Patents Assigned to UBY
  • Patent number: 12574681
    Abstract: The present invention relates to a method for identifying a sound source comprising the following steps: (S1): acquisition of a sound signal; (S2): application of a frequency fitter to the acquired sound signal in order to obtain a filtered signal; (S4): extraction of a matrix of features associated with the filtered signal; (S5): identification of the source by applying a classification model to the feature matrix extracted in step (S4), the classification model having, as its output, at least one class associated with the source of the acquired sound signal.
    Type: Grant
    Filed: April 16, 2021
    Date of Patent: March 10, 2026
    Assignees: Uby, Wavely
    Inventors: Laurent Mareuge, Julien Roland, Maxime Baelde
  • Patent number: 12510453
    Abstract: This disclosure describes a method for determining, in real time and continuously, an amount of particles of a given material in a sample, including steps of: E1: optically measuring a signature of the sample by an optical sensor; E2: identifying, by a processing unit, the type of the sample by a classification model trained on a training database including a plurality of reference signatures, each reference signature being associated with a reference sample type; and E3: determining, by the processing unit, the amount of particles of the given material in the sample based on the identified sample type and a correspondence table associating, with each of a plurality of reference sample types, a reference amount of particles of the given material.
    Type: Grant
    Filed: January 26, 2022
    Date of Patent: December 30, 2025
    Assignees: UBY, ELLONA
    Inventors: Laurent Mareuge, Ivan Romanytsia
  • Publication number: 20240410807
    Abstract: This disclosure describes a method for determining, in real time and continuously, an amount of particles of a given material in a sample, including steps of: E1: optically measuring a signature of the sample by an optical sensor; E2: identifying, by a processing unit, the type of the sample by a classification model trained on a training database including a plurality of reference signatures, each reference signature being associated with a reference sample type; and E3: determining, by the processing unit, the amount of particles of the given material in the sample based on the identified sample type and a correspondence table associating, with each of a plurality of reference sample types, a reference amount of particles of the given material.
    Type: Application
    Filed: January 26, 2022
    Publication date: December 12, 2024
    Applicants: UBY, ELLONA
    Inventors: Laurent MAREUGE, Ivan ROMANYTSIA