Development of line-scan vision system for print quality inspection

In recent years, the fast-moving consumer goods industry, aligning with Industry 4.0 practices, has been incorporating more modern smart technology into the manufacturing system. To enable a factory to become a “smart factory”, there is a need for the machines to be capable of exchanging information...

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Bibliographic Details
Main Author: Lim, Darius Jun Yong
Other Authors: Seah Leong Keey
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/150910
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author Lim, Darius Jun Yong
author2 Seah Leong Keey
author_facet Seah Leong Keey
Lim, Darius Jun Yong
author_sort Lim, Darius Jun Yong
collection NTU
description In recent years, the fast-moving consumer goods industry, aligning with Industry 4.0 practices, has been incorporating more modern smart technology into the manufacturing system. To enable a factory to become a “smart factory”, there is a need for the machines to be capable of exchanging information autonomously and control one another. One of the crucial aspects of a supply chain is the quality control process, where defective products are sieved out by hand traditionally. However, given the huge volume of products being shipped out every day, there is a need for a more efficient system. The aim of this project is to develop an automated solution where a computer is able to accurately detect defects on a sample packaging and pinpoint the location. The usage of a vision system along with machine learning elements such as Google Colab and Neurocle will be incorporated throughout this project. Future work includes increasing the number of datasets to increase the machine learning model’s accuracy and precision. Also, another goal is to train the model to locate and differentiate if there are various defects present on the packaging.
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spelling ntu-10356/1509102021-06-04T07:29:36Z Development of line-scan vision system for print quality inspection Lim, Darius Jun Yong Seah Leong Keey School of Mechanical and Aerospace Engineering A*STAR ARTC Simon Chin MLKSEAH@ntu.edu.sg Engineering::Mechanical engineering::Assistive technology In recent years, the fast-moving consumer goods industry, aligning with Industry 4.0 practices, has been incorporating more modern smart technology into the manufacturing system. To enable a factory to become a “smart factory”, there is a need for the machines to be capable of exchanging information autonomously and control one another. One of the crucial aspects of a supply chain is the quality control process, where defective products are sieved out by hand traditionally. However, given the huge volume of products being shipped out every day, there is a need for a more efficient system. The aim of this project is to develop an automated solution where a computer is able to accurately detect defects on a sample packaging and pinpoint the location. The usage of a vision system along with machine learning elements such as Google Colab and Neurocle will be incorporated throughout this project. Future work includes increasing the number of datasets to increase the machine learning model’s accuracy and precision. Also, another goal is to train the model to locate and differentiate if there are various defects present on the packaging. Bachelor of Engineering (Mechanical Engineering) 2021-06-04T07:29:36Z 2021-06-04T07:29:36Z 2021 Final Year Project (FYP) Lim, D. J. Y. (2021). Development of line-scan vision system for print quality inspection. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150910 https://hdl.handle.net/10356/150910 en A012 application/pdf Nanyang Technological University
spellingShingle Engineering::Mechanical engineering::Assistive technology
Lim, Darius Jun Yong
Development of line-scan vision system for print quality inspection
title Development of line-scan vision system for print quality inspection
title_full Development of line-scan vision system for print quality inspection
title_fullStr Development of line-scan vision system for print quality inspection
title_full_unstemmed Development of line-scan vision system for print quality inspection
title_short Development of line-scan vision system for print quality inspection
title_sort development of line scan vision system for print quality inspection
topic Engineering::Mechanical engineering::Assistive technology
url https://hdl.handle.net/10356/150910
work_keys_str_mv AT limdariusjunyong developmentoflinescanvisionsystemforprintqualityinspection