公开(公告)号：US20240320859A1

公开(公告)日：2024-09-26

申请号：US18579500

申请日：2021-07-26

Applicant: FANUC CORPORATION

Inventor： Yuuji KOUNOSU

IPC: G06T7/73

CPC classification number: G06T7/75 ,  G06T2207/20076 ,  G06T2207/20084 ,  G06T2207/30164

Abstract: An image processing device includes: a model storage unit storing a model for estimating, from image data, a first probability map indicating feature points of a workpiece in the image data, and a second probability map indicating areas between the feature points; an estimation unit estimating a first probability map and a second probability map on the basis of the image data using the model stored in the model storage unit; a feature point estimation unit estimating feature points of the same workpiece in the image data on the basis of the first probability map and the second probability map; a position and orientation estimation unit estimating the position and orientation of the workpiece in the image data on the basis of the result of the estimation by the feature point estimation unit; and an output unit outputting the result of the estimation by the position and orientation estimation unit.

公开(公告)号：US20230386014A1

公开(公告)日：2023-11-30

申请号：US18044993

申请日：2021-09-21

Applicant: FANUC CORPORATION

Inventor： Yuuji KOUNOSU

IPC: G06T7/00 ,  G01N21/88 ,  G06V10/774 ,  G06V20/70

CPC classification number: G06T7/0008 ,  G01N21/8851 ,  G06V10/774 ,  G06V20/70 ,  G06T2207/30164

Abstract: A model generation device generates a model used in visual inspection based on an image of a normal product. The model generation device generates abnormal image data by performing image processing on acquired normal image data, and generates label image data indicating an abnormal part based on the content of the image processing at that time. Then, the model generation device generates training data with the abnormal image data, as input data, and the normal image data and the label image data, as output data, and instructs a machine learning device to generate a learning model by performing machine learning based on the training data.

公开(公告)号：US20230274393A1

公开(公告)日：2023-08-31

申请号：US18245163

申请日：2021-09-21

Applicant: FANUC CORPORATION

Inventor： Yuuji KOUNOSU

IPC: G06T5/00 ,  G06T7/00

CPC classification number: G06T5/001 ,  G06T7/0002 ,  G06T2207/20081

Abstract: A model generation device generates a model used in visual inspection based on an image of a normal product. The model generation device acquires normal image data first, and then generates abnormal image data from the normal image data and instructs a machine learning device to generate a first model by machine learning based on the normal image data and the abnormal image data. Then, the model generation device instructs the machine learning device to estimate restored image data based on the abnormal image data, generates label image data indicating an abnormal part, and instructs the machine learning device to generate a second model by machine learning based on the abnormal image data, the restored image data, and the label image data.

公开(公告)号：US20230392985A1

公开(公告)日：2023-12-07

申请号：US18033070

申请日：2021-11-16

Applicant: FANUC CORPORATION

Inventor： Yuuji KOUNOSU

IPC: G01J3/46

CPC classification number: G01J3/462 ,  G01J2003/467

Abstract: The image processing device (during learning) converts RGB color space of an input image and a label image into CIELAB color space and performs learning using a color difference between an inferred image and the label image as an error. The image processing device (during inference) converts RGB color space of an input image into CIELAB color space and creates an inferred image using the CIELAB input image.

公开(公告)号：US20170371323A1

公开(公告)日：2017-12-28

申请号：US15611747

申请日：2017-06-01

Applicant: FANUC CORPORATION

Inventor： Itsusei KASHIWAGI ,  Nobutomo ITANI ,  Yuuji KOUNOSU

IPC: G05B19/418

Abstract: A cell controller in each manufacturing cell includes a manufacturing instruction determination part that determines the types of manufacturable parts to be preferentially manufactured and the number of parts to be manufactured, based on order information and inventory information that are stored in the storage part of an administrative server, the manufacturing instruction determination part indicating the determination to a drive controller. In a cell production system configured thus, each manufacturing cell can timely manufacture multiple types of parts according to a status change of, for example, a part order or the inventory of materials.