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Real-Time Face Mask Detection System by International Journal of Innovative Science and Research Technology is a document available to read on EtoBox.

1) The document describes a machine learning model for real-time face mask detection using TensorFlow, Keras, OpenCV and Scikit-learn. 2) The model uses two datasets containing over 3,800 images total - one with people wearing face masks and one without. 3) The proposed approach uses a cascade classifier and pre-trained CNN with convolutional and dense layers to detect faces and classify them as masked or unmasked in real-time.

Author
International Journal of Innovative Science and Research Technology
Language
EN