Browsing by Author "1621358042"

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    Real-Time Face Mask Detection
    (North South University, 2021) Muanna Zilan; Ijaz Ahmed; Asif Anan; Atiqur Rahman; 1530810042; 1620483042; 1621358042
    Nowadays, COVID-19 is a global problem. To ensure safety, the government announced that everyone should wear a face mask. Everyone should maintain this rule. But some people don't follow this rule. Some people don't wear a face mask when they are in a public place. And police are also monitoring face mask safety. But the authority can't maintain it all the time. So, we are building an application that will detect the face mask using a camera in real-time. This system's primary goal is to see the face mask using a camera. This system will help the government or the respective authority determine who wears a face mask and who does not wear a mask, and take necessary action against those persons. The algorithm is trained to capture facial features in real-time video streams and images and recognize whether everyone is wearing a protective mask with a standard accuracy rate. Equally useful for both individual and group detection, our face mask detection system can supplement or reduce the number of enforcement agents on the ground. After performing the initial analysis, the system classifies every person as "wearing a mask" or flags as "not wearing a mask" and sends an instant alert, so we can take further action — dispatch a public audio announcement, send a custom message to a digital screen, or a personalized message to the person's phone. Proactively manage and correct visitors' behavior while remaining compliant with privacy regulations.