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

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  • Sonia Verma
  • Manoj Kumar Phadwas

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.

Suggested Citation

  • Sonia Verma & Manoj Kumar Phadwas, 2020. "Smart Monitoring and Controlling of COVID 19 using IOT, Big Data, Machine Learning," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 6(3), pages 42-50, May.
    • Handle: RePEc:jbh:ijsrcs:v6:y2020:i3:id:hcseit206262
    DOI: 10.32628/CSEIT206262
    Note: Article URL: https://ijsrcseit.com/CSEIT206262
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