• Nitish kesarwani
• Nishant yadav
• Prakanshu Mishra
• Nirbhay pratap singh

According to the World Health Organization, the corona virus COVID-19 pandemic is producing a worldwide health catastrophe, and the most effective protective technique is wearing a face mask in public places (WHO). The COVID-19 epidemic compelled governments all over the world to implement lockdowns in order to limit viral spread. According to reports, wearing a face mask while at work significantly decreases the chance of transmission.An efficient and economic approach of using AI to create a safe environment in a manufacturing setup. A model using deep learning for face mask detection will be presented. A face mask detection dataset consists of with mask and without mask images , we are going to use OpenCV to do real-time face detection from a live stream via our webcam. We will use the dataset to build a COVID-19 face mask detector with deep learning using Python, OpenCV, and Keras. Our goal is to identify whether the person on image/video stream is wearing a face mask or not with the help of deep learning.

machine learning deep learning

"Face mask detection system using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.a799-a802, July-2021, Available :http://www.jetir.org/papers/JETIR2107104.pdf

"Face mask detection system using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppa799-a802, July-2021, Available at : http://www.jetir.org/papers/JETIR2107104.pdf