Symbol Technologies, LLC

Zebra Technologies Corporation

Cuneyt M Taskiran

Jay J Williams

Kevin J O'Connell

Yan Zhang

Kevin J O'connell

Ankur R Patel

Karthik Lakshminarayanan

Michael E Groble

David Korobov

Sheida Gohari

A technique for real-time trailer utilization measurement includes a three-dimensional depth monitor operable to monitor loading of a trailer and a processor operable to determine trailer utilization in real-time during loading of the trailer using image information from the monitor. A graphical user interface can receive utilization information from the processor and display a visual representation of real-time loading of the trailer. Utilization is a ratio of cumulative package volume to currently loaded volume of the trailer, wherein the cumulative package volume is determined from dimensional scans of packages to be loaded in the trailer and the currently loaded volume is determined by the monitor.

Real-time trailer utilization measurement

A method of determining a location for placement of a package in an imaging controller includes: obtaining depth data of a package space; detecting an occluded portion of the depth data representing an area of the package space obstructed by an occlusion; retrieving stored unobstructed depth data representing the area of the package space in the absence of the occlusion; replacing the occluded portion with the unobstructed depth data to generate patched depth data; obtaining, based on the patched depth data, a location within the package space for placement of a package; and presenting an indication of the location.

System and method of determining a location for placement of a package

A method and apparatus for receiving a depth frame from a depth sensor oriented towards an open end of a shipping container, the depth frame comprising a plurality of grid elements that each have a respective depth value, identifying one or more occlusions in the depth frame, correcting the one or more occlusions in the depth frame using one or more temporally proximate depth frames, and outputting the corrected depth frame for fullness estimation.

Methods and systems for occlusion detection and data correction for container-fullness estimation

A method and apparatus for (a) receiving a three-dimensional (3D) point cloud from a depth sensor that is oriented towards an open end of a shipping container, the point cloud comprising a plurality of points that each have a respective depth value, (b) segmenting the received 3D point cloud among a plurality of grid elements, (c) calculating a respective loaded-container-portion grid-element volume for each grid element, (d) calculating a loaded-container-portion volume of the shipping container by aggregating the calculated respective loaded-container-portion grid-element volumes, (e) calculating an estimated fullness of the shipping container based on the loaded-container-portion volume and a capacity of the shipping container; and (f) outputting the calculated estimated fullness of the shipping container.

Methods and systems for automatic fullness estimation of containers

Dimensions of an object associated with an electro-optically readable code are estimated by aiming a handheld device at a scene containing the object supported on a base surface. A scanner on the device scans the scene over a field of view to obtain a position of a reference point of the code associated with the object, and reads the code. A dimensioning sensor on the device captures a three-dimensional (3D) point cloud of data points of the scene in automatic response to the reading of the code. A controller clusters the point cloud into data clusters, locates the reference point of the code in one of the data clusters, extracts from the point cloud the data points of the one data cluster belonging to the object, and processes the extracted data points belonging to the object to estimate the dimensions of the object.

Apparatus for and method of estimating dimensions of an object associated with a code in automatic response to reading the code

A non-parametric method of, and system for, dimensioning an object of arbitrary shape, captures a three-dimensional (3D) point cloud of data points over a field of view containing the object and a base surface on which the object is positioned, detects a base plane indicative of the base surface from the point cloud, extracts the data points of the object from the point cloud, processes the extracted data points of the object to obtain a convex hull, and fits a bounding box of minimum volume to enclose the convex hull. The bounding box has a pair of mutually orthogonal planar faces, and the fitting is performed by orienting one of the faces to be generally perpendicular to the base plane, and by simultaneously orienting the other of the faces to be generally parallel to the base plane.

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Chicago, IL, United States of America

Cuneyt M Taskiran