Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/395565
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dc.contributor.authorKhairul Anuar A.Rahman-
dc.contributor.authorAnton Satria Prabuwono-
dc.contributor.authorRuzaidi Zamri-
dc.contributor.authorA. Syukor Md. Jaya-
dc.date.accessioned2023-06-15T08:03:24Z-
dc.date.available2023-06-15T08:03:24Z-
dc.identifier.otherukmvital:130273-
dc.identifier.urihttp://ptsldigitalv2.ukm.my:8080/jspui/handle/123456789/395565-
dc.description.abstractThis paper is aimed to present an intelligent Visual Inspection System which compared to human, can operate untiringly and provide consistent quality and accuracy of the inspected products. The system can detect defects that are too subtle for an unaided human and can operate with higher speeds than human eye. The scheme is concerning the development of an automated visual inspection based on CMOS web-camera in a production line simulation. The main objectives are to develop intelligent visual inspection system and image processing algorithm to perform measurement of part parameter. In this research, the systems are divided into hardware and software framework. The result shows that dimensions of part can be obtained by calculating the pixel value.-
dc.language.isoeng-
dc.publisherUniversiti Teknikal Malaysia Melaka-
dc.subjectVision system-
dc.subjectVisual Inspection System-
dc.subjectImage processing-
dc.titleDevelopment of intelligent visual inspection system-
dc.typeSeminar Papers-
dc.identifier.callnoTA160.S449 2008 sem-
dc.contributor.conferencenameSeminar Pencapaian Penyelidikan UTeM-
dc.coverage.conferencelocationBayview Hotel, Malacca, Malaysia-
dc.date.conferencedate03/12/2008-
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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