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Automated quality inspection on tile border detection using vision system

Most of the ceramic tile industry still doing the quality control by manually. The accuracy of the manual inspection by human is lower due to the harsh industrial environment with noise, extreme temperature and humidity. A camera should replace the human eyes to recognise the defect tile effectively...

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Main Authors: Mohd Shah, Hairol Nizam, Yap, Sher Kee, Kamis, Zalina, Baharon, Mohd Rizuan, Ab Rashid, Mohd Zamzuri
Format: Article
Language:English
Published: Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) 2019
Online Access:http://eprints.utem.edu.my/id/eprint/24281/2/IJRTE-AUTOMATED%20QUALITY.PDF
http://eprints.utem.edu.my/id/eprint/24281/
https://www.ijrte.org/wp-content/uploads/papers/v8i3/C3983098319.pdf
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spelling my.utem.eprints.242812023-07-05T10:58:11Z http://eprints.utem.edu.my/id/eprint/24281/ Automated quality inspection on tile border detection using vision system Mohd Shah, Hairol Nizam Yap, Sher Kee Kamis, Zalina Baharon, Mohd Rizuan Ab Rashid, Mohd Zamzuri Most of the ceramic tile industry still doing the quality control by manually. The accuracy of the manual inspection by human is lower due to the harsh industrial environment with noise, extreme temperature and humidity. A camera should replace the human eyes to recognise the defect tile effectively. Thus, a suitable method have to investigate for implementing this function. This project aim to design and develop an automated quality inspection in ceramic tile industry using vision system. The performance of the system is analysed. An Imaging Source CMOS industrial camera is use to capture the tile border. Image processing with edge detection technique is use to analyse the captured image of tile border and identify the defective tiles. The image filtering and intensity of the light are adjust to evaluate the performance of the system. The overall automation process involves image capturing, image processing, and decision making. The defect detection algorithms are develop to differentiate the defective tile based on the edge detection technique. The system using background subtraction method has achieved 50% accuracy in identify the status of tile since it consist of many limitation. By evaluate the gradient variation on the tile border edge, the accuracy of the defect detection has achieved 80% in identify the tile condition Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) 2019-09 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24281/2/IJRTE-AUTOMATED%20QUALITY.PDF Mohd Shah, Hairol Nizam and Yap, Sher Kee and Kamis, Zalina and Baharon, Mohd Rizuan and Ab Rashid, Mohd Zamzuri (2019) Automated quality inspection on tile border detection using vision system. International Journal Of Recent Technology And Engineering (IJRTE), 8 (3). pp. 3737-3745. ISSN 2277-3878 https://www.ijrte.org/wp-content/uploads/papers/v8i3/C3983098319.pdf 10.35940/ijrte.C3983.098319
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Most of the ceramic tile industry still doing the quality control by manually. The accuracy of the manual inspection by human is lower due to the harsh industrial environment with noise, extreme temperature and humidity. A camera should replace the human eyes to recognise the defect tile effectively. Thus, a suitable method have to investigate for implementing this function. This project aim to design and develop an automated quality inspection in ceramic tile industry using vision system. The performance of the system is analysed. An Imaging Source CMOS industrial camera is use to capture the tile border. Image processing with edge detection technique is use to analyse the captured image of tile border and identify the defective tiles. The image filtering and intensity of the light are adjust to evaluate the performance of the system. The overall automation process involves image capturing, image processing, and decision making. The defect detection algorithms are develop to differentiate the defective tile based on the edge detection technique. The system using background subtraction method has achieved 50% accuracy in identify the status of tile since it consist of many limitation. By evaluate the gradient variation on the tile border edge, the accuracy of the defect detection has achieved 80% in identify the tile condition
format Article
author Mohd Shah, Hairol Nizam
Yap, Sher Kee
Kamis, Zalina
Baharon, Mohd Rizuan
Ab Rashid, Mohd Zamzuri
spellingShingle Mohd Shah, Hairol Nizam
Yap, Sher Kee
Kamis, Zalina
Baharon, Mohd Rizuan
Ab Rashid, Mohd Zamzuri
Automated quality inspection on tile border detection using vision system
author_facet Mohd Shah, Hairol Nizam
Yap, Sher Kee
Kamis, Zalina
Baharon, Mohd Rizuan
Ab Rashid, Mohd Zamzuri
author_sort Mohd Shah, Hairol Nizam
title Automated quality inspection on tile border detection using vision system
title_short Automated quality inspection on tile border detection using vision system
title_full Automated quality inspection on tile border detection using vision system
title_fullStr Automated quality inspection on tile border detection using vision system
title_full_unstemmed Automated quality inspection on tile border detection using vision system
title_sort automated quality inspection on tile border detection using vision system
publisher Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
publishDate 2019
url http://eprints.utem.edu.my/id/eprint/24281/2/IJRTE-AUTOMATED%20QUALITY.PDF
http://eprints.utem.edu.my/id/eprint/24281/
https://www.ijrte.org/wp-content/uploads/papers/v8i3/C3983098319.pdf
_version_ 1770555168160481280
score 13.211869

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