公开(公告)号：US20240177587A1

公开(公告)日：2024-05-30

申请号：US18070750

申请日：2022-11-29

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Charles W. Roark ,  Allan Perry Herrod ,  Adithya H. Krishnamurthy

IPC: G08B21/04

CPC classification number: G08B21/0476

Abstract: An example server includes a memory configured to store sensor data from a plurality of sensors in a facility; a communications interface; and a processor interconnected with the memory and the communications interface, the processor configured to: in response to receiving, via the communications interface, an event indicator from a source sensor of a client device: identify a subset of the plurality of sensors based on the event indicator; retrieve and correlate the sensor data from the identified subset of the plurality of sensors in the facility; detect a candidate event associated with a user of the client device from the correlated sensor data; and when the candidate event is detected, send an event notification to the client device.

公开(公告)号：US20220230339A1

公开(公告)日：2022-07-21

申请号：US17154472

申请日：2021-01-21

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Bassam S. Arshad ,  Justin F. Barish ,  Jay J. Williams ,  Adithya H. Krishnamurthy

IPC: G06T7/586 ,  G06T7/73 ,  G06T7/521

Abstract: Methods and systems for determining rotation and clipping parameters for images of unit load devices (ULDs) are disclosed herein. An example method includes capturing a set of image data featuring a ULD. The example method may further include locating a fiducial marker proximate to the ULD within the set of image data. The example method may further include cropping the set of image data, based upon the located fiducial marker, to generate a set of marker point data and a set of floor point data. The example method may further include rotating the set of image data based upon the set of marker point data and the set of floor point data, and clipping the rotated set of image data based upon the set of marker point data and the set of floor point data.

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：US20210256682A1

公开(公告)日：2021-08-19

申请号：US16795243

申请日：2020-02-19

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Justin F. Barish ,  Adithya H. Krishnamurthy

IPC: G06T7/00 ,  G06T15/00 ,  G06T7/593

Abstract: Three-dimensional (3D) imaging systems and methods are disclosed for detecting and dimensioning a vehicle storage area. A 3D-depth camera captures 3D image data comprising one or more 3D image datasets of the vehicle storage area during corresponding one or more image capture iterations. A 3D data analytics application (app) executing on one or more processors communicatively coupled to the 3D-depth camera and for each one or more image capture iterations, updates a number of planar regions detected within the one or more 3D image datasets. The 3D data analytics app further assigns a vehicle storage area type to the vehicle storage area based on the number of planar regions detected by the 3D analytics app over the one or more image capture iterations.

公开(公告)号：US11009604B1

公开(公告)日：2021-05-18

申请号：US16779477

申请日：2020-01-31

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Justin F. Barish ,  Adithya H. Krishnamurthy

IPC: G01S17/04 ,  G06Q50/28 ,  G06Q10/08 ,  H04N13/204

Abstract: Methods for detecting if a Time of Flight (ToF) sensor is looking into a container are disclosed herein. An example method includes capturing a three-dimensional image. The three-dimensional image may comprise three-dimensional point data having a plurality of points. The example method may further include analyzing the plurality of points to determine a plurality of image components. Each image component may be representative of the plurality of points. The example method may further include comparing each image component of the plurality of image components to a threshold value. Each image component may correspond to a respective threshold value. The example method may further include determining that a number of image components N of the plurality of image components satisfy the respective threshold values, and determining the presence or absence of the container by comparing the number of image components N to an agreement threshold X.

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.