Software solution for Testing Image Processing Algorithm on Conveyor-Based Vision Systems

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Main Authors:	Azman, Muhamad Yusof, Ali Yeon, Md Shakaff, Saufiah, Abdul Rahim
Other Authors:	azman@unimap.edu.my
Format:	Article
Language:	English
Published:	IOP Publishing 2020
Subjects:	Software solution Vision Vision systems
Online Access:	http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69035
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-69035
record_format	dspace
spelling	my.unimap-690352020-12-16T08:35:53Z Software solution for Testing Image Processing Algorithm on Conveyor-Based Vision Systems Azman, Muhamad Yusof Ali Yeon, Md Shakaff Saufiah, Abdul Rahim azman@unimap.edu.my Software solution Vision Vision systems Link to publisher's homepage at https://iopscience.iop.org/ Vision systems have been used in many applications that intends to reduce the need for human operators. This is especially true for tasks that are simple but repetitive in nature, which is largely applicable to most manufacturing and agriculture’s post-harvest processes. Many such processes utilize conveyor-based systems where the objects being processed are placed on a conveyor belt that runs through multiple processing stations. Implementing a vision system to capture images of an object that is moving usually requires setting up an imaging device to a working conveyor system. Getting a working conveyor system to be ready can take some time and consequently delay development work on the vision system itself, especially those involving image processing algorithms. This paper proposes a software solution that can be used to expedite initial work on such systems. The solution is written in C and is therefore easily ported to any development machine. A basic image processing library has also been developed so that it does not depend on any development library or suite, which is usually huge in size. Thus, the solution can easily be compiled and run on embedded development boards like Raspberry Pi - for a more portable solution. 2020-12-16T08:35:53Z 2020-12-16T08:35:53Z 2019 Article Journal of Physics: Conference Series, vol.1372, 2019, 6 pages 1742-6588 (print) 1742-6596 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69035 https://iopscience.iop.org/issue/1742-6596/1372/1 en International Conference on Biomedical Engineering (ICoBE); IOP Publishing
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Software solution Vision Vision systems
spellingShingle	Software solution Vision Vision systems Azman, Muhamad Yusof Ali Yeon, Md Shakaff Saufiah, Abdul Rahim Software solution for Testing Image Processing Algorithm on Conveyor-Based Vision Systems
description	Link to publisher's homepage at https://iopscience.iop.org/
author2	azman@unimap.edu.my
author_facet	azman@unimap.edu.my Azman, Muhamad Yusof Ali Yeon, Md Shakaff Saufiah, Abdul Rahim
format	Article
author	Azman, Muhamad Yusof Ali Yeon, Md Shakaff Saufiah, Abdul Rahim
author_sort	Azman, Muhamad Yusof
title	Software solution for Testing Image Processing Algorithm on Conveyor-Based Vision Systems
title_short	Software solution for Testing Image Processing Algorithm on Conveyor-Based Vision Systems
title_full	Software solution for Testing Image Processing Algorithm on Conveyor-Based Vision Systems
title_fullStr	Software solution for Testing Image Processing Algorithm on Conveyor-Based Vision Systems
title_full_unstemmed	Software solution for Testing Image Processing Algorithm on Conveyor-Based Vision Systems
title_sort	software solution for testing image processing algorithm on conveyor-based vision systems
publisher	IOP Publishing
publishDate	2020
url	http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69035
_version_	1698698546841124864

Software solution for Testing Image Processing Algorithm on Conveyor-Based Vision Systems

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