公开(公告)号：US12254712B2

公开(公告)日：2025-03-18

申请号：US17716797

申请日：2022-04-08

Applicant: TidalX AI Inc

Inventor： Julia Black Ling ,  Laura Valentine Chrobak

IPC: G06V40/10 ,  G06Q50/02 ,  G06T7/62

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for monocular underwater camera biomass estimation. In some implementations, an exemplary method includes obtaining an image of a fish captured by a monocular underwater camera; providing the image of the fish to a depth perception model; obtaining output of the depth perception model indicating a depth-enhanced image of the fish data in the image; determining a biomass value estimate of the fish based on the output; and determining an action based on one or more biomass values estimates including the biomass value estimate of the fish.

公开(公告)号：US12279599B2

公开(公告)日：2025-04-22

申请号：US18349449

申请日：2023-07-10

Applicant: TidalX AI Inc

Inventor： Laura Valentine Chrobak ,  Peter Kimball ,  Barnaby John James ,  Julia Black Ling

IPC: A01K61/95 ,  A23K50/80 ,  G01N21/53 ,  G01N33/18 ,  G06F18/22 ,  G06N20/00 ,  G06V40/10

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that generate from a first pair and a second pair of images of livestock that are within an enclosure and that are taken at different times using a stereoscopic camera, at least two distance distributions of the aquatic livestock within the enclosure. The distance distributions can be used to determine a measure associated with an optical property of the water within the enclosure. A signal associated with the measure can be provided.

公开(公告)号：US12229937B2

公开(公告)日：2025-02-18

申请号：US18490383

申请日：2023-10-19

Applicant: TidalX AI Inc.

Inventor： Julia Black Ling ,  Laura Valentine Chrobak

IPC: G06T7/00 ,  A01K61/95 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for underwater camera biomass prediction aggregation. In some implementations, an exemplary method includes obtaining images of fish captured by an underwater camera; providing data of the images to a trained model; obtaining output of the trained model indicating the likelihoods that the biomass of fish are within multiple ranges; combining likelihoods of the output based on one or more ranges common to likelihoods of two or more fish to generate a biomass distribution; and determining an action based on the biomass distribution.