ResNet-50 Powered Masked Face Detection: A Deep Learning Perspective

Due to the widespread use of face masks as a result of the COVID-19 pandemic, facial recognition technology, which is routinely employed for security screening in workplaces, is encountering substantial difficulties. These algorithms were commonly trained using photos of unmasked human faces, which posed challenges in recognising individuals wearing masks. In order to tackle this problem, this study introduces a deep learning model that is specifically tailored to properly identify individuals wearing masks. The model utilises the ResNet-50 architecture and has high proficiency in recognising individuals wearing face masks. The findings of this study can be incorporated into existing facial recognition software utilized for security screening purposes.