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. 24, 2017

Filed:

Jan. 24, 2017
Applicant:

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

Inventors:

Anthony Alexander Santos, Seattle, WA (US);

Adam James Finkelstein, Seattle, WA (US);

David Akira Gingrich, Seattle, WA (US);

David Michael Hurley, Seattle, WA (US);

Siqi Zhao, Seattle, WA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/66 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06K 9/46 (2006.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06K 9/66 (2013.01); G06F 17/3028 (2013.01); G06F 17/30256 (2013.01); G06K 9/46 (2013.01); G06K 9/6202 (2013.01); G06K 9/623 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01);
Abstract

A system that identifies attributes of an item depicted in an image using artificial intelligence is provided. For example, the system may use one or more deep belief networks (DBNs) or convolution neural networks (CNNs) trained to analyze images and identify attributes in items depicted in the images. A first artificial intelligence module may analyze an image to determine a type of item depicted in the image. The system may then select a second artificial intelligence module that is associated with the type of item and use the second artificial intelligence module to identify attributes in the item depicted in the image. Identified attributes, if associated with a confidence level over a threshold value, may be provided to a user. The user may provide feedback on the accuracy of the identified attributes, which can be used to further train the first and/or second artificial intelligence modules.


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