Face Mask Detection Using Convolutional Neural Network

Abstract

With the horizon still brim-full, effective efforts to contain the COVID-19 pandemic require a high level of attention to offset severely impacted community fitness and the global financial system. Without the potent antiviral and expensive scientific resources, WHO recommends a number of ways to limit infection rate contamination and avoid depleting the medical system's limited resources. Several of the non-pharmaceutical treatments are to wear a mask. A mask is one of the non-medical techniques that can be used to reduce the quantity of infected droplets ejected by affected individuals. Nonetheless of debates concerning clinical sources and mask variations, all countries require public use of masks that cover the nose and mouth. This project hopes to achieve a more accurate and useful method that could efficiently contribute to community fitness.