Patents by Inventor Simone CALDERARA

Simone CALDERARA 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: 12106399
    Abstract: A generative system for the creation of digital images for printing on design surfaces comprises a training dataset comprising a plurality of sample images for printing on design surfaces, a generative adversarial network comprising a generator and a discriminator, wherein the generator receives noise at input and is trained to generate at output starting from the noise a new artificially generated image adapted to be used for printing on design surfaces, and wherein the discriminator receives at input the new artificially generated image and is trained to compare and distinguish the new image generated by the sample images of the training dataset.
    Type: Grant
    Filed: January 14, 2021
    Date of Patent: October 1, 2024
    Assignee: DIGITAL DESIGN S.R.L.
    Inventors: Rita Cucchiara, Simone Calderara, Fabio Lanzi, Andrea Mariani, Elena Pellesi
  • Publication number: 20240193390
    Abstract: A computer-implemented system for image quality enhancement and color spaces conversion for manufactured surfaces printers comprises at least a convolutional neural network, configured for executing at least the following steps: receive in input an original image x? in RGB space; from the original image x?, elaborate an approximation {tilde over (x)}+? in multichannel space or in RGB space of an enhanced image x+? for manufactured surfaces printers; and return to output the approximation {tilde over (x)}+? of the enhanced image x+? for the use in manufactured surfaces printers.
    Type: Application
    Filed: April 12, 2022
    Publication date: June 13, 2024
    Applicant: DIGITAL DESIGN S.R.L.
    Inventors: Alberto VITTO, Fabio LANZI, Simone CALDERARA, Rita CUCCHIARA, Andrea MARIANI, Elena PELLESI
  • Patent number: 11672255
    Abstract: A method for evaluating (50) the health state of an anatomical element of an animal in a slaughtering plant provided with an image acquisition device. The evaluation method comprises the steps of: verifying the presence of the anatomical element; acquiring the image of the anatomical element; processing (S4) the image of the anatomical element through Deep Learning techniques, generating a lesion image representing lesioned portions of the anatomical element, and a number of processed images, each representing a corresponding non-lesioned anatomical area of the animal; for each of the lesioned portions and for each of the non-lesioned anatomical areas, determining a corresponding quantity indicative of the probability that said lesioned portion corresponds to said non-lesioned anatomical area; determining a score indicative of the health state of the anatomical element, depending on the determined quantities.
    Type: Grant
    Filed: September 2, 2020
    Date of Patent: June 13, 2023
    Assignee: FARM4TRADE S.R.L.
    Inventors: Giuseppe Marruchella, Luca Bergamini, Andrea Capobianco Dondona, Ercole Del Negro, Francesco Di Tondo, Angelo Porrello, Simone Calderara
  • Publication number: 20230045937
    Abstract: A generative system for the creation of digital images for printing on design surfaces comprises a training dataset comprising a plurality of sample images for printing on design surfaces, a generative adversarial network comprising a generator and a discriminator, wherein the generator receives noise at input and is trained to generate at output starting from the noise a new artificially generated image adapted to be used for printing on design surfaces, and wherein the discriminator receives at input the new artificially generated image and is trained to compare and distinguish the new image generated by the sample images of the training dataset.
    Type: Application
    Filed: January 14, 2021
    Publication date: February 16, 2023
    Applicant: DIGITAL DESIGN S.R.L.
    Inventors: Rita CUCCHIARA, Simone CALDERARA, Fabio LANZI, Andrea MARIANI, Elena PELLESI
  • Publication number: 20210068404
    Abstract: A method for evaluating (50) the health state of an anatomical element of an animal in a slaughtering plant provided with an image acquisition device. The evaluation method comprises the steps of: verifying the presence of the anatomical element; acquiring the image of the anatomical element; processing (S4) the image of the anatomical element through Deep Learning techniques, generating a lesion image representing lesioned portions of the anatomical element, and a number of processed images, each representing a corresponding non-lesioned anatomical area of the animal; for each of the lesioned portions and for each of the non-lesioned anatomical areas, determining a corresponding quantity indicative of the probability that said lesioned portion corresponds to said non-lesioned anatomical area; determining a score indicative of the health state of the anatomical element, depending on the determined quantities.
    Type: Application
    Filed: September 2, 2020
    Publication date: March 11, 2021
    Inventors: Giuseppe MARRUCHELLA, Luca BERGAMINI, Andrea CAPOBIANCO DONDONA, Ercole DEL NEGRO, Francesco DI TONDO, Angelo PORRELLO, Simone CALDERARA