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Students Roll Call at Vietnam Universities with Convolutional Neural Networks (Cnn)
Author(s) -
Phan Thi Ha,
ThS. Trinh Thi Van Anh
Publication year - 2021
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9444.08101021
Subject(s) - convolutional neural network , preprocessor , computer science , face (sociological concept) , facial recognition system , data pre processing , artificial intelligence , training (meteorology) , machine learning , deep learning , speech recognition , mathematics education , pattern recognition (psychology) , psychology , social science , sociology , physics , meteorology
In this article, we introduce the construction and training of a CNN model for student face recognition for automatic roll call. Collection of training and testing data, data preprocessing, model training and result evaluation are demonstrated and explained in detail. The model has been tested on the faces of students in a university in Vietnam and yields positive result, which can be applied in practice for automatic roll call. At the same time, the authors have built a learning management system for classes at a university in Vietnam, including automatic roll call.

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