The COVID-19 pandemic has made face mask detection into a big thing because it is essential in public health monitoring. Meanwhile, the growing number of things that can be connected to the internet ...

The potential applications of the proposed solution in other areas beyond smart healthcare systems is public transportation or public gatherings, where face mask detection is becoming increasingly ...

Using Depthwise Separable Convolutions with MobileNet data, we provide a method for mask detection-driven face picture classification that is both fast and accurate, as demonstrated in this work.

For face mask detection using keras/tensorflow, python, OpenCV and mobilenet we have used 3835 images for dataset. All images are extracted from Kaggle datasets and RMFD dataset, Bing Search API.

Face mask detection in video stream: Frames are continiously extracted from the video stream. The same pre-trained openCV face detetcion model is used for detecting faces in each frame and the ...