking

Mixed sizes, coarse-heavy

Steam

Sparse, large droplets

In the lab

Setting the benchmark for smoking detection

We tested SmokeID side by side with competitor smoking detectors under identical lab conditions, and every result below is published with its test conditions.

Real cigarette smoke events caught

Higher is better

Minut E1 (with SmokeID)84%

Alertify31%

Wynd Sentry0%

False alarms from cooking

Lower is better

Minut E1 (with SmokeID)12%

Alertify79%

Wynd Sentry10%

All vendors evaluated side-by-side under identical conditions. Minut E1 (n=1123), Alertify (n=127), Wynd Sentry (n=127). Based on lab test readings across controlled cigarette-smoke and cooking scenarios in a 25m² test space, Mar-Jul 2026. Results may vary by installation and environmental conditions.

Continuous R&D

Edge & Cloud

SmokeID pairs on-device intelligence with cloud-based machine learning to deliver a continuously advancing detection model.

Lab exposure to new contaminants, mapping increasingly complex particle signatures
Real-world field data, so models adapt to changing everyday environments
Over-the-air updates seamlessly deploy our latest lab breakthroughs directly to your sensors