STM Journals Peer-reviewed research from Consortium e-Learning Network

Trends in Opto-electro & Optical Communication

Covid-19 Face Mask Detection Using Tensor Flow, Keras and Open CV

  1. Dr. Subburayalu Gopalkrishnan
  2. T. Chitra
  3. C. Sundar

Abstract

COVID-19 pandemic has fast exaggerated our regular existence disorderly the whole international trade and movements. Carrying a protective face masks has emerge as a novel common in the near destiny, a variety of community provider contributors will ask the customers to put on masks nicely to avail of their offerings. Therefore, face masks detection has become a important project to assist global society. This manuscript affords a simple technique to achieve this reason using a number of basic machine mastering programs like TensorFlow, Keras, OpenCV and Scikit-learn. The proposed approach detects the face from the discern properly after which identifies if it has a mask on it or now not. As a surveillance assignment performer, it could also stumble on a face along with a masks in movement. The approach attains accuracy as much as 95.Seventy seven% and ninety four.Fifty eight% respectively.

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