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公开(公告)号：US20230033726A1
公开(公告)日：2023-02-02
申请号：US17886571
申请日：2022-08-12
Applicant: X Development LLC
Inventor： Grace Calvert Young , Barnaby John James , Peter Kimball , Matthew Messana , Ferdinand Legros
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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公开(公告)号：US20210374427A1
公开(公告)日：2021-12-02
申请号：US17391392
申请日：2021-08-02
Applicant: X Development LLC
Inventor： Joel Fraser Atwater , Barnaby John James , Matthew Messana
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.
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公开(公告)号：US20200184206A1
公开(公告)日：2020-06-11
申请号：US16751715
申请日：2020-01-24
Applicant: X Development LLC
Inventor： Barnaby John James , Evan Douglas Rapoport , Matthew Messana , Peter Kimball
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.
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公开(公告)号：US10534967B2
公开(公告)日：2020-01-14
申请号：US15970131
申请日：2018-05-03
Applicant: X Development LLC
Inventor： Joel Fraser Atwater , Barnaby John James , Matthew Messana
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.
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公开(公告)号：US11475689B2
公开(公告)日：2022-10-18
申请号：US16734661
申请日：2020-01-06
Applicant: X Development LLC
Inventor： Grace Calvert Young , Barnaby John James , Peter Kimball , Matthew Messana , Ferdinand Legros
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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Patent Agency Ranking
公开(公告)号：USD948352S1
公开(公告)日：2022-04-12
申请号：US29726625
申请日：2020-03-04
Applicant: X Development LLC
Designer： Matthew David Day , Matthew Aaron Knoll , Matthew Messana , Kyle James Cormany , Jacques Gagne , Samuel Meyer Cohen , Neil Davé
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公开(公告)号：US11297806B2
公开(公告)日：2022-04-12
申请号：US16743023
申请日：2020-01-15
Applicant: X Development LLC
Inventor： Matthew Messana , Christopher Thornton , Grace Calvert Young
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.
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公开(公告)号：US11232297B2
公开(公告)日：2022-01-25
申请号：US16751715
申请日：2020-01-24
Applicant: X Development LLC
Inventor： Barnaby John James , Evan Douglas Rapoport , Matthew Messana , Peter Kimball
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.
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公开(公告)号：US20210212298A1
公开(公告)日：2021-07-15
申请号：US16743023
申请日：2020-01-15
Applicant: X Development LLC
Inventor： Matthew Messana , Christopher Thornton , Grace Calvert Young
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.
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公开(公告)号：US20210209351A1
公开(公告)日：2021-07-08
申请号：US16734661
申请日：2020-01-06
Applicant: X Development LLC
Inventor： Grace Calvert Young , Barnaby John James , Peter Kimball , Matthew Messana , Ferdinand Legros
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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