Face Mask Detection for COVID-19 Prevention using Computer Vision
Indra Gunawan, Muhamad Arief Liman, Gregorius Ryan, Fredy Purnomo · Procedia Computer Science · 2023
During the height of the Coronavirus Disease (COVID-19) pandemic, prevention by obeying health protocol is a key to fight this pandemic, one of the ways is by using a face mask. In this paper, we conduct a research to make a face mask detection using Computer Vision. This face mask detection will detect people who use mask or not using mask by using Convolutional Neural Network (CNN) Algorithm, using three models, namely MobileNetV2, ResNet50V2, and VGG16, which are trained as many as 20 epochs for each model. The result showed MobileNetV2 and Resnet50V2 have better performance in terms of accuracy and loss value than VGG16.