SELF-CALIBRATING ULTRASONIC REMOVAL OF ECTOPARASITES FROM FISH

    公开(公告)号:US20230039087A1

    公开(公告)日:2023-02-09

    申请号:US17971503

    申请日:2022-10-21

    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.

    LIGHTING CONTROLLER FOR SEA LICE DETECTION

    公开(公告)号:US20220201987A1

    公开(公告)日:2022-06-30

    申请号:US17697388

    申请日:2022-03-17

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for a lighting controller for sea lice detection. In some implementations, a pulse of red light and a pulse of blue light can be timed with the exposure of a camera to capture multiple images of a fish or group of fishes in both red and blue light. By using the captured images with different color light, computers can detect features on the body of a fish including sea lice, skin lesions, shortened operculum or other physical deformities and skin features. Detection results can aid in mitigation techniques or be stored for analytics. For example, sea lice detection results can inform targeted treatments comprised of lasers, fluids, or mechanical devices such as a brush or suction.

    SELF-CALIBRATING ULTRASONIC REMOVAL OF ECTOPARASITES FROM FISH

    公开(公告)号:US20240224952A9

    公开(公告)日:2024-07-11

    申请号:US18319246

    申请日:2023-05-17

    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.

    Fish biomass, shape, size, or health determination

    公开(公告)号:US11475689B2

    公开(公告)日:2022-10-18

    申请号:US16734661

    申请日:2020-01-06

    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.

    SELF-CALIBRATING ULTRASONIC REMOVAL OF ECTOPARASITES FROM FISH

    公开(公告)号:US20220192160A1

    公开(公告)日:2022-06-23

    申请号:US17132874

    申请日:2020-12-23

    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.

    Lighting controller for sea lice detection

    公开(公告)号:US11297806B2

    公开(公告)日:2022-04-12

    申请号:US16743023

    申请日:2020-01-15

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for a lighting controller for sea lice detection. In some implementations, a pulse of red light and a pulse of blue light can be timed with the exposure of a camera to capture multiple images of a fish or group of fishes in both red and blue light. By using the captured images with different color light, computers can detect features on the body of a fish including sea lice, skin lesions, shortened operculum or other physical deformities and skin features. Detection results can aid in mitigation techniques or be stored for analytics. For example, sea lice detection results can inform targeted treatments comprised of lasers, fluids, or mechanical devices such as a brush or suction.

    SEA LICE MITIGATION BASED ON HISTORICAL OBSERVATIONS

    公开(公告)号:US20210289758A1

    公开(公告)日:2021-09-23

    申请号:US16825577

    申请日:2020-03-20

    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.

    LIGHTING CONTROLLER FOR SEA LICE DETECTION

    公开(公告)号:US20210212298A1

    公开(公告)日:2021-07-15

    申请号:US16743023

    申请日:2020-01-15

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for a lighting controller for sea lice detection. In some implementations, a pulse of red light and a pulse of blue light can be timed with the exposure of a camera to capture multiple images of a fish or group of fishes in both red and blue light. By using the captured images with different color light, computers can detect features on the body of a fish including sea lice, skin lesions, shortened operculum or other physical deformities and skin features. Detection results can aid in mitigation techniques or be stored for analytics. For example, sea lice detection results can inform targeted treatments comprised of lasers, fluids, or mechanical devices such as a brush or suction.

    FISH BIOMASS, SHAPE, SIZE, OR HEALTH DETERMINATION

    公开(公告)号:US20210209351A1

    公开(公告)日:2021-07-08

    申请号:US16734661

    申请日:2020-01-06

    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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