커뮤니티
프로젝트- 커뮤니티
- 프로젝트
DEFECTIVE PRODUCT DETECTION SYSTEM IN STEEL MANUFACTURING FACTORY
작성자 : 관리자
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작성일 : 2024.07.05
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조회수 : 75
◆ 프로젝트 명
DEFECTIVE PRODUCT DETECTION SYSTEM IN STEEL MANUFACTURING FACTORY
◆ 참여자
Firstova Anastasiia, Ismatullaeva Gulnur, Kahal Sweety, LIU YANG, Sadykov Alisher, 이강민
◆ 개발기간
2024.3~2024.6
◆ 프로젝트 내용
In the steel rolling process, mechanical defects of steel billets like “ears” can lead to significant issues in the final product. Currently in SeAH Besteel, the defects are identified by human inspection, which is time-consuming and also may have a human error. By automating this process using computer vision technologies our system aims to improve overall production efficiency. With machine learning algorithms and image processing techniques, our system aims to detect and identify defects in real time accurately, minimizing defects in the final product. The goal of our project is to develop such a system for detecting defects in a steel billet, specifically “ears”. By using CCTV images of the cut surface of the billet, the system’s goal is to identify abnormalities, measure them, and recognize ID and HEAT, to save at the end in a CSV file.
