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ISSN:2454-4116

International Journal of New Technology and Research

Impact Factor 3.953

(An ISO 9001:2008 Certified Online Journal)
India | Germany | France | Japan

A Protective Mask Distinguish System Using Image Visualization

( Special Issue VIT Campus,June 2021 ) OPEN ACCESS
Author(s):

Vivek Sharma, Shresth Gupta, Suryansh Sharma, Swapnil Saini, Swaroop Kumar

Keywords:

Covid -19 epidemic,Jetbrains Pycharm, Protective Mask Distinguish, OpenCV,Tensor and Keras ,Python programming

Abstract:

The corona virus COVID-19 epidemic is producing a global health disaster so the effective conservation methods is fatiguing a protective mask in public areas according to the World Health Organization (WHO). The COVID-19 epidemic forced governments across the world to thrust isolation to prevent disease transmissions. Reports specify that wearing Protective masks while at work clearly bring down the risk of transmission. We will use the dataset to build a COVID-19 Protective mask distinguish with image vision using Python, OpenCV, and Tensor Flow and Keras. In our present system we will use live video stream and finally in output it gives efficiency of wearing mask or not when someone not wearing mask Our aim is to recognize whether the person on image/video stream is wearing a face mask or not with the assist of image visualization.Therefore, this research project wind up with show truth that social distancing and wearing protective masks helps decrease the roll out of the virus and thus construct a model to help detect these measures.

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