公开(公告)号：US20240061321A1

公开(公告)日：2024-02-22

申请号：US18451706

申请日：2023-08-17

Applicant: X Development LLC

Inventor： Anne LaBine ,  Samuel Gregory ,  Bianca Bahman ,  Terry Allan Smith

IPC: G03B17/08 ,  H04N23/66 ,  H04N23/695 ,  H04N23/51 ,  H04N23/90 ,  G03B17/56 ,  B63G8/38

CPC classification number: G03B17/08 ,  H04N23/66 ,  H04N23/695 ,  H04N23/51 ,  H04N23/90 ,  G03B17/561 ,  B63G8/38

Abstract: An underwater camera system includes a camera assembly configured to scan a seabed while submerged under water and moving in a direction of travel. A buoyant support is coupled to the camera assembly and configured to position the camera assembly under water during the moving in the direction of travel. A stabilization assembly is coupled to the camera assembly and configured for adjusting an orientation of the camera assembly relative to the direction of travel.

公开(公告)号：US20240354666A1

公开(公告)日：2024-10-24

申请号：US18465016

申请日：2023-09-11

Applicant: X Development LLC

Inventor： Antoni Jordi Ballester ,  Bertrand Louis Rene Delorme ,  Alexandre Szenicer ,  Julia Black Ling ,  Bianca Bahman ,  Yangli Hector Yee

IPC: G06Q10/047 ,  G06Q10/083

CPC classification number: G06Q10/047 ,  G06Q10/083

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining elements of a shipping network. One of the methods includes obtaining environmental input data, wherein the environmental input data includes weather forecast data; providing the environmental input data to a circulation model; and providing output environmental condition from the circulation model to a machine learning model trained to generate a route for a ship.

公开(公告)号：US20240062539A1

公开(公告)日：2024-02-22

申请号：US18453240

申请日：2023-08-21

Applicant: X Development LLC

Inventor： Yangli Hector Yee ,  Terry Allan Smith ,  Bianca Bahman

IPC: G06V20/05 ,  G06V20/10 ,  G06T17/05 ,  G06T7/62

CPC classification number: G06V20/05 ,  G06V20/188 ,  G06T17/05 ,  G06T7/62 ,  G06T2207/10028

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for aquatic biomass estimation. One of the methods includes obtaining an image of an aquatic environment including aquatic grass; providing the image to a network model trained to construct a point cloud indicating a portion of the image that represents the aquatic grass; generating a floor model indicating a floor of the aquatic environment where the aquatic grass grows; identifying, using (i) the floor model and (ii) the point cloud indicating the aquatic grass, (i) a first subset of points in the point cloud as indicating aquatic grass and (ii) a second subset of points in the point cloud as indicating the floor of the aquatic environment; and generating, using the first subset of points in the point cloud, an indication of biomass within the aquatic environment.

公开(公告)号：US20240062538A1

公开(公告)日：2024-02-22

申请号：US18234528

申请日：2023-08-16

Applicant: X Development LLC

Inventor： Bianca Bahman ,  Bertrand Louis Rene Delorme ,  Antoni Jordi Ballester

IPC: G06V20/05 ,  G06V40/10 ,  A01K61/95 ,  A01K61/80

CPC classification number: G06V20/05 ,  G06V40/10 ,  A01K61/95 ,  A01K61/80

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for obtaining a plurality of images from at least one imaging device in an aquaculture environment and determining a statistical distribution of the livestock in the aquaculture environment from the plurality of images. Based on the statistical distribution, a location of a thermocline in the aquaculture environment can be determined. A signal indicative of the location of the thermocline can be provided to an aquaculture management device in the aquaculture environment.

公开(公告)号：US20240062114A1

公开(公告)日：2024-02-22

申请号：US18452044

申请日：2023-08-18

Applicant: X Development LLC

Inventor： Bertrand Louis Rene Delorme ,  Alexandre Szenicer ,  Antoni Jordi Ballester ,  Bianca Bahman ,  Julia Black Ling

IPC: G06N20/00 ,  B64G1/10 ,  A01G33/00

CPC classification number: G06N20/00 ,  B64G1/1021 ,  A01G33/00 ,  G06Q50/02

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting features of an aquatic ecosystem. One of the methods includes generating, using ground truth data, first training input, wherein the first training input includes training labels; generating an augmented dataset from multiple data sources as second training input, wherein the augmented dataset is generated using (i) bathymetric data and (ii) simulated data based on satellite data indicating one or more coastal ecosystems; and training the machine learning model using (i) the first training input and (ii) second training input, such that the machine learning model is trained to predict biomass growth.