Seeing Like A Bike Week 2

This week we have been hard at work getting our new air quality sensor up and running. We are using a PurpleAir sensor, which provides real-time particulate readings. The PurpleAir sensor uploads its data through wifi so we have it connected to a raspberry pi by an ad-hoc network so we can get mobile readings.

We ran into a few obstacles in getting the network up and running, but now that everything is connected our goal is to get the pi reading and recording the data supplied by the sensor as soon as possible. Once the sensor is up and running we will compare it’s readings to our other sensors to confirm it’s accuracy and then start running tests. Our goal is to be able to start testing as soon as possible to maximize our data set.

While the sensor has been our primary focus, we have also worked to get caught up with past research on air pollution measurement and eye tracking. We were lucky enough find several useful research papers covering topics including mobile air pollution measurement using bikes and stress measurement using eye tracking.