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http://dx.doi.org/10.7236/JIWIT.2011.11.4.099

Defects Detection System on Injection Molded Part  

Park, In-Kyu (중부대학교 컴퓨터학과)
Lee, Wan-Bum (탑엘이디 기업부설연구소)
Choi, Gyoo-Seok (청운대학교 컴퓨터학과)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.11, no.4, 2011 , pp. 99-104 More about this Journal
Abstract
In this paper the approach of neural network was proposed which detects a variety of defects in the molded parts. In an attempt to improve the response of the system, It is designed to minimize the use of memory via LookUp table in software. The goal of these methods was to extract the features of samples in learning of neural networks, overcoming the algorithms of defects detection and classification. Through the learning of 500 sample patterns of molded parts, defects of 3% molded parts was detected and classified as the incorrect diameter parts. We expect that proposed approach is an effective alternative to save test time and cost for defect detection of a fine pattern within the molded parts.
Keywords
Insulator; Morphology; Quality Check; Image Processing;
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