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:
Dec. 28, 2021

Filed:

Feb. 19, 2018
Applicant:

Yougetitback Limited, Cork, IE;

Inventors:

William Fitzgerald, Cork, IE;

Donal O'Shaughnessy, Cork, IE;

Donie Kelly, Cork, IE;

Paul O'Sullivan, Cork, IE;

Liam O'Callaghan, Cork, IE;

James Donovan, Cork, IE;

Shane Hallinan, Cork, IE;

Charlie McGrory, Cork, IE;

Wayne Morgan, Cork, IE;

Uday Chitturi, Cork, IE;

Patrick Conway, Cork, IE;

John Mollaghan, Cork, IE;

Kevin Sutton, Cork, IE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G01N 21/88 (2006.01); G01N 21/95 (2006.01); G06K 9/52 (2006.01); G06T 7/80 (2017.01); G06N 3/08 (2006.01); H04N 5/235 (2006.01); H04N 5/262 (2006.01); H04N 5/232 (2006.01); H04N 7/18 (2006.01); G06N 3/04 (2006.01); G06T 7/13 (2017.01); G01N 21/958 (2006.01);
U.S. Cl.
CPC ...
G06T 7/001 (2013.01); G01N 21/8851 (2013.01); G01N 21/95 (2013.01); G06K 9/52 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06T 7/0004 (2013.01); G06T 7/13 (2017.01); G06T 7/80 (2017.01); H04N 5/2353 (2013.01); H04N 5/2354 (2013.01); H04N 5/23222 (2013.01); H04N 5/2628 (2013.01); H04N 7/18 (2013.01); G01N 21/958 (2013.01); G01N 2021/8858 (2013.01); G01N 2021/8893 (2013.01); G01N 2021/9513 (2013.01); G01N 2201/0221 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30121 (2013.01);
Abstract

There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.


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