Patents by Inventor Peter DiMeo

Peter DiMeo 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).

  • Patent number: 12242169
    Abstract: Various examples are provided related to high-speed autofocus control. In one example, a method includes obtaining a first image of a target with a camera; adjusting focus of the camera by a specified AF bin step size; obtaining a second image of the target; adjusting focus of the camera by the specified AF bin step size; obtaining a third image of the target; determining an optimal focus using data of the second and third images; and adjusting focus of the camera to the optimal focus. In another example, a method includes generating an input vector comprising a sequence of input-output pairs associated with a piezoelectric controlled motion stage that can position a camera relative to a target; determine a control input for the motion stage using a LSTM backpropagation network trained to minimize a cost function over a defined prediction horizon; and applying the control input to the motion stage.
    Type: Grant
    Filed: March 30, 2023
    Date of Patent: March 4, 2025
    Assignee: UNIVERSITY OF MASSACHUSETTS
    Inventors: Peter DiMeo, Jingyang Yan, Xian Du
  • Publication number: 20230314909
    Abstract: Various examples are provided related to high-speed autofocus control. In one example, a method includes obtaining a first image of a target with a camera; adjusting focus of the camera by a specified AF bin step size; obtaining a second image of the target; adjusting focus of the camera by the specified AF bin step size; obtaining a third image of the target; determining an optimal focus using data of the second and third images; and adjusting focus of the camera to the optimal focus. In another example, a method includes generating an input vector comprising a sequence of input-output pairs associated with a piezoelectric controlled motion stage that can position a camera relative to a target; determine a control input for the motion stage using a LSTM backpropagation network trained to minimize a cost function over a defined prediction horizon; and applying the control input to the motion stage.
    Type: Application
    Filed: March 30, 2023
    Publication date: October 5, 2023
    Inventors: Peter DiMeo, Jingyang Yan, Xian Du