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公开(公告)号：US12160662B2
公开(公告)日：2024-12-03
申请号：US17554704
申请日：2021-12-17
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Miroslav Trajkovic , Heng Zhang , Igor Vinogradov
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：US12039398B1
公开(公告)日：2024-07-16
申请号：US18114891
申请日：2023-02-27
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Anatoly Kotlarsky , Christopher W. Brock , Andrea Mirabile , Francesco Lupo , Miroslav Trajkovic
CPC classification number: G06K7/10722 , G06K7/1413
Abstract: A method includes: capturing, by a scanner device comprising an image sensor, first image data representing at least a portion of a first item; detecting, by the scanner device, a first barcode represented in the first image data; decoding the first barcode to determine first identifier data for the first item; performing a lookup using the first identifier data to determine a first entry for the first item stored in a data store; generating a sub-image representing a region-of-interest of the first item; generating, using an image encoder, a first vector representation of the sub-image; comparing the first vector representation of the sub-image to at least one second vector representation stored in the data store in association with the first entry; and generating first data indicating that the first barcode is matched with the first item.
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公开(公告)号：US20230356966A1
公开(公告)日：2023-11-09
申请号：US17739961
申请日：2022-05-09
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Patrenahalli M. Narendra , Miroslav Trajkovic
CPC classification number: B65G67/04 , B65G43/08 , B65G2203/0216 , B65G2203/0233 , B65G2203/041
Abstract: A method includes: receiving, for items in a staging area, item identifiers and staged locations in facility coordinates, as detected via a sensor; obtaining a load configuration including a load sequence defining an order for loading the items into a container, and a load location within the container for each item, in container coordinates; according to the load sequence, for each item: retrieving the corresponding staged location (in facility coordinates) and load location (in container coordinates); providing loading guidance including the retrieved staged location and the retrieved load location, for rendering of the loading guidance in one of the facility coordinate system and the container coordinate system; and responsive to placement of the item in the container, receiving and storing an actual load location, in the container coordinate system; and during an unloading operation, presenting unloading guidance including the actual load locations of the items.
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14.发明公开公开(公告)号：US20230274820A1
公开(公告)日：2023-08-31
申请号：US17683012
申请日：2022-02-28
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Miroslav Trajkovic , Stuart Peter Hubbard
Abstract: A system and method for resource and task allocation are disclosed herein. An example system includes a tracking subsystem configured to track locations and availability of resources; a data acquisition subsystem configured to obtain current status attributes for a patient; a condition detection engine configured to determine, based on the current status attributes and historical medical data, a predicted condition for the patient; a response engine configured to determine, based on the predicted condition, the historical medical data, and a medical history for the patient, a response plan including a resource type to respond to the predicted condition; an allocation engine configured to: obtain the response plan from the response engine; obtain, from the tracking subsystem, tracking data for each resource of the resource type; allocate a resource to be administered to the patient based on the current status attributes of the patient and the tracking data of the resource.
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公开(公告)号：US11443449B2
公开(公告)日：2022-09-13
申请号：US16801792
申请日：2020-02-26
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Adithya H. Krishnamurthy , Justin F. Barish , Miroslav Trajkovic
Abstract: Three-dimensional (3D) imaging systems and methods are described for implementing virtual grading of package walls in commercial trailer loading. The 3D imaging systems and methods comprise capturing, by a 3D-depth camera, 3D image data of a vehicle storage area. A package wall is determined, based on the set of 3D image data and by a 3D data analytics application (app) executing on one or more processors communicatively coupled to the 3D-depth camera, a package wall within the vehicle storage area. A wall grade is assigned to the package wall, where the package wall is defined within the set of 3D image data by a plurality of packages each having a similar depth dimension, and wherein the package wall has a wall height.
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Patent Agency Ranking
公开(公告)号：US20220270383A1
公开(公告)日：2022-08-25
申请号：US17743228
申请日：2022-05-12
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Igor Vinogradov , Miroslav Trajkovic , Heng Zhang
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：US11335105B2
公开(公告)日：2022-05-17
申请号：US16596704
申请日：2019-10-08
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Igor Vinogradov , Miroslav Trajkovic , Heng Zhang
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：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：US20210103754A1
公开(公告)日：2021-04-08
申请号：US16596704
申请日：2019-10-08
Applicant: ZEBRA TECHNOLOGIES CORPORATION
Inventor： Igor Vinogradov , Miroslav Trajkovic , Heng Zhang
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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