Project YU: An Economic & Scalable approach for monitoring Air Pollution

Abstract: Air pollution is one of the biggest dangers to human health but even then the data related to it is usually limited and mostly not accurate or updated. Commonly, there are only 3-4 pollution monitoring stations in each city which means that the data that we get from these stations are accurate only to close proximity of the monitoring station and may vary considerably just a few kilometres away from the station. The purpose of the paper is to present the choice of architecture and the implementation of a mobile platform which by using connected sensors collects real-time air quality data. The data can then be provided to the general public where primarily people suffering from diseases related to respiration like asthma can benefit from real-time information about air quality.

Keywords: Air quality, Sensors, Location Based Services, Android application, Raspberry Pi, Arduino, Air Pollution.