Bally Gaming, Inc.

Rlt Acquisition, Inc.

Sg Gaming, Inc.

Lnw Gaming, Inc.

Lazer-tron Corporation

Other

Arcade Planet, Inc.

Proxense, LLC

Agincourt Gaming, LLC

Sierra Design Group

Bally Gaming International, Inc.

Lazer-tran Corporation

Rlt Acquisitions, Inc.

Bally Technologies, Inc.

Rtl Acquition, Inc.

Bryan M Kelly

Matthew F Kelly

Martin S Lyons

Dennis Lockard

Norman B Petermeier

John G Kroeckel

Jeffrey C Tallcott

Robert William Crowder

Jeffrey Lee Allen

Gennady I Soliterman

J Richard Oltmann

Stephen Patton

Robert A Luciano, Jr

John E Link

John F Link

Sean Christopher Martin

Kiran Brahmandam

Vijay Krishna Kompella

Pravinkumar Patel

Anthony E Green

Frank J Silvestro

Mettu R Reddy

Robert Luciano

Reddy Rupanagudi

John Sommer

Terrin Eager

Patricia A McMahan

Paul C McLaughlin

Ryan Randazzo

Joseph Randolph Hedrick

Scott Thomas Hilbert

Jeffrey C Talcott

Joshua D Larsen

Randy Hedrick

Sudheer Vemuri

Thomas Scott

Christopher D Barton

Rod Ang

Karl Wudtke

David L Brown

Fred S Hirt

Wayne W Walkwitz

John Joseph Giobbi

Yogendrasinh Hematji Rajput

Kenneth J Eichmann

Paul J Ferrara

Murugeshun Arun Arumugam

Theodore Keenan

Vernon Bernard

Timothy Bucher

John R Vallejo

Robert W Crowder

Micheal Shackelford

Bruce Rowe

Alexandra Taylor

Michael Stacey

Joseph Lerner

Mohan Kumar Areanalli Manju

Mike Mitchell

Robert Luciano, Sr, Legal Representative

Jeffery C Tallcott

John Garofalo

Julia Childs

Phillip Yee

Gordon H Myers

Michael J Mitchell

Lawrence C McAllister

Rolland Steil

Frank R Anderson

Kay Daniel Vetter

Vernon H Bernard, Ii

Thomas P Doyle

Ronald C Gallaway

Paul Sturtevant

John J Goodman

Jayash J Lad

Kevin A Heyes

Keven A Heyes

Joseph L Tallarico

Daniel Savage

Ray Maras

John J Gobbi

Stephen P Shoemaker, Jr

David B Schultz

Kimberly Cohn

Morton Grosser

William R Wadleigh

Roderick Ang

Dougal Austin

Christopher P Arbogast

David Ponce

Amy Lynn Monette

William Decoux

Vamsi Krishna Gandu

Joanna Musick

Mark Foxworth

Sethuram Shivashankar

David Bunch

Stephen Pallon

Robert Hendrickson

Methods and systems of monitoring at least one feature associated with a patron in a gaming establishment. Such methods and systems may include detecting at least one physical feature associated with the patron and/or motions of one or more players participating in a game.

Systems and devices for identification of a feature associated with a user in a gaming establishment and related methods

A system and method provides biometric authentication using proximity and secure information on a Personal Digital Key (PDK). The PDK is associated with and carried by a user. The PDK wirelessly communicates with a receiver/decoder circuit (RDC) that can be coupled to a variety of electronic devices. The PDK stores a biometric profile of a legitimate user in a secured memory. The PDK acquires biometric input from a user using a biometric reader of the PDK responsive to receiving a request for a biometric authentication of the legitimate user. The PDK compares the biometric input to the biometric profile to determine whether the biometric input matches the biometric profile. A secure wireless communication link is established between the PDK and a reader device responsive to a determination that the biometric input matches the biometric profile and the PDK device is within a predefined proximity of the reader device. The PDK device sends an identification code uniquely identifying the PDK device over the secure wireless communication link to the reader device. The reader device sends information including the identification code to a trusted third-party system for authentication.

Biometric authentication using proximity and secure information on a user device

A method and apparatus to automatically modify one or more presentation attributes of a gaming system. For instance, the gaming system detects, via analysis of an image data by a neural network model, an appearance of one or more features of a gaming surface. The gaming system further automatically modifies, via the neural network model in response to detecting the appearance of the one or more features, a presentation attribute associated with presentation of gaming content via a designated area of the gaming surface. The gaming system further projects, via a projection system based on the modified presentation attribute, the gaming content onto the designated area of the gaming surface.

Gaming environment tracking system calibration

Disclosed are a system and method for training a neural network associated with a casino table game monitoring system. Synthetic images of objects extracted from a virtual table game environment are used to train a machine learning model, which is deployed to a casino table game monitoring system to monitor one or more physical objects relative to a physical gaming table in a physical table game environment.

System and method for synthetic image training of a machine learning model associated with a casino table game monitoring system

A system that analyzes an image of a gaming area, identifies an object depicted in the image and generates a virtual mask that conforms to a shape of the object. The system further maps the virtual mask to locations in a virtual scene that correspond to pixels in the image that correspond to the outer shape of the object. The system renders content in the virtual scene relative to a boundary of the mask based on the relevance of the physical object to the game state. The system instructs a projector to project the rendered image in relation to the physical object according to the content rendered relative to the mask.

Gaming state object tracking

A gaming system that receives a frame of image data captured by a camera at a gaming table, generates a set of images from portions of the frame of image data, and determines whether the set of images meets an input requirement of a neural network model. If the set of images does not meet the input requirement, the gaming system modifies, by an incremental amount, an image property of a subset from the set of images until the set of images meets the input requirement. When the set of images meets the input requirement, the gaming system transmits the set of images as a unit (e.g., as a composite of the set of images) to the neural network model for concurrent analysis.

Gaming environment tracking optimization

A gaming terminal includes an input device, an image sensor, and logic circuitry. The logic circuitry detects user input received at the input device and that is associated with a restricted action, receives, via the image sensor, image data that corresponds to the user input, applies at least one neural network model to the image data to classify pixels of the image data as representing human characteristics including at least one face and at least one pose model, compares, based at least partially on pixel coordinates of (i) the human characteristics within the received image data and (ii) a user input zone within the image data, each of the pose models to the user input zone and the faces, and permits, in response to one of the pose models matching (i) a face of the at least one face and (ii) the user input zone, the restricted action.

Gaming systems and methods using image analysis authentication

Disclosed are a system and method for training a neural network associated with a casino table game monitoring system. Synthetic images of objects extracted from a virtual table game environment are used to create a ground truth set, which is then used to train and test a neural network. When the neural network's classification of the extracted images is deemed accurate enough, the neural network may then be deployed in a casino to track the use of corresponding physical objects in real casino table game play as part of the casino table game monitoring system.

System and method for synthetic image training of a neural network associated with a casino table game monitoring system

A method and apparatus to automatically calibrate one or more attributes of a gaming system. For instance, the gaming system detects, via electronic analysis of an image by a neural network model, one or more objects (e.g., one or more coded, fiducial markers) that are planar with a surface of a gaming table. The gaming system further determines, via an isomorphic transformation associated with the one or more objects, a difference (e.g., in position and orientation) between the one or more objects and one or more physical features of the gaming table visible in the image. The gaming system automatically calibrates the gaming system based on the difference.

A system including an image sensor that captures image data of a gaming table and a player area, and a tracking controller communicatively coupled to the image sensor. The tracking controller detects a player and a token set from the captured image data by applying an image neural network model to the image data to generate at least one key player data element for the player and at least one key token data element for the token set, generates a player data object representing physical characteristics of the player based on the key player data elements, links the player data object to a player identifier of the player, generates a token identifier based on the key token data elements, and links the token identifier to the player data object based on a physical relationship between the player and the token set indicated by the key data elements.

Systems and methods of automated linking of players and gaming tokens

Disclosed is a method and system involving augmenting content. The system augments content for an active event subject to a focus of a user, in an environment including a presentation of two or more active events. The system includes: a user focus determination unit including a camera that captures video data associated with the focus of the user; a memory and a buffer that store digital fingerprints from the events; an active content determination component that compares one or more digital fingerprints from an active event with the captured video for determination of the event being focused on by the user; and a display that displays content and augments the determined active event being focused upon by the user that was identified by the active content determination component.

System and method for augmenting content

Growing community of inventors

Alamo, CA, United States of America

Bryan M Kelly