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公开(公告)号：US20240428459A1
公开(公告)日：2024-12-26
申请号：US18757395
申请日：2024-06-27
Applicant: TidalX AI Inc.
Inventor： Grace Taixi Brentano , Barnaby John James , Laura Valentine Chrobak , Zhaoying Yao
Abstract: In one aspect, there is provided a method that includes receiving, by a control system having (i) a first camera configured to obtain an image of a scene, (ii) a winch controller, and (iii) a feeding system configured to deliver a feed to aquaculture, instructions to initiate a calibration of the first camera, determining a calibration state of the first camera, determining a sequence of calibration steps based on the calibration state of the first camera, and executing the sequence of calibration steps to calibrate the first camera.
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公开(公告)号：US12081894B2
公开(公告)日：2024-09-03
申请号：US18238272
申请日：2023-08-25
Applicant: TidalX AI Inc.
Inventor： Andrew Rossignol , Harrison Pham
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that provides an enhanced synchronization framework. One of the methods includes a primary and a second device that receive configuration information which identifies one or more actions to be performed by the secondary device when it receives specified pulses of a sequence of pulses from the primary device. The primary device transmits a sequence of pulses. The primary and the secondary device receive a particular pulse from the sequence of pulses. The secondary device determines whether the particular pulse satisfies one or more predetermined criteria and generates an instruction based on the determination.
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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.
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：US12228642B2
公开(公告)日：2025-02-18
申请号：US18363506
申请日：2023-08-01
Applicant: TidalX AI Inc.
Inventor： Thomas Robert Swanson , Riva Gulassa
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for estimating wave properties of a body of water. A computer-implemented system obtains measurement data for a duration of time from an inertial measurement unit (IMU) onboard an underwater device, generates model input data based on at least the measurement data obtained at the plurality of time points, and processes the model input data to generate model output data indicating one or more wave properties using a machine-learning model. The system further determines, based on at least the one or more wave properties, whether the device is safe to be deployed.
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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.
Inventor： Laura Chrobak , Barnaby John James
IPC: G06V10/42 , A01K61/95 , G06F18/21 , G06F18/23213 , G06F18/2433 , G06T7/00 , G06T7/62 , G06T7/70 , G06V20/05 , G06V40/10
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.
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Patent Agency Ranking
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.
Inventor： Joel Fraser Atwater , Barnaby John James , Matthew William Messana
IPC: G06V20/52 , A01K61/10 , A01K61/95 , 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：US20240428607A1
公开(公告)日：2024-12-26
申请号：US18760955
申请日：2024-07-01
Applicant: TidalX AI Inc.
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：US12272169B2
公开(公告)日：2025-04-08
申请号：US18352971
申请日：2023-07-14
Applicant: TidalX AI Inc.
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：US12229937B2
公开(公告)日：2025-02-18
申请号：US18490383
申请日：2023-10-19
Applicant: TidalX AI Inc.
Inventor： Julia Black Ling , Laura Valentine Chrobak
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for underwater camera biomass prediction aggregation. In some implementations, an exemplary method includes obtaining images of fish captured by an underwater camera; providing data of the images to a trained model; obtaining output of the trained model indicating the likelihoods that the biomass of fish are within multiple ranges; combining likelihoods of the output based on one or more ranges common to likelihoods of two or more fish to generate a biomass distribution; and determining an action based on the biomass distribution.
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公开(公告)号：US12223723B2
公开(公告)日：2025-02-11
申请号：US17391392
申请日：2021-08-02
Applicant: TidalX AI Inc
Inventor： Joel Fraser Atwater , Barnaby John James , Matthew Messana
IPC: G06V20/52 , A01K61/10 , A01K61/95 , 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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