Detecting face mask using eigenfaces and vanilla neural networks

Coronavirus has <span>become one of the most deadly pandemics in 2021. Starting 2019, this virus is now a significant medical issue all over world. It spreading extensively because its modes transmission. The spreads directly, indirectly, or through close contact with infected people. proclaimed that people should wear mask public areas as counteraction measure, it helps suppressing A portion spaces, where broadly fanned out, inappropriate wearing facial cover. In crowded areas, keeping check on masks manually difficult. To automate process, an effective and robust face detector required. This paper discusses hybrid approach using machine learning technique called eigenfaces, along vanilla neural networks. accuracy was compared for three different values principal components. test achieved 0.87 64 components, 0.987 512 0.989 1,000 Hence, proved to be more promising efficient than counters.</span>