Enhanced controller synchronization verification

    公开(公告)号:US11831989B2

    公开(公告)日:2023-11-28

    申请号:US18168306

    申请日:2023-02-13

    CPC classification number: H04N23/71 A01K61/13 H04N23/74 H04N23/90

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that validate the synchronization of controllers in an aquaculture environment. One of the methods includes an image processor that receives images generated by a first image generating device that includes a light filter that is associated with light of a particular light frequency while an aquaculture environment was illuminated with light. Based on the image that was generated by the first image generating device, the image processor determines whether the intensity value of the light frequency in the image satisfies a threshold value. Based on determining whether the intensity value of the light frequency in the image satisfies the threshold value, the image processor determines whether the aquaculture environment was illuminated with light of the particular light frequency when the image was generated. The image processor provides for output an indication of whether the aquaculture was illuminated with light of the particular frequency when the image was generated.

    CHARACTERISING WAVE PROPERTIES BASED ON MEASUREMENT DATA USING A MACHINE-LEARNING MODEL

    公开(公告)号:US20230078797A1

    公开(公告)日:2023-03-16

    申请号:US17869050

    申请日:2022-07-20

    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.

    REAL-TIME TENSION MONITORING FOR AQUACULTURE PEN DYNAMICS

    公开(公告)号:US20240215554A1

    公开(公告)日:2024-07-04

    申请号:US18240075

    申请日:2023-08-30

    CPC classification number: A01K63/006 A01K61/60

    Abstract: A method for monitoring an aquaculture net, including: transmitting, from a sensor coupled to a net, a signal including information indicative of one or more net state parameters through water; receiving the signal from a sensor coupled to a net, the signal including information indicative of one or more net state parameters; extracting the information from the signal; applying the extracted information as input to a machine learning model trained to determine a net state from the extracted information; determining the presence of a defect in the net.

    CHARACTERISING WAVE PROPERTIES BASED ON MEASUREMENT DATA USING A MACHINE-LEARNING MODEL

    公开(公告)号:US20240192363A1

    公开(公告)日:2024-06-13

    申请号:US18363506

    申请日:2023-08-01

    CPC classification number: G01S15/872 G01S15/8952 G06N20/00

    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.

    REAL-TIME FEED PIPE MONITORING
    15.
    发明公开

    公开(公告)号:US20240183744A1

    公开(公告)日:2024-06-06

    申请号:US18531243

    申请日:2023-12-06

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for real-time monitoring of an aquaculture feeding system using Time Domain Reflectometry (TDR). In one aspect, an aquaculture feeding system comprises: a feed pipe arranged between a dosing system and a fish pen; a feed pipe monitoring subsystem comprising one or more controlled impedance cables arranged along the feed pipe, and a pulse generator configured to generate a series of pulses at a predetermined pulse rate to be transmitted through the controlled impedance cables; and a controller subsystem connected to the feed pipe monitoring subsystem, the controller subsystem configured to: monitor pulse responses along the controlled impedance cables; and detect, from the pulse responses, a condition of the feed pipe.

    MODULE FOR UNDERWATER REMOTELY OPERATED VEHICLES

    公开(公告)号:US20240124111A1

    公开(公告)日:2024-04-18

    申请号:US18232766

    申请日:2023-08-10

    CPC classification number: B63G8/001 B63G2008/005

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for controlling a remotely operated vehicle (ROV) for performing an underwater task. One apparatus includes a watertight housing; a mounting hardware that attaches the watertight housing to the ROV; one or more sensors in the watertight housing, the one or more sensors configured to generate sensor data that is associated with an underwater task; and one or more processors in the watertight housing, the one or more processors configured to: receive the sensor data from the one or more sensors; generate a navigation plan for the ROV using the sensor data; determine, using the navigation plan, control instructions configured to control the ROV to perform the underwater task; and provide the control instructions to an interface of the ROV configured to communicate with the apparatus.

    Enhanced controller synchronization verification

    公开(公告)号:US11582397B2

    公开(公告)日:2023-02-14

    申请号:US17323310

    申请日:2021-05-18

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that validate the synchronization of controllers in an aquaculture environment. One of the methods includes an image processor that receives images generated by a first image generating device that includes a light filter that is associated with light of a particular light frequency while an aquaculture environment was illuminated with light. Based on the image, the image processor determines whether the intensity value of the light frequency in the image satisfies a threshold value. Based on determining whether the intensity value of the light frequency in the image satisfies the threshold value, the image processor determines whether the aquaculture environment was illuminated with light of the particular light frequency when the image was generated. The image processor provides an indication of whether the aquaculture was illuminated with light of the particular frequency when the image was generated.

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