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international journal of computer techniques(ijct)

Paper Title : Improving The Accuarcy of Face Mask Detector System Using Machine Learning Algorithms

ISSN : 2394-2231
Year of Publication : 2022

10.29126/23942231/IJCT-v9i1p1
Authors: Shantanu Shahi, Balveer Singh

MLA Style: Improving The Accuarcy of Face Mask Detector System Using Machine Learning Algorithms " Shantanu Shahi, Balveer Singh " Volume 9 - Issue 1 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

APA Style: Improving The Accuarcy of Face Mask Detector System Using Machine Learning Algorithms " Shantanu Shahi, Balveer Singh " Volume 9 - Issue 1 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

Abstract
The COVID-19 continues to have a world-wide impact on us since its inception until late in the year 2019. Easy to see with the naked eye the way coronavirus has affected human celebration and function in the past the use of multiple face masks, in many cases of government or business licensing designed to slow the spread of the disease by preventing the spread of the respiratory virus nose and mouth. Wearing a mask is considered an effective means of preventing the spread of the coronavirus during the COVID-19 pandemic. Tools of Machine Learning such as TensorFlow, Keras, OpenCV, and Scikit-Learn are used to develop a face mask detector system. The preparation process was completed to identify the human face in the picture or photo and then to determine if it had a face mask on it. As the observation works, it can also identify faces and faces in motion and in video. These procedures are very accurate. This mask can be used at school / college to supervise students in the classroom who are not wearing masks.

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Keywords
— Occlusion, face mask, machine learning, COVID-19, deep learning

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