Zebra Technologies Corporation

Symbol Technologies, LLC

Chinmay Nanda

Patrick Martin Brown

Richard Mark Clayton

Paul Seiter

Charles Burton Swope

Robert E Beach

Lucjan K Perlowski

Stanko Jelavic

John Janos Bozeki

Matthew B Hayes

Miguel X Gines

Bassam S Arshad

Yosef Nofal

In some implementations, a robotic device may receive, from a first light detection and ranging (LIDAR) sensor and a second LIDAR sensor, calibration data associated with a physical environment of a robotic arm of the robotic device. The robotic device may determine, based on the calibration data, a configuration of a boundary for the robotic arm. The robotic device may position, relative to the robotic arm, the first LIDAR sensor at a first position and the second LIDAR sensor at a second position to sense an activity within the boundary. The robotic device may monitor the boundary based on first sensor data from the first LIDAR sensor and second sensor data from the second LIDAR sensor. The robotic device may disable, based on the first sensor data or the second sensor data indicating the activity associated with the boundary, the robotic arm from moving within the boundary.

Lidar sensor system for enabling or disabling use of a robotic arm

A label modification unit may receive a label modification input that indicates a label modification associated with content being written to a label or erased from the label. The label modification unit may identify an area of the label that is associated with the label modification according to the label modification input. The label modification unit may determine, based on a size of the area, a spot size of a light beam that is configured to be emitted by a laser printhead to modify the content within the area. The label modification unit may determine, based on the spot size and the content, an optical path configuration for the laser printhead. The label modification unit may operate the laser printhead according to the optical path configuration to write the content to the area or erase the content from the area.

Control of laser printhead for writing or erasing content

A calibration system includes: a reference device including an array of markers at predetermined positions; a camera; and a computing device configured to: store reference data defining the predetermined positions of the markers in a capture volume frame of reference; obtain a calibration image of the reference device captured by the camera; detect image positions of the markers in the calibration image, the image positions defined according to camera frame of reference; based on the image positions of the markers and the reference data, generate calibration data mapping coordinates in the camera frame of reference to coordinates in the capture volume frame of reference.

Calibration system and method for data capture system

A laser printhead assembly for a laser printhead is disclosed herein. The laser printhead assembly may include a laser containment door; and a laser containment housing that is configured to form a sealed enclosure with a label support of a rewriteable label. The sealed enclosure may be configured to include the rewriteable label and the laser printhead. The laser containment door, in a laser-enabled position, may be configured to permit the laser printhead, via a light beam, to modify the rewriteable label and the laser containment door, in a laser-disabled position, may be configured to prevent a light beam from escaping the laser containment housing.

Laser containment structure for a laser printhead

A dimensioning system includes: an emitter assembly to project a planar light beam into a scan volume; first and second image sensors to capture images of overlapping first and second portions of the scan volume; and a controller configured to: in response to an object travelling through the scan volume, for a successive pair of intervals defined by an operational frequency: at a first interval of the pair, (i) control the emitter assembly to project the planar beam and (ii) control the first image sensor to capture a first image of a top and a first side of the object; at a second interval of the pair, (i) control the emitter assembly to project the planar beam and (ii) control the second image sensor to capture a second image of the top and a second side of the object; and generate a three-dimensional image from the first and second images.

Interleaved image capture for dimensioning 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.

Transporter segmentation for data capture system

A plurality of three-dimensional (3D) cameras is deployed about a zone through which freight is conveyed to a shipping container. The 3D cameras have sensors with fields of view over which a plurality of point clouds of voxels are captured from the freight. A server combines the point clouds to obtain a composite point cloud of the freight, encloses the composite point cloud with a bounding box having dimensions, and dimensions the freight from the dimensions of the bounding box. An optional scale weighs the freight while it is being dimensioned and moved through the zone.

Arrangement for, and method of, loading freight into a shipping container

A method and apparatus for dimensioning an object carried by an automated pallet mover is disclosed. An example includes an image sensor configured to capture image data representative of a dimensioning area. A dimensioning coordinator is remotely located from an automated transportation system capable of moving the automated pallet mover. The dimensioning coordinator detects a dimensioning trigger condition associated with the pallet mover and sends first instructions to the automated transportation system to move the vehicle to the dimensioning area, and second instructions to coordinate movement of the vehicle and image capture operation to perform dimensioning on the object.

Methods and apparatus to coordinate movement of automated vehicles and freight dimensioning components

Described herein are methods and systems for high-precision locationing with depth values. One embodiment takes the form of a method that includes: receiving multiple depth values that correspond respectively to depth readings from multiple depth sensors positioned on a freight-moving vehicle and oriented towards an overhead surface, wherein different portions of the overhead surface are positioned at different heights above a floor surface, determining a position and orientation of the freight-moving vehicle at least in part by querying a lookup table using the received multiple depth values, wherein the lookup table maps respective heights of the respective different portions of the overhead surface to known positions of the different portions of the overhead surface; and outputting the determined position and orientation of the freight-moving vehicle.

Growing community of inventors

Port Jefferson Station, NY, United States of America

Chinmay Nanda