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딥러닝 기반 객체 검출 기술을 이용한 환봉 자동 라벨 부착 시스템
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dc.contributor.author 임영철 -
dc.contributor.author 강민성 -
dc.date.accessioned 2025-02-03T22:10:20Z -
dc.date.available 2025-02-03T22:10:20Z -
dc.date.created 2023-06-26 -
dc.date.issued 2023-06-23 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/57861 -
dc.description.abstract In this paper, we propose a system that automatically attaches a label to the tip of a round bar using camera-robot coordinate transform technology and deep learning-based object detection technology to solve the problems of existing rule-based machine vision technology. According to our experiments, when the method proposed in this project was applied to the automatic round bar attachment system, it was confirmed that the label attachment accuracy was within 2 mm in most cases. -
dc.language Korean -
dc.publisher 제어·로봇·시스템학회 -
dc.relation.ispartof 제어로봇시스템학회 국내학술대회 논문집 -
dc.title 딥러닝 기반 객체 검출 기술을 이용한 환봉 자동 라벨 부착 시스템 -
dc.title.alternative Round Bar Automatic Labeling Attachment System Using Deep Learning-based Object Detection Technology -
dc.type Conference Paper -
dc.identifier.bibliographicCitation 임영철. (2023-06-23). 딥러닝 기반 객체 검출 기술을 이용한 환봉 자동 라벨 부착 시스템. 2023 제38회 제어·로봇·시스템학회 학술대회, 685–686. -
dc.identifier.url https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11480522 -
dc.citation.conferenceDate 2023-06-21 -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 삼척 -
dc.citation.endPage 686 -
dc.citation.startPage 685 -
dc.citation.title 2023 제38회 제어·로봇·시스템학회 학술대회 -
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임영철
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