Project-21 :-smart covid entrance | mask detection | emglitz_technologies
‘Safety system for mask detection during this COVID-19 pandemic’.
However, because of the current epidemic, wearing masks is everyone's responsibility in the community. This system operates intelligently and monitors the person passing by wearing a mask or not. Facial recognition will meet such a problem as it removes facial features due to the resulting blockage of the face due to the mask. So, it will lower the level of ecognition. The method proposed in this paper uses TensorFlow libraries, Keras, and OpenCV for real-time face masking. The collected database contains two categories namely Masked face and Unmasked face. This dataset was taken from the Kaggle website
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