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Face Recognition Attendance System for Organizations with Massive No. of Workers

This project’s aim was to make use of face recognition technology to take the attendance of employees of companies with massive number of workers. It helps reduced time taken for each person’s in taking attendance. When less time was taken, crowds in the attendance area can be reduced, thus creating...

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Main Author: Azmi Raif, Mohammad Danial
Format: Final Year Project
Language:English
Published: 2022
Subjects:
T Technology (General)
Online Access:http://utpedia.utp.edu.my/id/eprint/24537/1/Face%20Recognition%20Attendance%20System%20for%20Organizations%20with%20Massive%20No.%20of%20Works.pdf
http://utpedia.utp.edu.my/id/eprint/24537/
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spelling oai:utpedia.utp.edu.my:245372023-05-18T08:19:50Z http://utpedia.utp.edu.my/id/eprint/24537/ Face Recognition Attendance System for Organizations with Massive No. of Workers Azmi Raif, Mohammad Danial T Technology (General) This project’s aim was to make use of face recognition technology to take the attendance of employees of companies with massive number of workers. It helps reduced time taken for each person’s in taking attendance. When less time was taken, crowds in the attendance area can be reduced, thus creating a more efficient environment for the employees by only need to show their face to the device. This eases the process every time taking the attendance. 2022-09 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24537/1/Face%20Recognition%20Attendance%20System%20for%20Organizations%20with%20Massive%20No.%20of%20Works.pdf Azmi Raif, Mohammad Danial (2022) Face Recognition Attendance System for Organizations with Massive No. of Workers. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Azmi Raif, Mohammad Danial
Face Recognition Attendance System for Organizations with Massive No. of Workers
description This project’s aim was to make use of face recognition technology to take the attendance of employees of companies with massive number of workers. It helps reduced time taken for each person’s in taking attendance. When less time was taken, crowds in the attendance area can be reduced, thus creating a more efficient environment for the employees by only need to show their face to the device. This eases the process every time taking the attendance.
format Final Year Project
author Azmi Raif, Mohammad Danial
author_facet Azmi Raif, Mohammad Danial
author_sort Azmi Raif, Mohammad Danial
title Face Recognition Attendance System for Organizations with Massive No. of Workers
title_short Face Recognition Attendance System for Organizations with Massive No. of Workers
title_full Face Recognition Attendance System for Organizations with Massive No. of Workers
title_fullStr Face Recognition Attendance System for Organizations with Massive No. of Workers
title_full_unstemmed Face Recognition Attendance System for Organizations with Massive No. of Workers
title_sort face recognition attendance system for organizations with massive no. of workers
publishDate 2022
url http://utpedia.utp.edu.my/id/eprint/24537/1/Face%20Recognition%20Attendance%20System%20for%20Organizations%20with%20Massive%20No.%20of%20Works.pdf
http://utpedia.utp.edu.my/id/eprint/24537/
_version_ 1768010138209222656
score 13.223943

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