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Coronavirus spread limitation using detective smart system

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Abstract

Given the circumstances, the world is going through due to the novel coronavirus (COVID-19); this paper proposes a new smart system that aims to reduce the spread of the virus. The proposed COVID-19 containment system is designed to be installed outside hospitals and medical centers. Additionally, it works at night as well as at daylight. The system is based on deep learning applied to pedestrian temperature data sets that are collected using thermal cameras. The data set is primarily of the temperature of pedestrians around medical centers. The thermal cameras are paired with conventional cameras for image capturing and cross-referencing the target pedestrian with an existing central database (Big Data). If the target is positive, the system sends a text message to the potentially infected person's cell phone upon recognition. The advisory sent text may contain useful information such as the nearest testing or isolation facility. This proposed system is assumed to be linked with the bigger network of the country’s COVID-19 response efforts. The simulation results reveal that the system can achieve an average precision of 90% fever detection among pedestrians.

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Acknowledgements

An earlier version of this manuscript has been presented as a preprint in Research Square according to the following link (Morsy et al. 2021): https://assets.researchsquare.com/files/rs.

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Authors and Affiliations

  1. Electrical Engineering Departement, Shaqra University, Al Dwadmi, Ar Riyadh, 11911, Saudi Arabia

    Morsy Ahmed Morsy Ismail & Waleed Saad

  2. Engineering Mathematics and Physics Department, Faculty of Engineering, Fayoum University, Fayoum, 63514, Egypt

    Osama Hussein Galal

  3. Electrical and Electrical Comm. Dep., Faculty of Electronic Engineering, Menoufia University, Shibin El Kom, Egypt

    Waleed Saad

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  1. Morsy Ahmed Morsy Ismail
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  2. Osama Hussein Galal
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Correspondence to Morsy Ahmed Morsy Ismail.

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Ethical approval

According to the ethical approval of Fig. 9, it is cited from Kolářová and Bernard (2015). Additionally, by tracking the licensed under a Creative Commons Attribution 4.0 International License, it is indicated that, you are free to share, copy and redistribute the material in any medium or format. In this paper, the FREE FLIR Thermal Dataset is used. It can be downloaded from: http://www.flir.com/oem/adas-dataset-form/. Furthermore, the exactly frames for testing can be shown in: http://www.youtube.com/watch?v=yODTcCwOcV4. Also, we got the number of COV-19 patients from the WHO website. It is open access website and we cited this in “Virus spreading detection” section in the paper by https://covid19.who.int/.

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Ismail, M.A.M., Galal, O.H. & Saad, W. Coronavirus spread limitation using detective smart system. ISSS J Micro Smart Syst 12, 105–116 (2023). https://doi.org/10.1007/s41683-023-00116-0

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