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:
Apr. 07, 2020

Filed:

Aug. 25, 2016
Applicants:

Rajeev Sharma, State College, PA (US);

Joonhwa Shin, State College, PA (US);

Youngrock Yoon, Knoxville, TN (US);

Donghun Kim, State College, PA (US);

Inventors:

Rajeev Sharma, State College, PA (US);

Joonhwa Shin, State College, PA (US);

Youngrock Yoon, Knoxville, TN (US);

Donghun Kim, State College, PA (US);

Assignee:

VideoMining Corporation, State College, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 20/20 (2012.01); G06Q 10/10 (2012.01); G06Q 20/12 (2012.01); G06K 9/00 (2006.01); G06F 16/51 (2019.01); G06F 16/583 (2019.01); G06F 16/58 (2019.01);
U.S. Cl.
CPC ...
G06Q 20/202 (2013.01); G06F 16/51 (2019.01); G06F 16/5854 (2019.01); G06F 16/5866 (2019.01); G06K 9/00288 (2013.01); G06Q 10/10 (2013.01); G06Q 20/12 (2013.01);
Abstract

A method and system for associating a mobile device carried by a shopper with Point-of-Sale (PoS) data from that shopper's transaction at a retail location. Specifically, the association can utilize face data that was associated with the mobile device to match face data that was generated by association with PoS data. The association with a mobile device can also include the calculation of a mobile trajectory to enable the generation of a shopper profile including shopper behavior. The mobile to PoS association can include tracking of the mobile device throughout a retail location to form a trajectory. The association of a face to a mobile device can utilize the device's MAC address and repeat visit analysis to determine a match. The association of a face to PoS data can utilize the aligning of event time series based on a dynamic time disparity to match checkout events with PoS events.


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