Automatic face recognition in real-time

With the rise of Internet of Things, the interest in face recognition increases as well. Real-time Automatic Face Recognition is a particularly attractive approach, as it focuses on the primary identifier that humans use to distinguish one person to the other. In this project, a small and compact sy...

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Bibliographic Details
Main Author:	Lim, Chun Peng
Other Authors:	Andy Khong Wai Hoong
Format:	Final Year Project
Language:	English
Published:	2019
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:	http://hdl.handle.net/10356/77494
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-774942023-07-07T17:58:33Z Automatic face recognition in real-time Lim, Chun Peng Andy Khong Wai Hoong School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence With the rise of Internet of Things, the interest in face recognition increases as well. Real-time Automatic Face Recognition is a particularly attractive approach, as it focuses on the primary identifier that humans use to distinguish one person to the other. In this project, a small and compact system is implemented using the Nvidia Jetson TX2 developer module in conjunction with the You Only Look Once v3 algorithm. The report will go over specifications of the Nvidia Jetson TX2 and integration details with the YOLOv3 algorithm. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-05-30T01:50:59Z 2019-05-30T01:50:59Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77494 en Nanyang Technological University 43 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Lim, Chun Peng Automatic face recognition in real-time
description	With the rise of Internet of Things, the interest in face recognition increases as well. Real-time Automatic Face Recognition is a particularly attractive approach, as it focuses on the primary identifier that humans use to distinguish one person to the other. In this project, a small and compact system is implemented using the Nvidia Jetson TX2 developer module in conjunction with the You Only Look Once v3 algorithm. The report will go over specifications of the Nvidia Jetson TX2 and integration details with the YOLOv3 algorithm.
author2	Andy Khong Wai Hoong
author_facet	Andy Khong Wai Hoong Lim, Chun Peng
format	Final Year Project
author	Lim, Chun Peng
author_sort	Lim, Chun Peng
title	Automatic face recognition in real-time
title_short	Automatic face recognition in real-time
title_full	Automatic face recognition in real-time
title_fullStr	Automatic face recognition in real-time
title_full_unstemmed	Automatic face recognition in real-time
title_sort	automatic face recognition in real-time
publishDate	2019
url	http://hdl.handle.net/10356/77494
_version_	1772825895685324800

Automatic face recognition in real-time

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