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:
Nov. 17, 2020

Filed:

Jul. 08, 2019
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Aniruddh Raghu, Middlesex, GB;

Joseph Rutland, Norfolk, GB;

Christian Leistner, Graz, AT;

Andres Perez Torres, Cambridgeshire, GB;

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); H04N 5/225 (2006.01); G06K 9/46 (2006.01); G06K 9/66 (2006.01); G01N 21/88 (2006.01); G06T 7/194 (2017.01); G06N 3/04 (2006.01); G06N 7/00 (2006.01); G06Q 10/00 (2012.01);
U.S. Cl.
CPC ...
G06T 7/0008 (2013.01); G01N 21/8803 (2013.01); G01N 21/8806 (2013.01); G01N 21/8851 (2013.01); G06K 9/4604 (2013.01); G06K 9/66 (2013.01); G06T 7/0004 (2013.01); G06T 7/194 (2017.01); H04N 5/2256 (2013.01); G01N 2021/888 (2013.01); G06N 3/04 (2013.01); G06N 7/005 (2013.01); G06Q 10/20 (2013.01); G06T 2207/30164 (2013.01);
Abstract

A convolutional neural network may be trained to inspect subjects such as carbon fiber propellers for surface flaws or other damage. The convolutional neural network may be trained using images of damaged and undamaged subjects. The damaged subjects may be damaged authentically during operation or artificially by manual or automated means. Additionally, images of undamaged subjects may be synthetically altered to depict damages, and such images may be used to train the convolutional neural network. Images of damaged and undamaged subjects may be captured for training or inspection purposes by an imaging system having cameras aligned substantially perpendicular to subjects and planar light sources aligned to project light upon the subjects in a manner that minimizes shadows and specular reflections. Once the classifier is trained, patches of an image of a subject may be provided to the classifier, which may predict whether such patches depict damage to the subject.


Find Patent Forward Citations

Loading…