Social Distancing Automation Software Based on Cloud
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.
Anahtar Kelimeler
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]
Ayrıntılar
Birincil Dil
İngilizce
Konular
Yapay Zeka
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
30 Ağustos 2021
Gönderilme Tarihi
17 Temmuz 2021
Kabul Tarihi
17 Ağustos 2021
Yayımlandığı Sayı
Yıl 2021 Cilt: 1 Sayı: 1
APA
Demir, A. Ş., & Emek, S. (2021). Social Distancing Automation Software Based on Cloud. Journal of Artificial Intelligence and Data Science, 1(1), 59-62. https://izlik.org/JA32LK24MC
AMA
1.Demir AŞ, Emek S. Social Distancing Automation Software Based on Cloud. Journal of Artificial Intelligence and Data Science. 2021;1(1):59-62. https://izlik.org/JA32LK24MC
Chicago
Demir, Ali Şahin, ve Sevcan Emek. 2021. “Social Distancing Automation Software Based on Cloud”. Journal of Artificial Intelligence and Data Science 1 (1): 59-62. https://izlik.org/JA32LK24MC.
EndNote
Demir AŞ, Emek S (01 Ağustos 2021) Social Distancing Automation Software Based on Cloud. Journal of Artificial Intelligence and Data Science 1 1 59–62.
IEEE
[1]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, Ağu. 2021, [çevrimiçi]. Erişim adresi: https://izlik.org/JA32LK24MC
ISNAD
Demir, Ali Şahin - Emek, Sevcan. “Social Distancing Automation Software Based on Cloud”. Journal of Artificial Intelligence and Data Science 1/1 (01 Ağustos 2021): 59-62. https://izlik.org/JA32LK24MC.
JAMA
1.Demir AŞ, Emek S. Social Distancing Automation Software Based on Cloud. Journal of Artificial Intelligence and Data Science. 2021;1:59–62.
MLA
Demir, Ali Şahin, ve Sevcan Emek. “Social Distancing Automation Software Based on Cloud”. Journal of Artificial Intelligence and Data Science, c. 1, sy 1, Ağustos 2021, ss. 59-62, https://izlik.org/JA32LK24MC.
Vancouver
1.Ali Şahin Demir, Sevcan Emek. Social Distancing Automation Software Based on Cloud. Journal of Artificial Intelligence and Data Science [Internet]. 01 Ağustos 2021;1(1):59-62. Erişim adresi: https://izlik.org/JA32LK24MC