Cloud enabled air quality detection, analysis and prediction - A smart city application for smart health

Yash Mehta, M. M.Manohara Pai, Sanoop Mallissery, Shwetanshu Singh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages272-278
Number of pages7
ISBN (Electronic)9781509013654
DOIs
Publication statusPublished - 26-04-2016
Event3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016 - Muscat, Oman
Duration: 15-03-201616-03-2016

Conference

Conference3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016
CountryOman
CityMuscat
Period15-03-1616-03-16

Fingerprint

Air quality
air quality
air
Health
prediction
health
road traffic
sensor
Intellectual property
television
Television
Chemical sensors
Toxicity
Pollution
pollutant
infrastructure
toxicity
pollution
detection
smart city

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Development
  • Urban Studies

Cite this

Mehta, Y., Pai, M. M. M., Mallissery, S., & Singh, S. (2016). Cloud enabled air quality detection, analysis and prediction - A smart city application for smart health. In 2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016 (pp. 272-278). [7460380] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBDSC.2016.7460380
Mehta, Yash ; Pai, M. M.Manohara ; Mallissery, Sanoop ; Singh, Shwetanshu. / Cloud enabled air quality detection, analysis and prediction - A smart city application for smart health. 2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 272-278
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Mehta, Y, Pai, MMM, Mallissery, S & Singh, S 2016, Cloud enabled air quality detection, analysis and prediction - A smart city application for smart health. in 2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016., 7460380, Institute of Electrical and Electronics Engineers Inc., pp. 272-278, 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016, Muscat, Oman, 15-03-16. https://doi.org/10.1109/ICBDSC.2016.7460380

Cloud enabled air quality detection, analysis and prediction - A smart city application for smart health. / Mehta, Yash; Pai, M. M.Manohara; Mallissery, Sanoop; Singh, Shwetanshu.

2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 272-278 7460380.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Mehta Y, Pai MMM, Mallissery S, Singh S. Cloud enabled air quality detection, analysis and prediction - A smart city application for smart health. In 2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 272-278. 7460380 https://doi.org/10.1109/ICBDSC.2016.7460380