Patents by Inventor Danilo Giuffrida

Danilo Giuffrida 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).

  • Methods for Location-Based Identification Blurring
    Publication number: 20240056800
    Abstract: A method and system for blurring location data. Location data indicating a location of a mobile device and a user identification associated with the mobile device is received. Prestored data indicating a plurality of entries is accessed, each entry having a respective stored location associated with a corresponding location status. In response to an entry in the prestored data including a stored location corresponding to the location of the mobile device indicated in the location data, a derived location of the mobile device is generated based on the corresponding location status of the stored location, wherein the derived location is less accurate than the location indicated in the received location data. The derived location of the mobile device is stored in a mobile device location log associated with the received user identification.
    Type: Application
    Filed: May 15, 2023
    Publication date: February 15, 2024
    Applicant: Cuebiq S.R.L.
    Inventors: Filippo Privitera, Danilo Giuffrida, Emanueldomenico Sangregorio, Francesco Guglielmino, Shane Wiley, Zachary David Cohen, Antonio Tomarchio, Giulio Bider, William Nespoli, Marco Funaro, Giovanni Cassarini
  • Methods for location-based identification blurring
    Patent number: 11653198
    Abstract: A method and system for blurring location data. Location data indicating a location of a mobile device and a user identification associated with the mobile device is received. Prestored data indicating a plurality of entries is accessed, each entry having a respective stored location associated with a corresponding location status. In response to an entry in the prestored data including a stored location corresponding to the location of the mobile device indicated in the location data, a derived location of the mobile device is generated based on the corresponding location status of the stored location, wherein the derived location is less accurate than the location indicated in the received location data. The derived location of the mobile device is stored in a mobile device location log associated with the received user identification.
    Type: Grant
    Filed: June 29, 2021
    Date of Patent: May 16, 2023
    Inventors: Filippo Privitera, Danilo Giuffrida, Emanueldomenico Sangregorio, Francesco Guglielmino, Shane Wiley, Zachary David Cohen, Antonio Tomarchio, Giulio Bider, William Nespoli, Marco Funaro, Giovanni Cassarini
  • Methods for Location-Based Identification Blurring
    Publication number: 20220417738
    Abstract: A method and system for blurring location data. Location data indicating a location of a mobile device and a user identification associated with the mobile device is received. Prestored data indicating a plurality of entries is accessed, each entry having a respective stored location associated with a corresponding location status. In response to an entry in the prestored data including a stored location corresponding to the location of the mobile device indicated in the location data, a derived location of the mobile device is generated based on the corresponding location status of the stored location, wherein the derived location is less accurate than the location indicated in the received location data. The derived location of the mobile device is stored in a mobile device location log associated with the received user identification.
    Type: Application
    Filed: June 29, 2021
    Publication date: December 29, 2022
    Applicant: Cuebiq S.R.L.
    Inventors: Filippo Privitera, Danilo Giuffrida, Emanueldomenico Sangregorio, Francesco Guglielmino, Shane Wiley, Zachary David Cohen, Antonio Tomarchio, Giulio Bider, William Nespoli
  • Method of digitizing and extracting meaning from graphic objects
    Patent number: 10726252
    Abstract: Using a convolutional neural network, a method for digitizing and extracting meaning from graphic objects such as bar and pie charts, decomposes a chart into its sub-parts (pie and slices or bars, axes and legends) with significant tolerance to the wide range of variations in shape and relative position of pies, bars, axes and legends. A linear regression calibration allows properly reading values even when there are many OCR failures.
    Type: Grant
    Filed: May 17, 2018
    Date of Patent: July 28, 2020
    Assignee: Tab2ex LLC
    Inventors: Paolo Messina, Vincenzo Del Zoppo, Salvatore Messina, Danilo Giuffrida
  • METHOD OF DIGITIZING AND EXTRACTING MEANING FROM GRAPHIC OBJECTS
    Publication number: 20180336405
    Abstract: Using a convolutional neural network, a method for digitizing and extracting meaning from graphic objects such as bar and pie charts, decomposes a chart into its sub-parts (pie and slices or bars, axes and legends) with significant tolerance to the wide range of variations in shape and relative position of pies, bars, axes and legends. A linear regression calibration allows properly reading values even when there are many OCR failures.
    Type: Application
    Filed: May 17, 2018
    Publication date: November 22, 2018
    Applicant: TAB2EX, LLC
    Inventors: Paolo Messina, Vincenzo Del Zoppo, Salvatore Messina, Danilo Giuffrida