Abstract: The world is experiencing severe health issue as a result of the rapid spread of coronavirus disease-2019 (COVID-19). According to the World Health Organization (WHO), the best way to prevent the spread of COVID-19 is wearing a mask and keeping a distance. But there is huge neglect of the guidelines by people which is resulting in daily increase in an infected patient. In these regions, manually monitoring the citizens is quite challenging. So, in this paper, we study ideas to monitor people using the automation process to identify the people who are wearing the mask and who are not. Many incipient trained models are being developed utilizing pre-subsisting datasets to make the algorithm as precise as possible.

Keywords: Semantic Segmentation, OpenCV, Convolutional Neural Network(CNN), YOLO, Deep Learning,

PDF | DOI: 10.17148/IJARCCE.2021.10472

Open chat
Chat with IJARCCE