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

IPC: G06T7/11 ,  G06V10/26

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.

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

IPC: G06V10/00 ,  G06T7/11 ,  G06V10/26

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.

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.

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

IPC: G06T7/11 ,  G06K9/34

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.

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.

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

IPC: G06T7/174 ,  G06K9/00 ,  G06N20/20 ,  G06N3/04 ,  A23L33/10

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.

公开(公告)号：USD956840S1

公开(公告)日：2022-07-05

申请号：US29694998

申请日：2019-06-14

Applicant: X Development LLC

Designer： Derek Werdenberg ,  Allen Richard Zhao ,  Phillip Yee ,  Joseph Hollis Sargent