TAKING STUDENT ATTENDANCE USING FACIAL RECOGNITION
Face Recognition Student Attendance allows for the real-time monitoring of students’ everyday attendance. high definition face biometrics are used to monitor student attendance. one such application is face recognition, a subset of machine learning that makes use of deep learning methods. The presen...
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| Format: | Final Year Project |
| Language: | English |
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2022
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| Online Access: | http://utpedia.utp.edu.my/id/eprint/24594/1/TAKING%20STUDENT%20ATTENDANCE%20USING%20FACIAL%20RECOGNITION.pdf http://utpedia.utp.edu.my/id/eprint/24594/ |
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oai:utpedia.utp.edu.my:245942023-06-16T02:18:48Z http://utpedia.utp.edu.my/id/eprint/24594/ TAKING STUDENT ATTENDANCE USING FACIAL RECOGNITION SHAMSUL HISHAM, ALIF AIMAN T Technology (General) Face Recognition Student Attendance allows for the real-time monitoring of students’ everyday attendance. high definition face biometrics are used to monitor student attendance. one such application is face recognition, a subset of machine learning that makes use of deep learning methods. The present systems for tracking attendance take a long time. Records of attendance that are manually recorded are prone to error. Accuracy and real-time can be the main features that differentiate the existing project with this project. This project’s major concern and goal is to address these aspects. 2022-09 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24594/1/TAKING%20STUDENT%20ATTENDANCE%20USING%20FACIAL%20RECOGNITION.pdf SHAMSUL HISHAM, ALIF AIMAN (2022) TAKING STUDENT ATTENDANCE USING FACIAL RECOGNITION. [Final Year Project] (Submitted) |
| institution |
Universiti Teknologi Petronas |
| building |
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| collection |
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| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
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http://utpedia.utp.edu.my/ |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) SHAMSUL HISHAM, ALIF AIMAN TAKING STUDENT ATTENDANCE USING FACIAL RECOGNITION |
| description |
Face Recognition Student Attendance allows for the real-time monitoring of students’ everyday attendance. high definition face biometrics are used to monitor student attendance. one such application is face recognition, a subset of machine learning that makes use of deep learning methods. The present systems for tracking attendance take a long time. Records of attendance that are manually recorded are prone to error. Accuracy and real-time can be the main features that differentiate the existing project with this project. This project’s major concern and goal is to address these aspects. |
| format |
Final Year Project |
| author |
SHAMSUL HISHAM, ALIF AIMAN |
| author_facet |
SHAMSUL HISHAM, ALIF AIMAN |
| author_sort |
SHAMSUL HISHAM, ALIF AIMAN |
| title |
TAKING STUDENT ATTENDANCE USING FACIAL RECOGNITION |
| title_short |
TAKING STUDENT ATTENDANCE USING FACIAL RECOGNITION |
| title_full |
TAKING STUDENT ATTENDANCE USING FACIAL RECOGNITION |
| title_fullStr |
TAKING STUDENT ATTENDANCE USING FACIAL RECOGNITION |
| title_full_unstemmed |
TAKING STUDENT ATTENDANCE USING FACIAL RECOGNITION |
| title_sort |
taking student attendance using facial recognition |
| publishDate |
2022 |
| url |
http://utpedia.utp.edu.my/id/eprint/24594/1/TAKING%20STUDENT%20ATTENDANCE%20USING%20FACIAL%20RECOGNITION.pdf http://utpedia.utp.edu.my/id/eprint/24594/ |
| _version_ |
1769845319117307904 |
| score |
13.160551 |