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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| Format: | Article |
| Language: | English English |
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Institute of Advanced Engineering and Science
2018
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1796992577726054400 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:22:03Z |
| format | Article |
| id | UMPir20480 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:22:03Z |
| publishDate | 2018 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | UMPir204802018-05-22T05:38:45Z 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. (Published) http://doi.org/10.11591/ijeecs.v10.i3.pp1221-1226 10.11591/ijeecs.v10.i3.pp1221-1226 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Norasyikin, Fadilah See, Yoon Soon Nor Hadzfizah, Mohd Radi Embedded automated vision for double parking identification system |
| title | 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_short | Embedded automated vision for double parking identification system |
| title_sort | embedded automated vision for double parking identification system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | 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 |
| work_keys_str_mv | AT norasyikinfadilah embeddedautomatedvisionfordoubleparkingidentificationsystem AT seeyoonsoon embeddedautomatedvisionfordoubleparkingidentificationsystem AT norhadzfizahmohdradi embeddedautomatedvisionfordoubleparkingidentificationsystem |