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    Method, system and apparatus for detecting container transition events
    21.
    发明授权
    Method, system and apparatus for detecting container transition events 有权

    公开(公告)号：US12221290B2

    公开(公告)日：2025-02-11

    申请号：US17200478

    申请日：2021-03-12

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Chih Huan Chien ,  Jay J. Williams ,  Bassam S. Arshad ,  Yan Zhang

    IPC: B65G43/08 ,  B65G1/04

    Abstract: A method includes: obtaining, from a sensor disposed on a transporter, a set of beacon identifiers and proximity indicators, the beacon identifiers emitted by respective beacons mounted proximate to a boundary separating an exterior of a container from an interior of the container; determining whether the set of beacon identifiers and proximity indicators indicates a transition of the transporter across the boundary; when the determination is affirmative, detecting, based on the set of beacon identifiers and proximity indicators, a direction of travel of the transporter relative to the boundary; and generating a transition event including an identifier of the transporter, an identifier of the container, and the direction of travel.

    Hierarchical systems and methods for automatic container type recognition from images
    22.
    发明授权
    Hierarchical systems and methods for automatic container type recognition from images 有权

    公开(公告)号：US12190613B2

    公开(公告)日：2025-01-07

    申请号：US16672179

    申请日：2019-11-01

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Yan Zhang ,  Tong Shen ,  Santiago Romero

    IPC: G06V30/10 ,  G06V10/96 ,  G06V20/64

    Abstract: Hierarchical systems and methods for automatic container type recognition from images are disclosed herein. An example embodiment includes a system for image analysis, comprising: a container recognition component; a character recognition component; and a 3D point cloud component; wherein the container recognition component is configured to receive an image and produce one of three outputs based on analysis of the image such that the output corresponds to either a container is identified, further analysis is performed by the character recognition component, or further analysis is performed by the 3D point cloud component.

    Systems and Methods for Precise Anomaly Localization Within Content Captured by a Machine Vision Camera
    25.
    发明申请
    Systems and Methods for Precise Anomaly Localization Within Content Captured by a Machine Vision Camera 有权

    公开(公告)号：US20230095647A1

    公开(公告)日：2023-03-30

    申请号：US17490857

    申请日：2021-09-30

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Daniel S. Gonzales ,  Yan Zhang

    IPC: G06T7/11 ,  G06T7/00 ,  G06N3/08

    Abstract: Systems and methods for anomaly localization within content captured by a machine vision camera are disclosed herein. An example method includes receiving, at an application executing on a user computing device communicatively coupled to a machine vision camera, an image captured by the machine vision camera, the image including a target object with one or more localized anomalies. The example method further includes generating, by applying an unsupervised anomaly detection (UAD) module to the image, an anomaly heatmap corresponding to the image; and concatenating, by a concatenation module, the image and the anomaly heatmap into a multi-channel image. The example method also includes generating, by applying a supervised segmentation (SS) module to the multi-channel image, a hybrid output mask identifying the one or more localized anomalies within the image.

    AUTOMATED CHUTE FULLNESS DETECTION
    26.
    发明申请
    AUTOMATED CHUTE FULLNESS DETECTION 有权

    公开(公告)号：US20210295087A1

    公开(公告)日：2021-09-23

    申请号：US16824038

    申请日：2020-03-19

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Bin Sun ,  Yan Zhang ,  Kevin J. O'Connell ,  Yun Fu

    IPC: G06K9/46 ,  G06K9/32 ,  G06T7/00 ,  G06N3/08 ,  B65G11/20

    Abstract: A method includes: storing (i) a reference image of a chute for receiving objects, and (ii) a region of interest mask corresponding to a location of the chute in a field of view of an image sensor; at a processor, controlling the image sensor to capture an image of the chute; applying an illumination adjustment to the image; selecting, at the processor, a portion of the image according to the region of interest mask; generating a detection image based on a comparison of the selected portion and the reference image; determining, based on the detection image, a fullness indicator for the chute; and providing the fullness indicator to notification system.

    Three-dimensional (3D) depth imaging systems and methods for dynamic container auto-configuration
    27.
    发明授权
    Three-dimensional (3D) depth imaging systems and methods for dynamic container auto-configuration 有权

    公开(公告)号：US11010915B2

    公开(公告)日：2021-05-18

    申请号：US16509228

    申请日：2019-07-11

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Lichen Wang ,  Yan Zhang ,  Kevin J. O'Connell

    IPC: G06T7/70 ,  H04N13/207 ,  G06T7/13 ,  H04N5/225 ,  G06T7/521 ,  H04N5/247

    Abstract: Three-dimensional (3D) depth imaging systems and methods are disclosed for dynamic container auto-configuration. A 3D-depth camera captures 3D image data of a shipping container located in a predefined search space during a shipping container loading session. An auto-configuration application determines a representative container point cloud and (a) loads an initial pre-configuration file that defines a digital bounding box having dimensions representative of the predefined search space and an initial front board area; (b) applies the digital bounding box to the container point cloud to remove front board interference data from the container point cloud based on the initial front board area; (c) generates a refined front board area based on the shipping container type; (d) generates an adjusted digital bounding box based on the refined front board area; and (e) generates an auto-configuration result comprising the adjusted digital bounding box containing at least a portion of the container point cloud.

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