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Design of the mobile-robot-based surveillance system on university campuses to reduce the effects of COVID-19 pandemic
2021
International Conference on Research in Intelligent and Computing in Engineering
Preserved Fulltext
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
doi:10.15439/2021r4
dblp:conf/rice/DaoCLT21
fatcat:oluokwxke5b5rp225ybhrlmqai