Machine Learning Techniques and Systems for Mask-Face Detection—Survey and a New OOD-Mask Approach

Mask-face detection has been a significant task since the outbreak of COVID-19 pandemic in early 2020. While various reviews on mask-face techniques up to 2021 are available, little reviewed distinction between two-class (i.e., wearing mask and without mask) three-class masking, which includes an additional incorrect-mask-wearing class. Moreover, no formal review conducted implementing models hardware systems or mobile devices. The objectives this paper three-fold. First, we aimed provide up-to-date recent research both cases cases, next, fill gap left by existing providing systems; propose new framework named Out-of-distribution Mask (OOD-Mask) perform using only training data. This was achieved treating scenario as anomaly, leading reasonable performance absence data third