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An Integrated IoT System to Control the Spread of COVID-19 in Egypt

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020 (AISI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1261))

Abstract

Coronavirus disease 2019 (COVID-19) is one of the most dangerous respiratory illness through the last one hundred years. Its dangerous is returned to its ability to spread quickly between people. This paper proposes a smart real solution to help Egyptian government to track and control the spread of COVID-19. In this paper, we suggest an integrated system that can ingest big data from different sources using Micro-Electro-Mechanical System (MEMS) IR sensors and display results in an interactive map, or dashboard, of Egypt. The proposed system consists of three subsystems, which are: Embedded Microcontroller (EM), Internet of Things (IoT) and Artificial Intelligent (AI) subsystems. The EM subsystem includes accurate temperature measuring device using IR sensors and other detection components. The EM subsystem can be used in the entrance of places like universities, schools, and subways to screen and check temperature of people from a distance within seconds and get data about suspected cases. Then, the IoT subsystem will transmit the collected data from individuals such as temperature, ID, age, gender, location, phone number. etc., to the specific places and organizations. Finally, a software based on AI analysis will be applied to execute statistics and forecast how and to what extent the virus will spread. Due to the important role of Geographic Information Systems (GIS) and interactive maps, or dashboards, in tracking COVID-19, this paper introduces an advanced dashboard of Egypt. This dashboard has been introduced to locate and tally confirmed infections, fatalities, recoveries and present the statistical results of AI model.

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, Faculty of Engineering (Shoubra), Benha University, Benha, Egypt

    Aya Hossam

  2. Electrical Engineering Department, Faculty of Engineering, Suez Canal University, Ismailia, Egypt

    Ahmed Magdy

  3. Nanotechnology Central Lab, Electronics Research Institute (ERI), Cairo, Egypt

    Ahmed Fawzy

  4. Computers and Systems Department, Electronics Research Institute, Cairo, Egypt

    Shriene M. Abd El-Kader

Authors
  1. Aya Hossam
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  2. Ahmed Magdy
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  3. Ahmed Fawzy
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  4. Shriene M. Abd El-Kader
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Corresponding author

Correspondence to Aya Hossam .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Artificial Intelligence, Information Technology Department, and Chair of the Scientific Research Group in Egypt, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  2. Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

    Adam Slowik

  3. Faculty of Electrical Engineering and Computer Science, VÅ B-Technical University of Ostrava, Ostrava-Poruba, Moravskoslezsky, Czech Republic

    Václav Snášel

  4. Rector of the Electronic Research Institute, Cairo, Egypt

    Hisham El-Deeb

  5. Faculty of computers and information, Ain Shams University, Cairo, Egypt

    Fahmy M. Tolba

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Hossam, A., Magdy, A., Fawzy, A., Abd El-Kader, S.M. (2021). An Integrated IoT System to Control the Spread of COVID-19 in Egypt. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_31

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