Smart attendance system via facial recognition using Tensorflow Facenet model / Ahmad Muizzuddin Shahrel

Student absenteeism problems are often a major issue for every school and are often associated with low student scoring status. This can be attributed to the weakness of the current method of taking attendance which used a sheet of paper. The system is developed to improve the current attendance sys...

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Main Author:	Shahrel, Ahmad Muizzuddin
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Programming languages (Electronic computers) Pattern recognition systems
Online Access:	https://ir.uitm.edu.my/id/eprint/35667/1/35667.pdf
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id	my-uitm-ir.35667
record_format	uketd_dc
spelling	my-uitm-ir.356672020-11-27T04:04:32Z Smart attendance system via facial recognition using Tensorflow Facenet model / Ahmad Muizzuddin Shahrel 2020 Shahrel, Ahmad Muizzuddin Programming languages (Electronic computers) C (Computer program language). C++ Detectors. Sensors. Sensor networks Pattern recognition systems Student absenteeism problems are often a major issue for every school and are often associated with low student scoring status. This can be attributed to the weakness of the current method of taking attendance which used a sheet of paper. The system is developed to improve the current attendance system where several problems appear during the school attendance taken. For example, the student deceived their attendance, time consuming for waiting to sign the attendance and the lack of ability to track the absence of many students. This system can give better support and help the teacher’s work on the attendance. Popularity of biometric recognition where human unique physical body as a measurement access control for identification and authorization has led to the development of Smart Attendance System using facial recognition. An identification system is used to digitally verify a person by comparing each known face and information corresponding to the database. The Tensorflow Facenet model is the technique used for the recognition where it's called as one shot model where directly learning and mapping the face images into Euclidean space where distances are used to calculate the similarity of faces. With the facial recognition feature, this system can easily manage and automate taking attendance and safely record it in the database. 2020 Thesis https://ir.uitm.edu.my/id/eprint/35667/ https://ir.uitm.edu.my/id/eprint/35667/1/35667.pdf text en public degree Universiti Teknologi MARA, Cawangan Melaka Faculty of Computer and Mathematical Sciences Ahmad Fadzil, Ahmad Firdaus
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ahmad Fadzil, Ahmad Firdaus
topic	Programming languages (Electronic computers) Programming languages (Electronic computers) Programming languages (Electronic computers) Pattern recognition systems
spellingShingle	Programming languages (Electronic computers) Programming languages (Electronic computers) Programming languages (Electronic computers) Pattern recognition systems Shahrel, Ahmad Muizzuddin Smart attendance system via facial recognition using Tensorflow Facenet model / Ahmad Muizzuddin Shahrel
description	Student absenteeism problems are often a major issue for every school and are often associated with low student scoring status. This can be attributed to the weakness of the current method of taking attendance which used a sheet of paper. The system is developed to improve the current attendance system where several problems appear during the school attendance taken. For example, the student deceived their attendance, time consuming for waiting to sign the attendance and the lack of ability to track the absence of many students. This system can give better support and help the teacher’s work on the attendance. Popularity of biometric recognition where human unique physical body as a measurement access control for identification and authorization has led to the development of Smart Attendance System using facial recognition. An identification system is used to digitally verify a person by comparing each known face and information corresponding to the database. The Tensorflow Facenet model is the technique used for the recognition where it's called as one shot model where directly learning and mapping the face images into Euclidean space where distances are used to calculate the similarity of faces. With the facial recognition feature, this system can easily manage and automate taking attendance and safely record it in the database.
format	Thesis
qualification_level	Bachelor degree
author	Shahrel, Ahmad Muizzuddin
author_facet	Shahrel, Ahmad Muizzuddin
author_sort	Shahrel, Ahmad Muizzuddin
title	Smart attendance system via facial recognition using Tensorflow Facenet model / Ahmad Muizzuddin Shahrel
title_short	Smart attendance system via facial recognition using Tensorflow Facenet model / Ahmad Muizzuddin Shahrel
title_full	Smart attendance system via facial recognition using Tensorflow Facenet model / Ahmad Muizzuddin Shahrel
title_fullStr	Smart attendance system via facial recognition using Tensorflow Facenet model / Ahmad Muizzuddin Shahrel
title_full_unstemmed	Smart attendance system via facial recognition using Tensorflow Facenet model / Ahmad Muizzuddin Shahrel
title_sort	smart attendance system via facial recognition using tensorflow facenet model / ahmad muizzuddin shahrel
granting_institution	Universiti Teknologi MARA, Cawangan Melaka
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/35667/1/35667.pdf
_version_	1783734310046531584

Smart attendance system via facial recognition using Tensorflow Facenet model / Ahmad Muizzuddin Shahrel

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