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| DC Field | Value | Language |
|---|---|---|
| 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 | - |