Patents by Inventor Christine El-Fakhri

Christine El-Fakhri 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: 11817004
    Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.
    Type: Grant
    Filed: March 25, 2021
    Date of Patent: November 14, 2023
    Assignee: L'OREAL
    Inventors: Celia Ludwinski, Florent Valceschini, Yuanjie Li, Zhiyuan Song, Christine El-Fakhri, Hemant Joshi
  • Publication number: 20210209427
    Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.
    Type: Application
    Filed: March 25, 2021
    Publication date: July 8, 2021
    Inventors: Celia LUDWINSKI, Florent VALCESCHINI, Yuanjie LI, Zhiyuan SONG, Christine EL-FAKHRI, Hemant JOSHI
  • Patent number: 10990858
    Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.
    Type: Grant
    Filed: January 7, 2019
    Date of Patent: April 27, 2021
    Assignee: L'OREAL
    Inventors: Celia Ludwinski, Florent Valceschini, Yuanjie Li, Zhiyuan Song, Christine El-Fakhri, Hemant Joshi
  • Patent number: 10943156
    Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.
    Type: Grant
    Filed: January 7, 2019
    Date of Patent: March 9, 2021
    Assignee: L'OREAL
    Inventors: Celia Ludwinski, Florent Valceschini, Yuanjie Li, Zhiyuan Song, Christine El-Fakhri, Hemant Joshi
  • Publication number: 20190213453
    Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.
    Type: Application
    Filed: January 7, 2019
    Publication date: July 11, 2019
    Applicant: L'OREAL
    Inventors: Celia LUDWINSKI, Florent Valceschini, Yuanjie Li, Zhiyuan Song, Christine El-Fakhri, Hemant Joshi
  • Publication number: 20190213452
    Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.
    Type: Application
    Filed: January 7, 2019
    Publication date: July 11, 2019
    Applicant: L'OREAL
    Inventors: Celia LUDWINSKI, Florent Valceschini, Yuanjie Li, Zhiyuan Song, Christine El-Fakhri, Hemant Joshi