Zebra Technologies Corporation

Bassam S Arshad

Charles Burton Swope

Jay J Williams

Stanko Jelavic

Justin F Barish

Yan Zhang

Adithya H Krishnamurthy

Chinmay Nanda

Paul Seiter

Chih Huan Chien

A method includes: obtaining, from a sensor disposed on a transporter, a set of beacon identifiers and proximity indicators, the beacon identifiers emitted by respective beacons mounted proximate to a boundary separating an exterior of a container from an interior of the container; determining whether the set of beacon identifiers and proximity indicators indicates a transition of the transporter across the boundary; when the determination is affirmative, detecting, based on the set of beacon identifiers and proximity indicators, a direction of travel of the transporter relative to the boundary; and generating a transition event including an identifier of the transporter, an identifier of the container, and the direction of travel.

Method, system and apparatus for detecting container transition events

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.

System and method for automatic container configuration using fiducial markers

A server includes: a memory storing calibration data; and a processor connected with the memory, the processor configured to: obtain a point cloud depicting a capture volume containing a transporter having a body and a holder carrying an object to be dimensioned; obtain a set of positions associated with the transporter; based on the set of positions and the calibration data, select a first portion of the point cloud excluding the body of the transporter and a mast of the holder; based on the calibration data, select a second portion of the point cloud from the first portion, excluding a base of the holder; and dimensioning the object based on the second portion of the point cloud.

Transporter segmentation for data capture system

A server includes: a memory storing calibration data; and a processor connected with the memory, the processor configured to: obtain a point cloud depicting a capture volume containing a transporter having a body and a holder carrying an object to be dimensioned; obtain a set of positions associated with the transporter; based on the set of positions and the calibration data: generate side cutting planes corresponding to sides of the body of the transporter; generate a front cutting plane corresponding to a forward surface of a mast of the holder; and discard points between the side cutting planes and the front cutting plane to obtain a first portion of the point cloud; based on the calibration data, select a second portion of the point cloud from the first portion, excluding a base of the holder; and dimension the object based on the second portion of the point cloud.

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Mundelein, IL, United States of America

Bassam S Arshad