Patents by Inventor Adrian BULZACKI

Adrian BULZACKI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20190188957
    Abstract: Systems, methods, devices, and computer readable media for monitoring card game activities at gaming tables, such as for example, counting the number of card hands at gaming tables. The devices may include a sensor array network to detect game events; a microcontroller for running logic level code for checking sensors of the sensors of the sensor array network for pre-defined thresholds defining the detected game events and in response generating game event data; and a connection cable for coupling to a server device for transmitting the game event data. Systems may connect client hardware devices with sensors for monitoring card game activities. A game monitoring server may collect, process and aggregate hand event data received from the client hardware devices to generate hand count data for gaming tables. A front end interface device may receive notifications relating to hand count data for provision to end user systems.
    Type: Application
    Filed: February 22, 2019
    Publication date: June 20, 2019
    Inventors: Adrian BULZACKI, Vlad CAZAN
  • Patent number: 10242527
    Abstract: Systems, methods, devices, and computer readable media for monitoring card game activities at gaming tables, such as for example, counting the number of card hands at gaming tables. The devices may include a sensor array network to detect game events; a microcontroller for running logic level code for checking sensors of the sensors of the sensor array network for pre-defined thresholds defining the detected game events and in response generating game event data; and a connection cable for coupling to a server device for transmitting the game event data. Systems may connect client hardware devices with sensors for monitoring card game activities. A game monitoring server may collect, process and aggregate hand event data received from the client hardware devices to generate hand count data for gaming tables. A front end interface device may receive notifications relating to hand count data for provision to end user systems.
    Type: Grant
    Filed: October 16, 2015
    Date of Patent: March 26, 2019
    Assignee: ARB LABS INC.
    Inventors: Adrian Bulzacki, Vlad Cazan
  • Publication number: 20190035210
    Abstract: System, processes and devices for monitoring betting activities using bet recognition devices and a server. Each bet recognition device has an imaging component for capturing image data for a gaming table surface. The bet recognition device receives calibration data for calibrating the bet recognition device. A server processor coupled to a data store processes the image data received from the bet recognition devices over the network to detect, for each betting area, a number of chips and a final bet value for the chips.
    Type: Application
    Filed: October 3, 2018
    Publication date: January 31, 2019
    Inventors: Adrian BULZACKI, Vlad CAZAN
  • Patent number: 10096206
    Abstract: System, processes and devices for monitoring betting activities using bet recognition devices and a server. Each bet recognition device has an imaging component for capturing image data for a gaming table surface. The bet recognition device receives calibration data for calibrating the bet recognition device. A server processor coupled to a data store processes the image data received from the bet recognition devices over the network to detect, for each betting area, a number of chips and a final bet value for the chips.
    Type: Grant
    Filed: April 15, 2016
    Date of Patent: October 9, 2018
    Assignee: ARB LABS INC.
    Inventors: Adrian Bulzacki, Vlad Cazan
  • Publication number: 20180247134
    Abstract: A platform, device and process for capturing images of the surface of a gaming table and determining the quantity, identity, and arrangement of chips bet at a gaming table. Image data is captured corresponding to the one or more chips positioned in at least one betting area on a gaming surface of the respective gaming table and the data is processed to filter out the background, establish a two dimensional grid of points of interests and corresponding histograms for classifying the one or more chips through identifying a dominant classification of each row in the grid of points of interests.
    Type: Application
    Filed: February 14, 2018
    Publication date: August 30, 2018
    Inventors: ADRIAN BULZACKI, Vlad CAZAN, Muhammad Talal IBRAHIM
  • Publication number: 20170236372
    Abstract: Systems, methods, devices, and computer readable media for monitoring card game activities at gaming tables, such as for example, counting the number of card hands at gaming tables. The devices may include a sensor array network to detect game events; a microcontroller for running logic level code for checking sensors of the sensors of the sensor array network for pre-defined thresholds defining the detected game events and in response generating game event data; and a connection cable for coupling to a server device for transmitting the game event data. Systems may connect client hardware devices with sensors for monitoring card game activities. A game monitoring server may collect, process and aggregate hand event data received from the client hardware devices to generate hand count data for gaming tables. A front end interface device may receive notifications relating to hand count data for provision to end user systems.
    Type: Application
    Filed: October 16, 2015
    Publication date: August 17, 2017
    Applicant: ARB Labs INC
    Inventors: Adrian BULZACKI, Vlad CAZAN
  • Patent number: 9690982
    Abstract: Systems and method described herein present techniques for identifying a gesture using gesture data compressed by principal joint variable analysis. A classifier of a gesture recognition system may receive a frame comprising a set of gesture data points identifying locations of body parts of a subject. The classifier may determining that a subset of the set of gesture data points is sufficient to recognize a first gesture. The subset may be stored into a database in reference to the first gesture. A recognizer may receive a new frame of new gesture data points identifying locations of body parts of a new subject. The recognizer may recognize that the gesture of the new subject corresponds to the first gesture responsive to comparing at least one new gesture data point from the new frame to at least one gesture data point of the subset.
    Type: Grant
    Filed: August 18, 2016
    Date of Patent: June 27, 2017
    Assignee: ARB LABS INC.
    Inventor: Adrian Bulzacki
  • Publication number: 20170161987
    Abstract: System, processes and devices for monitoring betting activities using bet recognition devices and a server. Each bet recognition device has an imaging component for capturing image data for a gaming table surface. The bet recognition device receives calibration data for calibrating the bet recognition device. A server processor coupled to a data store processes the image data received from the bet recognition devices over the network to detect, for each betting area, a number of chips and a final bet value for the chips.
    Type: Application
    Filed: April 15, 2016
    Publication date: June 8, 2017
    Inventors: Adrian BULZACKI, Vlad CAZAN
  • Patent number: 9639746
    Abstract: The disclosure describes systems and methods of detecting body movements using gesture data. The gesture data may be self-referenced and may be comprised by frames which may identify locations or positions of body parts of a subject with respect to a particular reference point within the frame. A classifier may process frames to learn body movements and store the frames of gesture data in a database. Data comprising frames of self-referenced gesture data may be received by a recognizer which recognizes movements of the subject identified by the frames by matching gesture data of the incoming frames to the classified self-referenced gesture data stored in the database.
    Type: Grant
    Filed: April 18, 2012
    Date of Patent: May 2, 2017
    Assignee: Arb Labs Inc.
    Inventor: Adrian Bulzacki
  • Publication number: 20170046568
    Abstract: Systems and method described herein present techniques for identifying a gesture using gesture data compressed by principal joint variable analysis. A classifier of a gesture recognition system may receive a frame comprising a set of gesture data points identifying locations of body parts of a subject. The classifier may determining that a subset of the set of gesture data points is sufficient to recognize a first gesture. The subset may be stored into a database in reference to the first gesture. A recognizer may receive a new frame of new gesture data points identifying locations of body parts of a new subject. The recognizer may recognize that the gesture of the new subject corresponds to the first gesture responsive to comparing at least one new gesture data point from the new frame to at least one gesture data point of the subset.
    Type: Application
    Filed: August 18, 2016
    Publication date: February 16, 2017
    Inventor: Adrian BULZACKI
  • Publication number: 20160328604
    Abstract: Systems and methods are provided in relation to monitoring activities at a gaming venue.
    Type: Application
    Filed: January 7, 2015
    Publication date: November 10, 2016
    Inventor: Adrian BULZACKI
  • Publication number: 20140198954
    Abstract: The disclosure describes systems and methods of detecting body movements using gesture data. The gesture data may be self-referenced and may be comprised by frames which may identify locations or positions of body parts of a subject with respect to a particular reference point within the frame. A classifier may process frames to learn body movements and store the frames of gesture data in a database. Data comprising frames of self-referenced gesture data may be received by a recognizer which recognizes movements of the subject identified by the frames by matching gesture data of the incoming frames to the classified self-referenced gesture data stored in the database.
    Type: Application
    Filed: April 18, 2012
    Publication date: July 17, 2014
    Inventor: Adrian Bulzacki
  • Publication number: 20130278501
    Abstract: Systems and method described herein present techniques for identifying a gesture using gesture data compressed by principal joint variable analysis. A classifier of a gesture recognition system may receive a frame comprising a set of gesture data points identifying locations of body parts of a subject. The classifier may determining that a subset of the set of gesture data points is sufficient to recognize a first gesture. The subset may be stored into a database in reference to the first gesture. A recognizer may receive a new frame of new gesture data points identifying locations of body parts of a new subject. The recognizer may recognize that the gesture of the new subject corresponds to the first gesture responsive to comparing at least one new gesture data point from the new frame to at least one gesture data point of the subset.
    Type: Application
    Filed: March 15, 2013
    Publication date: October 24, 2013
    Inventor: Adrian BULZACKI