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

机译:基于机器视觉深度学习的制造过程中智能基于人工智能质量检验的AI方法和系统

摘要

A method and system for automatic defect detection in the AI-based cosmetic container printing manufacturing process using image deep learning are provided. The automatic defect detection method in the AI-based cosmetic container printing manufacturing process using image deep learning according to an embodiment of the present invention generates a cosmetic container image, and learns a classifier for classifying good and defective products with the generated cosmetic container image Then, using the learned classifier, the cosmetic container is judged as good or defective. Thereby, it is possible to find the characteristic value of the data to be discriminated by itself by learning, and it becomes possible to automatically detect defects in cosmetic containers based on AI even in inspection areas that are difficult to formulate defects and rely on manual inspection.
机译:提供了一种用于使用图像深度学习的基于AI的化妆品容器印刷制造过程中自动缺陷检测的方法和系统。 根据本发明实施例的使用图像深度学习的基于AI的化妆品容器印刷制造过程中的自动缺陷检测方法产生了化妆品容器图像,并学习用于对具有所生成的化妆容器图像进行分类的分类器,然后 ,使用学习的分类器,化妆品容器被判断为好或有缺陷。 由此,可以通过学习找到要自身区分的数据的特征值,并且即使在难以制定缺陷并依赖手动检查的检查区域中,也可以自动检测基于AI的化妆品容器中的缺陷 。

著录项

  • 公开/公告号KR20210122429A

    专利类型

  • 公开/公告日2021-10-12

    原文格式PDF

  • 申请/专利权人 박규현;

    申请/专利号KR20200039532

  • 发明设计人 박규현;이재홍;

    申请日2020-04-01

  • 分类号G01N21/88;G01N21/90;G06N3/08;G06T7;

  • 国家 KR

  • 入库时间 2022-08-24 21:37:42

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