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dc.contributor.authorAzman, Muhamad Yusof
dc.contributor.authorAli Yeon, Md Shakaff
dc.contributor.authorSaufiah, Abdul Rahim
dc.date.accessioned2020-12-16T08:35:53Z
dc.date.available2020-12-16T08:35:53Z
dc.date.issued2019
dc.identifier.citationJournal of Physics: Conference Series, vol.1372, 2019, 6 pagesen_US
dc.identifier.issn1742-6588 (print)
dc.identifier.issn1742-6596 (online)
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/69035
dc.descriptionLink to publisher's homepage at https://iopscience.iop.org/en_US
dc.description.abstractVision 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.en_US
dc.language.isoenen_US
dc.publisherIOP Publishingen_US
dc.relation.ispartofseriesInternational Conference on Biomedical Engineering (ICoBE);
dc.subjectSoftware solutionen_US
dc.subjectVisionen_US
dc.subjectVision systemsen_US
dc.titleSoftware solution for Testing Image Processing Algorithm on Conveyor-Based Vision Systemsen_US
dc.typeArticleen_US
dc.identifier.urlhttps://iopscience.iop.org/issue/1742-6596/1372/1
dc.contributor.urlazman@unimap.edu.myen_US


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