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Learning model generation method, learning model, inspection device, abnormality detection method, and computer program

机译:学习模型生成方法,学习模型,检查装置,异常检测方法和计算机程序

摘要

PROBLEM TO BE SOLVED: To provide a learning model generation method, a learning model, an inspection device, an abnormality detection method, and a computer program capable of accurately detecting an abnormality of an inspection object. SOLUTION: A plurality of inspection objects 4 are irradiated with electromagnetic waves, and an inspection image corresponding to one inspection object 4 extracted from an image acquired according to the electromagnetic waves transmitted through each inspection object 4 is acquired. And teacher data including abnormality presence/absence information regarding the presence/absence of abnormality of the inspection object 4, irradiating electromagnetic waves to a plurality of inspection objects 4 based on the teacher data, and in accordance with the electromagnetic waves transmitted through each inspection object 4. When the inspection image corresponding to one inspection object 4 extracted from the acquired image is input, the learning model 152 that outputs the abnormality presence/absence information of the inspection object 4 is generated. [Selection diagram] Figure 2
机译:解决的问题:提供一种能够准确地检测检查对象的异常的学习模型生成方法,学习模型,检查装置,异常检测方法以及计算机程序。解决方案:向多个检查对象4照射电磁波,并获取对应于一个检查对象4的检查图像,该检查图像是从根据根据每个检查对象4传输的电磁波获取的图像中提取的。并且,教师数据包括与检查对象4的异常的有无有关的异常存在/不存在的信息,基于教师数据并根据通过各检查对象的电磁波,向多个检查对象4照射电磁波。 4.输入与从取得的图像中提取出的一个检查对象4对应的检查图像时,生成输出检查对象4的异常有无信息的学习模型152。 [选择图]图2

著录项

  • 公开/公告号JP6742037B1

    专利类型

  • 公开/公告日2020-08-19

    原文格式PDF

  • 申请/专利权人 株式会社 システムスクエア;

    申请/专利号JP20190051400

  • 发明设计人 中川 幸寛;

    申请日2019-03-19

  • 分类号G01N23/04;G01N23/083;G01N23/18;G06T7;

  • 国家 JP

  • 入库时间 2022-08-21 11:34:58

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