Intelligent education management system design for universities based on MTCNN face recognition algorithm
This paper first constructs an intelligent education management system for universities according to their needs and explains its logical and technical architecture. Secondly, a multi-task convolutional neural network with MTCNN is used to detect faces, and different loss functions are selected to e...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.01712 |
| _version_ | 1797340483239804928 |
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| author | Xiao Xiaohua Su Zhixian Ye Qiqi Qin Zhixia Wu Lijie |
| author_facet | Xiao Xiaohua Su Zhixian Ye Qiqi Qin Zhixia Wu Lijie |
| author_sort | Xiao Xiaohua |
| collection | DOAJ |
| description | This paper first constructs an intelligent education management system for universities according to their needs and explains its logical and technical architecture. Secondly, a multi-task convolutional neural network with MTCNN is used to detect faces, and different loss functions are selected to ensure recognition accuracy. Finally, the effectiveness of the application of intelligent education management systems in universities is verified through performance tests. The results show that the time consumed for face recognition detection using MTCNN is 524ms, and the response time of each function of the system does not exceed 500ms when the number of concurrent users is less than 500, which indicates that the intelligent education management system based on MTCNN face recognition algorithm has a good response speed and meets the requirements of intelligent education management in colleges and universities. |
| first_indexed | 2024-03-08T10:03:39Z |
| format | Article |
| id | doaj.art-630172a14c184898a6862428b9822358 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:03:39Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-630172a14c184898a6862428b98223582024-01-29T08:52:46ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01712Intelligent education management system design for universities based on MTCNN face recognition algorithmXiao Xiaohua0Su Zhixian1Ye Qiqi2Qin Zhixia3Wu Lijie41Department of Science and Technology Development, Zhejiang College of Security Technology, Wenzhou, Zhejiang, 325016, China.1Department of Science and Technology Development, Zhejiang College of Security Technology, Wenzhou, Zhejiang, 325016, China.2School of Literature and Communication, Wenzhou University of Technology, Wenzhou, Zhejiang, 325024, China.3Department of Scientific Research and Local Cooperation, Wenzhou Business College, Wenzhou, Zhejiang, 325035, China.1Department of Science and Technology Development, Zhejiang College of Security Technology, Wenzhou, Zhejiang, 325016, China.This paper first constructs an intelligent education management system for universities according to their needs and explains its logical and technical architecture. Secondly, a multi-task convolutional neural network with MTCNN is used to detect faces, and different loss functions are selected to ensure recognition accuracy. Finally, the effectiveness of the application of intelligent education management systems in universities is verified through performance tests. The results show that the time consumed for face recognition detection using MTCNN is 524ms, and the response time of each function of the system does not exceed 500ms when the number of concurrent users is less than 500, which indicates that the intelligent education management system based on MTCNN face recognition algorithm has a good response speed and meets the requirements of intelligent education management in colleges and universities.https://doi.org/10.2478/amns.2023.2.01712intelligent education managementmtcnnface recognitionconvolutional neural networkloss function97b10 |
| spellingShingle | Xiao Xiaohua Su Zhixian Ye Qiqi Qin Zhixia Wu Lijie Intelligent education management system design for universities based on MTCNN face recognition algorithm Applied Mathematics and Nonlinear Sciences intelligent education management mtcnn face recognition convolutional neural network loss function 97b10 |
| title | Intelligent education management system design for universities based on MTCNN face recognition algorithm |
| title_full | Intelligent education management system design for universities based on MTCNN face recognition algorithm |
| title_fullStr | Intelligent education management system design for universities based on MTCNN face recognition algorithm |
| title_full_unstemmed | Intelligent education management system design for universities based on MTCNN face recognition algorithm |
| title_short | Intelligent education management system design for universities based on MTCNN face recognition algorithm |
| title_sort | intelligent education management system design for universities based on mtcnn face recognition algorithm |
| topic | intelligent education management mtcnn face recognition convolutional neural network loss function 97b10 |
| url | https://doi.org/10.2478/amns.2023.2.01712 |
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