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Real-Time Face Mask Detection System by ankita meena is a document available to read on EtoBox.

1. The document presents a deep learning model called Facemasknet that can identify if a person is wearing a face mask, improperly wearing a mask, or not wearing a mask using images or live video. 2. Facemasknet was trained on a dataset and can detect faces, extract the region of interest, and classify if a mask is being worn correctly, incorrectly, or not at all. 3. The model aims to monitor proper mask wearing to help reduce the spread of COVID-19 and can be used to analyze CCTV footage to detect mask

Author
ankita meena
Language
EN