The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 15, 2020

Filed:

Aug. 19, 2016
Applicant:

Symbol Technologies, Llc, Lincolnshire, IL (US);

Inventors:

Ye Gu, Vernon Hills, IL (US);

Yan Zhang, Buffalo Grove, IL (US);

Bo Fu, Wheeling, IL (US);

Jay J. Williams, Glenview, IL (US);

Kevin J. O'Connell, Palatine, IL (US);

Assignee:

Symbol Technologies, LLC, Holtsville, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/34 (2006.01); G06K 9/62 (2006.01); G06Q 50/28 (2012.01); G06T 7/174 (2017.01); G06T 7/62 (2017.01); G06T 7/11 (2017.01); G06K 9/46 (2006.01); G06K 9/00 (2006.01); G06Q 10/08 (2012.01); G06T 7/60 (2017.01); G06T 7/00 (2017.01); G06T 7/77 (2017.01); G06T 7/55 (2017.01); G06T 7/90 (2017.01);
U.S. Cl.
CPC ...
G06K 9/6218 (2013.01); G06K 9/00771 (2013.01); G06K 9/4652 (2013.01); G06K 9/6223 (2013.01); G06Q 10/083 (2013.01); G06Q 50/28 (2013.01); G06T 7/11 (2017.01); G06T 7/174 (2017.01); G06T 7/55 (2017.01); G06T 7/60 (2013.01); G06T 7/62 (2017.01); G06T 7/77 (2017.01); G06T 7/90 (2017.01); G06T 7/97 (2017.01); G06K 2209/19 (2013.01); G06T 2207/10024 (2013.01);
Abstract

Methods, systems, and apparatus for segmenting and dimensioning objects are disclosed. An example method disclosed herein includes determining a first sensor of a plurality of sensors toward which a vehicle is moving based on image data generating by the plurality of sensors; designating the first sensor as a reference sensor; combining the image data from the plurality of sensors to generate combined image data representative of the vehicle and an object carried by the vehicle, the combining based on reference sensor; generating a plurality of clusters based on the combined image data; and identifying a first one of the clusters nearest the reference sensor as the object.


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