Enhanced Attendance Management of Face Recognition Using Machine Learning
Conventional attendance tracking has been very timeconsuming, error-prone, and often requires a certain amount of human input and verification. Automating such solutions by using face recognition technology has thus become a viable way to deal with these problems. Our approach does not require pre-r...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/05/itmconf_iccp-ci2024_01012.pdf |
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| author | Ravipati Sowmya. Modem Lasya. Yellinedi Sahith. Namburi Tejeswara Rao. Sk Sajida Sultana. |
| author_facet | Ravipati Sowmya. Modem Lasya. Yellinedi Sahith. Namburi Tejeswara Rao. Sk Sajida Sultana. |
| author_sort | Ravipati Sowmya. |
| collection | DOAJ |
| description | Conventional attendance tracking has been very timeconsuming, error-prone, and often requires a certain amount of human input and verification. Automating such solutions by using face recognition technology has thus become a viable way to deal with these problems. Our approach does not require pre-registered datasets since it automatically captures and identifies faces from a live camera stream using machine learning to automate attendance. In the alternative, real-time training takes place on location with on-location photos, thereby allowing the system to adapt to specific conditions including lighting variations, subtle facial planes, and even expressions. This results in excellent accuracy and consistency for use in all kinds of scenarios, such as offices, learning institutions, or events. |
| format | Article |
| id | doaj-art-5f77bb9b39e44cb3929a9f863a95a388 |
| institution | DOAJ |
| issn | 2271-2097 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-5f77bb9b39e44cb3929a9f863a95a3882025-08-20T03:16:28ZengEDP SciencesITM Web of Conferences2271-20972025-01-01740101210.1051/itmconf/20257401012itmconf_iccp-ci2024_01012Enhanced Attendance Management of Face Recognition Using Machine LearningRavipati Sowmya.0Modem Lasya.1Yellinedi Sahith.2Namburi Tejeswara Rao.3Sk Sajida Sultana.4Department of CSE, Vignan’s Foundation for Science, Technology and Research VadlamudiDepartment of CSE, Vignan’s Foundation for Science, Technology and Research VadlamudiDepartment of CSE, Vignan’s Foundation for Science, Technology and Research VadlamudiDepartment of CSE, Vignan’s Foundation for Science, Technology and Research VadlamudiDepartment of Computer Science and Engineering, Vignan’s Foundation for Science, Technology and ResearchConventional attendance tracking has been very timeconsuming, error-prone, and often requires a certain amount of human input and verification. Automating such solutions by using face recognition technology has thus become a viable way to deal with these problems. Our approach does not require pre-registered datasets since it automatically captures and identifies faces from a live camera stream using machine learning to automate attendance. In the alternative, real-time training takes place on location with on-location photos, thereby allowing the system to adapt to specific conditions including lighting variations, subtle facial planes, and even expressions. This results in excellent accuracy and consistency for use in all kinds of scenarios, such as offices, learning institutions, or events.https://www.itm-conferences.org/articles/itmconf/pdf/2025/05/itmconf_iccp-ci2024_01012.pdf |
| spellingShingle | Ravipati Sowmya. Modem Lasya. Yellinedi Sahith. Namburi Tejeswara Rao. Sk Sajida Sultana. Enhanced Attendance Management of Face Recognition Using Machine Learning ITM Web of Conferences |
| title | Enhanced Attendance Management of Face Recognition Using Machine Learning |
| title_full | Enhanced Attendance Management of Face Recognition Using Machine Learning |
| title_fullStr | Enhanced Attendance Management of Face Recognition Using Machine Learning |
| title_full_unstemmed | Enhanced Attendance Management of Face Recognition Using Machine Learning |
| title_short | Enhanced Attendance Management of Face Recognition Using Machine Learning |
| title_sort | enhanced attendance management of face recognition using machine learning |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2025/05/itmconf_iccp-ci2024_01012.pdf |
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