-
公开(公告)号：US20220159936A1
公开(公告)日：2022-05-26
申请号：US17102947
申请日：2020-11-24
Applicant: X Development LLC
Inventor： Barnaby John James
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for escape detection and mitigation for aquaculture. In some implementations, a method includes obtaining one or more images that depict one or more fish within an enclosure; generating, as a result of providing the one or more images to multiple detection models, a value that reflects a quantity of fish that are depicted in the images that are likely a member of each different type of fish; detecting an error condition relating to a possible opening of the enclosure based at least on the value; and in response to detecting the error condition relating to the possible opening of the enclosure, initiating one or more mitigation actions relating to the possible opening.
-
公开(公告)号：US20220012479A1
公开(公告)日：2022-01-13
申请号：US17474893
申请日：2021-09-14
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.
-
公开(公告)号：USD938978S1
公开(公告)日：2021-12-21
申请号：US29712900
申请日：2019-11-12
Applicant: X Development LLC
Designer： Karen Vertierra , Neil Davé , Barnaby John James , Nicole Kobilansky
-
公开(公告)号：USD938687S1
公开(公告)日：2021-12-14
申请号：US29712926
申请日：2019-11-12
Applicant: X Development LLC
Designer： Matthew David Day , Kyle James Cormany , Jacques Gagne , Matthew Messana , Neil Davé , Barnaby John James
-
公开(公告)号：US20210368748A1
公开(公告)日：2021-12-02
申请号：US17381666
申请日：2021-07-21
Applicant: X Development LLC
Inventor： Barnaby John James , Laura Valentine Chrobak
IPC: A01K61/95 , G06K9/62 , G05B19/4155
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 runt 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.
-
Patent Agency Ranking
公开(公告)号：US11113539B2
公开(公告)日：2021-09-07
申请号：US16701853
申请日：2019-12-03
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.
-
公开(公告)号：US20210250512A1
公开(公告)日：2021-08-12
申请号：US16785252
申请日：2020-02-07
Applicant: X Development LLC
Inventor： Barnaby John James , Tatiana Kichkaylo , Peter Kimball , Christopher Thornton
Abstract: A method for controlling a sensor subsystem, the method including receiving one or more metrics representing one or more characteristics of livestock, including one or more livestock objects, contained in an enclosure and monitored by one or more sensors coupled to a winch subsystem. The method further includes determining a position to move the one or more sensors based on the metrics and determining an instruction that includes information related to a movement of the one or more sensors. The method further includes sending the instruction to the winch subsystem to change the position of the one or more sensors.
-
公开(公告)号：US20210142052A1
公开(公告)日：2021-05-13
申请号：US17094380
申请日：2020-11-10
Applicant: X Development LLC
Inventor： Barnaby John James , Grace Taixi Brentano , Christopher Thornton
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for identification and re-identification of fish. In some implementations, first media representative of aquatic cargo is received. Second media based on the first media is generated, wherein a resolution of the second media is higher than a resolution of the first media. A cropped representation of the second media is generated. The cropped representation is provided to the machine learning model. In response to providing the cropped representation to the machine learning model, an embedding representing the cropped representation is generated using the machine learning model. The embedding is mapped to a high dimensional space. Data identifying the aquatic cargo is provided to a database, wherein the data identifying the aquatic cargo comprises an identifier of the aquatic cargo, the embedding, and a mapped region of the high dimensional space.
-
公开(公告)号：US10599922B2
公开(公告)日：2020-03-24
申请号：US15879851
申请日：2018-01-25
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.
-
公开(公告)号：US20190228218A1
公开(公告)日：2019-07-25
申请号：US15879851
申请日：2018-01-25
Applicant: X Development LLC
Inventor： Barnaby John James , Evan Douglas Rapoport , Matthew Messana , Peter Kimball
CPC classification number: G06K9/00369 , A01K61/95 , G06K9/00201 , G06N3/08 , G06T7/593 , G06T7/62 , G06T2207/10012 , G06T2207/20084
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.
-
-
-
-
-
-
-
-
-
Search Results
70
records
(took 0.033 seconds)
