Fish measurement station keeping
    11.
    发明授权

    公开(公告)号:US12223723B2

    公开(公告)日:2025-02-11

    申请号:US17391392

    申请日:2021-08-02

    Applicant: TidalX AI Inc

    Abstract: A fish monitoring system deployed in a particular area to obtain fish images is described. Neural networks and machine-learning techniques may be implemented to periodically train fish monitoring systems and generate monitoring modes to capture high quality images of fish based on the conditions in the determined area. The camera systems may be configured according to the settings, e.g., positions, viewing angles, specified by the monitoring modes when conditions matching the monitoring modes are detected. Each monitoring mode may be associated with one or more fish activities, such as sleeping, eating, swimming alone, and one or more parameters, such as time, location, and fish type.

    Automated camera positioning for feeding behavior monitoring

    公开(公告)号:US12192634B2

    公开(公告)日:2025-01-07

    申请号:US18206542

    申请日:2023-06-06

    Applicant: TidalX AI Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for automated camera positioning for feeding behavior monitoring. In some implementations, a system obtains an image of a scene, a spatial model that corresponds to a subfeeder, and calibration parameters of a camera, the system determines a size of the subfeeder in the image of the scene, the system selects an updated position of the camera relative to the subfeeder, the system provides the updated position of the camera relative to the subfeeder to a winch controller, and the system moves the camera to the updated position.

    Image processing-based weight estimation for aquaculture

    公开(公告)号:US12131568B2

    公开(公告)日:2024-10-29

    申请号:US18189974

    申请日:2023-03-24

    Applicant: TidalX AI Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for fish weight estimation based on fish tracks identified in images. In some implementations, a method includes obtaining images of fish enclosed in a fish enclosure, identifying fish tracks shown in the images of the fish, determining a quality score for each of the fish tracks, selecting a subset of the fish tracks based on the quality scores, determining a representative weight of the fish in the fish enclosure based on weights of the fish shown in the subset of the fish tracks, and outputting the representative weight for display or storage at a device connected to the one or more processors.

    Underwater camera as light sensor
    14.
    发明授权

    公开(公告)号:US12078533B2

    公开(公告)日:2024-09-03

    申请号:US17337004

    申请日:2021-06-02

    Applicant: TidalX AI Inc.

    CPC classification number: G01J1/4204 G01B11/22 G01J1/18 G01J1/44

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that automatically performs actions in an aquaculture environment based on light sensed by underwater cameras. One of the methods includes obtaining images of a surface of water captured by a camera that faces upwards from a depth towards the surface of the water within an enclosure that encloses aquatic livestock. An ambient light metric is determined at the depth from the images of the surface of the water. A determination is made as to whether the camera satisfies one or more depth criteria. Based on determining that the depth of the camera satisfies the one or more depth criteria, it is determined that, based on the ambient light metric at the depth, one or more action criteria are satisfied, then initiating performance of an action to be performed for the aquatic livestock.

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