Embedded automated vision for double parking identification system

The aim of this work is to assist the city administration issue which involve the traffic flow disruption in an urban area. One of the causes of traffic flow disruption is double parking; thus, in this work, an automated double parking identification and alert system was developed using embedded vis...

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Main Authors:	Norasyikin, Fadilah, See, Yoon Soon, Nor Hadzfizah, Mohd Radi
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/20480/ http://umpir.ump.edu.my/id/eprint/20480/ http://umpir.ump.edu.my/id/eprint/20480/ http://umpir.ump.edu.my/id/eprint/20480/1/Embedded%20Automated%20Vision%20for%20Double%20Parking%20Identification%20System.pdf http://umpir.ump.edu.my/id/eprint/20480/2/Embedded%20Automated%20Vision%20for%20Double%20Parking%20Identification%20System%201.pdf

id	ump-20480
recordtype	eprints
spelling	ump-204802018-05-22T05:38:45Z http://umpir.ump.edu.my/id/eprint/20480/ Embedded automated vision for double parking identification system Norasyikin, Fadilah See, Yoon Soon Nor Hadzfizah, Mohd Radi TK Electrical engineering. Electronics Nuclear engineering The aim of this work is to assist the city administration issue which involve the traffic flow disruption in an urban area. One of the causes of traffic flow disruption is double parking; thus, in this work, an automated double parking identification and alert system was developed using embedded vision system and internet of things. A camera was utilized to acquire the image of a parking area, and the image was processed using Beaglebone Black processor. A computer vision algorithm was developed to process the image using background subtraction, region of interest identification, and color analysis. When a double parked vehicle is detected, the data was sent into the cloud automatically to alert the city administrator for further action. The developed system achieved 91% accuracy in detecting the traffic violation of double parking. © 2018 Institute of Advanced Engineering and Science. All rights reserved. Institute of Advanced Engineering and Science 2018-06 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/20480/1/Embedded%20Automated%20Vision%20for%20Double%20Parking%20Identification%20System.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/20480/2/Embedded%20Automated%20Vision%20for%20Double%20Parking%20Identification%20System%201.pdf Norasyikin, Fadilah and See, Yoon Soon and Nor Hadzfizah, Mohd Radi (2018) Embedded automated vision for double parking identification system. Indonesian Journal of Electrical Engineering and Computer Science, 10 (3). pp. 1221-1226. ISSN 25024752 http://doi.org/10.11591/ijeecs.v10.i3.pp1221-1226 10.11591/ijeecs.v10.i3.pp1221-1226
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Norasyikin, Fadilah See, Yoon Soon Nor Hadzfizah, Mohd Radi Embedded automated vision for double parking identification system
description	The aim of this work is to assist the city administration issue which involve the traffic flow disruption in an urban area. One of the causes of traffic flow disruption is double parking; thus, in this work, an automated double parking identification and alert system was developed using embedded vision system and internet of things. A camera was utilized to acquire the image of a parking area, and the image was processed using Beaglebone Black processor. A computer vision algorithm was developed to process the image using background subtraction, region of interest identification, and color analysis. When a double parked vehicle is detected, the data was sent into the cloud automatically to alert the city administrator for further action. The developed system achieved 91% accuracy in detecting the traffic violation of double parking. © 2018 Institute of Advanced Engineering and Science. All rights reserved.
format	Article
author	Norasyikin, Fadilah See, Yoon Soon Nor Hadzfizah, Mohd Radi
author_facet	Norasyikin, Fadilah See, Yoon Soon Nor Hadzfizah, Mohd Radi
author_sort	Norasyikin, Fadilah
title	Embedded automated vision for double parking identification system
title_short	Embedded automated vision for double parking identification system
title_full	Embedded automated vision for double parking identification system
title_fullStr	Embedded automated vision for double parking identification system
title_full_unstemmed	Embedded automated vision for double parking identification system
title_sort	embedded automated vision for double parking identification system
publisher	Institute of Advanced Engineering and Science
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/20480/ http://umpir.ump.edu.my/id/eprint/20480/ http://umpir.ump.edu.my/id/eprint/20480/ http://umpir.ump.edu.my/id/eprint/20480/1/Embedded%20Automated%20Vision%20for%20Double%20Parking%20Identification%20System.pdf http://umpir.ump.edu.my/id/eprint/20480/2/Embedded%20Automated%20Vision%20for%20Double%20Parking%20Identification%20System%201.pdf
first_indexed	2023-09-18T22:29:33Z
last_indexed	2023-09-18T22:29:33Z
_version_	1777416193582301184

Embedded automated vision for double parking identification system

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