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:
Mar. 09, 2021

Filed:

Sep. 28, 2018
Applicant:

Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);

Inventors:

Joshua Eno, Denver, CO (US);

Lindy Williams, Broomfield, CO (US);

Wesley Boyer, Denver, CO (US);

Kevin Brackney, Westminster, CO (US);

Bergen Davell, Wheat Ridge, CO (US);

Khoa Truong Pham, Centennial, CO (US);

Assignee:

Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/32 (2006.01); G06T 17/05 (2011.01); G06F 3/0482 (2013.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06K 9/6263 (2013.01); G06F 3/0482 (2013.01); G06K 9/3241 (2013.01); G06N 20/00 (2019.01); G06T 17/05 (2013.01);
Abstract

An exemplary geospatial image processing system generates, based on multiple detections of an object of interest detected by a computer vision model in multiple, correlated images of a geospatial location captured from different camera viewpoints, user interface content that includes a visual indication of the detected object of interest superimposed at an object position on a view of the geospatial location. The system provides the user interface content for display in a graphical user interface view of a user interface and provides, by way of the user interface, a user interface tool configured to facilitate user validation of one or more of the multiple detections of the object of interest. The system may receive, a user validation of one or more of the multiple detections of the object of interest and may train the computer vision model based on the user validation. Corresponding methods and systems are also disclosed.


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