Face Mask Detection System using Deep Learning

  • Pinki and Prof. Sachin Garg
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Abstract

In the present scenario due to Covid-19, there is no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. This system can therefore be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of Covid-19. This project can be integrated with embedded systems for application in airports, railway stations, offices, schools, and public places to ensure that public safety guidelines are followed. To identify the person on image/video stream wearing face mask or not. If the person doesn’t wear a mask, the notification will be sent to the respected admin with the help of Python and deep learning algorithm by using the Convolutional Neural Network, Keras Framework and OpenCV.

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APA

Pinki and Prof. Sachin Garg. (2020). Face Mask Detection System using Deep Learning. International Journal for Modern Trends in Science and Technology, 6(12), 161–164. https://doi.org/10.46501/ijmtst061231

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