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公开(公告)号:EP4416493A1
公开(公告)日:2024-08-21
申请号:EP22802204.2
申请日:2022-10-10
Applicant: Safran Helicopter Engines
Inventor: VERNAULT, Cyril Roger , ANSSEMS, Lucie , BESOMBES, Mariane Erika Michèle , GAULHET, Manon Paule Jeanne
CPC classification number: G01N33/204 , G06T7/0004 , G06T2207/1005620130101 , G06T2207/3016420130101 , G06T2207/3013620130101 , G01N21/8422 , G01N2021/842720130101 , G01N1/286
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公开(公告)号:EP4423726A1
公开(公告)日:2024-09-04
申请号:EP22888484.7
申请日:2022-10-27
Applicant: Mectron Engineering Company, Inc.
Inventor: HANNA, Andrew
CPC classification number: G06T7/0006 , G06T2207/1001620130101 , G06T2207/3016420130101 , G06T2207/3013620130101
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公开(公告)号:EP4213091B1
公开(公告)日:2024-08-14
申请号:EP22151483.9
申请日:2022-01-14
IPC: G06T7/00
CPC classification number: G06T2207/3016420130101 , G06T2207/3010820130101 , G06T2207/2008120130101 , G06T2207/2008420130101 , G06T7/0004 , G06T2207/3013620130101
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公开(公告)号:EP4428488A1
公开(公告)日:2024-09-11
申请号:EP23805834.1
申请日:2023-05-05
Applicant: Contemporary Amperex Technology Co., Limited
Inventor: HUANG, Zhongbao , WANG, Zhongyang
CPC classification number: B60K1/04 , B60L50/60 , G01B11/00 , G01B11/16 , G01B11/06 , G01B11/24 , G01B11/26 , G06T7/00 , H01R43/16 , G06T7/0004 , G06T2207/3013620130101
Abstract: This application provides a connecting piece quality inspection method and quality inspection apparatus, a connecting piece production method, a connecting piece production device, an electronic device, and a computer readable storage medium. The connecting piece includes a piece body and a bulge protruding from the piece body. The connecting piece quality inspection method includes: obtaining an inspection image of the connecting piece, where the inspection image covers the bulge; determining, in the inspection image, position information of a reference contour of the bulge and position information of an inspection contour of the bulge, where the reference contour is a contour of a mouth portion of the bulge co-planar with the piece body, and the inspection contour is a contour of a bottom portion of the bulge away from the piece body; and determining a quality inspection result of the connecting piece based on the position information of the reference contour and the position information of the inspection contour.
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公开(公告)号:EP4423710A1
公开(公告)日:2024-09-04
申请号:EP22801822.2
申请日:2022-10-14
Applicant: Hilti Aktiengesellschaft
Inventor: SESSINGHAUS, Nadine , HELMBERGER, Michael , CONWAY, Alex
CPC classification number: G06T7/001 , G06T7/11 , G06T7/194 , G06T2207/2008420130101 , G06T2207/3013620130101 , G06T2207/3016420130101 , G06T2207/3020420130101 , G06T2207/3024220130101
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公开(公告)号:EP4418205A1
公开(公告)日:2024-08-21
申请号:EP24153485.8
申请日:2024-01-23
Applicant: Baker Hughes Holdings LLC
Inventor: GEORGE, Sheri , GRAULS, Johan
IPC: G06T7/00
CPC classification number: G06T7/0004 , G06T2207/3010820130101 , G06T2207/1011620130101 , G01N23/18 , G06T2207/3013620130101 , G06T2207/2008420130101 , G06T2207/2008120130101 , G01N23/04
Abstract: A method for generating a recommendation based on welding defects. The method includes receiving, from an imaging device, an inspection image of a target object, determining an inspection thickness of the target object based on the inspection image, converting into a multilevel thresholded thickness map based on a particular sensitivity, determining a defect of the target object based on the inspection thickness, quantifying and characterizing the defect, determining a critical level of the defect of the target object by comparing a parameter of the defect to a critical threshold and generating a recommendation based on the critical level.
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公开(公告)号:EP4394693A1
公开(公告)日:2024-07-03
申请号:EP22217219.9
申请日:2022-12-29
Applicant: Leonardo S.p.a.
Inventor: CALABRO', Francesco , MESSINA, Francesco , SANGUINI, Roberto
CPC classification number: G06T7/0004 , G06T7/11 , G06T2207/1000420130101 , G06T2207/2008120130101 , G06T2207/2008420130101 , G06T2207/3013620130101 , G06T2207/3015620130101 , G06T2207/3016420130101 , G06N3/084 , G06T2207/1004820130101 , G06T2207/1003620130101 , G06V10/82 , G06V10/58 , G06V10/143 , G06N3/045
Abstract: Method implemented by computer (16) for detecting a damage to a component (1), including: applying (212) a first neural network (40) to at least one multispectral image (25) of the component (1), formed by a plurality of images (30) of the component (1) in corresponding spectral bands, to generate a corresponding mask (62), which includes a respective plurality of pixels, each pixel of the mask (62) being relative to a corresponding portion of the component (1), the first neural network (40) being further such that each pixel of the mask (62) represents a corresponding first-level estimate, which is indicative of a probability that the portion of the component (1) to which the pixel refers is damaged; applying a second neural network (70) to a data structure (65) that is a function of the mask (62), to generate a second-level estimate (999), which is indicative of a probability that the component (1) is damaged; and detecting (228) whether the component (1) is healthy or damaged, based on the second-level estimate (999).
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公开(公告)号:EP4209993B1
公开(公告)日:2024-10-02
申请号:EP21958589.0
申请日:2021-10-26
IPC: G06T7/00
CPC classification number: G06T7/001 , G06T2207/1002420130101 , G06T2207/1002820130101 , G06T2207/3013620130101 , G06T2207/3015220130101 , G06T2207/2008120130101 , G06T2207/2008420130101
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公开(公告)号:EP4399675A1
公开(公告)日:2024-07-17
申请号:EP22762073.9
申请日:2022-08-10
Applicant: Bayerische Motoren Werke Aktiengesellschaft
Inventor: CRAIGHERO, Philipp
CPC classification number: G06T7/0004 , G06T7/64 , G06T2207/1002820130101 , G06T2207/3013620130101 , G06T2207/3016420130101
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公开(公告)号:EP4361949A1
公开(公告)日:2024-05-01
申请号:EP23203037.9
申请日:2023-10-11
Applicant: Doosan Enerbility Co., Ltd.
Inventor: Yu, Jun Sang , Lee, Jung Min
IPC: G06T7/00
CPC classification number: G06T7/001 , G06T2207/1006120130101 , G06T2207/2008120130101 , G06T2207/3013620130101
Abstract: Disclosed is a degradation prediction device predicting a lifetime of a target material, including: at least one processor, and the at least one processor is configured to train a degradation index prediction model based on the representative value of a degradation index of a material by environmental conditions and the environmental information of a material subjected to a destructive testing, train a LMP (Larson-Miller Parameter) value prediction model based on the representative value of a degradation index of a material by environmental conditions and a theoretical value of LMP at a destructive testing, predict a degradation index for a target material using the degradation index prediction model for which training is completed based on environmental information of the target material and predict a LMP value of the target material using the LMP value prediction model for which training is completed based on the predicted degradation index.
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