公开(公告)号：US10957060B2

公开(公告)日：2021-03-23

申请号：US16359727

申请日：2019-03-20

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Raghavendra Tenkasi Shankar ,  David S. Koch ,  Zhijia Yuan

IPC: G01M17/02 ,  G01B11/22 ,  G01B21/18 ,  G06T7/521

Abstract: A method of detecting sensor obstructions in a computing device includes: at an emitter, emitting a beam of light through a scan window toward a treaded surface; at an image sensor, for a sequence of positions of the computing device along the treaded surface: capturing a sequence of images corresponding to the sequence of positions, each image in the sequence having a first region and a second region; wherein the first regions depict a first subset of reflections of the beam of light originating from a first depth range; and wherein the second regions depict a second subset of the reflections originating from a second depth range; at a controller: receiving the sequence of images; determining, based on the second regions, whether an intensity of the second subset of the reflections exceeds a occlusion threshold; and when the determination is affirmative, generating an alert indicating obstruction of the scan window.

公开(公告)号：US20200065537A1

公开(公告)日：2020-02-27

申请号：US16109359

申请日：2018-08-22

Applicant: Zebra Technologies Corporation

Inventor： Duanfeng He ,  Kenneth S. Bhella ,  Lindsay M. Fahmi ,  David S. Koch ,  Dongqing Chen

IPC: G06K7/14 ,  G06K9/32 ,  G06K9/78 ,  G06K9/20 ,  G06K7/10

Abstract: Embodiments of the present invention generally relate to the field of inventory management. In an embodiment, the present application is a method of reading barcodes. The method includes capturing, by an imaging assembly, an image of a target, the target including: (i) a symbol encoding a payload data, and (ii) a set of one or more alphanumeric characters containing a payload descriptor associated with the symbol; decoding, by a first processor, the symbol to extract the payload data; performing, by a second processor, an optical character recognition analysis on the set of one or more alphanumeric characters to identify the payload descriptor associated with the symbol; associating the payload data with the payload descriptor, resulting in an associated pair; and forwarding the associated pair to a third processor for further processing of the payload data based on the payload descriptor.

公开(公告)号：US20250104400A1

公开(公告)日：2025-03-27

申请号：US18371558

申请日：2023-09-22

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Neeta R. Joshi ,  David S. Koch ,  Dongqing Chen ,  Gokul Vellingiri

IPC: G06V10/774 ,  G06K7/14 ,  G06V10/25 ,  G06V10/764 ,  G06V20/70 ,  G06V30/10

Abstract: A method includes: capturing an image of an item; generating, from the image, a region of interest bounding the item; obtaining, from the image, candidate label data corresponding to the item; receiving a validation input associated with the candidate label data; and in response to the validation input, generating a training sample for a classification model, the training sample including (i) the region of interest and (ii) label data corresponding to the item.

公开(公告)号：US20250028918A1

公开(公告)日：2025-01-23

申请号：US18224893

申请日：2023-07-21

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Dongqing Chen ,  Kui Liu ,  Neeharika Nelaturu ,  David S. Koch

IPC: G06K7/14

Abstract: A method includes: capturing an image; partitioning the image into sub-images; for each sub-image: providing the sub-image to a detection model, receiving, from the detection model, one or more sub-image regions of interest (SROIs), each SROI defined by (i) a position of the SROI, and (ii) one of a set of symbology categories, each symbology category encompassing a plurality of barcode symbologies; generating one or more regions of interest (ROI) from the SROIs, each ROI defined by a position of the ROI in the image, and a symbology category; and providing the ROIs to a decoder.

公开(公告)号：US11138748B2

公开(公告)日：2021-10-05

申请号：US16136749

申请日：2018-09-20

Applicant: Zebra Technologies Corporation

Inventor： Raghavendra Tenkasi Shankar ,  David S. Koch

IPC: G06T7/00 ,  G06T7/50 ,  G01B11/22 ,  G06T7/11

Abstract: A method for classifying depth scan data at a computing device includes: obtaining, at the computing device, a set of depth measurements and a graphical representation of the depth measurements; automatically selecting, at the computing device, a subset of the depth measurements indicating a region of interest; rendering, on a display of the computing device, an image including (i) the graphical representation of the depth measurements and (ii) a graphical indication of the region of interest overlaid on the graphical representation of the depth measurements; receiving, via an input device, a selection associated with the image; and generating a region of interest indicator based on the subset of the depth measurements and the selection.

公开(公告)号：US10816327B2

公开(公告)日：2020-10-27

申请号：US16136740

申请日：2018-09-20

Applicant: Zebra Technologies Corporation

Inventor： Zhijia Yuan ,  David S. Koch

IPC: G01M17/02 ,  G01B11/22 ,  G01L17/00 ,  G01B21/18

Abstract: A device for measuring tread depth includes: an image sensor; first and second depth sensing modules spaced apart along a separation axis, each including (i) an emitter configured to emit a beam of light, and (ii) an optical assembly configured to direct reflections of the beam of light onto a respective region of the image sensor; a controller connected to the image sensor and configured, responsive to the device traversing a treaded surface, to: receive, from the image sensor, a sequence of images corresponding to sequential positions of the device traversing the treaded surface in a travel direction substantially perpendicular to the separation axis, the sequence of images depicting successive reflections of the beams from the treaded surface; determine, for each image in the sequence of images, a first depth measurement and a second depth measurement; and store, in a memory, the first and second depth measurements.

公开(公告)号：US20200098121A1

公开(公告)日：2020-03-26

申请号：US16136749

申请日：2018-09-20

Applicant: Zebra Technologies Corporation

Inventor： Raghavendra Tenkasi Shankar ,  David S. Koch

IPC: G06T7/50 ,  G06T7/11 ,  G01B11/22

Abstract: A method for classifying depth scan data at a computing device includes: obtaining, at the computing device, a set of depth measurements and a graphical representation of the depth measurements; automatically selecting, at the computing device, a subset of the depth measurements indicating a region of interest; rendering, on a display of the computing device, an image including (i) the graphical representation of the depth measurements and (ii) a graphical indication of the region of interest overlaid on the graphical representation of the depth measurements; receiving, via an input device, a selection associated with the image; and generating a region of interest indicator based on the subset of the depth measurements and the selection.