Customer Story
June 7, 2023
Classifying unwanted substances.
Indoor air quality affects health more than most people realise, but consumer gas sensors today can only roughly identify what's in the air. Pushing past that limit required applying machine learning to raw sensor signals — not just thresholds, but pattern recognition.
Challenge
Smart home solutions for environmental monitoring have limitations with current technology, which only allows for limited classification of volatile organic compound (VOC) gases.
Solution
ML/DL models for pattern recognition from gas sensor responses for classification of VOC gases and other substances.
Outcome
- More accurate classification of different gases
- Improved health and safety through better environment monitoring and smart home integration
- Better actions against pollution in home environments
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