Publication

Abstract : Face Mask detection is not just one of the most researched problems in Computer Vision, but it’s also a critical task in a wide range of applications. Face mask recognition is a difficult problem with many applications. Most automated face mask detection analysis algorithms on the market today are designed to recognize whether a human has weared mask or not. As a result of deep learning, there is now face mask recognition has made significant progress. Three algorithms will be used in the method to recognize face mask. Few algorithms are used like You Only Look Once (YOLO), Convolution Neural Networks (CNN), and Recurrent Neural Networks (RNN). A brief description on above said algorithm is covered in this research paper. These algorithms assistances in public places to recognize the face mask or not wearing a face mask and then provide the results of it.