Human Face Mask Identification using Deep Learning with OpenCV Techniques
Rahul Baghel, Pallavi Pahadiya, Upendra Singh · 2022 7th International Conference on Communication and Electronics Systems (ICCES) · 2022
According to the WHO, COVID 19 virus is spread by respiratory droplets and personal contact. To prevent the transmission of this virus, the use of masks and social isolation is recommended. Because COVID 19 virus droplets may fall on any surface, the more crucial of the two measures is to wear a mask. It is vital to keep track of who is and is not wearing a mask. To comply with regulatory requirements, a mask recognition system capable of recognizing any kind of mask as well as masks in a variety of configurations inside video streams has been developed. To detect masks from images/video streams, a deep learning approach and the Python TensorFlow, Keras, and Pytorch packages are utilized. The suggested technology is capable of distinguishing persons who use masks from those who do not.