Using ML for Facial Mask Detection

The COVID-19 pandemic has severely impacted our daily lives and continues to spread over the globe. Wearing a protective face mask to prevent the spread of infection has become the accepted norm. Since people have become a it careless towards wearing facial masks outdoors, this system detects the human individual through videos not wearing a mask and informs the authorities about it. This paper proposes a simplified approach to accomplishing this goal utilizing TensorFlow, Keras, and OpenCV, as well as some fundamental Machine Learning packages. We have used the Res10 SSD Caffe model for face detection and Image classification is done through MobileNetV2 architecture for the implementation of our system. By attaining high precision, real-time detection, and classification, the suggested methodology established its effectiveness in identifying facial masks.