Patents by Inventor Virgil TUDOR

Virgil TUDOR 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).

  • Detecting user interface elements in robotic process automation using convolutional neural networks
    Patent number: 11599775
    Abstract: Graphical elements in a user interface (UI) may be detected in robotic process automation (RPA) using convolutional neural networks (CNNs). Such processes may be particularly well-suited for detecting graphical elements that are too small to be detected using conventional techniques. The accuracy of detecting graphical elements (e.g., control objects) may be enhanced by providing neural network-based processing that is robust to changes in various UI factors, such as different resolutions, different operating system (OS) scaling factors, different dots-per-inch (DPI) settings, and changes due to UI customization of applications and websites, for example.
    Type: Grant
    Filed: March 23, 2021
    Date of Patent: March 7, 2023
    Assignee: UiPath, Inc.
    Inventors: Mircea Neagovici, Stefan Adam, Virgil Tudor, Dragos Bobolea
  • DETECTING USER INTERFACE ELEMENTS IN ROBOTIC PROCESS AUTOMATION USING CONVOLUTIONAL NEURAL NETWORKS
    Publication number: 20210209449
    Abstract: Graphical elements in a user interface (UI) may be detected in robotic process automation (RPA) using convolutional neural networks (CNNs). Such processes may be particularly well-suited for detecting graphical elements that are too small to be detected using conventional techniques. The accuracy of detecting graphical elements (e.g., control objects) may be enhanced by providing neural network-based processing that is robust to changes in various UI factors, such as different resolutions, different operating system (OS) scaling factors, different dots-per-inch (DPI) settings, and changes due to UI customization of applications and websites, for example.
    Type: Application
    Filed: March 23, 2021
    Publication date: July 8, 2021
    Applicant: UiPath, Inc.
    Inventors: Mircea Neagovici, Stefan ADAM, Virgil Tudor, Dragos Bobolea
  • Detecting user interface elements in robotic process automation using convolutional neural networks
    Patent number: 10990876
    Abstract: Graphical elements in a user interface (UI) may be detected in robotic process automation (RPA) using convolutional neural networks (CNNs). Such processes may be particularly well-suited for detecting graphical elements that are too small to be detected using conventional techniques. The accuracy of detecting graphical elements (e.g., control objects) may be enhanced by providing neural network-based processing that is robust to changes in various UI factors, such as different resolutions, different operating system (OS) scaling factors, different dots-per-inch (DPI) settings, and changes due to UI customization of applications and websites, for example.
    Type: Grant
    Filed: October 8, 2019
    Date of Patent: April 27, 2021
    Assignee: UiPath, Inc.
    Inventors: Mircea Neagovici, Stefan Adam, Virgil Tudor, Dragos Bobolea
  • DETECTING USER INTERFACE ELEMENTS IN ROBOTIC PROCESS AUTOMATION USING CONVOLUTIONAL NEURAL NETWORKS
    Publication number: 20210103798
    Abstract: Graphical elements in a user interface (UI) may be detected in robotic process automation (RPA) using convolutional neural networks (CNNs). Such processes may be particularly well-suited for detecting graphical elements that are too small to be detected using conventional techniques. The accuracy of detecting graphical elements (e.g., control objects) may be enhanced by providing neural network-based processing that is robust to changes in various UI factors, such as different resolutions, different operating system (OS) scaling factors, different dots-per-inch (DPI) settings, and changes due to UI customization of applications and websites, for example.
    Type: Application
    Filed: October 8, 2019
    Publication date: April 8, 2021
    Applicant: UiPath, Inc.
    Inventors: Mircea NEAGOVICI, Stefan ADAM, Virgil TUDOR, Dragos BOBOLEA