Face mask detection system will be considered as one of the best modalities for biometric info extracting models. Those
models are mainly required for ensuring safety and hygiene in a public premises. This research paper has proposed a very fast
image pre-processing with the mask in the center over the faces. For this system, we will be using characteristics extraction and
CNN Networks made up of neurons which will be used ultimately for classifying the data into labels. Features extracted by
neurons in the training phase are used for classification and detection of a masked person from person without mask. This
research work will be carried out in three levels: preprocessing the images, cropping the images considering resizing as well and
classification of the images. This helps to detect whether the face is having mask or not.
