SELF-CALIBRATING ULTRASONIC REMOVAL OF ECTOPARASITES FROM FISH

    公开(公告)号:US20240130334A1

    公开(公告)日:2024-04-25

    申请号:US18319246

    申请日:2023-05-16

    CPC classification number: A01K61/13 A01M29/18 G01N29/00 G06V40/10 G01N29/34

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for self-calibrating ultrasonic removal of sea lice. In some implementations, a method includes generating, by transducers distributed in a sea lice treatment station, a first set of ultrasonic signals, detecting a second set of ultrasonic signals in response to propagation of the first set of ultrasonic signals through water, determining propagation parameters of the sea lice treatment station based on the second set of ultrasonic signals that were detected, obtaining an image of a sea louse on a fish in the sea lice treatment station, determining, from the image, a location of the sea louse in the sea lice treatment station, and generating a third set of ultrasonic signals that focuses energy at the sea louse.

    Sea lice mitigation based on historical observations

    公开(公告)号:US11659820B2

    公开(公告)日:2023-05-30

    申请号:US16825577

    申请日:2020-03-20

    CPC classification number: A01K61/13 A01K61/95

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for sea lice mitigation. In some implementations, a method includes obtaining multiple observations of a population of reference fish across a period of time, generating, from the multiple observations, a record for each reference fish that indicates an extent of sea lice infestation for the reference fish across the period of time, training, based on the records, a model that determines a predicted health indicator for a fish, obtaining an image of a sample fish that is not in the population of reference fish, determining, based on the image of the sample fish and with the model, a predicted health indicator for the sample fish, and selectively initiating sea lice mitigation based on the predicted health indicator.

    COMPUTER VISION APPROACHES FOR ENVIRONMENTALLY SUSTAINABLE AQUACULTURE

    公开(公告)号:US20230083826A1

    公开(公告)日:2023-03-16

    申请号:US17689781

    申请日:2022-03-08

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for environmentally sustainable aquaculture through computer vision for ectoparasite detection and medication dosing. In some implementations, actions include obtaining an image captured by an underwater camera; determining one or more fish detections and one or more ectoparasite detections based on the image; generating a filtered set of fish detections and ectoparasite detections; providing the filtered set of fish detections and ectoparasite detections to a trained model; and obtaining output of the trained model indicating an intensity of ectoparasite infection.

    FISH BIOMASS, SHAPE, SIZE, OR HEALTH DETERMINATION

    公开(公告)号:US20230033726A1

    公开(公告)日:2023-02-02

    申请号:US17886571

    申请日:2022-08-12

    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.

    Mount for a calibration target for ultrasonic removal of ectoparasites from fish

    公开(公告)号:US11864535B2

    公开(公告)日:2024-01-09

    申请号:US17557891

    申请日:2021-12-21

    CPC classification number: A01K61/13 A01K61/10 G01S5/20

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for obtaining initial parameters for ultrasonic transducers around a calibration target. The calibration target can include a fish-shaped structure, sensors placed at different locations of the fish-shaped structure, a processor that receives sensor values from the sensors, and a transmitter that outputs sensor data from the calibration target based on the sensor values. The calibration target can be fixed at a particular position relative to the ultrasonic transducers by a filament coupled to both the calibration target and a support structure. Sensor data can be obtained from the calibration target at the particular position relative to the ultrasonic transducers, and relative locations of the sensors can be determined. Parameters for the ultrasonic transducers around the calibration target can be adjusted based on the sensor data and the respective locations of the sensors.

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