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Date Published: 31/03/2024
Abstract Views: 53
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DOI: https://doi.org/10.59907/daujs.3.1.2024.298
Issue
Vol. 3 No. 1 (2024)
Section
SCIENCE AND TECHNOLOGY AND TECHNOLOGY
How to Cite
Nguyễn, T. T., & Ngô, T. A. T. (2024). Research on Applied Deep Learning Approaches in Managing Learners at Dong A University. Dong A University Journal of Science, 3(1). https://doi.org/10.59907/daujs.3.1.2024.298

Research on Applied Deep Learning Approaches in Managing Learners at Dong A University

Nguyễn Trọng Tùng, Ngô Thế Anh Tuấn

Main Article Content

Abstract

Technology application in classroom management has been implemented by many Universities in different ways and levels. Today, the development of deep learning algorithms in object and face recognition has promoted applications in many fields such as street surveillance through Camera systems, and applications in process monitoring factories. implementation, self-driving cars, etc. Applying deep learning in classroom management and supervision such as the rate of students attending class, the level of student concentration in listening to lectures, and understanding lessons through deep learning results and computational model statistical probability math. In this article, we propose a classroom monitoring solution using artificial intelligence combined with student attendance using facial recognition. Experiments on self-collected facial data sets and tracking tables at an university show that the combination of the model and proposed techniques has given positive results with a recognition rate of over 95 % even in low light, tilted or partially obscured conditions.

Article Details

Keywords

deep learning, face recognition, object detection, computer vision, automatic recognition

References

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