Abstract: The corona virus COVID-19 pandemic is causing a worldwide fitness disaster so the powerful safety techniques is wearing a face masks in public regions according to the arena Health Organization The COVID-19 pandemic forced governments internationally to impose lockdowns to prevent virus transmissions. reports indicate that carrying face mask whilst at work simply reduces the hazard of transmission. An efficient and economic technique of using AI to make a secure surroundings in the course of a production setup. using this newly released technique we are able to assist many to hit upon and convey safety precautions, by means of the usage of this method many fitness and social employees will be able to discover the COVID-19 affected patients. in order that they may be privy to this and hold a distance from the individual to reduce the unfold of coronavirus disease. This machine now not only works at web sites however this approach can also be helpful for the home enterprise to discover the affected customers. A hybrid version using deep and classical system studying for mask detection are going to be provided. A mask detection dataset consists of with masks and without masks pictures, We have become to apply OpenCV to try to to real-time face detection from a stay circulate thru our webcam. we will use the dataset to create a COVID-19 masks detector with pc vision the use of Python, OpenCV, and Tensor flow and Keras. Our intention is to identify whether the character on photograph/video movement is sporting a masks or no longer with the help of computer vision and deep gaining knowledge of.
Keywords: Deep Learning, Computer Vision, OpenCV, Tensorflow, Keras.
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DOI:
10.17148/IJARCCE.2021.10672
