Graduate project

Face Mask Detection using YOLOv5 for COVID-19

COVID-19 is a big threat to human mankind. The whole world is now struggling to reduce the spread of COVID-19 virus. Wearing masks is a good practice that helps to control the COVID-19 effectively. From the results of China and South Korea that is clear wearing, facemask reduces the virus spread. Now they backed to normal life. But ensuring all peoples wearing facemask is not an easy thing. This paper attempts to develop a simple and effective model for real-time monitoring. The proposed model successfully recognize if an individual is wearing a face mask or not.

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