| I scoured their website to look for any clues about how it might (allegedly) work and got a fat lot of nothing. > Rest constantly monitors room air quality, using a proprietary algorithm to pinpoint any tobacco, marijuana, or nicotine presence. So a smoke detector with an "algorithm" attached. Uh huh. How does that algorithm work? > By analyzing various factors and patterns[...] Some cutting edge shit here! And as for accuracy, they don't even pretend to make promises about "99.99% success rates" or anything. This is the most detailed they get: > Q: Is it accurate? > A: Our sophisticated smoking detection algorithm has been tested for accuracy in real-world scenarios, backed by years of development, and tens of thousands of hours of rigorous testing and validation. |
CO2 sensors are generally pretty accurate, but PM2.5 sensors are notoriously prone to false spikes usually caused by dust in or around the sensor: https://www.reddit.com/r/Awair/comments/10r1uyo/inaccurate_p... or https://forum.airgradient.com/t/unusual-pm2-5-readings-on-ne... or https://community.purpleair.com/t/what-to-do-about-incorrect...
My guess is it's likely a sensor in a hotel room accumulates dust over time, leading to high PM2.5 measurements maybe when something (eg. suitcase) bumps against the case, shaking the accumulated dust and releasing it around the sensor.