Patents by Inventor Francisco Javier Delgado del Hoyo

Francisco Javier Delgado del Hoyo 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 and apparatus to decode documents based on images using artificial intelligence
    Patent number: 11810380
    Abstract: Methods, apparatus, and articles manufacture to decode documents based on images using artificial intelligence are disclosed. An example apparatus includes a model executor to input an image into a first artificial intelligence (AI)-based model to generate detected columns of text in the image; and input the image into a second AI-based model to classify the detected columns into categories; a cell identifier to identify rows or cells in the detected columns; and a report generator to: link information corresponding to the rows or cells in the detected columns with corresponding categories; and generating a report based on the linked information.
    Type: Grant
    Filed: October 20, 2020
    Date of Patent: November 7, 2023
    Assignee: NIELSEN CONSUMER LLC
    Inventors: Roberto Arroyo, Jose Javier Yebes Torres, Aitor Aller Beascoechea, Francisco Javier Delgado del Hoyo, Dayron Rizo Rodriguez, Ravindra Gadde
  • METHODS AND APPARATUS TO DETECT A TEXT REGION OF INTEREST IN A DIGITAL IMAGE USING MACHINE-BASED ANALYSIS
    Publication number: 20220189190
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to analyze characteristics of text of interest using a computing system. An example apparatus includes a text detector to provide text data from a first image, the first image including a first text region of interest and a second text region not of interest, a color-coding generator to generate a plurality of color-coded text-map images, the plurality of color-coded text-map images including color-coded segments with different colors, the color-coded segments corresponding to different text characteristics, and a convolutional neural network (CNN) to determine a first location in the first image as more likely to be the first text region of interest than a second location in the first image corresponding to the second text region that is not of interest based on performing a CNN analysis on the first image and the plurality of color-coded text-map images.
    Type: Application
    Filed: March 28, 2019
    Publication date: June 16, 2022
    Inventors: Roberto Arroyo, Javier Tovar Velasco, Francisco Javier Delgado Del Hoyo, Diego González Serrador, Emilio Almazán, Antonio Hurtado
  • METHODS AND APPARATUS TO DECODE DOCUMENTS BASED ON IMAGES USING ARTIFICIAL INTELLIGENCE
    Publication number: 20210406533
    Abstract: Methods, apparatus, and articles manufacture to decode documents based on images using artificial intelligence are disclosed. An example apparatus includes a model executor to input an image into a first artificial intelligence (AI)-based model to generate detected columns of text in the image; and input the image into a second AI-based model to classify the detected columns into categories; a cell identifier to identify rows or cells in the detected columns; and a report generator to: link information corresponding to the rows or cells in the detected columns with corresponding categories; and generating a report based on the linked information.
    Type: Application
    Filed: October 20, 2020
    Publication date: December 30, 2021
    Inventors: Roberto Arroyo, Jose Javier Yebes Torres, Aitor Aller Beascoechea, Francisco Javier Delgado del Hoyo, Dayron Rizo Rodriguez, Ravindra Gadde