Students Roll Call at Vietnam Universities with Convolutional Neural Networks (Cnn)
Phan Thi Ha1, Trinh Thi Van Anh2

1Dr. Phan Thi Ha*, Lecturer, Faculty of Information Technology, Posts and Telecommunications Institute of Technology (PTIT), HaNoi, Vietnam, and Computing Fundamental Department, FPT University, Hanoi, VietNam. 
2ThS. Trinh Thi Van Anh, Lecturer, Faculty of Information Technology, Posts and Telecommunications Institute of Technology (PTIT), HaNoi, Vietnam, and Computing Fundamental Department, FPT University, Hanoi, Viet Nam. 
Manuscript received on August 16, 2021. | Revised Manuscript received on August 23, 2021. | Manuscript published on August 30, 2021. | PP: 80-83 | Volume-10, Issue-10, August 2021 | Retrieval Number: 100.1/ijitee.J944408101021 | DOI: 10.35940/ijitee.J9444.08101021
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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
Keywords: Deep Learning, Convolutional Neural Networks (CNN), ResNet, k-NN, TMCNN