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公开(公告)号：US20250053761A1
公开(公告)日：2025-02-13
申请号：US18545995
申请日：2023-12-19
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Askold V. Strat , Eugene B. Joseph , Miroslav Trajkovic
Abstract: Concepts described herein described herein relate to the determination of media that is presented to indicia readers for digital reading of said indicia. In some cases, embodiments described herein rely on operating an imaging reader in a particular mode of operation where image frames are captured with the intensity of the illumination light varying during said capture and subsequently determining, by analyzing those frame, a media type appearing within the FOV based on one of (i) a lack of an optical signature associated with varying the intensity of the illumination light during the capture of the frame or (ii) a presence of the optical signature associated with the varying the intensity of the illumination light during the capture of the frame.
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公开(公告)号：US11062104B2
公开(公告)日：2021-07-13
申请号：US16505294
申请日：2019-07-08
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Duanfeng He , Miroslav Trajkovic
Abstract: A barcode reader is provided. The barcode reader includes a first image acquisition assembly having a first imager assembly configured to capture infrared (IR) light and an IR illumination assembly configured to emit IR light over at least a portion of a first field of view (FOV) of the first imager assembly so as to illuminate targets within the first FOV. The barcode reader further includes a second image acquisition assembly having a second imager assembly configured to capture visible light and a visible-light illumination assembly configured to emit visible light over at least a portion of a second FOV of the second imager assembly so as to illuminate targets within the second FOV.
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公开(公告)号：US20210150210A1
公开(公告)日：2021-05-20
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：US20210012070A1
公开(公告)日：2021-01-14
申请号：US16505294
申请日：2019-07-08
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Duanfeng He , Miroslav Trajkovic
Abstract: A barcode reader is provided. The barcode reader includes a first image acquisition assembly having a first imager assembly configured to capture infrared (IR) light and an IR illumination assembly configured to emit IR light over at least a portion of a first field of view (FOV) of the first imager assembly so as to illuminate targets within the first FOV. The barcode reader further includes a second image acquisition assembly having a second imager assembly configured to capture visible light and a visible-light illumination assembly configured to emit visible light over at least a portion of a second FOV of the second imager assembly so as to illuminate targets within the second FOV.
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公开(公告)号：US11928550B2
公开(公告)日：2024-03-12
申请号：US17587489
申请日：2022-01-28
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Peizheng Ma , Eugene B. Joseph , Duanfeng He , Miroslav Trajkovic
IPC: G06K7/14
CPC classification number: G06K7/1443 , G06K7/1417 , G06K7/1452 , G06K7/1482
Abstract: Methods and apparatus to locate and decode an arranged plurality of barcodes in an image are disclosed. An example method includes obtaining image data representing an image of an environment appearing within a FOV of an imaging device that includes the image sensor, wherein an arranged plurality of barcodes appear in the image. A first subset of the plurality of barcodes is decoded from the image data. One or more parameters representing a predicted arrangement of the plurality of barcodes in the image is determined based upon location information associated with each of the decoded first subset of the plurality of barcodes. Possible locations for respective ones of a second subset of the plurality of barcodes are determined based upon the one or more parameters, and the second subset of the plurality of barcodes are attempted to be decoded from the image data in vicinities of the respective possible locations.
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Patent Agency Ranking
公开(公告)号：US11763412B2
公开(公告)日：2023-09-19
申请号：US17743228
申请日：2022-05-12
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Igor Vinogradov , Miroslav Trajkovic , Heng Zhang
CPC classification number: G06T1/0007 , G06V10/225 , G06V20/63 , H04N23/67
Abstract: Methods and systems to focus an imager for machine vision applications are disclosed. A disclosed example machine vision method includes: capturing, via an imaging assembly, an image of an indicia appearing within a field of view (FOV) of the imaging assembly; recognizing, via a controller, the indicia as a focus adjustment trigger, the focus adjustment trigger operative to trigger an adjustment of at least one focus parameter associated with the imaging assembly; adjusting the at least one focus parameter based at least in part on the indicia; locking the at least one focus parameter such that the at least one focus parameter remains unaltered for a duration; and responsive to the locking of the at least one focus parameter, capturing, via the imaging assembly, at least one subsequent image of an object of interest.
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公开(公告)号：US20230199310A1
公开(公告)日：2023-06-22
申请号：US17554704
申请日：2021-12-17
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Miroslav Trajkovic , Heng Zhang , Igor Vinogradov
IPC: H04N5/232
CPC classification number: H04N5/23212
Abstract: A system and methods for performing focus tuning of an imaging system. The method includes an image sensor obtaining a plurality of images, with each image obtained at a different focus of a tunable optical element. A processor identifying a reference element in at least one of the images of the plurality of images. The processor then determines a reference image that includes the reference element and identifies a reference focus of the tunable optical element. The processor then stores the identified reference focus in a memory.
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公开(公告)号：US20230112116A1
公开(公告)日：2023-04-13
申请号：US17491374
申请日：2021-09-30
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Adithya H. Krishnamurthy , Miroslav Trajkovic , Justin F. Barish
IPC: G06Q10/08 , G05B19/418
Abstract: An example method includes: during a container load process, controlling a sensor assembly to capture sensor data depicting a container interior; detecting, from the sensor data, items in the container interior; determining, based on the detected items, first and second load process metrics associated with first and second targets; generating first and second normalized metrics based on the first and second load process metrics, and the first and second targets; obtaining a first weighting factor associated with the first load process metric, and a second weighting factor associated with the second load process metric; combining the first normalized metric and the first weighting factor, with the second normalized metric and the second weighting factor, to generate an aggregated load process metric; and transmitting a control command according to the aggregated load process metric; and rendering, at an indicator device, a load process state indicator according to the control command.
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9.发明授权公开(公告)号：US10977813B2
公开(公告)日：2021-04-13
申请号：US16537294
申请日：2019-08-09
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Miroslav Trajkovic , Adithya H. Krishnamurthy , Bryn P. Martino
Abstract: A system and method for performing robust depth calculations with time of flight (ToF) sensors using multiple exposure times is disclosed. A three-dimensional (3D) depth sensor assembly captures a first array of n point values, where each point value of the first array has a respective first-array depth component and a respective first-array quality component. The 3D depth sensor assembly then captures a second array of n point values, where each point value of the second array has a respective second-array depth component and a respective second-array quality component. A processor then renders a 3D point cloud comprising a third array of n point values, where each point value of the third array has a respective third-array depth component. The respective third-array depth component for each point value of the third array is based on either the corresponding respective first-array depth component or the corresponding respective second-array depth component.
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公开(公告)号：US20200160092A1
公开(公告)日：2020-05-21
申请号：US16193820
申请日：2018-11-16
Applicant: Zebra Technologies Corporation
Inventor： Miroslav Trajkovic , Heng Zhang
Abstract: A method and apparatus for template matching to find a predetermined pattern in an image is disclosed. A first visual boundary is detected in the captured image, and a second boundary concentric with the first boundary is calculated. The first and second boundaries define a portion of the captured image. The portion of the captured image is incrementally scanned about the center of the second boundary for a predetermined pattern having a predetermined orientation within the portion that match a template image. Alternatively, the portion of the captured image is unwrapped into a linear band image such that the first and second boundaries form a linear top and linear bottom of the linear band image, and the linear band image of the portion of the captured image is scanned for a predetermined pattern that matches a template image.
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