Identification of people without a mask using Deep Learning

This work makes use of convolutional neural networks to detect people with and without mask, due to the current situation of COVID-19 and in accordance with the biosecurity measures instructed by government and health institutions, it has been proven in a way that the use of surgical masks or chinstraps help to reduce the risk of contagion of the disease, the need to be able to detect or identify people who are not wearing a mask becomes evident, not complying with this biosecurity measure and putting a group of the population at risk.Initially, a training repository was established consisting of images of people with and without masks, these images were obtained from different sources.