Patents by Inventor Melinda Varga

Melinda Varga 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).

  • Image Analysis System for Testing in Manufacturing
    Publication number: 20230386012
    Abstract: A vision analytics and validation (VAV) system for providing an improved inspection of robotic assembly, the VAV system comprising a trained neural network three-way classifier, to classify each component as good, bad, or do not know, and an operator station configured to enable an operator to review an output of the trained neural network, and to determine whether a board including one or more “bad” or a “do not know” classified components passes review and is classified as good, or fails review and is classified as bad. In one embodiment, a retraining trigger to utilize the output of the operator station to train the trained neural network, based on the determination received from the operator station.
    Type: Application
    Filed: August 14, 2023
    Publication date: November 30, 2023
    Applicant: Bright Machines, Inc.
    Inventors: Melinda Varga, Konstantinos Boulis, Oytun Akman, Julio Soldevilla Estrada, Brian Philip Mathews
  • Vision analysis and validation system for improved inspection in robotic assembly
    Patent number: 11727553
    Abstract: A vision analytics and validation (VAV) system for providing an improved inspection of robotic assembly, the VAV system comprising a trained neural network three-way classifier, to classify each component as good, bad, or do not know, and an operator station configured to enable an operator to review an output of the trained neural network, and to determine whether a board including one or more “bad” or a “do not know” classified components passes review and is classified as good, or fails review and is classified as bad. In one embodiment, a retraining trigger to utilize the output of the operator station to train the trained neural network, based on the determination received from the operator station.
    Type: Grant
    Filed: November 12, 2020
    Date of Patent: August 15, 2023
    Assignee: Bright Machines, Inc.
    Inventors: Melinda Varga, Konstantinos Boulis, Oytun Akman, Julio Soldevilla Estrada, Brian Philip Mathews
  • Image Analysis System for Testing in Manufacturing
    Publication number: 20210142456
    Abstract: A vision analytics and validation (VAV) system for providing an improved inspection of robotic assembly, the VAV system comprising a trained neural network three-way classifier, to classify each component as good, bad, or do not know, and an operator station configured to enable an operator to review an output of the trained neural network, and to determine whether a board including one or more “bad” or a “do not know” classified components passes review and is classified as good, or fails review and is classified as bad. In one embodiment, a retraining trigger to utilize the output of the operator station to train the trained neural network, based on the determination received from the operator station.
    Type: Application
    Filed: November 12, 2020
    Publication date: May 13, 2021
    Applicant: Bright Machines, Inc.
    Inventors: Melinda Varga, Konstantinos Boulis, Oytun Akman, Julio Soldevilla Estrada, Brian Philip Mathews