Face Mask Detection– A Machine Learning Approach

Mounusha S, Dr. Mallikarjun M kodabagi


The COVID-19 is an unmatched emergency inciting an immense number of incidents and security issues. To reduce the spread of Covid, individuals regularly wear shroud to promise themselves. This makes the face attestation an especially infuriating undertaking since unequivocal pieces of the face are hidden. A basic mark of the intermingling of specialists during the progressing Covid pandemic is viewed as plans to deal with this issue through fast and suitable strategies. Face Detection has made a remarkable issue in Image preparation and Computer Vision. Different new figurings are being envisioned utilizing convolutional developments to make the most of them as exact as could be viewed as ordinary. These convolutional models have made it conceivable to eliminate even the pixel subtleties. We desire to plan an equivalent face classifier that can perceive any face present in the bundling paying little psyche to its course of action. Beginning from the RGB picture of any size, the method utilizes Predefined Training Weights of Architecture with arranging is performed through Fully Convolutional Networks. This is to correspondingly set up to see an unmistakable facial cover in a solitary edge.




Computer Vision, Tensorflow, Keras, cnn algorithm.

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DOI: https://doi.org/10.26483/ijarcs.v12i0.6719


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