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• W4380881960 abstract "When the COVID-19 pandemic was present we all have faced various challenges in our everyday lives. Pandemic created worldwide emergency which led to the lockdown in most of the countries resulting into disruption in world trade and movement. To reduce the covid cases WHO recommended to wear mask and maintain social distancing and then these steps became mandatory for some places, such as restaurants, hospitals, grocery stores etc., The purpose of limiting interaction with individuals as much as possible in such situations is simply defeated by having a staff personally check each person to make sure their mask is on. To avoid this dilemma, it became necessary to build a project named ‘Real-time face mask detector’, This reveals whether a mask-wearing individual is there. This project needed the use of some python libraries like TensorFlow, Keras, OpenCV. Using this project, we will be able to Detect mask-on faces in live video clip with accuracy of 97-98 %." @default.
• W4380881960 created "2023-06-17" @default.
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• W4380881960 date "2023-02-10" @default.
• W4380881960 modified "2023-10-16" @default.
• W4380881960 title "Real-Time Face Mask Detector" @default.
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• W4380881960 doi "https://doi.org/10.1109/temsmet56707.2023.10150182" @default.
• W4380881960 hasPublicationYear "2023" @default.
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