Prior information of level of particulate matter in surrounding air can save human lives from probable deteriorated health condition. Contemporary solutions are inadequate to monitor the air borne particulate matter level remotely. This paper presents a novel technique to monitor 2.5μm sized particulate matter level in smarter way. Internet of Things based cloud services have been incorporated to store and analyze the measured data in cloud servers. An optical sensor is integrated with the system which enables the user to visualize the density level of particulate matters in real time. Serial output empowers the user to monitor the process of capture of data, network connectivity, and data transmission towards the clouds. Average value of PM2.5 density from the experiment was found as 200 mg/m 3 .
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Partha Pratim Ray (2016) studied this question.
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