Face masks have become an increasingly important part of the human lifestyle. Ever since the pandemic began, people have been encouraged to wear face masks to curb the spread of Covid-19. The aim of this project is to replicate on a computer what human beings are able to do so effortlessly - detect the presence of faces in their field of vision. This project aims at using a camera placed in different places around the area, to capture images and detect the presence of a facemask in real-time. The proposed Face Detection System is an application that automates the detection of frontal human faces in a given image. The existence of a mask is indicated by a green square around the person’s face along with the percentage of accuracy of the positioning of the mask. The absence of the mask, however, is indicated by a red square around the person’s face, and its related percentage is also displayed to be accurately used for detecting whether a person is wearing a mask properly or not.