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Adam S Vaughan, 52311 Cape Pacific, Costa Mesa, CA 92627

Known as:
Adam Sundeen Vaughan Adam S Vaughn Vaughan Adam Vaughan As
Related to:
Lloyd R Vaughan 78 Gayle Runyan 77 Paula Wenger 71 A N Lewis Runyan David Runyan 79

Adam Vaughan Phones & Addresses

311 Cape Pacific, Costa Mesa, CA 92627    949-3752383   

Newport Beach, CA   

Del Mar, CA   

Corona del Mar, CA   

Los Altos, CA   

Chico, CA   

Las Vegas, NV   

Henderson, NV   

Orange, CA   

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Mentions for Adam S Vaughan

Career records & work history

Lawyers & Attorneys

Adam Vaughan Photo 1

Adam Vaughan - Lawyer

Specialties:
Real Estate, Estate Planning, Wills & Living Wills, Wills & Living Wills
ISLN:
922004674
Admitted:
2013

Adam Vaughan resumes & CV records

Resumes

Adam Vaughan Photo 46

Adam Vaughan

Location:
Newport Beach, CA
Industry:
Real Estate
Work:
Mariners Escrow Corporation
Partner Vice President of Sales
Skills:
1031 Exchanges, Investment Properties, Fha, Sales, Property, Escrow, Real Estate, Real Estate Transactions, Residential Homes, Buyer Representation, Sellers, Selling, Reo, Condos
Adam Vaughan Photo 47

Adam Vaughan

Adam Vaughan Photo 48

Vice President Sales/Marketing Mariners Inc.

Location:
Orange County, California Area
Industry:
Real Estate

Publications & IP owners

Us Patents

Systems And Methods For Modeling And Controlling Physical Dynamical Systems Using Artificial Intelligence

US Patent:
2021030, Sep 30, 2021
Filed:
Feb 16, 2021
Appl. No.:
17/176217
Inventors:
- Walnut CA, US
Adam VAUGHAN - Walnut CA, US
International Classification:
G06K 9/00
G06K 9/32
G06T 7/00
G06T 7/13
G06T 7/90
Abstract:
The present disclosure provides systems, methods, and computer program products for controlling an object. An example method can comprise (a) obtaining video data of the object and (b) performing motion analysis on the video data to generate modified video data. The method can further comprise (c) using artificial intelligence (AI) to identify a set of features in the modified video data. The set of features may be indicative of a predicted state of the object. The AI may be been trained offline on historical training data. The method can further comprise (d) using the predicted state to determine a control signal and (e) transmitting, in real-time, the control signal to the object to adjust or maintain a state of the object in relation to the predicted state. Operations (a) to (d) can be performed without contacting the object.

Possible Relatives

Cynthia L Vaughan  David Vaughan  Dean M Vaughan  Deborah R Vaughan  Dana R Vaughan  Debra W Vaughan  Daniel R Vaughan  Adam R Johnson  Adam R Stancil  Adam Stanczak 

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