Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment

• DOI: 10.1007/s11042-021-10711-8
• Publication Date: 2021-03-01T06:02:52Z
• Authors: Sunil Singh; Umang Ahuja; Munish Kumar; Krishan Kumar; Monika Sachdeva
• Keywords: Face masks; Bounding overwatch

There are many solutions to prevent the spread of COVID-19 virus and one most effective is wearing a face mask. Almost everyone masks at all times in public places during coronavirus pandemic. This encourages us explore mask detection technology monitor people places. Most recent advanced approaches designed using deep learning. In this article, two state-of-the-art object models, namely, YOLOv3 faster R-CNN used achieve task. The authors have trained both models on dataset that consists images categories with without masks. work proposes technique will draw bounding boxes (red or green) around faces people, based whether person not, keeps record ratio daily basis. also compared performance i.e., their precision rate inference time.