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公开(公告)号：US20240370678A1
公开(公告)日：2024-11-07
申请号：US18740408
申请日：2024-06-11
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Duanfeng He
Abstract: Systems and methods for tracking objects in space are disclosed. The systems and methods include capturing two-dimensional (2D) image data from which a indicium is decoded and capturing, generating, or otherwise accessing three-dimensional (3D) image data from which a 3D object is identified. A 2D image of a indicium and indicium data is combined with the 3D object to form reference 3D object data that is used for comparison to subsequently captured 3D and 2D image data. In some examples, a four-dimensional (4D) projection of the reference 3D object data is used for comparison and validation of the subsequently captured 3D and 2D image data.
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公开(公告)号：US20240289578A1
公开(公告)日：2024-08-29
申请号：US18113855
申请日：2023-02-24
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Duanfeng He
CPC classification number: G06K7/1443 , G06T7/11 , G06T9/00 , G06V10/25 , G06V10/60 , G06V2201/07
Abstract: An indicia location coprocessor is disclosed herein. An example indicia location coprocessor includes imaging device comprising: (1) an image sensor to capture image data; (2) a front-end processing assembly configured to: (i) receive the image data and determine image statistics for the image data, (ii) determine, from the image statistics, an indicia location corresponding to a set of point coordinates in the image data, and, (iii) communicate the image data and the determined indicia location to a host processor communicatively coupled to the front-end processing assembly; and (3) wherein the host processor is configured to receive the image data and the indicia location and is configured to decode an indicia in the image data based upon determining a position in the image data corresponding to the indicia location.
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公开(公告)号：US20230236780A1
公开(公告)日：2023-07-27
申请号：US18130750
申请日：2023-04-04
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Joseph D. Moreira , Gene A. Hofer , Michael T. Cranston , Duanfeng He
IPC: G06F3/12
CPC classification number: G06F3/1255 , G06F3/1208 , G06F3/1257 , G06F3/1204
Abstract: In some implementations, a device may identify, for a printing operation, a media type associated with media involved in the printing operation. The device may receive, from a sensor, a sensor measurement associated with an ambient condition of the printer. The device may determine, using a print optimization model, a printing configuration for the printing operation based on the media type and the ambient condition, wherein the print optimization model is trained based on reference data associated with historical printing operations associated with one or more printers, wherein the reference data includes reference configurations associated with the historical printing operations, respective media types of media used in the historical printing operations, and corresponding ambient conditions of the one or more printers during the historical printing operations. The device may cause the printer to perform the printing operation according to the printing configuration.
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公开(公告)号：US20230128240A1
公开(公告)日：2023-04-27
申请号：US17510757
申请日：2021-10-26
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Duanfeng He , Eugene B. Joseph , Peizheng Ma
Abstract: Methods and apparatus to locate barcodes in color images are disclosed. An example method includes: obtaining a color digital image using an image sensor, the image including a plurality of pixels represented by respective ones of a plurality of luminance components and respective ones of a plurality of color components; determining, based on the luminance components, a plurality of barcode indicative characteristics for respective ones of a plurality of regions of the image; determining, based on the plurality of color components, a plurality of color content amounts for respective ones of the plurality of regions; identifying one or more regions of the plurality of regions that have their respective color content amount satisfy a first criteria, and their respective barcode indicative characteristic satisfy a second criteria; and processing image data corresponding to each of the one or more regions to attempt to identify one or more barcodes in the image.
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公开(公告)号：US20210390277A1
公开(公告)日：2021-12-16
申请号：US16898184
申请日：2020-06-10
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Duanfeng He , Eugene B. Joseph
IPC: G06K7/14
Abstract: Example methods and apparatus to read barcodes on reflective surfaces are disclosed herein. An example method for handling a reflective surface in an imaging reader includes capturing one or more images of a surface of an item; detecting whether a specular reflection is present in the one or more images; when a specular reflection is detected, processing one or more additional images of the surface using a predetermined pattern of first processing suitable to identify a barcode on a reflective surface and second processing suitable to identify a barcode on a non-reflective surface; and when a specular reflection is not detected, processing one or more additional images of the surface using the second processing suitable to identify a barcode on a non-reflective surface.
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Patent Agency Ranking
公开(公告)号：US20210374970A1
公开(公告)日：2021-12-02
申请号：US16888418
申请日：2020-05-29
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Duanfeng He , Vincent J. Daempfle
Abstract: A method of generating neural network training image annotations includes training a first neural network to identify and segment hands in images using a first set of 2D images with hand portions segmented in each image; substantially simultaneously capturing both a second set of 2D images, and a third set of images including depth images, depicting hands holding a particular type of object; correlating each of the second set of images with corresponding images of the third set to identify and segment foregrounds from backgrounds in the second set of images; applying the trained first neural network to the identified foregrounds to identify hand portions of the foregrounds and segment object portions from identified hand portions; and training a second neural network, using the segmented object portions of the second set of images as training data, to identify the particular type of object in new images.
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公开(公告)号：US20210295043A1
公开(公告)日：2021-09-23
申请号：US17340828
申请日：2021-06-07
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Duanfeng He , Miroslav Trajkovic
Abstract: Systems and methods for object recognition with limited input are disclosed herein. An example method includes updating a neural network trained to perform object recognition on a first rendition of an object, so that the neural network performs object recognition on a second rendition of the object, using a limited set of input images. The method includes receiving a limited set of model images of the second rendition of the object, accessing a corresponding image mapping, and generating a large number of training images from the limited set, where image mappings include geometric, illumination, and/or obscuration transformations. The neural network is then trained, from this initial small set, to classify the second rendition of the object.
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公开(公告)号：US11062138B2
公开(公告)日：2021-07-13
申请号：US16688645
申请日：2019-11-19
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Duanfeng He , Miroslav Trajkovic
Abstract: Systems and methods for object recognition with limited input are disclosed herein. An example method includes updating a neural network trained to perform object recognition on a first rendition of an object, so that the neural network performs object recognition on a second rendition of the object, using a limited set of input images. The method includes receiving a limited set of model images of the second rendition of the object, accessing a corresponding image mapping, and generating a large number of training images from the limited set, where image mappings include geometric, illumination, and/or obscuration transformations. The neural network is then trained, from this initial small set, to classify the second rendition of the object.
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公开(公告)号：US20210103712A1
公开(公告)日：2021-04-08
申请号：US16592672
申请日：2019-10-03
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Duanfeng He
Abstract: A method and apparatus for correcting auto-exposure settings of a barcode reader based on modifying an auto-exposure region at a barcode reader for decoding a barcode in response to identifying a barcode and failing to decode the barcode due to incorrect initial exposure parameters, wherein the modified auto-exposure region is based at least in part on the barcode location.
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公开(公告)号：US10817290B2
公开(公告)日：2020-10-27
申请号：US16225167
申请日：2018-12-19
Applicant: Zebra Technologies Corporation
Inventor： Duanfeng He
Abstract: A method is disclosed which includes illuminating one or more objects when they enter a field of view (FOV). The method includes capturing an image of one or more objects once they enter the FOV, and performing an iterative analysis of the image based on a plurality of detection operations and according to one or more sequential operational relationships and one or more logical operational relationships. The iterative analysis comprises analyzing the image according to a first detection operation, modifying one or more geometrical operational relationships, and modifying a second detection operation based on the one or more sequential operational relationships, the one or more logical operational relationships, and the one or more geometrical operational relationships. The method further includes repeating the iterative analysis until a final detection operation is completed, and sending a signal to an exterior component to perform an action corresponding to the one or more objects.
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