Embedded automated vision for double parking identification system

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. (Published)

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DOI/Official URL: http://doi.org/10.11591/ijeecs.v10.i3.pp1221-1226

Abstract

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.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Smart city; Computer vision; Beaglebone; Embedded system application
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	22 May 2018 05:38
Last Modified:	22 May 2018 05:38
URI:	http://umpir.ump.edu.my/id/eprint/20480
Download Statistic:	View Download Statistics

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