Patents by Inventor David Bouba

David Bouba 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).

  • DEVICE AND METHOD FOR PROCESSING VIDEO DATA TO DETECT LIFE
    Publication number: 20240282150
    Abstract: Device for analysing video data.
    Type: Application
    Filed: February 15, 2022
    Publication date: August 22, 2024
    Applicant: UNISSEY
    Inventors: David BOUBA, Idriss MGHABBAR, Olivier ROBLIN
  • Points of interest in a location sharing system
    Patent number: 11638115
    Abstract: Systems, and methods for predicting that a user is located at a labeled place corresponding to a point of interest. A server computer accesses historical data comprising location data, and wireless network data collected from a plurality of client devices of a plurality of users over a period of time. For one or more labeled places, the data points corresponding to one of the users being located at the labeled place are identified. A labeled dataset is generated by tagging the identified data points with a label corresponding to the corresponding labeled place. A machine learning model is trained on the labeled dataset, so that when current location data are receiving from a client device of a user, it is possible to determine, using the trained machine learning model, whether the user is located at one of the one or more labeled places.
    Type: Grant
    Filed: June 11, 2021
    Date of Patent: April 25, 2023
    Assignee: Snap Inc.
    Inventors: David Bouba, Eric Guillaume, Xabier Jaureguiberry
  • POINTS OF INTEREST IN A LOCATION SHARING SYSTEM
    Publication number: 20210377693
    Abstract: Systems, and methods for predicting that a user is located at a labeled place corresponding to a point of interest. A server computer accesses historical data comprising location data, and wireless network data collected from a plurality of client devices of a plurality of users over a period of time. For one or more labeled places, the data points corresponding to one of the users being located at the labeled place are identified. A labeled dataset is generated by tagging the identified data points with a label corresponding to the corresponding labeled place. A machine learning model is trained on the labeled dataset, so that when current location data are receiving from a client device of a user, it is possible to determine, using the trained machine learning model, whether the user is located at one of the one or more labeled places.
    Type: Application
    Filed: June 11, 2021
    Publication date: December 2, 2021
    Inventors: David Bouba, Eric Guillaume, Xabier Jaureguiberry
  • Points of interest in a location sharing system
    Patent number: 11039270
    Abstract: Systems, and methods for predicting that a user is located at a labeled place corresponding to a point of interest. A server computer accesses historical data comprising location data, and wireless network data collected from a plurality of client devices of a plurality of users over a period of time. For one or more labeled places, the data points corresponding to one of the users being located at the labeled place are identified. A labeled dataset is generated by tagging the identified data points with a label corresponding to the corresponding labeled place. A machine learning model is trained on the labeled dataset, so that when current location data are receiving from a client device of a user, it is possible to determine, using the trained machine learning model, whether the user is located at one of the one or more labeled places.
    Type: Grant
    Filed: May 1, 2020
    Date of Patent: June 15, 2021
    Assignee: Snap Inc.
    Inventors: David Bouba, Eric Guillaume, Xabier Jaureguiberry
  • POINTS OF INTEREST IN A LOCATION SHARING SYSTEM
    Publication number: 20200314586
    Abstract: Systems, and methods for predicting that a user is located at a labeled place corresponding to a point of interest. A server computer accesses historical data comprising location data, and wireless network data collected from a plurality of client devices of a plurality of users over a period of time. For one or more labeled places, the data points corresponding to one of the users being located at the labeled place are identified. A labeled dataset is generated by tagging the identified data points with a label corresponding to the corresponding labeled place. A machine learning model is trained on the labeled dataset, so that when current location data are receiving from a client device of a user, it is possible to determine, using the trained machine learning model, whether the user is located at one of the one or more labeled places.
    Type: Application
    Filed: May 1, 2020
    Publication date: October 1, 2020
    Inventors: David Bouba, Eric Guillaume, Xabier Jaureguiberry
  • Points of interest in a location sharing system
    Patent number: 10674311
    Abstract: Systems, and methods for predicting that a user is located at a labeled place corresponding to a point of interest. A server computer accesses historical data comprising location data, and wireless network data collected from a plurality of client devices of a plurality of users over a period of time. For one or more labeled places, the data points corresponding to one of the users being located at the labeled place are identified. A labeled dataset is generated by tagging the identified data points with a label corresponding to the corresponding labeled place. A machine learning model is trained on the labeled dataset, so that when current location data are receiving from a client device of a user, it is possible to determine, using the trained machine learning model, whether the user is located at one of the one or more labeled places.
    Type: Grant
    Filed: March 28, 2019
    Date of Patent: June 2, 2020
    Assignee: Snap Inc.
    Inventors: David Bouba, Eric Guillaume, Xabier Jaureguiberry