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公开(公告)号：US20230027514A1
公开(公告)日：2023-01-26
申请号：US17383293
申请日：2021-07-22
Applicant: X Development LLC
Inventor： Hongxu Ma , Allen Richard Zhao , Cyrus Behroozi , Derek Werdenberg , Jie Jacquot , Vadim Tschernezki
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for image segmentation and chemical analysis using machine learning. In some implementations, a system obtains a hyperspectral image that includes a representation of an object. The system segments the hyperspectral image to identify regions of a particular type on the object. The system generates a set of feature values derived from image data for different wavelength bands that is located in the hyperspectral image in the identified regions of the particular type. The system generates a prediction of a level of one or more chemicals in the object based on an output produced by a machine learning model in response to the set of feature values being provided as input to the machine learning model. The system provides data indicating the prediction of the level of the one or more chemicals in the object.
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公开(公告)号：US11995842B2
公开(公告)日：2024-05-28
申请号：US17383293
申请日：2021-07-22
Applicant: X Development LLC
Inventor： Hongxu Ma , Allen Richard Zhao , Cyrus Behroozi , Derek Werdenberg , Jie Jacquot , Vadim Tschernezki
IPC: G06V20/68 , A23L33/10 , G06N3/04 , G06N5/01 , G06N20/20 , G06T7/11 , G06T7/12 , G06T7/174 , G06V20/13 , G06V20/10
CPC classification number: G06T7/174 , A23L33/10 , G06N3/04 , G06N20/20 , G06V20/13 , A23V2002/00 , G06T2207/10036 , G06T2207/30128 , G06V20/194
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for image segmentation and chemical analysis using machine learning. In some implementations, a system obtains a hyperspectral image that includes a representation of an object. The system segments the hyperspectral image to identify regions of a particular type on the object. The system generates a set of feature values derived from image data for different wavelength bands that is located in the hyperspectral image in the identified regions of the particular type. The system generates a prediction of a level of one or more chemicals in the object based on an output produced by a machine learning model in response to the set of feature values being provided as input to the machine learning model. The system provides data indicating the prediction of the level of the one or more chemicals in the object.
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公开(公告)号：US11620804B2
公开(公告)日：2023-04-04
申请号：US17834269
申请日：2022-06-07
Applicant: X Development LLC
Inventor： Jie Jacquot , Hongxu Ma , Allen Richard Zhao , Vadim Tschernezki , Ronald Votel
Abstract: Methods, systems, apparatus, and computer-readable media for data band selection using machine learning. In some implementations, image data comprising information for each of multiple wavelength bands is obtained. A multi-layer neural network is trained using the image data to perform one or more classification or regression tasks. A proper subset of the wavelength bands is selected based on parameters of a layer of the trained multi-layer neural network, where the parameters were determined through training of the multi-layer neural network using the image data. Output is provided indicating that the selected wavelength bands are selected for the one or more classification or regression tasks.
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公开(公告)号：US20230026234A1
公开(公告)日：2023-01-26
申请号：US17383278
申请日：2021-07-22
Applicant: X Development LLC
Inventor： Hongxu Ma , Allen Richard Zhao , Cyrus Behroozi , Derek Werdenberg , Jie Jacquot , Vadim Tschernezki
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for improved image segmentation using hyperspectral imaging. In some implementations, a system obtains image data of a hyperspectral image, the image data comprising image data for each of multiple wavelength bands. The system accesses stored segmentation profile data for a particular object type that indicates a predetermined subset of the wavelength bands designated for segmenting different region types for images of an object of the particular object type. The system segments the image data into multiple regions using the predetermined subset of the wavelength bands specified in the stored segmentation profile data to segment the different region types. The system provides output data indicating the multiple regions and the respective region types of the multiple regions.
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公开(公告)号：US20230023641A1
公开(公告)日：2023-01-26
申请号：US17811766
申请日：2022-07-11
Applicant: X Development LLC
Inventor： Daniel Rosenfeld , Alexander Holiday , Gearoid Murphy , Allen Richard Zhao , Hongxu Ma , Cyrus Behroozi , Derek Werdenberg , Jie Jacquot , Vadim Tschernezki
IPC: G06V10/58 , G06V10/60 , G06V10/82 , G06V10/147 , G06V10/143 , G06V10/26 , G06V10/764 , H04N5/33 , G01N21/84 , B07C5/342
Abstract: Image data is obtained that indicates an extent to which one or more objects reflect, scatter, or absorb light at each of multiple wavelength bands, where the image data was collected while a conveyor belt was moving the object(s). The image data is preprocessed by performing an analysis across frequencies and/or performing an analysis across a representation of a spatial dimension. A set of feature values is generated using the image preprocessed image data. A machine-learning model generates an output using to the feature values. A prediction of an identity of a chemical in the one or more objects or a level of one or more chemicals in the object(s) is generated using the output. Data is output indicating the prediction of the identity of the chemical in the object(s) or the level of the one or more chemicals in at least one of the one or more objects.
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Patent Agency Ranking
公开(公告)号：US20240412375A1
公开(公告)日：2024-12-12
申请号：US18676307
申请日：2024-05-28
Applicant: X Development LLC
Inventor： Hongxu Ma , Allen Richard Zhao , Cyrus Behroozi , Derek Werdenberg , Jie Jacquot , Vadim Tschernezki
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for improved image segmentation using hyperspectral imaging. In some implementations, a system obtains image data of a hyperspectral image, the image data comprising image data for each of multiple wavelength bands. The system accesses stored segmentation profile data for a particular object type that indicates a predetermined subset of the wavelength bands designated for segmenting different region types for images of an object of the particular object type. The system segments the image data into multiple regions using the predetermined subset of the wavelength bands specified in the stored segmentation profile data to segment the different region types. The system provides output data indicating the multiple regions and the respective region types of the multiple regions.
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公开(公告)号：US12033405B1
公开(公告)日：2024-07-09
申请号：US18297342
申请日：2023-04-07
Applicant: X Development LLC
Inventor： Vadim Tschernezki , Lance Co Ting Keh , Hongxu Ma , Allen Richard Zhao , Jie Jacquot
IPC: G06V20/64 , G06F18/214 , G06F18/2413 , G06N3/08 , G06N20/00
CPC classification number: G06V20/64 , G06F18/214 , G06F18/2413 , G06N3/08 , G06N20/00
Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer storage medium, for machine learning classification based on separate processing of multiple views. In some implementations, a system obtains image data for multiple images showing different views of an object. A machine learning model is used to generate a separate output based on each the multiple images individually. The outputs for the respective images are combined to generate a combined output. A predicted characteristic of the object is determined based on the combined output. An indication of the predicted characteristic of the object is provided.
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公开(公告)号：US12033329B2
公开(公告)日：2024-07-09
申请号：US17383278
申请日：2021-07-22
Applicant: X Development LLC
Inventor： Hongxu Ma , Allen Richard Zhao , Cyrus Behroozi , Derek Werdenberg , Jie Jacquot , Vadim Tschernezki
CPC classification number: G06T7/11 , G06V10/26 , G06T2207/10036 , G06T2207/20224
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for improved image segmentation using hyperspectral imaging. In some implementations, a system obtains image data of a hyperspectral image, the image data comprising image data for each of multiple wavelength bands. The system accesses stored segmentation profile data for a particular object type that indicates a predetermined subset of the wavelength bands designated for segmenting different region types for images of an object of the particular object type. The system segments the image data into multiple regions using the predetermined subset of the wavelength bands specified in the stored segmentation profile data to segment the different region types. The system provides output data indicating the multiple regions and the respective region types of the multiple regions.
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公开(公告)号：US11651602B1
公开(公告)日：2023-05-16
申请号：US17060002
申请日：2020-09-30
Applicant: X Development LLC
Inventor： Vadim Tschernezki , Lance Co Ting Keh , Hongxu Ma , Allen Richard Zhao , Jie Jacquot
CPC classification number: G06V20/64 , G06K9/627 , G06K9/6256 , G06N3/08 , G06N20/00
Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer storage medium, for machine learning classification based on separate processing of multiple views. In some implementations, a system obtains image data for multiple images showing different views of an object. A machine learning model is used to generate a separate output based on each the multiple images individually. The outputs for the respective images are combined to generate a combined output. A predicted characteristic of the object is determined based on the combined output. An indication of the predicted characteristic of the object is provided.
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公开(公告)号：US20220383606A1
公开(公告)日：2022-12-01
申请号：US17834269
申请日：2022-06-07
Applicant: X Development LLC
Inventor： Jie Jacquot , Hongxu Ma , Allen Richard Zhao , Vadim Tschernezki , Ronald Votel
Abstract: Methods, systems, apparatus, and computer-readable media for data band selection using machine learning. In some implementations, image data comprising information for each of multiple wavelength bands is obtained. A multi-layer neural network is trained using the image data to perform one or more classification or regression tasks. A proper subset of the wavelength bands is selected based on parameters of a layer of the trained multi-layer neural network, where the parameters were determined through training of the multi-layer neural network using the image data. Output is provided indicating that the selected wavelength bands are selected for the one or more classification or regression tasks.
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