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:
Jul. 21, 2026

Filed:

May. 22, 2022
Applicant:

Wicket, Llc, Las Vegas, NV (US);

Inventors:

Yann Henon, Somerville, MA (US);

Samson Timoner, Cambridge, MA (US);

Gennady Livitz, Belmont, MA (US);

Patrick Quinlan, Brooklyn, NY (US);

Assignee:

Wicket, LLC, Las Vegas, NV (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/50 (2022.01); G06F 21/32 (2013.01); G06V 10/74 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06V 40/50 (2022.01); G06F 21/32 (2013.01); G06V 10/761 (2022.01); G06V 40/172 (2022.01);
Abstract

Nodes of systems according to the invention perform facial recognition on persons imaged by their respective camera(s) to permit or deny access to resources secured. Recognition is performed using images of faces of known persons stored in the central KP database. Each node maintains a local database with images, vectors or other representations downloaded from the central database for at least some of those facial images. If a node determines that an image acquired by it of a known individual is a candidate for inclusion in the central database based on the quality of the image and of a face depicted in it and on the similarity between that faces and ones in the local database, it can upload it to the server for further consideration. The server can, in turn, determine whether a candidate ought to, in fact, be placed in the central database based on whether that image represents a 'life change' in the respective known person, such as aging, weight gain/loss, changes or addition of eyewear, changes in facial hair, and so forth. If so, the central database is updated by way of addition of the candidate image and at least that portion of the database is redistributed to the nodes for use in further recognition activities.


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