Dynamic Face Mask Detection Using Machine Learning
Ganapathi Nalinipriya, M. Shobana, C. Siva, B . Kanisha, J. K. Monica, V. Siva Vadivu Ragavi · 2022
Omicron has impacted negatively on our everyday lives in a short amount of time. Nowadays wearing a face mask is mandatory to safeguard ourselves. With the use of the Face Mask Detection System, we can aid our society in preventing the spread of omicron. We used machine learning techniques such as TensorFlow, Keras, OpenCV, and Python to realise this concept in this paper. As a Monitor, it can keep track of multiple faces at once during a live stream. On different databases, it has a reliability of up to 90%. We can readily distinguish between persons wearing masks and those who are not, and the key benefit is that many faces may be recognised at the same time. It will be very useful in a crowd, and it can be improved by adding more features.