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Method and System for Machine Vision based Quality Inspection using Deep Learning in Manufacturing Process

机译:在制造过程中使用深度学习进行基于机器视觉的质量检查的方法和系统

摘要

A method and a system for a machine vision-based quality inspection by utilizing deep learning in a manufacturing process are provided. According to an embodiment of the present invention, the method for a machine vision-based quality inspection comprises the steps of: generating a learning product image; learning a classifier for distinguishing good and bad products with the generated learning product image; and determining a product as a good or a bad product by using the learned classifier. Therefore, a feature value of data to be distinguished can be found by learning, and a machine vision-based inspection can be performed even for an inspection region dependent on a manual inspection as a defect is difficult to formalize.
机译:提供了一种通过在制造过程中利用深度学习进行基于机器视觉的质量检查的方法和系统。根据本发明的实施例,用于基于机器视觉的质量检查的方法包括以下步骤:生成学习产品图像;以及学习一个分类器,用生成的学习产品形象来区分好坏产品;并使用学习到的分类器将产品确定为好产品或坏产品。因此,通过学习可以找到要区分的数据的特征值,并且即使对于依赖于手动检查的检查区域也可以进行基于机器视觉的检查,因为缺陷难以形式化。

著录项

  • 公开/公告号KR20190063839A

    专利类型

  • 公开/公告日2019-06-10

    原文格式PDF

  • 申请/专利权人 KOREA ELECTRONICS TECHNOLOGY INSTITUTE;

    申请/专利号KR20170162907

  • 发明设计人 LEE SEUNG WOO;KWON YOUNG MIN;

    申请日2017-11-30

  • 分类号G06T7;G06K9/32;G06N99;G06Q50/04;G06T7/11;

  • 国家 KR

  • 入库时间 2022-08-21 11:50:46

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