| Title |
Cloud enabled Air Quality Detection, Analysis and Prediction - A Smart City Application for Smart Health |
| ID_Doc |
39463 |
| Authors |
Mehta, Y; Pai, MMM; Mallissery, S; Singh, S |
| Title |
Cloud enabled Air Quality Detection, Analysis and Prediction - A Smart City Application for Smart Health |
| Year |
2016 |
| Published |
|
| DOI |
|
| Abstract |
The work proposes a cloud based air quality detection system that analyzes the data for providing atmospheric quality to the user in real time. The data, collected through various gas sensors deployed outdoors in strategic locations across the city of Manipal, Karnataka is sent to the cloud via an adaptive interface that supports 2G/3G/4G infrastructure. Also, a live feed of Closed-circuit Television (CCTV) footage of some strategic locations of Manipal's road traffic is sent to the cloud for analysing the density of pollutants in air with respect to the road traffic. In addition to this, the database from the Regional Transport Office (RTO) and the Computerized Pollution Check Centres of Manipal provide a basis for a comparative analysis of the variances in the spectrum of emissions from vehicles and sensor-based data coming from strategic locations. This combination along with the knowledge of the geographic and industrial properties of the area will help analyse the data for finding patterns in air quality in a particular time interval. The proposed model will then be able to predict the air quality for future days. A web and mobile application interface will help the users to check and understand the air quality at their current location. The mobile application will also notify the user about severe toxicity. People with respiratory problems will be able to get personalized notifications for poor conditions. |
| Author Keywords |
Air Quality; Cloud Computing; WSN; IoT; Smart Cities |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000382689100048 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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