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Development of an Inspection Machine for Automotive Oil-Seals Using Machine Vision  

노병국 (한성대학교 기계시스템공학과)
김도형 (대구가톨릭대학교 대학원 기계자동차공학)
박용국 (대구가톨릭대학교 기계자동차공학부)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.12, no.3, 2004 , pp. 184-191 More about this Journal
Abstract
In this study, an inspection system for automotive parts using machine vision has been developed and presented. The system is comprised of six analog CCD cameras, frame grabber, and mechanism that loads the automotive parts to the system for the inspection. An Image processing algorithm for detecting eight different types of defects of oil-seals are developed, and the effectiveness of the algorithm is experimentally verified. Inspection process is completed in 1 second with acceptable accuracy. It is envisaged that this inspection system will have a wide application in the automotive part manufacturing industry in the future.
Keywords
Machine vision; Image processing; Automotive parts; CCD camera; Illumination; Threshold image; Inspection system;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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