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Face recognition is a promising area of applied computer vision . This technique is used to recognize a face or identify a person automatically from given images. In our daily life activates like, in a passport checking, smart door, access control, voter verification, criminal investigation, and many other purposes face recognition is widely used to authenticate a person correctly and automatically. Face recognition has gained much attention as a unique, reliable biometric recognition technology that makes it most popular than any other biometric technique likes password, pin, fingerprint, etc. Many of the governments across the world also interested in the face recognition system to secure public places such as parks, airports, bus stations, and railway stations, etc. Face recognition is one of the well-studied real-life problems. Excellent progress has been done against face recognition technology
Face mask detection is a simple model to detect face mask .Due to COVID-19 there is need of face mask detection application on many places like Malls and Theatres for safety. By the development of face mask detection we can detect if the person is wearing a face mask and allow their entry would be of great help to the society.
face Mask detection model is built using the Deep Learning technique called as Convolutional Neural Networks (CNN).?This CNN Model is built using the Keras and Tensor Flow framework and the OpenCV library which is highly used for real-time applications.