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:
Jan. 16, 2018

Filed:

Mar. 29, 2016
Applicant:

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

Inventors:

Mashhour Solh, San Jose, CA (US);

Yue Liu, Brighton, MA (US);

Gordon Lee, Cambridge, GB;

Bryan Taylor, Cambridge, GB;

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 5/225 (2006.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06T 7/40 (2017.01); G06T 3/40 (2006.01); H04N 5/232 (2006.01); G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06T 7/20 (2017.01); G06K 9/52 (2006.01); G06T 7/60 (2017.01);
U.S. Cl.
CPC ...
G06K 9/6267 (2013.01); G06K 9/00335 (2013.01); G06K 9/00362 (2013.01); G06K 9/00442 (2013.01); G06K 9/4652 (2013.01); G06K 9/4661 (2013.01); G06K 9/52 (2013.01); G06K 9/6215 (2013.01); G06T 3/40 (2013.01); G06T 7/0042 (2013.01); G06T 7/2033 (2013.01); G06T 7/408 (2013.01); G06T 7/60 (2013.01); H04N 5/2256 (2013.01); H04N 5/232 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20224 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Systems, methods and devices for automatically cropping images taken by an electronic device in order to determine the identity of a product contained in the image are described herein. A number of different techniques may be applied to perform the automatic cropping, including a focus sweep technique in which a first image is analyzed for the presence of a human being and then a second image is taken in a plane closer to the camera than the first image. The two frames are analyzed and a resultant image is provided that avoids the regions in which the human being is present to focus on the product. In other embodiments, a motion vector calculation is made between two images in which an individual is holding a product. The motion vectors related to the human are removed and a bounding box is calculated to reduce the size of the image to include a higher percentage of the product, such that the product can be more easily identified.


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