Street Sensing uses an Arduino AirCasting sensing platform to tranform common light poles into pollution measuring units that give real-time insights into their local air quality.

Street Sensing builds on an existing open source Arduino AirCasting platform to turn a common light pole into units for measuring and displaying pollution in visual and auditory real-time data. AirCasting contains a pod for measuring data, an Android app for collecting and transmitting data, and a website for sharing and crowdsourcing measurements.

Four mobile AirCasting pods are available for personal particle pollution measurements. Each pod includes LED-illuminated clothing (vest, belt, or hat) to broadcast awareness. Changing colors, in either a beacon or in a strip of 160 LEDs affixed to a light poll, will show particle levels. What do 100,000 small particles look like?

Android phone owners can borrow a pod and collect data. Then data are shared on AirCasting.org via a Crowdmap. This sensory experience will inspire people to join the conversation and further contribute by making mobile measurements.

Project by Jeff Blair, Michael Heimbinder and Tim Dye