AirBoxLab

AIRBOXLAB features a unique sensor array in an airflow designed cylinder. It is meant to be used inside living spaces forwarding data to the cloud and pushing back results and advice on any of your connected devices.
The prototype includes 6 embedded sensors:
- VOC: Formaldehydes, benzene, ethylene glycol, acetone
- CO2: Carbon dioxide
- CO: Carbon monoxide
- PM: Particulate Matter
- T: Temperature
- RH: Relative Humidity
These sensors constantly measure the various sources and levels of indoor pollution, results are safely stored in the cloud to be analyzed by pattern recognition and machine learning algorithms enabling push messages to be sent to improve indoor living spaces through :
- optimized air renewal in your distinctive rooms
- locating sources of pollution to eradicate them
- behaviour change to avoid repeating pollution patterns
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