Sensor positioning system
    1.
    发明授权

    公开(公告)号:US12193418B2

    公开(公告)日:2025-01-14

    申请号:US17706862

    申请日:2022-03-29

    Applicant: TidalX AI Inc.

    Abstract: A sensor positioning system, includes an actuation server for communicating with components of the sensor positioning system. The sensor positioning system additionally includes a first actuation system and a second actuation system, wherein each actuation system includes a pulley system for maneuvering an underwater sensor system. The sensor positioning system includes a dual point attachment bracket that connects through a first line to the first actuation system and connecting through a second line to the second actuation system. The underwater sensor system is affixed to the first pulley system, the second pulley system, and the dual attachment bracket through the first line and the second line.

    Framework for controlling devices

    公开(公告)号:US12077263B2

    公开(公告)日:2024-09-03

    申请号:US17347452

    申请日:2021-06-14

    Applicant: TidalX AI Inc.

    CPC classification number: B63B45/00 A01K61/95 B63B79/10 G05B13/028

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that control devices in an aquaculture environment. One of the methods includes determining a particular objective for a robot that is operating in an aquaculture environment and determining one or more sensed conditions that are associated with the aquaculture environment. The particular objective is provided to an anti-fish-startling model evaluation engine that is configured to output actions, for a given objective, that accomplish the given objective while reducing a startling effect on nearby fish. Based on providing the particular objective to the anti-fish-startling model evaluation engine, one or more particular actions for accomplishing the particular objective are determined. The one or more particular actions are transmitted to another device.

    IMAGE PROCESSING-BASED WEIGHT ESTIMATION FOR AQUACULTURE

    公开(公告)号:US20250157245A1

    公开(公告)日:2025-05-15

    申请号:US18812258

    申请日:2024-08-22

    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.

    Visual detection of haloclines
    6.
    发明授权

    公开(公告)号:US12277722B2

    公开(公告)日:2025-04-15

    申请号:US17749613

    申请日:2022-05-20

    Applicant: TidalX AI Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for visually detecting a halocline. In some implementations, a method includes moving a camera through different depths of water within a fish enclosure, capturing, at the different depths, images of fish, determining that changes in focus in the images correspond to changes in depth that the images were captured, and based on determining that the changes in focus in the images correspond to the changes in depths that the images were captured, detecting a halocline at a particular depth.

    ANALYSIS AND SORTING IN AQUACULTURE

    公开(公告)号:US20250022250A1

    公开(公告)日:2025-01-16

    申请号:US18755380

    申请日:2024-06-26

    Applicant: TidalX AI Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for sorting fish in aquaculture. In some implementations, one or more images are obtained of a particular fish within a population of fish. Based on the one or more images of the fish, a data element is determined. The data element can include a first value that reflects a physical characteristic of the particular fish, and a second value that reflects a condition factor of the particular fish. Based on the data element, the fish is classified as a member of a particular subpopulation of the population of fish. An actuator of an automated fish sorter is controlled based on classifying the particular fish as a member of the particular subpopulation of the population of fish.

    Fish measurement station keeping
    8.
    发明授权

    公开(公告)号:US12190592B2

    公开(公告)日:2025-01-07

    申请号:US18315408

    申请日:2023-05-10

    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.

    FISH BIOMASS, SHAPE, AND SIZE DETERMINATION

    公开(公告)号:US20240428607A1

    公开(公告)日:2024-12-26

    申请号:US18760955

    申请日:2024-07-01

    Applicant: TidalX AI Inc.

    Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for estimating the shape, size, and mass of fish are described. A pair of stereo cameras may be utilized to obtain right and left images of fish in a defined area. The right and left images may be processed, enhanced, and combined. Object detection may be used to detect and track a fish in images. A pose estimator may be used to determine key points and features of the detected fish. Based on the key points, a three-dimensional (3-D) model of the fish is generated that provides an estimate of the size and shape of the fish. A regression model or neural network model can be applied to the 3-D model to determine a likely weight of the fish.

    Fish biomass, shape, size, or health determination

    公开(公告)号:US12272169B2

    公开(公告)日:2025-04-08

    申请号:US18352971

    申请日:2023-07-14

    Applicant: TidalX AI Inc.

    Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for estimating the shape, size, mass, and health of fish are described. A pair of stereo cameras may be utilized to obtain off-axis images of fish in a defined area. The images may be processed, enhanced, and combined. Object detection may be used to detect and track a fish in images. A pose estimator may be used to determine key points and features of the detected fish. Based on the key points, a model of the fish is generated that provides an estimate of the size and shape of the fish. A regression model or neural network model can be applied to the fish model to determine characteristics of the fish.

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