Scopus Indexed Publications

Paper Details

A Data Mining Approach to Finding Face Mask from Bangladeshi News Channel
Md Shohel Arman, Hasnur Jahan, Khalid Been Md. Badruzzaman Biplob, Lameya Islam, Md. Rittique Alam, Mr. Musabbir Hasan Sammak,

Face Mask Detection is currently a hot topic that has piqued the interest of researchers all over the world. Today, the entire world is dealing with the COVID-19 pandemic. To control the spread of the Coronavirus the most important task people need to do is use a mask. There is still a lot of research and study being done on COVID-19. Several studies have also shown that wearing a face mask significantly reduces the problem of viral transmission. In addition, a person wearing a face mask perceives a sense of protection. When we are at home, we take care of everything, but when we are in public places such as offices, malls, and colleges, it becomes more difficult to keep people safe. Machine Learning and Data Mining are a collection of technologies that provide effective solutions to complex problems in a variety of fields. We attempted to develop a face mask recognition system using machine learning in order to prevent the spread of the Coronavirus. This is a good system for detecting a face mask in news channel images and videos. It can recognize both Mask and No Mask faces. With the advancement of this system, it will be possible to detect whether or not a person is wearing a face mask. If the person is not wearing a face mask, it will display a message such as "No Mask," otherwise it will display "Mask Detected."

COVID-19 , Deep learning , Pandemics , Face recognition , Computational modeling , Big Data , Data models
Journal or Conference Name
2022 13th International Conference on Computing Communication and Networking Technologies, ICCCNT 2022
Publication Year