Face Mask Recognition System Using Conventional Neural Networks

Face Mask Recognition System Using Conventional Neural Networks
Author(s):
Pashikanti Chakradar, Bathini Sriharshitha
Keywords:
Deep Learning, TensorFlow, Keras, OpenCV
Abstract
Coronavirus plague has quickly disturbed our everyday lives influencing the worldwide exchange and developments. Wearing a facial covering to safeguard one's face has turned into the new typical. Sooner rather than later, numerous public specialist organizations will anticipate that the clients should wear covers properly to participate in their administrations. Subsequently, facial covering recognition has turned into a basic obligation to help overall human progress. This paper gives a straightforward method for accomplishing this goal using some key AI apparatuses such as TensorFlow, Keras, OpenCV and Scikit-Learn. The recommended procedure effectively perceives the face in the picture or video and afterward decides if it has a cover on it. As an observation work entertainer, it can likewise perceive a face along with a cover moving as well as in a video. The method accomplishes astounding exactness. We examine ideal boundary values for the Convolutional Brain Organization model (CNN) to distinguish the presence of covers precisely without producing over-fitting. The greatest accuracy is 96.84% measured using Proposed Deep Learning Method.
Article Details
Unique Paper ID: 166624 Publication Volume & Issue: Volume 11, Issue 2 Page(s): 1336 - 1342
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