Smart Monitoring and Controlling of COVID 19 using IOT, Big Data, Machine Learning

Authors

  • Sonia Verma  Assistant Professor, CSE, KNMIET, Ghaziabad, Uttar Pradesh, India
  • Manoj Kumar Phadwas  Junior Telecom officer, ALTTC, BSNL, Ghaziabad, Meerut, Uttar Pradesh, India

DOI:

https://doi.org//10.32628/CSEIT206262

Keywords:

Coronavirus, Internet of Things, Sensors, Security, Big Data analytics, Mobile computing, Cloud computing, Artificial Intelligence

Abstract

Our goal is to develop an environment to monitor and controlling a corona virus of 2019 (COVID-19) with I2OT i. e. Intelligent Internet of Things. Analytics have changed the way disease outbreaks are tracked and managed, hence saving lives. Using technology smart sensor, facial recognition and location, existing surveillance cameras to identify, trace, and monitor people that may have contracted the coronavirus. The Internet of Things, a network of interconnected systems and advances in data analytics, artificial intelligence and ubiquitous connectivity can help by providing an early warning system to curb the spread of infectious diseases.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-05-30

Issue

Volume 6, Issue 3, May-June-2020

Section

Research Articles

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How to Cite

[1]
Sonia Verma, Manoj Kumar Phadwas, " Smart Monitoring and Controlling of COVID 19 using IOT, Big Data, Machine Learning , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.42-50, May-June-2020. Available at doi : https://doi.org/10.32628/CSEIT206262