Patents by Inventor Francesco DI TONDO

Francesco DI TONDO 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).

  • Method for evaluating a health state of an anatomical element, related evaluation device and related evaluation system
    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
  • METHOD FOR EVALUATING A HEALTH STATE OF AN ANATOMICAL ELEMENT, RELATED EVALUATION DEVICE AND RELATED EVALUATION SYSTEM
    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