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:
Nov. 26, 2024

Filed:

Feb. 04, 2022
Applicant:

Veea Inc., New York, NY (US);

Inventors:

Allen Salmasi, New York, NY (US);

Clint Smith, New York, NY (US);

Assignee:

VEEA Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 84/18 (2009.01); G06F 9/455 (2018.01); G06T 19/00 (2011.01); G06V 10/46 (2022.01); H04L 67/00 (2022.01); H04L 67/1008 (2022.01); H04L 67/63 (2022.01); H04W 4/029 (2018.01); H04W 48/18 (2009.01);
U.S. Cl.
CPC ...
H04W 84/18 (2013.01); G06F 9/45558 (2013.01); G06T 19/006 (2013.01); G06V 10/464 (2022.01); H04L 67/1008 (2013.01); H04L 67/34 (2013.01); H04L 67/63 (2022.05); H04W 4/029 (2018.02); H04W 48/18 (2013.01); G06F 2009/4557 (2013.01); G06F 2009/45595 (2013.01);
Abstract

An edge computing system configured to dynamically offload tasks from a user device to an edge device. The edge computing system may receive a processed sensory feed from the user device, analyze the received processed sensory feed, and generate mapper output results. The edge computing system may compare the generated mapper output results to information received from a datastore, identify a correlation between a feature included in the received processed sensory feed and a feature included in the received information, and determine whether a confidence value associated with the identified correlation exceeds a threshold value. The edge computing system may further process the received processed sensory feed locally in the edge computing system or send the received processed sensory feed to a cloud component for further processing based on whether the confidence value exceeds the threshold value.


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