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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：US11501443B2
公开(公告)日：2022-11-15
申请号：US17110141
申请日：2020-12-02
Applicant: X Development LLC
Inventor： Jie Yang , Cheng-en Guo , Zhiqiang Yuan , Elliott Grant , Hongxu Ma
IPC: G06T7/00 , A01D41/127 , G06T5/50 , G06T7/143 , G06N3/04 , G06N3/08 , G06Q10/04 , G06Q50/02 , G06V20/13 , G06V20/10
Abstract: Implementations relate to detecting/replacing transient obstructions from high-elevation digital images, and/or to fusing data from high-elevation digital images having different spatial, temporal, and/or spectral resolutions. In various implementations, first and second temporal sequences of high-elevation digital images capturing a geographic area may be obtained. These temporal sequences may have different spatial, temporal, and/or spectral resolutions (or frequencies). A mapping may be generated of the pixels of the high-elevation digital images of the second temporal sequence to respective sub-pixels of the first temporal sequence. A point in time at which a synthetic high-elevation digital image of the geographic area may be selected. The synthetic high-elevation digital image may be generated for the point in time based on the mapping and other data described herein.
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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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Patent Agency Ranking
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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公开(公告)号：US20220290989A1
公开(公告)日：2022-09-15
申请号：US17200023
申请日：2021-03-12
Applicant: X Development LLC
Inventor： Grigory Bronevetsky , Charlotte Leroy , Bin Ni , Hongxu Ma , Gengchen Mai
Abstract: Implementations are described herein for leveraging teleconnections and location embeddings to predict geospatial measures for a geographic location of interest. In various implementations, a plurality of reference geographic locations may be identified that are disparate from a geographic location of interest and influence a geospatial measure in the geographic location of interest. One or more features may be extracted from each of the plurality of reference geographic locations. The extracted features and a location embedding generated for the geographic location of interest may be encoded into a joint embedding. A sequence encoder may be applied to the joint embedding to generate encoded data indicative of the predicted geospatial measure.
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公开(公告)号：US20220120934A1
公开(公告)日：2022-04-21
申请号：US17567448
申请日：2022-01-03
Applicant: X Development LLC
Inventor： Hongxu Ma , Kunxiaojia Yuan , Fa Li , Charlotte Leroy , Grigory Bronevetsky
Abstract: Implementations are described herein for predicting a future climate condition in an agricultural area. In various implementations, a teleconnection model may be applied to a dataset of remote climate conditions such as water surface temperatures to identify one or more of the most influential remote climate conditions on the future climate condition in the agricultural area. A trained machine learning model may be applied to the one or more most influential remote climate conditions and to historical climate data for the agricultural area to generate data indicative of the predicted future climate condition. Based on the data indicative of the predicted future climate condition, one or more output components may be caused to render output that conveys the predicted future climate condition.
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公开(公告)号：US11243332B2
公开(公告)日：2022-02-08
申请号：US16911278
申请日：2020-06-24
Applicant: X Development LLC
Inventor： Hongxu Ma , Kunxiaojia Yuan , Fa Li , Charlotte Leroy , Grigory Bronevetsky
Abstract: Implementations are described herein for predicting a future climate condition in an agricultural area. In various implementations, a teleconnection model may be applied to a dataset of remote climate conditions such as water surface temperatures to identify one or more of the most influential remote climate conditions on the future climate condition in the agricultural area. A trained machine learning model may be applied to the one or more most influential remote climate conditions and to historical climate data for the agricultural area to generate data indicative of the predicted future climate condition. Based on the data indicative of the predicted future climate condition, one or more output components may be caused to render output that conveys the predicted future climate condition.
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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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