公开(公告)号：US20230334644A1

公开(公告)日：2023-10-19

申请号：US18212025

申请日：2023-06-20

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Takanobu OJIMA ,  Jeffry NAINGGOLAN ,  Hideto MOTOMURA

IPC: G06T7/00 ,  G06T7/50 ,  G06T7/90 ,  G06T7/40 ,  G01N21/88 ,  G01N21/25 ,  H04N23/56 ,  H04N23/60 ,  H04N23/90

CPC classification number: G06T7/0004 ,  G06T7/50 ,  G06T7/90 ,  G06T7/40 ,  G01N21/8806 ,  G01N21/251 ,  H04N23/56 ,  H04N23/60 ,  H04N23/90 ,  G06T2207/10024 ,  G06T2207/30156 ,  G06T2207/30248 ,  G01N21/94

Abstract: An inspection system includes an acquisition unit and a determination unit. The acquisition unit acquires an image representing a surface of an object. The determination unit performs color determination processing. The color determination processing is performed to determine a color of the surface of the object based on a plurality of conditions of reflection. The plurality of conditions of reflection are obtained from the image representing the surface of the object as acquired by the acquisition unit, and have a specular reflection component and a diffuse reflection component at respectively different ratios on the surface of the object.

公开(公告)号：US20240248464A1

公开(公告)日：2024-07-25

申请号：US18561559

申请日：2022-03-15

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Jeffry NAINGGOLAN ,  Yuya SUGASAWA ,  Hisaji MURATA ,  Yoshinori SATOU

IPC: G05B19/418

CPC classification number: G05B19/41875 ,  G05B2219/32222

Abstract: A defect prediction system includes an acquirer, a defect-related number predictor, and a cause predictor. The defect-related number predictor predicts, based on a past defect-related number acquired by the acquirer, a future defect-related number of a product with respect to each of a plurality of production lines in each of a plurality of process steps. The cause predictor predicts, based on the future defect-related number predicted by the defect-related number predictor with respect to each of the plurality of production lines in each of the plurality of process steps, which of the plurality of production lines a cause of an increase in a total future defect-related number is attributable to.

公开(公告)号：US20240054397A1

公开(公告)日：2024-02-15

申请号：US18255034

申请日：2021-10-14

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Jeffry NAINGGOLAN ,  Yuya SUGASAWA ,  Hisaji MURATA ,  Yoshinori SATOU ,  Hisashi AIKAWA

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A processing system includes a first acquirer, a second acquirer, a third acquirer, an identifier, and an extractor. The first acquirer is configured to acquire a plurality of pieces of learning data to which labels have been assigned. The second acquirer is configured to acquire a learned model generated based on the plurality of pieces of learning data. The third acquirer is configured to acquire identification data to which a label has been assigned. The identifier is configured to identify the identification data on a basis of the learned model. The extractor is configured to extract, based on an index which is applied in the learned model and which relates to similarity between the identification data and each of the plurality of pieces of learning data, one or more pieces of learning data similar to the identification data from the plurality of pieces of learning data.

公开(公告)号：US20250117919A1

公开(公告)日：2025-04-10

申请号：US18834461

申请日：2023-01-17

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Yuya SUGASAWA ,  Hisaji MURATA ,  Jeffry NAINGGOLAN

IPC: G06T7/00

Abstract: A processing system includes an output processor which outputs criterion information applicable to an inspection algorithm. The criterion information includes information about a decision boundary to be defined based on identification results obtained by a plurality of identification algorithms that are different from each other. The decision boundary is used as a criterion for determining, by the inspection algorithm, whether the category of a target is a first category or a second category. Each of the plurality of identification algorithms identifies the category with respect to each of the plurality of image data sets. The decision boundary is a convex hull boundary to be defined based on a set of corresponding identification results, belonging to the identification results, about an image data set, to which a label indicating the second category is attached, out of the plurality of image data sets.

公开(公告)号：US20240183793A1

公开(公告)日：2024-06-06

申请号：US18553827

申请日：2022-02-25

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Jeffry NAINGGOLAN ,  Yuya SUGASAWA ,  Hisaji MURATA ,  Yoshinori SATOU

IPC: G01N21/88

CPC classification number: G01N21/8851 ,  G01N2021/8877 ,  G01N2021/8887

Abstract: An inspection device includes an input portion and a determining portion. The input portion is configured to receive an input of an image taken of an object. The determining portion is configured to execute a first process on each of a plurality of inspection regions including a first inspection region and a second inspection region. The first process is a process relating to a determination as to quality of the object based on the image. The first inspection region includes a specific region not included in an inspection region other than the first inspection region of the plurality of inspection regions. The determining portion is configured to execute a second process. The second process is a process of determining, based on a result of the first process executed on each of the plurality of inspection regions, the quality of the object.