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Development of an IoT Based Systems to Mitigate the Impact of COVID-19 Pandemic in Smart Cities

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Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Part of the book series: Studies in Computational Intelligence ((SCI,volume 971))

Abstract

The dramatic growth of urbanization in modern cities calls for smart strategies to resolve crucial problems such as transportation, healthcare, energy, and civil infrastructure. The Internet of Things (IoT) is one of the most exciting enabling technologies to address smart city problems by creating a large global network of interconnected physical objects embedded with electronics, software, sensors, and network connectivity. Since the end of 2019, the world has been confronted with the challenge of the COVID-19 virus originating in Wuhan, China. Precautionary measures are expected to be needed in the world to combat the pandemic of COVID-19 until an effective vaccine is developed. The disease has already proven the value of modern smart healthcare which plays a significant role in preventing COVID-19. The aim of this research is to develop the COVID-19 cluster tracking system, and face mask detection system for public safety. The proposed cluster tracking system was validated for 26 test subjects in an experimental scenario of a potential COVID-19 cluster. The accuracy of the proposed face mask detection system was 86.96% observed at 0.9756 precision. According to the testing results, the proposed system was showed promising outcomes for the prevention of the COVID-19 pandemic in a smart city.

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Author information

Authors and Affiliations

  1. Faculty of Engineering Technology, The Open University of Sri Lanka, Nugegoda, Sri Lanka

    H. M. K. K. M. B. Herath & G. M. K. B. Karunasena

  2. Faculty of Engineering, University of Moratuwa, Moratuwa, Sri Lanka

    H. M. W. T. Herath

Authors
  1. H. M. K. K. M. B. Herath
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  2. G. M. K. B. Karunasena
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Editor information

Editors and Affiliations

  1. Department of EECS, Vanderbilt University, Nashville, TN, USA

    Uttam Ghosh

  2. ENSAK, Sultan Moulay Slimane University, Beni-Mellal, Morocco

    Yassine Maleh

  3. Charles Darwin University, Darwin, NT, Australia

    Mamoun Alazab

  4. Department of Computer Science and Engineering, Independent University, Dhaka, Bangladesh

    Al-Sakib Khan Pathan

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Herath, H.M.K.K.M.B., Karunasena, G.M.K.B., Herath, H.M.W.T. (2021). Development of an IoT Based Systems to Mitigate the Impact of COVID-19 Pandemic in Smart Cities. In: Ghosh, U., Maleh, Y., Alazab, M., Pathan, AS.K. (eds) Machine Intelligence and Data Analytics for Sustainable Future Smart Cities. Studies in Computational Intelligence, vol 971. Springer, Cham. https://doi.org/10.1007/978-3-030-72065-0_16

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