IMAGE LEARNING DEVICE FOR VISUAL INSPECTION AND VISUAL INSPECTION DEVICE

To provide an image learning device for visual inspection which can accelerate determination and simplify processing, and a visual inspection device using the same.SOLUTION: An image learning device for visual inspection having one learning unit in an image learning system for visual inspection whic...

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Bibliographic Details
Main Authors NONOMURA HIROYUKI, NISHIHARA ATSUSHI, SHIRASUGA KEIICHI, MORIMOTO TAKAO, KAGANO MIKI
Format Patent
LanguageEnglish
Japanese
Published 06.10.2022
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Summary:To provide an image learning device for visual inspection which can accelerate determination and simplify processing, and a visual inspection device using the same.SOLUTION: An image learning device for visual inspection having one learning unit in an image learning system for visual inspection which learns inspection information being an inspection result on whether or not the appearance of an article corresponding to image data for visual inspection of the article is either normal or abnormal by the different learning units for respective inspection points, comprises: an image input unit which receives input of the image data including a visual inspection spot of the article; and an inspection information input unit which receives input of inspection information being an inspection result on whether or not the appearance of the article corresponding to the image data is either normal or abnormal. The learning unit learns association between the article in at least one inspection point and the inspection result on the basis of the image data and the inspection information.SELECTED DRAWING: Figure 3 【課題】判定の高速化や処理の単純化ができる外観検査用画像学習装置、これを用いた外観検査装置を得ること。【解決手段】物品の外観検査をするための画像データに対応する前記物品の外観が正常又は異常のいずれかであるかの検査結果である検査情報を、検査する観点ごとに異なる学習部で学習する外観検査用画像学習システムにおける一の前記学習部を有する外観検査用画像学習装置であって、前記物品の外観検査箇所を含む前記画像データが入力される画像入力部と、前記画像データに対応する前記物品の外観が正常又は異常のいずれかであるかの検査結果である検査情報が入力される検査情報入力部とを備え、前記学習部は、前記画像データと前記検査情報とに基づいて、前記検査する観点の少なくとも一つにおける前記物品と前記検査結果とを関連付けを学習することを特徴とする。【選択図】 図3
Bibliography:Application Number: JP20210048499