지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.2
- 수록면
- 635 - 640 (6page)
이용수
초록· 키워드
오류제보하기
Today, machine vision is widely spread in manufacturing applications such as tool monitoring, workpiece recognition, collision detection, and measuring and inspection, offering digitized information to manufacturing systems. The main process of machine visioning consists of several steps: i) object image obtaining, ii) image processing and analysis, iii) feedback of image information to a control system, and iv) actuator manipulation. Especially, in the case of recognizing printed 2D shapes and generating machining data, the image processing and analysis step affects much to manufacturing quality and shop floor productivity. For instance, the patterns of a cover lens of a mobile phone camera are printed into a tempered glass, being measured through a vision system. Machining data for the camera lens is then generated by image processing and analysis. However, thermal effects and printing machine resolution force printed shapes to get errors such as irregular arrangement, rotated patterns, miss-printed patterns, and so on. Thus, this paper identifies the patterns of errors occurred in the image processing and analysis step, proposing an error compensation method based on error patterns for vision based manufacturing systems. A prototype vision-based manufacturing system is shown.
목차
ABSTRACT
1. 서론
2. 머신 비전
3. 인쇄오류 및 보정방법
4. 실험 및 구현사례
4. 결론
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UCI(KEPA) : I410-ECN-0101-2015-500-001135902