Effect of color contrast to the accuracy of SSD-MobileNetV2

Machine vision with deep learning neural network is currently on the rise, specifically with the emergence of Industrial Revolution 4.0. It is further elevated with the advancement in the computational capabilities of modern edge computing to reduce the computational cost. Thus, making such technolo...

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Main Authors: Shamsuddin, Mohd Firdaus, Azami, Muhammad Hanafi, Mohd Zaki, Hasan Firdaus, Abdullah, Nur Azam
Format: Article
Language:English
Published: Ismail Saritas 2022
Subjects:
Online Access:http://irep.iium.edu.my/100579/7/100579_Effect%20of%20color%20contrast%20to%20the%20accuracy%20of%20SSD-MobileNetV2.pdf
http://irep.iium.edu.my/100579/
https://ijisae.org/index.php/IJISAE/article/view/2133/716
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
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spelling my.iium.irep.1005792022-10-12T03:15:00Z http://irep.iium.edu.my/100579/ Effect of color contrast to the accuracy of SSD-MobileNetV2 Shamsuddin, Mohd Firdaus Azami, Muhammad Hanafi Mohd Zaki, Hasan Firdaus Abdullah, Nur Azam TL500 Aeronautics Machine vision with deep learning neural network is currently on the rise, specifically with the emergence of Industrial Revolution 4.0. It is further elevated with the advancement in the computational capabilities of modern edge computing to reduce the computational cost. Thus, making such technology economically viable to the general manufacturing industries for industrial application. Visual quality inspection would be among the most relevant process to have such architecture implemented. This paper explores the feasibility of deploying deep learning model, SSD-MobileNetV2 to replace manual visual inspection for holes counting process after drilling on a carbon-reinforced fiber composite component. The drilled holes were set into three (3) different conditions; bare-holes and holes equipped with semi-transparent or red locating pins. We conclude that the contrasting color of the holes with respect to its surrounding plays a pivotal role in their detections. Holes with semi-transparent or red locating pins are with accuracy of 77.14% and 73.33% respectively; while bare-blackened holes are with accuracy of only 45.95%. Ismail Saritas 2022-10-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/100579/7/100579_Effect%20of%20color%20contrast%20to%20the%20accuracy%20of%20SSD-MobileNetV2.pdf Shamsuddin, Mohd Firdaus and Azami, Muhammad Hanafi and Mohd Zaki, Hasan Firdaus and Abdullah, Nur Azam (2022) Effect of color contrast to the accuracy of SSD-MobileNetV2. International Journal of Intelligent Systems and Applications in Engineering, 10 (3). pp. 18-21. ISSN 2147-6799 https://ijisae.org/index.php/IJISAE/article/view/2133/716
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TL500 Aeronautics
spellingShingle TL500 Aeronautics
Shamsuddin, Mohd Firdaus
Azami, Muhammad Hanafi
Mohd Zaki, Hasan Firdaus
Abdullah, Nur Azam
Effect of color contrast to the accuracy of SSD-MobileNetV2
description Machine vision with deep learning neural network is currently on the rise, specifically with the emergence of Industrial Revolution 4.0. It is further elevated with the advancement in the computational capabilities of modern edge computing to reduce the computational cost. Thus, making such technology economically viable to the general manufacturing industries for industrial application. Visual quality inspection would be among the most relevant process to have such architecture implemented. This paper explores the feasibility of deploying deep learning model, SSD-MobileNetV2 to replace manual visual inspection for holes counting process after drilling on a carbon-reinforced fiber composite component. The drilled holes were set into three (3) different conditions; bare-holes and holes equipped with semi-transparent or red locating pins. We conclude that the contrasting color of the holes with respect to its surrounding plays a pivotal role in their detections. Holes with semi-transparent or red locating pins are with accuracy of 77.14% and 73.33% respectively; while bare-blackened holes are with accuracy of only 45.95%.
format Article
author Shamsuddin, Mohd Firdaus
Azami, Muhammad Hanafi
Mohd Zaki, Hasan Firdaus
Abdullah, Nur Azam
author_facet Shamsuddin, Mohd Firdaus
Azami, Muhammad Hanafi
Mohd Zaki, Hasan Firdaus
Abdullah, Nur Azam
author_sort Shamsuddin, Mohd Firdaus
title Effect of color contrast to the accuracy of SSD-MobileNetV2
title_short Effect of color contrast to the accuracy of SSD-MobileNetV2
title_full Effect of color contrast to the accuracy of SSD-MobileNetV2
title_fullStr Effect of color contrast to the accuracy of SSD-MobileNetV2
title_full_unstemmed Effect of color contrast to the accuracy of SSD-MobileNetV2
title_sort effect of color contrast to the accuracy of ssd-mobilenetv2
publisher Ismail Saritas
publishDate 2022
url http://irep.iium.edu.my/100579/7/100579_Effect%20of%20color%20contrast%20to%20the%20accuracy%20of%20SSD-MobileNetV2.pdf
http://irep.iium.edu.my/100579/
https://ijisae.org/index.php/IJISAE/article/view/2133/716
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