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公开(公告)号：US20230326007A1
公开(公告)日：2023-10-12
申请号：US18181981
申请日：2023-03-10
申请人： BNSF Railway Company
IPC分类号： G06T7/00 , G06T7/11 , G06N20/00 , G06F18/2431 , G06V10/764 , G06V10/82
CPC分类号： G06T7/0004 , G06T7/11 , G06N20/00 , G06F18/2431 , G06V10/764 , G06V10/82 , G06T2207/20132
摘要： In one embodiment, a method includes receiving, by a defect detector module, an image of a physical object and classifying, by the defect detector module, one or more first features from the image of the physical object into one or more first classifications using one or more machine learning algorithms. The method further includes analyzing, by the defect detector module, the one or more first classifications and determining, by the defect detector module, that the physical object comprises a defect based on analyzing the one or more first classifications.
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公开(公告)号：US11620743B2
公开(公告)日：2023-04-04
申请号：US17194954
申请日：2021-03-08
申请人： BNSF Railway Company
摘要： In one embodiment, a method includes receiving, by a defect detector module, an image of a physical object and classifying, by the defect detector module, one or more first features from the image of the physical object into one or more first classifications using one or more machine learning algorithms. The method further includes analyzing, by the defect detector module, the one or more first classifications and determining, by the defect detector module, that the physical object comprises a defect based on analyzing the one or more first classifications.
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公开(公告)号：US20200160505A1
公开(公告)日：2020-05-21
申请号：US16196990
申请日：2018-11-20
申请人： BNSF Railway Company
摘要： In one embodiment, a method includes receiving, by a defect detector module, an image of a physical object and classifying, by the defect detector module, one or more first features from the image of the physical object into one or more first classifications using one or more machine learning algorithms. The method further includes analyzing, by the defect detector module, the one or more first classifications and determining, by the defect detector module, that the physical object comprises a defect based on analyzing the one or more first classifications.
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公开(公告)号：US12033312B2
公开(公告)日：2024-07-09
申请号：US18181981
申请日：2023-03-10
申请人： BNSF Railway Company
IPC分类号： G06T7/00 , G06F18/2431 , G06N20/00 , G06T7/11 , G06V10/764 , G06V10/82
CPC分类号： G06T7/0004 , G06F18/2431 , G06N20/00 , G06T7/11 , G06V10/764 , G06V10/82 , G06T2207/20132
摘要： In one embodiment, a method includes receiving, by a defect detector module, an image of a physical object and classifying, by the defect detector module, one or more first features from the image of the physical object into one or more first classifications using one or more machine learning algorithms. The method further includes analyzing, by the defect detector module, the one or more first classifications and determining, by the defect detector module, that the physical object comprises a defect based on analyzing the one or more first classifications.
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公开(公告)号：US20210192716A1
公开(公告)日：2021-06-24
申请号：US17194954
申请日：2021-03-08
申请人： BNSF Railway Company
摘要： In one embodiment, a method includes receiving, by a defect detector module, an image of a physical object and classifying, by the defect detector module, one or more first features from the image of the physical object into one or more first classifications using one or more machine learning algorithms. The method further includes analyzing, by the defect detector module, the one or more first classifications and determining, by the defect detector module, that the physical object comprises a defect based on analyzing the one or more first classifications.
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公开(公告)号：US10984521B2
公开(公告)日：2021-04-20
申请号：US16196990
申请日：2018-11-20
申请人： BNSF Railway Company
摘要： In one embodiment, a method includes receiving, by a defect detector module, an image of a physical object and classifying, by the defect detector module, one or more first features from the image of the physical object into one or more first classifications using one or more machine learning algorithms. The method further includes analyzing, by the defect detector module, the one or more first classifications and determining, by the defect detector module, that the physical object comprises a defect based on analyzing the one or more first classifications.
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