Facial Mask Detection and Alert System

Abstract

COVID-19 (declared pandemic by WHO) caused by unique virus called coronavirus has been spreading unceasingly, and causing a global health crisis. This has forced governments around the world to take blockade measures to prevent the spread of the virus. The majority of sectors of development is effected due to COVID-19. To lessen the spread of this caused disease good number of preventive measures is considered and one of them is covering with mask in crowded sites. This is also declared to be one of the effective methods according to WHO (World Health Organization). Reports indicate that wearing facemasks while at work, in public places, manufacturing setup reduces the risk of transmission. As a solution, an efficient and economical approach of using deep learning allows to create a safe environment in a manufacturing setup and public places. The system proposed within this project, restricts the unease spread of coronavirus by differentiating individuals with and without mask in public places that is being tracked through Live feed cameras. If an individual not covered with a mask is found, the respective staff is instructed with a message, and an alert sound message to “ Wear the mask” is given to the person. The dataset which is collected from different sources comprises the images of individuals covering with masks and not covering with masks. This will be used to train the deep learning architecture.