FACE MASK DETECTION USING DEEP LEARNING BASED ON NEURAL NETWORK ANALYZER

A series of recent findings strengthened the case for the preventive wearing of masks. Face masks are very important utility in eliminating spread of Covid-19 by blocking droplets. The prevailing logical sentiment says covers are extremely helpful, and even moderately basic home-caused veils to can offer an extraordinary level of insurance against the novel coronavirus. In offices, schools, colleges, industries it is quiet difficult to monitor whether people are wearing masks or not. In such scenarios deep learning could play vital role in identifying whether people are wearing masks or not and identify them. The major aim and objective of this study is to explore the possibility of the computerized detection of mask or spectacles kind of objects and implementing a convolutional neural network using supervised machine learning to reliably detect the presence of mask or spectacle in input images