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    Systems and methods for lost asset management using photo-matching
    1.
    发明授权
    Systems and methods for lost asset management using photo-matching 有权

    公开(公告)号：US11948119B2

    公开(公告)日：2024-04-02

    申请号：US17538009

    申请日：2021-11-30

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Andre Luecht ,  Andrea Mirabile ,  Michele Taroni ,  Chad E. Tripp

    IPC: G06Q10/08 ,  G06F16/583 ,  G06V10/22

    CPC classification number: G06Q10/08 ,  G06F16/583 ,  G06V10/23

    Abstract: Systems and methods for lost asset management using photo-matching are disclosed herein. An example method includes capturing a lost asset image corresponding to a lost asset, and generating, by a feature extractor model, a lost asset descriptor that represents features of the lost asset image. The example method also includes storing the lost asset descriptor and the lost asset image in an asset database that includes known asset descriptors, and performing, by a visual search engine, a nearest neighbor search within the asset database to determine a respective metric distance between the lost asset descriptor and the known asset descriptors. The example method also includes determining, by the visual search engine, a ranked list of known assets corresponding to the lost asset, and displaying, at a user interface, the ranked list of known assets for viewing by a user.

    Using Image Processing to Identify Produce
    4.
    发明公开
    Using Image Processing to Identify Produce 审中-公开

    公开(公告)号：US20230274560A1

    公开(公告)日：2023-08-31

    申请号：US17683134

    申请日：2022-02-28

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Andrea Bordone Molini ,  Francesco Lupo ,  Andrea Mirabile

    IPC: G06V20/68 ,  G06Q20/20 ,  G06V10/20 ,  G06V10/82 ,  G06V10/764

    CPC classification number: G06V20/68 ,  G06Q20/208 ,  G06V10/255 ,  G06V10/764 ,  G06V10/82

    Abstract: A controller using image processing to identify produce is disclosed herein. The controller may include one or more memories and one or more processors communicatively coupled to the one or more memories. In some implementations, a controller may receive a trigger associated with presence of an item at a product processing zone. The controller may capture, via an imager, an image representing the item. Accordingly, the controller may apply a first convolutional neural network (CNN) to the image to determine a bounding box associated with the item. The controller may determine that the item within the bounding box satisfies an occlusion threshold and may apply a second CNN to the image to determine a query image representation. Accordingly, the controller may receive, from a database, an indication of one or more candidate items based on the query image representation and indicate, via a user interface, the candidate item(s).

    FEATURE-BASED GEOREGISTRATION FOR MOBILE COMPUTING DEVICES
    5.
    发明申请
    FEATURE-BASED GEOREGISTRATION FOR MOBILE COMPUTING DEVICES 有权

    公开(公告)号：US20220405958A1

    公开(公告)日：2022-12-22

    申请号：US17350929

    申请日：2021-06-17

    Applicant: Zebra Technologies Corporation

    Inventor： Patrenahalli M. Narendra ,  Joseph R. White ,  Andrea Mirabile

    IPC: G06T7/73 ,  G06T7/00 ,  G06K9/62 ,  G06K9/00

    Abstract: A method in a computing device includes: in a facility containing a plurality of support structures, capturing an image of a first support structure; detecting, in the image, a first feature set of the first support structure; selecting obtaining at least one reference feature set by proximity to an estimated location of the mobile computing device in the facility coordinate system, the at least one reference feature set selected from a repository defining feature locations for each of the support structures in a facility coordinate system; comparing the first feature set with the at least one reference feature set; and in response to determining that the first feature set matches the at least one reference feature set, determining a location of the mobile computing device in the facility coordinate system based on the image and the feature locations from the repository.

    IMAGE-BASED ANOMALY DETECTION BASED ON A MACHINE LEARNING ANALYSIS OF AN OBJECT
    6.
    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.

    Parallax-Based 3D Measurement System Using Overlapping FsOV
    8.
    发明申请
    Parallax-Based 3D Measurement System Using Overlapping FsOV 有权

    公开(公告)号：US20250045546A1

    公开(公告)日：2025-02-06

    申请号：US18228110

    申请日：2023-07-31

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Darran Michael Handshaw ,  Edward Barkan ,  Andrea Mirabile ,  Mark Drzymala

    IPC: G06K7/10 ,  G06T7/60

    Abstract: Systems and methods for performing three-dimensional measurements are disclosed herein. An example system includes an imaging system with a scan platter defining a spatial region within which an object may be imaged. The imaging system has first optics configured to image a first field of view of the imaging system, and second optics configured to image a second field of view of the imaging system. The second field of view spatially overlaps at least partially with the first field of view to form an overlap region, with the overlap region being a three-dimensional volume extending along a length of the scan platter. The system may further include a processor configured to analyze images of the first and second fields of view and determine at least one common point between the first and second images. The processor then further determines three-dimensional information of an object from the determined common point.

    Devices and Methods for Computer Vision Guided Analysis of a Display Module
    9.
    发明申请
    Devices and Methods for Computer Vision Guided Analysis of a Display Module 有权

    公开(公告)号：US20250037307A1

    公开(公告)日：2025-01-30

    申请号：US18226934

    申请日：2023-07-27

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Andrea Bordone Molini ,  Andrea Mirabile

    IPC: G06T7/73 ,  G06K7/14 ,  G06T3/40 ,  G06T7/33

    Abstract: Devices and methods for computer vision guided analysis of a display module are disclosed herein. The method captures a burst of images of at least a portion of an object for displaying at least one item. The method detects at least one attribute of the object present in a first image of the burst of images and extracts the at least one attribute of the object present in the first image from each image of the burst of images. The method aligns the extracted at least one attribute from each image of the burst of images with the extracted at least one attribute of the first image and generates a reconstructed image based on the aligned at least one attribute of the burst of images where the resolution of the first image is different from the resolution of the reconstructed image.

    Re-Scan Detection at Self-Check-Out Machines
    10.
    发明公开
    Re-Scan Detection at Self-Check-Out Machines 审中-公开

    公开(公告)号：US20230267288A1

    公开(公告)日：2023-08-24

    申请号：US17679923

    申请日：2022-02-24

    Applicant: ZEBRA TECHNOLOGIES CORPORATION

    Inventor： Francesco Lupo ,  Andrea Bordone Molini ,  Andrea Mirabile

    IPC: G06K7/10 ,  G06V40/10 ,  G06K7/14

    CPC classification number: G06K7/10722 ,  G06V40/107 ,  G06K7/1413

    Abstract: A method and system for operating an indicia reader are disclosed herein. An example method includes detecting a first object in the scanning region; capturing one or more images of the first object to create first image data; determining that a successful decode of an indicia has not occurred; retrieving the first image data of the first object; generating, using the first image data, an embedding of the first image data; detecting a second object in the scanning region; retrieving one or more support samples from an image database; comparing the embedding of the image data to each support sample of the one or more support samples; based on the comparison that the embedding of the image data does not match any support sample, performing an operation.

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