首页> 外国专利> BUILDING METHOD FOR BUILDING OBJECT IDENTIFICATION APPARATUS, STORAGE DEVICE, SETTING DEVICE AND OBJECT IDENTIFICATION METHOD

BUILDING METHOD FOR BUILDING OBJECT IDENTIFICATION APPARATUS, STORAGE DEVICE, SETTING DEVICE AND OBJECT IDENTIFICATION METHOD

机译:用于构建对象识别装置,存储设备,设置设备和对象识别方法的构建方法

摘要

The purpose of this invention is to identify, with a high degree of accuracy and a high degree of certainty, image information of a specific object, from a group of image data having a huge amount of data. Provided is a building method in which setting conditions of a machine learning apparatus (1) which performs machine learning are adjusted, and an object identification device (10) is built, said object identification device (10) identifying an object having predetermined characteristics from a group of image data with position information, obtained by associating position information with individual image information. This building method comprises an extraction step, a setting step and an adjustment step. In the extraction step, an image is extracted on the basis of a rule base related to an object having predetermined characteristics, from part of a group of image data with position information. The setting step sets a label to the extracted image, if an object having predetermined characteristics is shown. The adjustment step inputs an image to which a label has been set to a machine learning apparatus, and adjusts setting conditions in accordance with the label, on the basis of output results with respect to the input.
机译:本发明的目的是从具有大量数据的一组图像数据中以高精度和高度确定性来识别特定对象的图像信息。提供一种构建方法,其中,调节执行机器学习的机器学习设备(1)的设置条件,并且构建对象识别装置(10),所述对象识别装置(10)从对象识别装置中识别具有预定特性的对象。通过将位置信息与各个图像信息相关联而获得的一组带有位置信息的图像数据。该构建方法包括提取步骤,设置步骤和调整步骤。在提取步骤中,基于与具有预定特性的对象有关的规则库,从具有位置信息的一组图像数据中提取图像。如果示出了具有预定特性的物体,则设置步骤将标签设置到所提取的图像。调整步骤将已经设置了标签的图像输入到机器学习设备,并且基于关于输入的输出结果,根据标签来调整设置条件。

著录项

  • 公开/公告号WO2018212023A1

    专利类型

  • 公开/公告日2018-11-22

    原文格式PDF

  • 申请/专利权人 DAIKIN INDUSTRIES LTD.;

    申请/专利号WO2018JP17819

  • 发明设计人 NARITAKE TSUYOSHI;

    申请日2018-05-08

  • 分类号G06F17/30;G06N3/02;G06N5/02;G06N99;

  • 国家 WO

  • 入库时间 2022-08-21 11:58:02

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