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    Automatic Quality Assessment of Tasks
    2.
    发明公开
    Automatic Quality Assessment of Tasks 审中-公开

    公开(公告)号：US20240165803A1

    公开(公告)日：2024-05-23

    申请号：US17992742

    申请日：2022-11-22

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Alessandro Bay ,  Andrea Mirabile

    IPC: B25J9/16 ,  G05B19/4155

    CPC classification number: B25J9/1661 ,  B25J9/1682 ,  G05B19/4155 ,  G05B2219/50391

    Abstract: Disclosed is a robot management system comprising a control circuit configured to receive data indicative of a worker task being completed by a human from a human task management system coupled to the robot management system, generate a new robot task based on the data, add the new robot task to a robot task queue, detect an available robot, determine capabilities of the available robot, and filter the robot task queue based on the capabilities of the available robot to generate a group of robot tasks, the group being a subset of the robot task queue and each task in the group can be performed by the available robot. The control circuit is further configured to determine a priority group comprising a priority for the available robot for each task in the group and assign a robot task from the group to the available robot based on the priority group.

    Object identification based on a partial decode
    3.
    发明授权
    Object identification based on a partial decode 有权

    公开(公告)号：US11922268B1

    公开(公告)日：2024-03-05

    申请号：US18103712

    申请日：2023-01-31

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Francesco Lupo ,  Alessandro Bay ,  Andrea Mirabile

    IPC: G06K7/14

    CPC classification number: G06K7/1413

    Abstract: Systems and methods for enhancing decoding of indicia are disclosed herein. An example implementation includes: generating a visual embedding from image data; identifying, in the image data, a partial indicia and decoding the partial indicia to determine at least a partial payload; responsive to the at least partial payload not being a full payload, determining one or more candidate visual embeddings corresponding to the partial payload; comparing the one or more candidate visual embeddings to the visual embedding generated from the image data and assigning a correspondence score for each of the one or more candidate visual embeddings based on the comparison; and determining a recommendation based on the correspondence score for each of the one or more candidate visual embeddings.

    Devices, Systems, and Methods for Automated Weight Sensing and Logging of Prepared Foods for Checkout
    4.
    发明公开
    Devices, Systems, and Methods for Automated Weight Sensing and Logging of Prepared Foods for Checkout 审中-公开

    公开(公告)号：US20240177132A1

    公开(公告)日：2024-05-30

    申请号：US18072249

    申请日：2022-11-30

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Karthikeyan Nagarajan ,  Alessandro Bay

    IPC: G06Q20/20

    CPC classification number: G06Q20/208 ,  G06Q20/202 ,  G06Q20/206

    Abstract: Devices, systems, and methods for weight-based tracking of prepared foods for affecting checkout. The devices, systems, and methods may include detecting, by one or more scale devices, a change in weight of a respective prepared food item stored at each of the one or more scale devices; controlling, by the respective scale device, a first transceiver of the respective scale device to transmit prepared food transaction data to a second transceiver of a user tray; storing, by the user tray, the transmitted prepared food transaction data in a memory slot at the second transceiver of the user tray; repeating the foregoing at each of the one or more scale devices at which a change in weight of a respective prepared food item is detected; and completing, by a transaction processing station, a checkout of the user tray.

    IMAGE-BASED ANOMALY DETECTION BASED ON A MACHINE LEARNING ANALYSIS OF AN OBJECT
    5.
    发明申请
    IMAGE-BASED ANOMALY DETECTION BASED ON A MACHINE LEARNING ANALYSIS OF AN OBJECT 有权

    公开(公告)号：US20220383128A1

    公开(公告)日：2022-12-01

    申请号：US17334162

    申请日：2021-05-28

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Daniel S. Gonzales ,  Yan Zhang ,  Andrea Mirabile ,  Alessandro Bay

    IPC: G06N3/08 ,  G06N20/10 ,  G06N5/04 ,  G06N3/04

    Abstract: An object analysis system is disclosed herein. The object analysis system may receive an input image that depicts an object. The object analysis system may determine, using a feature extraction model and from the input image, a first feature output that is associated with one or more features of the object. The feature extraction model may be trained based on reference images that depict reference objects that are a type of the object. The object analysis system may determine, using a classification model, that an anomaly status of the object is indicative of the object including an anomaly. The classification model may be trained based on the reference images. The object analysis system may determine, using an anomaly localization model, a location of the anomaly in the input image based on a second feature output of the convolutional neural network encoder. The anomaly localization model may be trained based on the reference images. The object analysis system may perform an action associated with the location of the anomaly.

    Devices, Systems, and Methods for Automated Weight Measuring and Inventory Management of Consumer Goods
    6.
    发明公开
    Devices, Systems, and Methods for Automated Weight Measuring and Inventory Management of Consumer Goods 审中-公开

    公开(公告)号：US20240177131A1

    公开(公告)日：2024-05-30

    申请号：US18072173

    申请日：2022-11-30

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Karthikeyan Nagarajan ,  Alessandro Bay

    IPC: G06Q20/20 ,  G06V10/82 ,  G06V20/60

    CPC classification number: G06Q20/208 ,  G06V10/82 ,  G06V20/60

    Abstract: Devices, systems, and methods for weight-based tracking and pricing of consumer goods. The devices, systems, and methods may include detecting, by a scale device, a first change in weight of a display area; capturing, by a first imaging camera, a first image featuring the display area; detecting, by one or more processors, a first object in the first image; identifying, by the one or more processors, the first object; associating, by the one or more processors, the detected first change in weight with the identified first object to determine a transaction value associated with the identified first object based upon the detected first change in weight; and displaying, by a display device, a rendition of the display area, the rendition containing a representation of the first object and the transaction value.

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