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 |
| Published: |
2022
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| Subjects: | |
| 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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| Summary: | 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. |
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