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- W4386963399 abstract "Pre-schoolers were unable to adhere to the COVID-19 Protocols required to prevent the spread of the deadly coronavirus-caused disease. In public places like schools, a COVID management system can help enforce rules like wearing masks and keeping the appropriate distance between students. In the proposed system, machine learning algorithms and the Euclidean distance algorithm are used to recognize masks and figure out how far apart two faces are. The system is trained with the Convolutional Neural Network (CNN) algorithm, which is implemented with Python and TensorFlow library using a Raspberry Pi and camera." @default.
- W4386963399 created "2023-09-23" @default.
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- W4386963399 date "2023-01-01" @default.
- W4386963399 modified "2023-10-18" @default.
- W4386963399 title "An Intelligent COVID Management System for Pre-schools" @default.
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- W4386963399 doi "https://doi.org/10.1007/978-981-99-5085-0_25" @default.
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