Mask Use Detection in Public Places Using the Convolutional Neural Network Algorithm

Abstract

With the corona virus which has become a world pandemic. Currently doing activities in public places, the use of masks is very necessary, the reason this mask needs to be considered because masks play an important role in preventing the virus from entering the body. Coupled with the continued increase in the spread of the coronavirus, of course, masks are very important to use. Various technologies are designed to break the chain of the spread of Covid-19 which has spread to various countries including Indonesia. Based on the problems described, this study aims to detect objects in images that use masks and do not use masks. This research consists of three stages: data collection, training, and testing of a model. The model here is helpful for mask detection to detect and classify faces with masks and without masks. Next, the model will be tested for its accuracy. The accuracy obtained was 99% tested using a webcam in real time. The algorithm used is the Convolutional Neural Network (CNN) with preprocessing techniques.