DETECTING FACE MASK USING A DEEP LEARNING METHOD
Main Article Content
Abstract
Environmental pollution and respiratory diseases such as the COVID-19 pandemic, are capable of being transmitted through the air and affecting human health. To protect the safety of oneself and the community, one of the proposed solutions is to wear a mask. Therefore, this study focuses on detecting the faces of people wearing or not wearing masks from surveillance camera data, collected video data combined with a Convolutional Neural Network (CNN) algorithm deep learning, machine learning will classify the data into two labels. The research results have two major contributions: (a) detecting wearing a mask and not wearing a mask, and (b) proposing two CNN deep learning models evaluated and compared for Accuracy, Precision, Recall, and F1-Score with an accuracy of 99.94%.
Keywords
Convolutional Neural Network (CNN), Deep learning, Face Mask, OpenCV, Image processing
Article Details
References
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