Retracted: Face Recognition Attendance System Based on Real-Time Video Processing
With the advent of the era of big data in the world and the commercial value of face recognition technology, the prospects for face recognition technology are very bright and have great market demand. This article aims to design a face recognition attendance system based on real-time video processin...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Online Access: | https://ieeexplore.ieee.org/document/9138372/ |
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| _version_ | 1841557046600663040 |
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| author | Hao Yang Xiaofeng Han |
| author_facet | Hao Yang Xiaofeng Han |
| author_sort | Hao Yang |
| collection | DOAJ |
| description | With the advent of the era of big data in the world and the commercial value of face recognition technology, the prospects for face recognition technology are very bright and have great market demand. This article aims to design a face recognition attendance system based on real-time video processing. This article mainly sets four directions to consider the problems: the accuracy rate of the face recognition system in the actual check-in, the stability of the face recognition attendance system with real-time video processing, the truancy rate of the face recognition attendance system with real-time video processing and the interface settings of the face recognition attendance system using real-time video processing. By analyzing the situation of these problems, the concept of attendance system based on face recognition technology is proposed, and the research on face recognition attendance system based on real-time video processing is carried out. Experimental data shows that the accuracy rate of the video face recognition system is up to 82%. Compared with the traditional check-in method, the face recognition attendance system can be reduced by about 60%. The rate of skipping classes has greatly reduced the phenomenon of students leaving early and skipping classes. The face recognition time and attendance system with real-time video processing through the above experimental certification can quickly complete the tasks of students in the time and attendance check-in system, get rid of the complex naming phenomenon, greatly improve the efficiency of class, and play an important role in guiding the development of the time and attendance system. |
| format | Article |
| id | doaj-art-cceccf0bdd8648eca9b50ba24b7f7d16 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-cceccf0bdd8648eca9b50ba24b7f7d162025-01-07T00:00:58ZengIEEEIEEE Access2169-35362020-01-01815914315915010.1109/ACCESS.2020.30072059138372Retracted: Face Recognition Attendance System Based on Real-Time Video ProcessingHao Yang0Xiaofeng Han1https://orcid.org/0000-0002-1090-7728College of Media Engineering, Communication University of Zhejiang, Hangzhou, ChinaCollege of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, ChinaWith the advent of the era of big data in the world and the commercial value of face recognition technology, the prospects for face recognition technology are very bright and have great market demand. This article aims to design a face recognition attendance system based on real-time video processing. This article mainly sets four directions to consider the problems: the accuracy rate of the face recognition system in the actual check-in, the stability of the face recognition attendance system with real-time video processing, the truancy rate of the face recognition attendance system with real-time video processing and the interface settings of the face recognition attendance system using real-time video processing. By analyzing the situation of these problems, the concept of attendance system based on face recognition technology is proposed, and the research on face recognition attendance system based on real-time video processing is carried out. Experimental data shows that the accuracy rate of the video face recognition system is up to 82%. Compared with the traditional check-in method, the face recognition attendance system can be reduced by about 60%. The rate of skipping classes has greatly reduced the phenomenon of students leaving early and skipping classes. The face recognition time and attendance system with real-time video processing through the above experimental certification can quickly complete the tasks of students in the time and attendance check-in system, get rid of the complex naming phenomenon, greatly improve the efficiency of class, and play an important role in guiding the development of the time and attendance system.https://ieeexplore.ieee.org/document/9138372/ |
| spellingShingle | Hao Yang Xiaofeng Han Retracted: Face Recognition Attendance System Based on Real-Time Video Processing IEEE Access |
| title | Retracted: Face Recognition Attendance System Based on Real-Time Video Processing |
| title_full | Retracted: Face Recognition Attendance System Based on Real-Time Video Processing |
| title_fullStr | Retracted: Face Recognition Attendance System Based on Real-Time Video Processing |
| title_full_unstemmed | Retracted: Face Recognition Attendance System Based on Real-Time Video Processing |
| title_short | Retracted: Face Recognition Attendance System Based on Real-Time Video Processing |
| title_sort | retracted face recognition attendance system based on real time video processing |
| url | https://ieeexplore.ieee.org/document/9138372/ |
| work_keys_str_mv | AT haoyang retractedfacerecognitionattendancesystembasedonrealtimevideoprocessing AT xiaofenghan retractedfacerecognitionattendancesystembasedonrealtimevideoprocessing |