AUTOMATED STUDENT ATTENDANCE SYSTEM THROUGH FACE-RECOGNITION USING NVIDIA JETSON AND CUDA TECHNOLOGY

The following report is to discuss about the proposed project of researching today’s modern image and facial recognition technologies that detects human faces and recognizes certain individuals and implementing it into a student attendance management platform. Face recognition is a basic trait owned...

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Main Author: Zulkifli, Ahmad Rashdan
Format: Final Year Project
Language:English
Published: Universiti Teknologi PETRONAS 2020
Subjects:
Online Access:http://utpedia.utp.edu.my/20668/1/Ahmad%20Rashdan%20bin%20Zulkifli.pdf
http://utpedia.utp.edu.my/20668/
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Institution: Universiti Teknologi Petronas
Language: English
id my-utp-utpedia.20668
record_format eprints
spelling my-utp-utpedia.206682021-09-06T09:19:06Z http://utpedia.utp.edu.my/20668/ AUTOMATED STUDENT ATTENDANCE SYSTEM THROUGH FACE-RECOGNITION USING NVIDIA JETSON AND CUDA TECHNOLOGY Zulkifli, Ahmad Rashdan QA75 Electronic computers. Computer science The following report is to discuss about the proposed project of researching today’s modern image and facial recognition technologies that detects human faces and recognizes certain individuals and implementing it into a student attendance management platform. Face recognition is a basic trait owned by humans and is realized into computer technology into many aspects of daily life such as security of accessing personal services or data and for ease of daily activities. Universiti Teknologi PETRONAS 2020-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20668/1/Ahmad%20Rashdan%20bin%20Zulkifli.pdf Zulkifli, Ahmad Rashdan (2020) AUTOMATED STUDENT ATTENDANCE SYSTEM THROUGH FACE-RECOGNITION USING NVIDIA JETSON AND CUDA TECHNOLOGY. Universiti Teknologi PETRONAS. (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 QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Zulkifli, Ahmad Rashdan
AUTOMATED STUDENT ATTENDANCE SYSTEM THROUGH FACE-RECOGNITION USING NVIDIA JETSON AND CUDA TECHNOLOGY
description The following report is to discuss about the proposed project of researching today’s modern image and facial recognition technologies that detects human faces and recognizes certain individuals and implementing it into a student attendance management platform. Face recognition is a basic trait owned by humans and is realized into computer technology into many aspects of daily life such as security of accessing personal services or data and for ease of daily activities.
format Final Year Project
author Zulkifli, Ahmad Rashdan
author_facet Zulkifli, Ahmad Rashdan
author_sort Zulkifli, Ahmad Rashdan
title AUTOMATED STUDENT ATTENDANCE SYSTEM THROUGH FACE-RECOGNITION USING NVIDIA JETSON AND CUDA TECHNOLOGY
title_short AUTOMATED STUDENT ATTENDANCE SYSTEM THROUGH FACE-RECOGNITION USING NVIDIA JETSON AND CUDA TECHNOLOGY
title_full AUTOMATED STUDENT ATTENDANCE SYSTEM THROUGH FACE-RECOGNITION USING NVIDIA JETSON AND CUDA TECHNOLOGY
title_fullStr AUTOMATED STUDENT ATTENDANCE SYSTEM THROUGH FACE-RECOGNITION USING NVIDIA JETSON AND CUDA TECHNOLOGY
title_full_unstemmed AUTOMATED STUDENT ATTENDANCE SYSTEM THROUGH FACE-RECOGNITION USING NVIDIA JETSON AND CUDA TECHNOLOGY
title_sort automated student attendance system through face-recognition using nvidia jetson and cuda technology
publisher Universiti Teknologi PETRONAS
publishDate 2020
url http://utpedia.utp.edu.my/20668/1/Ahmad%20Rashdan%20bin%20Zulkifli.pdf
http://utpedia.utp.edu.my/20668/
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