Patents by Inventor Dan Bricarello

Dan Bricarello 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).

  • Systems and methods for tracking goods carriers
    Patent number: 10956854
    Abstract: Provided are methods, devices, and computer-program products for tracking goods carriers from a particular source. According to some embodiments of the invention, a computer-implemented method includes training an artificial neural network to count the number of goods carriers from a particular source within an image. Further, the method includes receiving a first image file generated by a first imaging device; using the trained artificial neural network to determine a first number of goods carriers from the particular source in the first image; receiving a second image file generated by a second imaging device; using the trained artificial neural network to determine a second number of goods carriers from the particular source in the second image; and determining whether the first number of goods carriers from the particular source in the first image is equal to the second number of goods carriers from the particular source in the second image.
    Type: Grant
    Filed: August 9, 2018
    Date of Patent: March 23, 2021
    Assignee: BXB DIGITAL PTY LIMITED
    Inventors: Michael Souder, Dan Bricarello, Juan Castillo, Prasad Srinivasamurthy
  • SYSTEMS AND METHODS FOR TRACKING GOODS CARRIERS
    Publication number: 20190122173
    Abstract: Provided are methods, devices, and computer-program products for tracking goods carriers from a particular source. According to some embodiments of the invention, a computer-implemented method includes training an artificial neural network to count the number of goods carriers from a particular source within an image. Further, the method includes receiving a first image file generated by a first imaging device; using the trained artificial neural network to determine a first number of goods carriers from the particular source in the first image; receiving a second image file generated by a second imaging device; using the trained artificial neural network to determine a second number of goods carriers from the particular source in the second image; and determining whether the first number of goods carriers from the particular source in the first image is equal to the second number of goods carriers from the particular source in the second image.
    Type: Application
    Filed: August 9, 2018
    Publication date: April 25, 2019
    Applicant: BXB Digital Pty Limited
    Inventors: Michael Souder, Dan Bricarello, Juan Castillo, Prasad Srinivasamurthy