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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.

Patent No.:

US 10848709 B1

PDFFull Text
Date of Patent:
Nov. 24, 2020

Filed:

Sep. 17, 2018

Artificial intelligence based image data processing method and image processing device

Applicant:

Eaglesens Systems Corporation, Grand Cayman, KY;

Inventors:

Guangbin Zhang, Cupertino, CA (US);

Weihua Xiong, Cupertino, CA (US);

Assignee:

EAGLESENS SYSTEMS CORPORATION, George Town, KY;

Attorney:

Sheppard Mullin Richter & Hampton LLP

Primary Examiner:

Dhaval V Patel

Int. Cl.
CPC ...
G06K 9/32 (2006.01); H04N 7/01 (2006.01); G06T 5/00 (2006.01); G06K 9/46 (2006.01); G06T 5/50 (2006.01); H04N 5/232 (2006.01); H04N 7/12 (2006.01); H04N 19/85 (2014.01); H04N 19/167 (2014.01); G06K 9/00 (2006.01); H04N 19/86 (2014.01);
U.S. Cl.
CPC ...
H04N 7/0117 (2013.01); G06K 9/3233 (2013.01); G06K 9/3258 (2013.01); G06K 9/46 (2013.01); G06T 5/007 (2013.01); G06T 5/008 (2013.01); G06T 5/50 (2013.01); H04N 5/23229 (2013.01); H04N 5/23232 (2013.01); H04N 7/12 (2013.01); H04N 19/167 (2014.11); H04N 19/85 (2014.11); G06K 9/00664 (2013.01); G06K 9/00818 (2013.01); G06K 2209/15 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30201 (2013.01); G06T 2207/30252 (2013.01); H04N 19/86 (2014.11);
Abstract

An image data processing method includes receiving, from an image sensor, frame image data of a frame at a first resolution, reducing a resolution of the frame image data to a second resolution, performing image recognition on the frame image data to determine one or more regions of interest (ROI) and a priority level of each of the one or more ROIs, and extracting portions of the frame image data corresponding to the one or more ROIs. The method further includes modifying a resolution of the portions of the frame image data corresponding to the one or more ROIs based on the priority level of the ROIs, and combining the resolution-modified portions of the frame image data corresponding to the one or more ROIs with the frame image data at the second resolution to generate output frame image data.

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