• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Industrial Engineering & Management Systems >The Relationship between Dirt Levels of Inspection Surface and Defect Detection in Visual Inspection Utilizing Peripheral Vision
【24h】

The Relationship between Dirt Levels of Inspection Surface and Defect Detection in Visual Inspection Utilizing Peripheral Vision

机译：利用外围视觉检验视觉检查污垢水平与缺陷检测的关系

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This study focuses on adhered dirt such as dust on a product in production process, and considers the relationship be- tween dirt levels of inspection surface and defect detection in visual inspection utilizing peripheral vision. Specifical- ly, images of an inspection surface in an actual factory are analyzed using image analysis for modeling dirt. Moreover, dirt levels of inspection surface, defect locations, and defect characteristics (luminance contrast, size, and bright-dark defects) are designed as experimental factors, and their effect on defect detection rate is evaluated. As a result, it is clarified that the defect detection rate suddenly reduces as the inspection surface becomes dirtier. Consequently, the defects that can be detected easily becomes harder to detect, as the inspection surface is dirtier in visual inspection utilizing peripheral vision.
机译：本研究专注于粘附的污垢，例如生产过程中产品的灰尘，并考虑了使用外围视觉的视觉检测中的检查表面和缺陷检测的关系。 使用图像分析来分析实际工厂中检查表面的图像，用于建模污垢。 此外，设计了检查表面，缺陷位置和缺陷特性（亮度对比度，尺寸和亮度缺陷）的污垢水平被设计为实验因子，并评估其对缺陷检测率的影响。 结果，阐明了缺陷检测率突然减少，因为检查表面变为污垢。 因此，可以容易地检测的缺陷变得难以检测，因为使用外围视觉检查表面是视觉检查中的污垢。

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