Patents by Inventor Antonio Hurtado

Antonio Hurtado 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: 11853347
    Abstract: Examples methods, apparatus/systems and articles of manufacture for auditing point-of-sale images are disclosed herein. Example methods disclosed herein include comparing a region of interest of an image displayed via a user interface with a plurality of reference product images stored in a database to identify a plurality of candidate product images from the plurality of reference product images as potential matches to a first product depicted in the image. For example, the candidate product images are associated with respective confidence levels indicating respective likelihoods of matching the first product. Disclosed example methods also include displaying, via the user interface, the candidate product images simultaneously with the image in a manner based on the respective confidence levels, and automatically selecting a first one of the candidate product images as matching the first product based on the respective confidence levels.
    Type: Grant
    Filed: August 22, 2022
    Date of Patent: December 26, 2023
    Assignee: Nielsen Consumer, LLC
    Inventors: Diego García Morate, Antonio Hurtado García, Jorge Martin Martin, Miguel Garcia Carranza
  • Publication number: 20230245443
    Abstract: Example image processing methods, apparatus/systems and articles of manufacture are disclosed herein. An example apparatus includes an image recognition application to identify matches between stored patterns and objects detected in a shelf image, where the shelf image has a shelf image scale estimate. The example apparatus further includes a scale corrector to calculate deviation values between sizes of (A) a first set of the objects detected in the shelf image and (B) a first set of the stored patterns matched with the first set of the objects and reduce an error of the shelf image scale estimate by calculating a scale correction value for the shelf image scale estimate based on the deviation values.
    Type: Application
    Filed: April 11, 2023
    Publication date: August 3, 2023
    Inventors: Antonio Hurtado García, Francisco Javier Martin, Diego García Morate
  • Patent number: 11640707
    Abstract: Example image processing methods, apparatus/systems and articles of manufacture are disclosed herein. An example apparatus includes an image recognition application to identify matches between stored patterns and objects detected in a shelf image, where the shelf image has a shelf image scale estimate. The example apparatus further includes a scale corrector to calculate deviation values between sizes of (A) a first set of the objects detected in the shelf image and (B) a first set of the stored patterns matched with the first set of the objects and reduce an error of the shelf image scale estimate by calculating a scale correction value for the shelf image scale estimate based on the deviation values.
    Type: Grant
    Filed: March 15, 2021
    Date of Patent: May 2, 2023
    Assignee: NIELSEN CONSUMER LLC
    Inventors: Antonio Hurtado García, Francisco Javier Martin, Diego García Morate
  • Patent number: 11562314
    Abstract: Interactive product auditing with a mobile device is described. Example methods disclosed herein include performing, with an auditing device, image recognition based on a first set of candidate patterns accessed by the auditing device to identify a first product in a first region of interest of a segmented image. The disclosed example methods also include prompting, with the auditing device, a user to enter input associated with a first grid of the first region of interest displayed on a display, the first grid including the first product. The disclosed example methods further include determining, with the auditing device, a second set of candidate patterns to use to identify a second product in a second region of interest of the segmented image, the second set of candidate patterns determined based on the user input and a group of products identified in a neighborhood of the first region of interest.
    Type: Grant
    Filed: October 2, 2020
    Date of Patent: January 24, 2023
    Assignee: The Nielsen Company (US), LLC
    Inventors: Diego Garcia Morate, Antonio Hurtado Garcia
  • Publication number: 20220405321
    Abstract: Examples methods, apparatus/systems and articles of manufacture for auditing point-of-sale images are disclosed herein. Example methods disclosed herein include comparing a region of interest of an image displayed via a user interface with a plurality of reference product images stored in a database to identify a plurality of candidate product images from the plurality of reference product images as potential matches to a first product depicted in the image. For example, the candidate product images are associated with respective confidence levels indicating respective likelihoods of matching the first product. Disclosed example methods also include displaying, via the user interface, the candidate product images simultaneously with the image in a manner based on the respective confidence levels, and automatically selecting a first one of the candidate product images as matching the first product based on the respective confidence levels.
    Type: Application
    Filed: August 22, 2022
    Publication date: December 22, 2022
    Inventors: Diego García Morate, Antonio Hurtado García, Jorge Martin Martin, Miguel Garcia Carranza
  • Patent number: 11423075
    Abstract: Examples methods, apparatus/systems and articles of manufacture for auditing point-of-sale images are disclosed herein. Example methods disclosed herein include comparing a region of interest of an image displayed via a user interface with a plurality of reference product images stored in a database to identify a plurality of candidate product images from the plurality of reference product images as potential matches to a first product depicted in the image. For example, the candidate product images are associated with respective confidence levels indicating respective likelihoods of matching the first product. Disclosed example methods also include displaying, via the user interface, the candidate product images simultaneously with the image in a manner based on the respective confidence levels, and automatically selecting a first one of the candidate product images as matching the first product based on the respective confidence levels.
    Type: Grant
    Filed: September 12, 2019
    Date of Patent: August 23, 2022
    Assignee: Nielsen Consumer LLC
    Inventors: Diego García Morate, Antonio Hurtado García, Jorge Martin Martin, Miguel Garcia Carranza
  • 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
  • Patent number: 11336819
    Abstract: Methods and apparatus to capture photographs using mobile devices are disclosed. An example apparatus includes a photograph capturing controller to capture a first photograph. The apparatus further includes a blurriness analyzer to determine a probability of blurriness of the first photograph. The probability of blurriness is based on an analysis of a portion of the first photograph, the portion excluding a region of the first photograph associated with an auto-focus operation. The example apparatus also includes a photograph capturing interface to prompt a user to capture a new photograph to replace the first photograph when the probability of blurriness exceeds a blurriness threshold.
    Type: Grant
    Filed: July 17, 2020
    Date of Patent: May 17, 2022
    Assignee: The Nielsen Company (US), LLC
    Inventors: Diego García Morate, Antonio Hurtado Garcia, Javier Tovar Velasco, Carlos Barrales Ruiz
  • Publication number: 20210201019
    Abstract: Example image processing methods, apparatus/systems and articles of manufacture are disclosed herein. An example apparatus includes an image recognition application to identify matches between stored patterns and objects detected in a shelf image, where the shelf image has a shelf image scale estimate. The example apparatus further includes a scale corrector to calculate deviation values between sizes of (A) a first set of the objects detected in the shelf image and (B) a first set of the stored patterns matched with the first set of the objects and reduce an error of the shelf image scale estimate by calculating a scale correction value for the shelf image scale estimate based on the deviation values.
    Type: Application
    Filed: March 15, 2021
    Publication date: July 1, 2021
    Inventors: Antonio Hurtado García, Francisco Javier Martin, Diego García Morate
  • Patent number: 10949665
    Abstract: Example image processing methods, apparatus/systems and articles of manufacture are disclosed herein. An example apparatus includes an image recognition application to identify matches between stored patterns and objects detected in a shelf image, where the shelf image has a shelf image scale estimate. The example apparatus further includes a scale corrector to calculate deviation values between sizes of (A) a first set of the objects detected in the shelf image and (B) a first set of the stored patterns matched with the first set of the objects and reduce an error of the shelf image scale estimate by calculating a scale correction value for the shelf image scale estimate based on the deviation values.
    Type: Grant
    Filed: May 2, 2019
    Date of Patent: March 16, 2021
    Assignee: The Nielsen Company (US), LLC
    Inventors: Antonio Hurtado García, Francisco Javier Martin, Diego García Morate
  • Publication number: 20210073705
    Abstract: Interactive product auditing with a mobile device is described. Example methods disclosed herein include performing, with an auditing device, image recognition based on a first set of candidate patterns accessed by the auditing device to identify a first product in a first region of interest of a segmented image. The disclosed example methods also include prompting, with the auditing device, a user to enter input associated with a first grid of the first region of interest displayed on a display, the first grid including the first product. The disclosed example methods further include determining, with the auditing device, a second set of candidate patterns to use to identify a second product in a second region of interest of the segmented image, the second set of candidate patterns determined based on the user input and a group of products identified in a neighborhood of the first region of interest.
    Type: Application
    Filed: October 2, 2020
    Publication date: March 11, 2021
    Inventors: Diego Garcia Morate, Antonio Hurtado Garcia
  • Publication number: 20200358948
    Abstract: Methods and apparatus to capture photographs using mobile devices are disclosed. An example apparatus includes a photograph capturing controller to capture a first photograph. The apparatus further includes a blurriness analyzer to determine a probability of blurriness of the first photograph. The probability of blurriness is based on an analysis of a portion of the first photograph, the portion excluding a region of the first photograph associated with an auto-focus operation. The example apparatus also includes a photograph capturing interface to prompt a user to capture a new photograph to replace the first photograph when the probability of blurriness exceeds a blurriness threshold.
    Type: Application
    Filed: July 17, 2020
    Publication date: November 12, 2020
    Inventors: Diego García Morate, Antonio Hurtado Garcia, Javier Tovar Velasco, Carlos Barrales Ruiz
  • Patent number: 10796262
    Abstract: Interactive product auditing with a mobile device is described. Example methods disclosed herein include performing, with an auditing device, image recognition based on a first set of candidate patterns accessed by the auditing device to identify a first product in a first region of interest of a segmented image. The disclosed example methods also include prompting, with the auditing device, a user to enter input associated with a first grid of the first region of interest displayed on a display, the first grid including the first product. The disclosed example methods further include determining, with the auditing device, a second set of candidate patterns to use to identify a second product in a second region of interest of the segmented image, the second set of candidate patterns determined based on the user input and a group of products identified in a neighborhood of the first region of interest.
    Type: Grant
    Filed: September 30, 2015
    Date of Patent: October 6, 2020
    Assignee: The Nielsen Company (US), LLC
    Inventors: Diego Garcia Morate, Antonio Hurtado Garcia
  • Patent number: 10735645
    Abstract: Methods and apparatus to capture photographs using mobile devices are disclosed. An example apparatus includes a photograph capturing controller to capture a photograph with a mobile device. The apparatus further includes a blurriness analyzer to determine a probability of blurriness of the photograph. The example apparatus also includes a photograph capturing interface to prompt a user to capture a new photograph when the probability of blurriness exceeds a blurriness threshold.
    Type: Grant
    Filed: October 18, 2018
    Date of Patent: August 4, 2020
    Assignee: THE NIELSEN COMPANY (US), LLC
    Inventors: Diego García Morate, Antonio Hurtado Garcia, Javier Tovar Velasco, Carlos Barrales Ruiz
  • Patent number: 10671777
    Abstract: Methods and systems for providing accurate, scalable, and predictive 3D printing simulations using numerical methods for part-level simulations. Complex parts can be discretized into finite elements using independent and arbitrary meshing. The real additive manufacturing tooling path and printing time of a printing machine are simulated and applied to the mesh of finite elements using an intersection module that combines the finite element mesh with the tool path information of the printing machine in a geometric sense. This allows for localized heating effects to be simulated very accurately, and for cooling assessments to be precisely computed given the intersection module's computation of partial facets and volumes of the finite elements at any given time in the printing simulation.
    Type: Grant
    Filed: May 17, 2017
    Date of Patent: June 2, 2020
    Assignee: DASSAULT SYSTEMES SIMULIA CORP.
    Inventors: Victor George Oancea, Juan Antonio Hurtado Ortiz, Bruce Engelmann, William John Grimes
  • Publication number: 20200004773
    Abstract: Examples methods, apparatus/systems and articles of manufacture for auditing point-of-sale images are disclosed herein. Example methods disclosed herein include comparing a region of interest of an image displayed via a user interface with a plurality of reference product images stored in a database to identify a plurality of candidate product images from the plurality of reference product images as potential matches to a first product depicted in the image. For example, the candidate product images are associated with respective confidence levels indicating respective likelihoods of matching the first product. Disclosed example methods also include displaying, via the user interface, the candidate product images simultaneously with the image in a manner based on the respective confidence levels, and automatically selecting a first one of the candidate product images as matching the first product based on the respective confidence levels.
    Type: Application
    Filed: September 12, 2019
    Publication date: January 2, 2020
    Inventors: Diego García Morate, Antonio Hurtado García, Jorge Martin Martin, Miguel Garcia Carranza
  • Patent number: 10452707
    Abstract: Examples methods, apparatus/systems and articles of manufacture for auditing point-of-sale images are disclosed herein. Example methods disclosed herein include comparing a region of interest of an image displayed via a user interface with a plurality of reference product images stored in a database to identify a plurality of candidate product images from the plurality of reference product images as potential matches to a first product depicted in the image. For example, the candidate product images are associated with respective confidence levels indicating respective likelihoods of matching the first product. Disclosed example methods also include displaying, via the user interface, the candidate product images simultaneously with the image in a manner based on the respective confidence levels, and automatically selecting a first one of the candidate product images as matching the first product based on the respective confidence levels.
    Type: Grant
    Filed: August 31, 2015
    Date of Patent: October 22, 2019
    Assignee: The Nielsen Company (US), LLC
    Inventors: Diego Garcia Morate, Antonio Hurtado Garcia, Jorge Martin Martin, Miguel Garcia Carranza
  • Patent number: 10402517
    Abstract: The present invention relates to a method and corresponding system for modeling a musculo-skeletal system. An embodiment of the method of the invention begins by scaling and positioning a musculo-skeletal model to correspond with motion capture data of a subject. Next, kinematically consistent motion data is generated from the motion capture data and then an inverse dynamic analysis of the musculo-skeletal model is performed using the generated kinematically consistent motion data, such that at least one analysis result is generated. The musculo-skeletal model is then updated to correspond with the at least one analysis result of the inverse dynamic analysis. Finally, the muscle activation of the updated musculo-skeletal model is optimized by determining at least one muscle force using the updated musculo-skeletal model, and by further updating the updated musculo-skeletal model to correspond with the determined at least one muscle force.
    Type: Grant
    Filed: June 26, 2013
    Date of Patent: September 3, 2019
    Assignee: DASSAULT SYSTÉMES SIMULIA CORP.
    Inventors: Subham Sett, Victor George Oancea, Juan Antonio Hurtado, Manoj Kumar Mohanram Chinnakonda, Prabhav Saraswat, Jiang Yao
  • Publication number: 20190258856
    Abstract: Example image processing methods, apparatus/systems and articles of manufacture are disclosed herein. An example apparatus includes an image recognition application to identify matches between stored patterns and objects detected in a shelf image, where the shelf image has a shelf image scale estimate. The example apparatus further includes a scale corrector to calculate deviation values between sizes of (A) a first set of the objects detected in the shelf image and (B) a first set of the stored patterns matched with the first set of the objects and reduce an error of the shelf image scale estimate by calculating a scale correction value for the shelf image scale estimate based on the deviation values.
    Type: Application
    Filed: May 2, 2019
    Publication date: August 22, 2019
    Inventors: Antonio Hurtado García, Francisco Javier Martin, Diego García Morate
  • Patent number: 10282607
    Abstract: Example image processing methods, apparatus/systems and articles of manufacture are disclosed herein. An example apparatus includes an image recognition application to identify matches between stored patterns and objects detected in a shelf image, where the shelf image has a shelf image scale estimate. The example apparatus further includes a scale corrector to calculate deviation values between sizes of (A) a first set of the objects detected in the shelf image and (B) a first set of the stored patterns matched with the first set of the objects and reduce an error of the shelf image scale estimate by calculating a scale correction value for the shelf image scale estimate based on the deviation values.
    Type: Grant
    Filed: October 28, 2016
    Date of Patent: May 7, 2019
    Assignee: THE NIELSEN COMPANY (US), LLC
    Inventors: Antonio Hurtado García, Francisco Javier Martin, Diego García Morate