인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
피인용 0
초록·키워드
This study presents a You Only Look Once version 8 (YOLOv8) segmentation-based method for determining whether raw materials are correctly inserted into the lower mold of a press, whether a finished product remains in the mold, and whether the raw materials overlap the finished product. An endoscopic camera was fixed at the center of the upper mold to capture the lower mold from a consistent position. Training data were collected in both laboratory and actual press environments and included raw materials, finished products, overlapped states, and material-feeding grippers. The raw material and finished product were polygon-labeled along their visible outer contours, and a YOLOv8 segmentation model was trained. The developed artificial intelligence program used material-feeding gripper detection as an image-acquisition trigger and performed a two-stage state determination using detected classes and the bounding box size of the raw material. All normal-state data were correctly classified, and overlapped cases in which only the raw materials were detected were identified as abnormal through the second-stage bounding box size criterion. The proposed method is therefore applicable to automatic material-state determination inside a press lower mold and may help prevent mold damage and equipment accidents.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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