Abstract: Every major city in the world is currently facing a worsening situation in terms of public health and environmental disruption. More than 85% of people in urbanized regions are exposed to high quantities of particulate matter, making poor air quality a big concern. Recent estimates show that the burden of disease brought on by air pollution is now on pace with other major global health issues, such as poor food and cigarette use. The global nature of the challenge necessitates a more comprehensive global response. Despite some noticeable air quality improvements, since the 1990s, the number of fatalities and years of healthy life lost around the world has not changed. Accordingly, we have suggested a compact, low-cost system to monitor and visualize air quality. This system is implemented using a Raspberry Pi and a SDS011 sensor module to calculate the amount of Particulate Matter which is majorly responsible for degrading the quality of air. This problem is solved using a simple Air filter used in vehicles which drastically reduces the PM levels thereby providing a low-cost way of measuring and improving the overall quality of Air.
Keywords: Air-Quality, air-quality analysis, particulate matter, green computing, IOT, raspberry pi
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DOI:
10.17148/IJARCCE.2023.12237
