• Advaith V
• Afnan Rahman
• Shakteesh Bhatt
• Sricharan B

The COVID-19 pandemic is causing a worldwide emergency in healthcare. This virus mainly spreads through droplets which emerge from a person infected with coronavirus and poses a risk to others. The risk of transmission is highest in public places. One of the best ways to stay safe from getting infected is wearing a face mask in open territories as indicated by the World Health Organization (WHO). In this project, we propose a method which employs TensorFlow and OpenCV to detect face masks on people. A bounding box drawn over the face of the person describes whether the person is wearing a mask or not. If a person’s face is stored in the database, it detects the name of the person who is not wearing a face mask and an email will be sent to that person warning them that they are not wearing a mask so that they can take precautions.

Covid-19, face mask, TensorFlow, OpenCV, database.

"Face Mask Detection and Alert System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.72-74, June-2022, Available :http://www.jetir.org/papers/JETIRFM06013.pdf

"Face Mask Detection and Alert System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp72-74, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06013.pdf