Development of automated gate using automatic license plate ecognition system

This paper presents a prototype of automated gate powered by automatic license plate recognition system. The prototype is an embedded system running a Raspbian operating system on the Raspberry Pi microcontroller. A USB camera, LCD, and a servo motor are attached to capture an image of a vehicle, to...

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Main Authors: Luai Taha Ahmed, Al-Mahbashi, Nurhafizah, Abu Talip, Syamimi, Shaharum, Mohamad Shaiful, Abdul Karim, Ahmad Afif, Mohd Faudzi
Format: Conference or Workshop Item
Language:English
English
Published: Springer Singapore 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/25041/
http://umpir.ump.edu.my/id/eprint/25041/
http://umpir.ump.edu.my/id/eprint/25041/
http://umpir.ump.edu.my/id/eprint/25041/1/56.%20Development%20of%20automated%20gate%20using%20automatic%20license%20plate%20recognition%20system.pdf
http://umpir.ump.edu.my/id/eprint/25041/2/56.1%20Development%20of%20automated%20gate%20using%20automatic%20license%20plate%20recognition%20system.pdf
id ump-25041
recordtype eprints
spelling ump-250412019-11-12T04:09:51Z http://umpir.ump.edu.my/id/eprint/25041/ Development of automated gate using automatic license plate ecognition system Luai Taha Ahmed, Al-Mahbashi Nurhafizah, Abu Talip Syamimi, Shaharum Mohamad Shaiful, Abdul Karim Ahmad Afif, Mohd Faudzi TK Electrical engineering. Electronics Nuclear engineering This paper presents a prototype of automated gate powered by automatic license plate recognition system. The prototype is an embedded system running a Raspbian operating system on the Raspberry Pi microcontroller. A USB camera, LCD, and a servo motor are attached to capture an image of a vehicle, to display information and to represent an automated gate respectively. OpenALPR library is used to perform the license plate recognition, while the complete automated gate system, which is used performing image capturing, license plate recognition, and authentication to gate operation is built using the Node-RED software. As a result, the system successfully recognizes the vehicle number plate and categorize them. All information about the vehicle are displayed on the LCD, and if the vehicle is authorized, the gate operated accordingly. The analysis results show that the system is able to achieve a recognition rate of 87.50–90.90% on images with a specified height and angle. Springer Singapore 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25041/1/56.%20Development%20of%20automated%20gate%20using%20automatic%20license%20plate%20recognition%20system.pdf pdf en http://umpir.ump.edu.my/id/eprint/25041/2/56.1%20Development%20of%20automated%20gate%20using%20automatic%20license%20plate%20recognition%20system.pdf Luai Taha Ahmed, Al-Mahbashi and Nurhafizah, Abu Talip and Syamimi, Shaharum and Mohamad Shaiful, Abdul Karim and Ahmad Afif, Mohd Faudzi (2019) Development of automated gate using automatic license plate ecognition system. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018, 27-28 September 2018 , Universiti Malaysia Pahang. pp. 459-466., 538. ISBN 978-981-13-3708-6 https://doi.org/10.1007/978-981-13-3708-6_39 DOI: https://doi.org/10.1007/978-981-13-3708-6_39
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
Luai Taha Ahmed, Al-Mahbashi
Nurhafizah, Abu Talip
Syamimi, Shaharum
Mohamad Shaiful, Abdul Karim
Ahmad Afif, Mohd Faudzi
Development of automated gate using automatic license plate ecognition system
description This paper presents a prototype of automated gate powered by automatic license plate recognition system. The prototype is an embedded system running a Raspbian operating system on the Raspberry Pi microcontroller. A USB camera, LCD, and a servo motor are attached to capture an image of a vehicle, to display information and to represent an automated gate respectively. OpenALPR library is used to perform the license plate recognition, while the complete automated gate system, which is used performing image capturing, license plate recognition, and authentication to gate operation is built using the Node-RED software. As a result, the system successfully recognizes the vehicle number plate and categorize them. All information about the vehicle are displayed on the LCD, and if the vehicle is authorized, the gate operated accordingly. The analysis results show that the system is able to achieve a recognition rate of 87.50–90.90% on images with a specified height and angle.
format Conference or Workshop Item
author Luai Taha Ahmed, Al-Mahbashi
Nurhafizah, Abu Talip
Syamimi, Shaharum
Mohamad Shaiful, Abdul Karim
Ahmad Afif, Mohd Faudzi
author_facet Luai Taha Ahmed, Al-Mahbashi
Nurhafizah, Abu Talip
Syamimi, Shaharum
Mohamad Shaiful, Abdul Karim
Ahmad Afif, Mohd Faudzi
author_sort Luai Taha Ahmed, Al-Mahbashi
title Development of automated gate using automatic license plate ecognition system
title_short Development of automated gate using automatic license plate ecognition system
title_full Development of automated gate using automatic license plate ecognition system
title_fullStr Development of automated gate using automatic license plate ecognition system
title_full_unstemmed Development of automated gate using automatic license plate ecognition system
title_sort development of automated gate using automatic license plate ecognition system
publisher Springer Singapore
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/25041/
http://umpir.ump.edu.my/id/eprint/25041/
http://umpir.ump.edu.my/id/eprint/25041/
http://umpir.ump.edu.my/id/eprint/25041/1/56.%20Development%20of%20automated%20gate%20using%20automatic%20license%20plate%20recognition%20system.pdf
http://umpir.ump.edu.my/id/eprint/25041/2/56.1%20Development%20of%20automated%20gate%20using%20automatic%20license%20plate%20recognition%20system.pdf
first_indexed 2023-09-18T22:38:14Z
last_indexed 2023-09-18T22:38:14Z
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