Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)
- Volume 17 Issue 2
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- Pages.77-83
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- 2014
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- 1226-833X(pISSN)
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- 2765-5415(eISSN)
DOI QR Code
A Study on Automatic Inspection Technology of Machinery Parts Based on Pattern Recognition
패턴인식에 의한 기계부품 자동검사기술에 관한 연구
- Received : 2014.03.27
- Accepted : 2014.04.16
- Published : 2014.05.31
Abstract
This paper describes a new technology to develop the character recognition technology based on pattern recognition for non-contacting inspection optical lens slant or precision parts, and including external form state of lens or electronic parts for the performance verification, this development can achieve badness finding. And, establish to existing reflex data because inputting surface badness degree of scratch's standard specification condition directly, and error designed to distinguish from product more than schedule error to badness product by normalcy product within schedule extent after calculate the error comparing actuality measurement reflex data and standard reflex data mutually. Developed system to smallest 1 pixel unit though measuring is possible 1 pixel as