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Modular Environmental Sensing and Context Extraction

We are prototyping a mobile sensor platform that detects temperature, relative humidity, barometric pressure, and air pollution indicators such as nitrogen dioxide, ozone and carbon monoxide levels. The gas sensors produce electric currents in response to detected pollutant molecules. Sensor readings and recalibration are sensitive to both internal and external contextual elements, such as the power circuitry, ambient temperature, humidity, and cross dependencies between gases. We are addressing these issues in both software and electronic design for a stable model.

A combination of mobile and stationary platforms paired with user smartphones will enable users to individually detect or crowd source air quality information in their neighborhood. At a swarm level, they can help map an area in terms of health-related data.


Air quality sensing platform prototype