Design of the mobile-robot-based surveillance system on university campuses to reduce the effects of COVID-19 pandemic

• Autorzy: Dao Quy Xuan , Cao Viet Thanh , Trinh Duc Ngoc , Linh Linh Thi Kim

Identyfikatory

DOI

10.15439/2021R4

• Konferencja: Sixth International Conference on Research in Intelligent and Computing
• Języki publikacji: EN

Abstrakty

EN

This paper introduces a new surveillance system to detect wearing-mask and monitor social distancing and body temperature to reduce the effects of the COVID-19 pandemic on university campuses. This surveillance system was designed and implemented to SunBot, an autonomous mobile, based on hardware including Jetson Nano, camera, and thermal camera, and open-source software including OpenCV, YOLOv3, MobilNetv2, TensorFlow, Keras. Both hardware and software are basic, simple to deploy, and affordable cost. Experimental results showed that the surveillance system deployed on university campuses to reduce the effects of the COVID-19 pandemic worked as expected.

Słowa kluczowe

EN

mask detection; social distancing monitoring; body temperature monitoring; covid-19

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2021
• Tom: Vol. 27
• Strony: 23--28
• Opis fizyczny: Bibliogr. 25 poz., fot., rys.

Twórcy

autor

Dao Quy Xuan

• Eastern International University [e-mail]

autor

Cao Viet Thanh

• Eastern International University [e-mail]

autor

Trinh Duc Ngoc

• Eastern International University

autor

Linh Linh Thi Kim

• Eastern International University

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).