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Real-Time Face Mask Detection Using Machine Learning

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dc.contributor.author Hasib, Mahedi Hassan
dc.contributor.author Afrin, Jasia
dc.contributor.author Rahman, Ashikur
dc.date.accessioned 2022-11-10T03:58:03Z
dc.date.available 2022-11-10T03:58:03Z
dc.date.issued 2022-01-04
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8890
dc.description.abstract “Real-Time Face Mask Detection Using Machine Learning”, is a Machine Learning-based project in real-time. Covid 19 has a huge impact on our modern daily life. We have been suffering from the Covid pandemic since late 2019. Our regular life became much tougher than ever. We have a Wearing mask, one of the major rules we have to maintain in this pandemic situation. We have created a machine learning project that will detect immediately if a person wearing a mask or not. The project can be a crying need for this pandemic situation. The project has been built with python with the help of library functions like TensorFlow, OpenCV, Keras, and many more. This system recognition works very fast to detect masks with the value of percentages in the OpenCV camera view. After running the project, the webcam will automatically open itself and start detecting a face with a mask or not a mask in it. This project can be used in any government office, bank, hospital, educational institution, Closed Circuit Camera, and corporate offices as well. This system is very fast to recognize masks in a fast way of time. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Facial expression en_US
dc.title Real-Time Face Mask Detection Using Machine Learning en_US
dc.type Other en_US


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