Development of an inline and high-speed printing inspection system

In Fast Moving Consumer Goods (FMCG) industry, defect in the printing of products is one of the common problems. Identifying these defects is crucial in maintaining the quality of the printed products and prevent wastage of resources. Traditionally, the inspection of the printed products is done man...

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Main Author: Tan, Lionel G-Zong
Other Authors: Domenico Campolo
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/141390
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1413902023-03-04T19:41:13Z Development of an inline and high-speed printing inspection system Tan, Lionel G-Zong Domenico Campolo School of Mechanical and Aerospace Engineering Advanced Remanufacturing and Technology Centre d.campolo@ntu.edu.sg Engineering::Mechanical engineering In Fast Moving Consumer Goods (FMCG) industry, defect in the printing of products is one of the common problems. Identifying these defects is crucial in maintaining the quality of the printed products and prevent wastage of resources. Traditionally, the inspection of the printed products is done manually. However, this is not feasible in the FMCG industry due to the high production and large inventory turnover rate of the products. Therefore, there is a need to develop a vision system that can accurately detect defects in the printed products in the high-speed production line. In this project, the development of the vision system together with an automatic image processing method and algorithms is explored and tested for the detection of defective colour printing. The results of the developing vision system show that it is capable of capturing high-quality images and successfully process the image automatically to detect any defective colour printing. Bachelor of Engineering (Mechanical Engineering) 2020-06-08T04:42:59Z 2020-06-08T04:42:59Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/141390 en A010 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
spellingShingle Engineering::Mechanical engineering
Tan, Lionel G-Zong
Development of an inline and high-speed printing inspection system
description In Fast Moving Consumer Goods (FMCG) industry, defect in the printing of products is one of the common problems. Identifying these defects is crucial in maintaining the quality of the printed products and prevent wastage of resources. Traditionally, the inspection of the printed products is done manually. However, this is not feasible in the FMCG industry due to the high production and large inventory turnover rate of the products. Therefore, there is a need to develop a vision system that can accurately detect defects in the printed products in the high-speed production line. In this project, the development of the vision system together with an automatic image processing method and algorithms is explored and tested for the detection of defective colour printing. The results of the developing vision system show that it is capable of capturing high-quality images and successfully process the image automatically to detect any defective colour printing.
author2 Domenico Campolo
author_facet Domenico Campolo
Tan, Lionel G-Zong
format Final Year Project
author Tan, Lionel G-Zong
author_sort Tan, Lionel G-Zong
title Development of an inline and high-speed printing inspection system
title_short Development of an inline and high-speed printing inspection system
title_full Development of an inline and high-speed printing inspection system
title_fullStr Development of an inline and high-speed printing inspection system
title_full_unstemmed Development of an inline and high-speed printing inspection system
title_sort development of an inline and high-speed printing inspection system
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/141390
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