• KARRI CHANDRA SEKHAR YADAV

In current days the Corona Virus (COVID 19) is causing a global health crisis for each and every part of the continent. Hence there is a great need to take preventive steps for effective protection from this virus. One among the best protection step is wearing face mask in public places, which is officially announced by the WHO (World Health Organization).All the state and central governments in and around the world impose strick lockdowns to prevent and optimize the virus transmission. But still there are lot of new cases reported and many death cases are continuously updated in every part of the world. Reports clearly indicate that those who wear facemask while they go to work or public places to buy vegetables, daily grocery items and so on, has less impact from virus transmission into their body compared with those who don’t wear any face protection mask. Hence this motivated me to design an application which can identify the person whether he is wearing mask or not by taking the help of hybrid models. As we are using hybrid model for face mask detection, this model is designed by combining several classical ML algorithms as well as deep learning algorithms for face mask detection. In order to train the model for accurate detection of face mask, we try to gather dataset from UCI repository database or KAGGLE website, which contains 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 computer vision using Python, OpenCV, and Tensor Flow 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 computer vision and deep learning.

Machine Learning Algorithms, Deep Learning Model, Computer Vision, KAGGLE, UCI Repository, World Health Organization (WHO), Virus Transmission, COVID 19.

"DETECT FACEMASK IN COVID-19 PANDEMIC BY USING DEEP LEARNING AND IMAGE PROCESSING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.g740-g749, May 2021, Available :http://www.jetir.org/papers/JETIR2105897.pdf

"DETECT FACEMASK IN COVID-19 PANDEMIC BY USING DEEP LEARNING AND IMAGE PROCESSING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppg740-g749, May 2021, Available at : http://www.jetir.org/papers/JETIR2105897.pdf