Face Mask Detection

Face mask detection, driven by the COVID-19 pandemic, focuses on automatically identifying whether individuals are wearing masks and, in some cases, classifying mask type and proper usage. Research heavily utilizes Convolutional Neural Networks (CNNs), particularly variations of YOLO and other lightweight architectures, often incorporating transfer learning and attention mechanisms to optimize speed and accuracy. This technology has significant implications for public health monitoring, enabling automated enforcement of mask mandates and contributing to epidemiological studies by providing large-scale data on mask usage.