公开(公告)号：US12211001B2

公开(公告)日：2025-01-28

申请号：US17491374

申请日：2021-09-30

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Adithya H. Krishnamurthy ,  Miroslav Trajkovic ,  Justin F. Barish

IPC: B65G67/20 ,  G05B19/418 ,  G06Q10/087 ,  B65G69/28

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.

公开(公告)号：US20240289604A1

公开(公告)日：2024-08-29

申请号：US18114777

申请日：2023-02-27

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Anatoly Kotlarsky ,  Andrea Mirabile ,  Francesco Lupo ,  Miroslav Trajkovic

IPC: G06N3/08 ,  G06K7/14

CPC classification number: G06N3/08 ,  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; decoding, by the scanner device, a first barcode represented in the first image data; determining a first item template associated with the first barcode, the first item template comprising first identifier data identifying the first item from among other items and first region-of-interest data specifying a first region-of-interest of the first item; generating second image data comprising the first region-of-interest of the first image data; determining, by a first machine learning model, that the second image data corresponds to the first identifier data identifying the first item; and generating first data indicating that the first barcode is matched with the first item.

公开(公告)号：US20240037907A1

公开(公告)日：2024-02-01

申请号：US17874384

申请日：2022-07-27

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： David S. Koch ,  Miroslav Trajkovic ,  Yan Zhang ,  Sam Leitch ,  Dimitry Kapmar

IPC: G06V10/764 ,  G06V10/44 ,  G06V10/22 ,  G06V10/774 ,  G06V10/74 ,  G06V10/147 ,  G06K7/14 ,  G06K7/10

CPC classification number: G06V10/764 ,  G06V10/44 ,  G06V10/225 ,  G06V10/774 ,  G06V10/74 ,  G06V10/147 ,  G06K7/1413 ,  G06K7/10722 ,  G06V2201/07

Abstract: A method includes: responsive to a scan command, controlling a sensor assembly to scan a machine-readable indicium within a sensor field of view; obtaining an image corresponding to the sensor field of view; determining, from the machine-readable indicium, a decoded item identifier and a scan confidence level associated with the decoded item identifier; determining, from the image, a classified item identifier corresponding to the machine-readable indicium, and a classification confidence level associated with the classified item identifier; selecting, based on the scan confidence level and the classification confidence level, one of the decoded item identifier and the classified item identifier; and generating output data based on the selected one of the decoded item identifier and the classified item identifier.

公开(公告)号：US20230244891A1

公开(公告)日：2023-08-03

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.

公开(公告)号：US11562561B2

公开(公告)日：2023-01-24

申请号：US17340828

申请日：2021-06-07

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Duanfeng He ,  Miroslav Trajkovic

IPC: G06K9/62 ,  G06V20/10 ,  G06N3/08

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.

公开(公告)号：US20210264630A1

公开(公告)日：2021-08-26

申请号：US16801792

申请日：2020-02-26

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Adithya H. Krishnamurthy ,  Justin F. Barish ,  Miroslav Trajkovic

IPC: G06T7/593 ,  G06T7/73 ,  G06T7/62

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.

公开(公告)号：US10977514B2

公开(公告)日：2021-04-13

申请号：US16193820

申请日：2018-11-16

Applicant: Zebra Technologies Corporation

Inventor： Miroslav Trajkovic ,  Heng Zhang

IPC: G06K9/62 ,  G06K9/32 ,  G06K9/46

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.

公开(公告)号：US20210042982A1

公开(公告)日：2021-02-11

申请号：US16537294

申请日：2019-08-09

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Miroslav Trajkovic ,  Adithya H. Krishnamurthy ,  Bryn P. Martino

IPC: G06T15/00 ,  G06T7/50 ,  G01S17/42 ,  G01S7/51

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.