Staff View: Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques

Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques

In the era of Industry 4.0, the digital capture of products has become a critical aspect, which prompts the need for reliable inspection methods. In the current technological landscape, the Internet of Things (IoT) holds significant value, especially for industrial devices that require seamless com...

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Main Authors:	Yazid Saif, Yazid Saif, Anika Zafiah M. Rus, Anika Zafiah M. Rus, Yusri Yusof, Yusri Yusof, Maznah Lliyas Ahmed, Maznah Lliyas Ahmed, Sami Al-Alimi, Sami Al-Alimi, Djamal Hissein Didane, Djamal Hissein Didane, Anbia Adam, Anbia Adam, Yeong Hyeon Gu, Yeong Hyeon Gu, Mohammed A. Al-masni, Mohammed A. Al-masni, Hakim Qaid Abdullah Abdulrab, Hakim Qaid Abdullah Abdulrab
Format:	Article
Language:	English
Published:	Mdpi 2023
Subjects:	T Technology (General)
Online Access:	http://eprints.uthm.edu.my/10755/1/J16796_359ece9bccbfe442e603f8ece500edf3.pdf http://eprints.uthm.edu.my/10755/ https://doi.org/10.3390/app132011419
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spelling	my.uthm.eprints.107552024-01-17T01:51:54Z http://eprints.uthm.edu.my/10755/ Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques Yazid Saif, Yazid Saif Anika Zafiah M. Rus, Anika Zafiah M. Rus Yusri Yusof, Yusri Yusof Maznah Lliyas Ahmed, Maznah Lliyas Ahmed Sami Al-Alimi, Sami Al-Alimi Djamal Hissein Didane, Djamal Hissein Didane Anbia Adam, Anbia Adam Yeong Hyeon Gu, Yeong Hyeon Gu Mohammed A. Al-masni, Mohammed A. Al-masni Hakim Qaid Abdullah Abdulrab, Hakim Qaid Abdullah Abdulrab T Technology (General) In the era of Industry 4.0, the digital capture of products has become a critical aspect, which prompts the need for reliable inspection methods. In the current technological landscape, the Internet of Things (IoT) holds significant value, especially for industrial devices that require seamless communication with local and cloud computing servers. This research focuses on the advancements made in roundness measurement techniques for industrial automation by leveraging an IoT architecture, computer vision, and image processing. The interconnectedness enables the efficient collection of feedback information, meeting the demands of closed-loop manufacturing. The accuracy and performance of assemblies heavily rely on the roundness of specific workpiece components. In order to address this problem, automated inspection methods are needed. A new method of computer vision for measuring and inspecting roundness is proposed in this paper. This method uses a non-contact method that takes into account all points on the contours of measured objects, making it more accurate and practical than conventional methods. The system developed by AMMC Laboratory captures Delrin work images and analyzes them using a specially designed 3SMVI system based on Open CV with Python script language. The system can measure and inspect several rounded components in the same part, including external frames and internal holes. It is calibrated to accommodate various units of measurement and has been tested using sample holes within the surface feature of the workpiece. According to the results of both techniques, there is a noticeable difference ranging from 2.9 µm to 11.6 µm. However, the accuracy of the measurements can be enhanced by utilizing a high-resolution camera with proper lighting. The results were compared to those obtained using a computer measurement machine (CMM), with a maximum difference of 8.7%. Mdpi 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/10755/1/J16796_359ece9bccbfe442e603f8ece500edf3.pdf Yazid Saif, Yazid Saif and Anika Zafiah M. Rus, Anika Zafiah M. Rus and Yusri Yusof, Yusri Yusof and Maznah Lliyas Ahmed, Maznah Lliyas Ahmed and Sami Al-Alimi, Sami Al-Alimi and Djamal Hissein Didane, Djamal Hissein Didane and Anbia Adam, Anbia Adam and Yeong Hyeon Gu, Yeong Hyeon Gu and Mohammed A. Al-masni, Mohammed A. Al-masni and Hakim Qaid Abdullah Abdulrab, Hakim Qaid Abdullah Abdulrab (2023) Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques. Applied Sciences, 13 (11419). pp. 1-22. https://doi.org/10.3390/app132011419
institution	Universiti Tun Hussein Onn Malaysia
building	UTHM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tun Hussein Onn Malaysia
content_source	UTHM Institutional Repository
url_provider	http://eprints.uthm.edu.my/
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Yazid Saif, Yazid Saif Anika Zafiah M. Rus, Anika Zafiah M. Rus Yusri Yusof, Yusri Yusof Maznah Lliyas Ahmed, Maznah Lliyas Ahmed Sami Al-Alimi, Sami Al-Alimi Djamal Hissein Didane, Djamal Hissein Didane Anbia Adam, Anbia Adam Yeong Hyeon Gu, Yeong Hyeon Gu Mohammed A. Al-masni, Mohammed A. Al-masni Hakim Qaid Abdullah Abdulrab, Hakim Qaid Abdullah Abdulrab Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques
description	In the era of Industry 4.0, the digital capture of products has become a critical aspect, which prompts the need for reliable inspection methods. In the current technological landscape, the Internet of Things (IoT) holds significant value, especially for industrial devices that require seamless communication with local and cloud computing servers. This research focuses on the advancements made in roundness measurement techniques for industrial automation by leveraging an IoT architecture, computer vision, and image processing. The interconnectedness enables the efficient collection of feedback information, meeting the demands of closed-loop manufacturing. The accuracy and performance of assemblies heavily rely on the roundness of specific workpiece components. In order to address this problem, automated inspection methods are needed. A new method of computer vision for measuring and inspecting roundness is proposed in this paper. This method uses a non-contact method that takes into account all points on the contours of measured objects, making it more accurate and practical than conventional methods. The system developed by AMMC Laboratory captures Delrin work images and analyzes them using a specially designed 3SMVI system based on Open CV with Python script language. The system can measure and inspect several rounded components in the same part, including external frames and internal holes. It is calibrated to accommodate various units of measurement and has been tested using sample holes within the surface feature of the workpiece. According to the results of both techniques, there is a noticeable difference ranging from 2.9 µm to 11.6 µm. However, the accuracy of the measurements can be enhanced by utilizing a high-resolution camera with proper lighting. The results were compared to those obtained using a computer measurement machine (CMM), with a maximum difference of 8.7%.
format	Article
author	Yazid Saif, Yazid Saif Anika Zafiah M. Rus, Anika Zafiah M. Rus Yusri Yusof, Yusri Yusof Maznah Lliyas Ahmed, Maznah Lliyas Ahmed Sami Al-Alimi, Sami Al-Alimi Djamal Hissein Didane, Djamal Hissein Didane Anbia Adam, Anbia Adam Yeong Hyeon Gu, Yeong Hyeon Gu Mohammed A. Al-masni, Mohammed A. Al-masni Hakim Qaid Abdullah Abdulrab, Hakim Qaid Abdullah Abdulrab
author_facet	Yazid Saif, Yazid Saif Anika Zafiah M. Rus, Anika Zafiah M. Rus Yusri Yusof, Yusri Yusof Maznah Lliyas Ahmed, Maznah Lliyas Ahmed Sami Al-Alimi, Sami Al-Alimi Djamal Hissein Didane, Djamal Hissein Didane Anbia Adam, Anbia Adam Yeong Hyeon Gu, Yeong Hyeon Gu Mohammed A. Al-masni, Mohammed A. Al-masni Hakim Qaid Abdullah Abdulrab, Hakim Qaid Abdullah Abdulrab
author_sort	Yazid Saif, Yazid Saif
title	Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques
title_short	Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques
title_full	Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques
title_fullStr	Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques
title_full_unstemmed	Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques
title_sort	advancements in roundness measurement parts for industrial automation using internet of things architecture-based computer vision and image processing techniques
publisher	Mdpi
publishDate	2023
url	http://eprints.uthm.edu.my/10755/1/J16796_359ece9bccbfe442e603f8ece500edf3.pdf http://eprints.uthm.edu.my/10755/ https://doi.org/10.3390/app132011419
_version_	1789427618626404352
score	13.211869

Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques

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