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公开(公告)号：US20230368538A1
公开(公告)日：2023-11-16
申请号：US18315408
申请日：2023-05-10
Applicant: X Development LLC
Inventor： Joel Fraser Atwater , Barnaby John James , Matthew William Messana
IPC: G06V20/52 , A01K61/95 , A01K61/10 , G06T7/20 , H04N23/667
CPC classification number: G06V20/52 , A01K61/95 , A01K61/10 , G06T7/20 , H04N23/667
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：US11737434B2
公开(公告)日：2023-08-29
申请号：US17379893
申请日：2021-07-19
Applicant: X Development LLC
Inventor： Laura Valentine Chrobak , Peter Kimball , Barnaby John James , Julia Black Ling
CPC classification number: A01K61/95 , A23K50/80 , G01N21/532 , G01N21/534 , G01N33/18 , G06F18/22 , G06N20/00 , G06V40/10
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that generate from a first pair and a second pair of images of livestock that are within an enclosure and that are taken at different times using a stereoscopic camera, at least two distance distributions of the aquatic livestock within the enclosure. The distance distributions can be used to determine a measure associated with an optical property of the water within the enclosure. A signal associated with the measure can be provided.
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公开(公告)号：US11615638B2
公开(公告)日：2023-03-28
申请号：US17094275
申请日：2020-11-10
Applicant: X Development LLC
Inventor： Barnaby John James
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.
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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：US20220396339A1
公开(公告)日：2022-12-15
申请号：US17347452
申请日：2021-06-14
Applicant: X Development LLC
Inventor： Andrew Rossignol , Ryan Heacock , Nupur Garg , Barnaby John James
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.
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Patent Agency Ranking
公开(公告)号：US20220361459A1
公开(公告)日：2022-11-17
申请号：US17320520
申请日：2021-05-14
Applicant: X Development LLC
Inventor： Zhaoying Yao , Barnaby John James
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for controlling an aquaculture feeding system are described. In some implementations, a method includes determining, using a feeding system controller, that a feeding system has transitioned from a first state to a second state, and based on the transition from the first to the second state providing, using the feeding system controller, instructions to a dosing system to set a feed rate of the dosing system, and providing, using the feeding system controller, instructions to a blower operatively coupled to the dosing system to set a flow rate of the blower.
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公开(公告)号：US11367209B2
公开(公告)日：2022-06-21
申请号：US17078490
申请日：2020-10-23
Applicant: X Development LLC
Inventor： Barnaby John James
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.
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公开(公告)号：USD947887S1
公开(公告)日：2022-04-05
申请号：US29741587
申请日：2020-07-14
Applicant: X Development LLC
Designer： Kimberly Paterson , Karen Vertierra , Ryan Patrick Sims , Neil Davé , Barnaby John James
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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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