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

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

Annals of Computer Science and Information Systems

2021

Vol. 27

23--28

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.