AN AUTOMATED COVID-19 FACEMASK DETECTION WITH DEEP LEARNING

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Dr. S. Radha, et al.

Abstract

The COVID-19 pandemic is causing a worldwide wellbeing emergency so the successful security strategies is wearing a face veil in open regions as indicated by the World Health Organization (WHO). The COVID-19 pandemic constrained governments across the world to force lockdowns to forestall infection transmissions. Reports show that wearing face veils while at work unmistakably diminishes the danger of transmission. A proficient and monetary methodology of utilizing AI to establish a protected climate in an assembling arrangement. A mixture model utilizing profound and traditional AI for face cover discovery will be introduced. A face veil identification dataset comprises cover and without cover pictures , we will utilize OpenCV to do continuous face location from a live stream through our webcam. To utilize the dataset to assemble a COVID-19 face veil indicator with PC vision utilizing Python, OpenCV, and TensorFlow and Keras. We will probably recognize whether the individual on video transfer is wearing a face cover or not with the assistance of PC vision and (RCNN) profound learning

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