International Journal of Advanced Science and Computer Applications
Vol. 3 No. 2 (2024): September 2024

A Comparative Study of Embedded Learning Models IoT-Based For Real time Mask Detection

Mohamed Amine Meddaoui (Béni Mellal)
Mohammed Erritali (Béni Mellal)
françoise Sailhan (Béni Mellal)



Article Info

Publish Date
26 Dec 2023

Abstract

Following the outbreak of the coronavirus, many preventive measures are implemented to slow down the transmission of the virus. Amongst others, face mask detection is a key innovative technology that allows the identification of the number of individuals wearing face masks. In this regard, this paper provides a comparative study of several machine learning and deep learning algorithms (e.g., SVM, RNN, Mask-RCNN, LSTM, CNN, Auto-Encoder, GAN, U-Net GAN) that support mask detection

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