• Archana Pushparaj
• Raji Rajendran
• Sophia BJ
• Vishnupriya PB
• Al shaina.S

The Transmission of Corona virus disease is affected world-wide. Around 126 million peoples are infected with the Covid 19 virus and it caused 2.9 million deaths. There is no special treatments against the virus, wearing face mask has become an effective method to prevent the transmission of disease. In this situation face mask wearing is mandatory for one and each. There is not any information about the automatic detection of face mask wearing conditions. In our paper we proposed a face mask detection using CNN and deep learning technologies. Our proposed algorithm contains several steps that are 1. Import tensor flow, 2.Import keras, 3.Create model, 4.Create hidden layers, 5. Create output layers, 6. Compile 7.Fit and Set. Our method proposes a medical face mask wearing detector with CNN. The input image is tested with our trained ML model and results were the image is masked or not. The door opened for those who are masked. And it will be closed for whom that did not wear mask properly.

CNN(convolutional neural network) MMD (Medical masks dataset) FMD (Face mask dataset ) NFW (No face mask wearing) IFW (Incorrect face mask wearing) CFW (Correct face mask wearing

"MEDICAL FACE MASK DETECTION USING CNN ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.b509-b514, June-2021, Available :http://www.jetir.org/papers/JETIR2106210.pdf

"MEDICAL FACE MASK DETECTION USING CNN ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppb509-b514, June-2021, Available at : http://www.jetir.org/papers/JETIR2106210.pdf