• Ms. Khushi Nikumbh
• Ms. Mansi Shardul
• Mr. Pravin Chaudhari
• Mr. Neil Narse
• Mrs. Gayatri Jagtap

In these tough times of Pandemic (COVID -19) situation, wouldn’t it be worthy to do something related to face detection to ensure our safety? Face Detection has evolved popularly in Image processing and Computer Vision. Face detection is more relevant today because it not only used on images but also in video applications like real time surveillance and face detection in videos. High accuracy image classification is possible now with the advancements of Convolutional networks. Our aim is to design a Binary Face Classifier which can detect any face present in the frame regardless of its alignment. The purpose of the research is to identify whether the user is wearing a mask or not? It alerts the user if not wearing the mask, and the recorded images are sent to the registered mail-id. The Pandemic Preventer (mask detection system) runs automatically and enforces the wearing of the mask. The face mask detector system can work on any existing cameras without the installation of any new cameras. The Face Mask Detection System can be used at office premises to ensure that employees are maintaining safety standards at work. It monitors employees without masks and alert them to wear a mask. It can also be used in schools as well as in colleges, ensuring safety of the students. Post COVID-19 it can also be put to application in various fields of work.

Artificial Intelligence, cascade, Python, Mask

"Face Mask Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.f204-f206, May-2021, Available :http://www.jetir.org/papers/JETIR2105694.pdf

"Face Mask Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppf204-f206, May-2021, Available at : http://www.jetir.org/papers/JETIR2105694.pdf