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Good / bad judgment system and good / bad judgment method

机译:好/坏判断体系和好/坏判断方法

摘要

The present invention provides a quality determination system capable of determining the quality of inspection targets with higher accuracy, a quality determination method, a server, and a program. A quality determination system 10a comprises: a teaching dataset generation unit 302 that classifies images containing a plurality of inspection target defects in accordance with defect-characterizing brightnesses, and generates a plurality of classified teaching datasets; a storage unit 460b that stores a plurality of machine learning models, which have been respectively constructed on the basis of the plurality of teaching datasets by a machine learning model construction service 80 for constructing machine learning models; a camera unit 460a that captures images of inspection targets; a determination unit 460c that determines the quality of each inspection target 14 imaged by the camera unit 460a on the basis of the plurality of machine learning models stored in the storage unit 460b; and an optimal model selection unit 306 that evaluates the determination results from the determination unit 460c, and selects an optimal machine learning model from among the plurality of machine learning models.
机译:本发明提供一种能够以更高的精度确定检验目标的质量的质量确定系统、质量确定方法、服务器和程序。 质量确定系统10a包括:示教数据集生成单元302,其根据表征亮度的缺陷对包含多个检查目标缺陷的图像进行分类,并生成多个分类示教数据集;存储单元460b,其存储多个机器学习模型,所述多个机器学习模型是由机器学习模型构造服务80基于所述多个教学数据集分别构造的,用于构造机器学习模型;相机单元460a,其捕捉检查目标的图像;确定单元460c,其基于存储在存储单元460b中的多个机器学习模型来确定由相机单元460a成像的每个检查目标14的质量;以及最佳模型选择单元306,其评估来自确定单元460c的确定结果,并从多个机器学习模型中选择最佳机器学习模型。

著录项

  • 公开/公告号JP7049028B2

    专利类型

  • 公开/公告日2022-04-06

    原文格式PDF

  • 申请/专利权人 株式会社リョーワ;

    申请/专利号JP20210549555

  • 发明设计人 田中 裕弓;津田 貴史;

    申请日2021-04-26

  • 分类号G06T7;

  • 国家 JP

  • 入库时间 2022-08-25 00:28:53

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