首页> 外文会议>2011 IEEE Industry Applications Society Annual Meeting >Vision-based technique for periodical defect detection in hot steel strips
【24h】

Vision-based technique for periodical defect detection in hot steel strips

机译:基于视觉的热轧带钢定期缺陷检测技术

获取原文

摘要

This document presents a technique to detect a particularly serious problem: periodical defects. Periodical defects can cause serious damage to steel strips, and so should be corrected as quickly as possible. The technique proposed, which is based on information provided by an artificial vision system, reports on periodical defects detected in one strip before starting to roll the next.
机译:本文档介绍了一种检测特别严重的问题的技术:定期缺陷。周期性缺陷会严重损坏钢带,因此应尽快纠正。所提出的技术基于人工视觉系统提供的信息,该技术报告了在一条带材开始轧制另一条带材之前检测到的周期性缺陷。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号