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:
Oct. 22, 2024

Filed:

May. 17, 2023
Applicant:

Assurant, Inc., New York, NY (US);

Inventors:

Stuart Saunders, Lakewood, OH (US);

Anthony Coble, New York, NY (US);

Nathan Breitsch, New York, NY (US);

Mircea Ionescu, Wooster, OH (US);

Assignee:

Assurant, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 18/214 (2023.01); G06T 15/30 (2011.01); G06T 15/40 (2011.01); G06V 10/10 (2022.01); G06V 10/24 (2022.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06V 10/17 (2022.01); G06F 18/214 (2023.01); G06N 3/08 (2013.01); G06T 15/30 (2013.01); G06T 15/40 (2013.01); G06V 10/24 (2022.01); G06V 10/764 (2022.01);
Abstract

A system, apparatus, method and computer program product are provided for determining a mobile device integrity status. Images of a mobile device captured by the mobile device and using a reflective surface are processed with various trained models, such as neural networks, to verify authenticity, detect damage, and to detect occlusions. A mask may be generated to enable identification of concave occlusions or blocked corners of an object, such as a mobile device, in an image. Images of the front and/or rear of a mobile device may be processed to determine the mobile device integrity status such as verified, not verified, or inconclusive. A user may be prompted to remove covers, remove occlusions, and/or move the mobile device closer to the reflective surface. A real-time response relating to the mobile device integrity status may be provided. The trained models may be trained to improve the accuracy of the mobile device integrity status.


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