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Vision-based parking entry control system

Vision-based control systems are very promising in the Intelligent Transportation System (ITS). This paper proposes a system that use the vision system to control vehicle entry at the bridge gate at a certain facility. The system detects the presence of the car and captures the front car image to pr...

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Main Authors: Saharudin, Shahrulnafiin, Wahap, Ahmad Ridhwan
Format: Article
Published: Penerbit UTM Press 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/82108/
http://dx.doi.org/10.11113/elektrika.v17n2.98
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id my.utm.82108
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spelling my.utm.821082019-10-26T05:31:09Z http://eprints.utm.my/id/eprint/82108/ Vision-based parking entry control system Saharudin, Shahrulnafiin Wahap, Ahmad Ridhwan TK Electrical engineering. Electronics Nuclear engineering Vision-based control systems are very promising in the Intelligent Transportation System (ITS). This paper proposes a system that use the vision system to control vehicle entry at the bridge gate at a certain facility. The system detects the presence of the car and captures the front car image to proceed to plate recognition process. Vehicle plate region is extracted using the size filtering, image thresholding and object counting algorithms. Optical character recognition technique is used in the recognition module. The result from the recognition module is then compared to the record in the database for information like the vehicle owner name, type of car, etc. The overall system is implemented and simulated in LabVIEW and the performance of recognition is tested on the real image. The system can successfully detect and recognize the plate number with minimum error. Penerbit UTM Press 2018 Article PeerReviewed Saharudin, Shahrulnafiin and Wahap, Ahmad Ridhwan (2018) Vision-based parking entry control system. ELEKTRIKA (Journal Of Electrical Engineering), 17 (2). pp. 30-34. ISSN 0128-4428 http://dx.doi.org/10.11113/elektrika.v17n2.98 DOI:10.11113/elektrika.v17n2.98
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Saharudin, Shahrulnafiin
Wahap, Ahmad Ridhwan
Vision-based parking entry control system
description Vision-based control systems are very promising in the Intelligent Transportation System (ITS). This paper proposes a system that use the vision system to control vehicle entry at the bridge gate at a certain facility. The system detects the presence of the car and captures the front car image to proceed to plate recognition process. Vehicle plate region is extracted using the size filtering, image thresholding and object counting algorithms. Optical character recognition technique is used in the recognition module. The result from the recognition module is then compared to the record in the database for information like the vehicle owner name, type of car, etc. The overall system is implemented and simulated in LabVIEW and the performance of recognition is tested on the real image. The system can successfully detect and recognize the plate number with minimum error.
format Article
author Saharudin, Shahrulnafiin
Wahap, Ahmad Ridhwan
author_facet Saharudin, Shahrulnafiin
Wahap, Ahmad Ridhwan
author_sort Saharudin, Shahrulnafiin
title Vision-based parking entry control system
title_short Vision-based parking entry control system
title_full Vision-based parking entry control system
title_fullStr Vision-based parking entry control system
title_full_unstemmed Vision-based parking entry control system
title_sort vision-based parking entry control system
publisher Penerbit UTM Press
publishDate 2018
url http://eprints.utm.my/id/eprint/82108/
http://dx.doi.org/10.11113/elektrika.v17n2.98
_version_ 1651866608104112128
score 13.211869

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