COVID-19 Face Mask Detection Alert System

Study shows that mask-wearing is a critical factor in stopping the COVID-19 transmission. By time of this article, most states have mandated face masking public space. Therefore, real-time mask detection becomes an essential application to prevent spread pandemic. This study will present system can detect and monitor from camera feeds alert when there violation. The algorithm uses haar cascade classifier find facial features feed then utilizes it status. With increasing number cases all over world, replace humans check masks on faces people greatly needed. satisfies need. be employed places like transport stations malls. It great help companies huge establishments where lot workers. Alongside this, we used basic concepts transfer learning neural networks finally output presence or absence image video stream. Experimental results show our model performs well test data with 100 percent 99 precision recall, respectively. We are making savvy framework identify whether specific user has worn not further tell accuracy level detection. Our python AI-based which safe quick for implementation. because easy obtain store employees working Company very easily who wearing sent respective person take Precautions mask. Potential delays analyzed, efforts made reduce them achieve experiment result presented achieves 45fps 720p Video output, response 0.15s 99%. Keywords: Covid-19, Face Mask Detection, Alert System, CCTV DOI: 10.7176/CEIS/13-2-01 Publication date: March 31 st 2022