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Social Distancing Automation Software Based on Cloud

Yıl 2021, Cilt: 1 Sayı: 1, 59 - 62, 30.08.2021

Öz

This study aims to follow the social distance between people working together in a workplace. It is extremely important to provide a healthy workplace by both employers and employees during the pandemic.
One of the measures taken during the pandemic is to ensure social distance. In this study, an IoT (Internet of Things) based circuit design is created that measure the distance between people working together. Social distancing automation software has been developed that stores information of employees such as name, surname, identity id, and the department they work in the cloud. Measurements taken from the circuit, which will track the distance of the employees, can be transferred to the cloud with this automation application. Both employees and employers will be able to observe social distance tracking by providing access to the cloud.

Kaynakça

  • [1] T.C. Aile Çalışma ve Sosyal Hizmetler Bakanlığı, “Yeni Koronavirüs Salgini Kapsaminda İş Sağlığı ve Güvenliği Profesyonellerinin İşyerlerinde Aldıracağı Tedbirler,” [Online]. Available: https://ailevecalisma.gov.tr/media/42183/yenikoronavirus-salgini-kapsaminda-is-sagligi-ve-guvenligi-profesyonellerinin-isyerlerinde-aldiracagi-tedbirler.pdf [Accessed July 16, 2021].
  • [2] A. Gad, G. ElBary, M. Alkhedher, and M. Ghazal, “Vision-based approach for automated social distance violators detection,” 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT), ‘2020, pp. 1-5, doi: 10.1109/3ICT51146.2020.9311969.
  • [3] S. Siddiqui, M. Z. Shakir, A. A. Khan, and I. Day, “Internet of things (IoT) enabled architecture for social distancing during pandemic”, Frontiers in Communications and Networks, vol. 2, 2021. https://doi.org/10.3389/frcmn.2021.614166
  • [4] X. V. Wang, and L. Wang, “A literature survey of the robotic technologies during the COVID-19 pandemic”, Journal of Manufacturing Systems, 2021. https://doi.org/10.1016/j.jmsy.2021.02.005
  • [5] Ainstein, “5 IoT implementations for social distancing management,” [Online]. Available: https://ainstein.ai/ebook-5-iotimplementations-for-social-distancing-management/ [Accessed July 16, 2021]
Yıl 2021, Cilt: 1 Sayı: 1, 59 - 62, 30.08.2021

Öz

Kaynakça

  • [1] T.C. Aile Çalışma ve Sosyal Hizmetler Bakanlığı, “Yeni Koronavirüs Salgini Kapsaminda İş Sağlığı ve Güvenliği Profesyonellerinin İşyerlerinde Aldıracağı Tedbirler,” [Online]. Available: https://ailevecalisma.gov.tr/media/42183/yenikoronavirus-salgini-kapsaminda-is-sagligi-ve-guvenligi-profesyonellerinin-isyerlerinde-aldiracagi-tedbirler.pdf [Accessed July 16, 2021].
  • [2] A. Gad, G. ElBary, M. Alkhedher, and M. Ghazal, “Vision-based approach for automated social distance violators detection,” 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT), ‘2020, pp. 1-5, doi: 10.1109/3ICT51146.2020.9311969.
  • [3] S. Siddiqui, M. Z. Shakir, A. A. Khan, and I. Day, “Internet of things (IoT) enabled architecture for social distancing during pandemic”, Frontiers in Communications and Networks, vol. 2, 2021. https://doi.org/10.3389/frcmn.2021.614166
  • [4] X. V. Wang, and L. Wang, “A literature survey of the robotic technologies during the COVID-19 pandemic”, Journal of Manufacturing Systems, 2021. https://doi.org/10.1016/j.jmsy.2021.02.005
  • [5] Ainstein, “5 IoT implementations for social distancing management,” [Online]. Available: https://ainstein.ai/ebook-5-iotimplementations-for-social-distancing-management/ [Accessed July 16, 2021]
Toplam 5 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yapay Zeka
Bölüm Research Articles
Yazarlar

Ali Şahin Demir Bu kişi benim

Sevcan Emek Bu kişi benim

Yayımlanma Tarihi 30 Ağustos 2021
Gönderilme Tarihi 17 Temmuz 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 1 Sayı: 1

Kaynak Göster

IEEE A. Ş. Demir ve S. Emek, “Social Distancing Automation Software Based on Cloud”, Journal of Artificial Intelligence and Data Science, c. 1, sy. 1, ss. 59–62, 2021.

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