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. 10, 2019

Filed:

Nov. 01, 2017
Applicant:

Synapse Technology Corporation, Sherman Oaks, CA (US);

Inventors:

Ian Cinnamon, Sherman Oaks, CA (US);

Bruno Brasil Ferrari Faviero, Coconut Creek, FL (US);

Simanta Gautam, Charlottesville, VA (US);

Assignee:

Synapse Technology Corporation, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/60 (2006.01); G06T 1/00 (2006.01); G06T 7/00 (2017.01); G06T 7/62 (2017.01); G06Q 50/26 (2012.01); G06K 9/46 (2006.01); G06K 9/32 (2006.01); G06K 9/62 (2006.01); G06K 9/20 (2006.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G06T 11/60 (2013.01); G06K 9/2054 (2013.01); G06K 9/3241 (2013.01); G06K 9/46 (2013.01); G06K 9/627 (2013.01); G06K 9/6267 (2013.01); G06Q 50/26 (2013.01); G06Q 50/265 (2013.01); G06T 1/0007 (2013.01); G06T 7/001 (2013.01); G06T 7/0004 (2013.01); G06T 7/62 (2017.01); G06T 7/73 (2017.01); G06K 2209/09 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20084 (2013.01);
Abstract

According to an aspect, a system comprises at least one processor, a memory, and a non-transitory computer-readable storage medium storing instructions. The stored instructions are executable to cause the at least one processor to: receive a digital image that represents an object scanned by a security scanning device, receive, from a neural network, information indicating an item identified within the image, receive, from a database, item data for the identified item, and generate, for output at a display, a graphical representation corresponding to the identified item based on the received item data, wherein the graphical representation indicates a location of the identified item by a neural network, and wherein the generated graphical representation comprises at least a portion of the digital image corresponding to the identified item, and output, for display, the graphical representation.


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