Patents by Inventor Tyler Dao

Tyler Dao 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: 11694114
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for real-time deployment of machine learning networks. One of the operations is performed by the system receiving video data from a video image capturing device. The received video data is converted into multiple video frames. These video frames are encoded into a particular color space format. The system renders a first display output depicting imagery from the multiple encoded video frames. The system performs an inference on the video frames using a machine learning network in order to determine the occurrence of one or more objects in the video frames. The system renders a second display output depicting graphical information corresponding to the determined one or more objects from the multiple encoded video frames. The system then generates a composite display output including the imagery of the first display output overlaid with the graphical information of the second display output.
    Type: Grant
    Filed: April 22, 2020
    Date of Patent: July 4, 2023
    Assignee: Satisfai Health Inc.
    Inventors: Andrew Ninh, Tyler Dao, Mohammad Fidaali
  • Publication number: 20210019638
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for real-time deployment of machine learning networks. One of the operations is performed by the system receiving video data from a video image capturing device. The received video data is converted into multiple video frames. These video frames are encoded into a particular color space format. The system renders a first display output depicting imagery from the multiple encoded video frames. The system performs an inference on the video frames using a machine learning network in order to determine the occurrence of one or more objects in the video frames. The system renders a second display output depicting graphical information corresponding to the determined one or more objects from the multiple encoded video frames. The system then generates a composite display output including the imagery of the first display output overlaid with the graphical information of the second display output.
    Type: Application
    Filed: April 22, 2020
    Publication date: January 21, 2021
    Inventors: Andrew Ninh, Tyler Dao, Mohammad Fidaali
  • Patent number: 10671934
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for real-time deployment of machine learning systems. One of the operations is performed by the system receiving video data from a video image capturing device. The received video data is converted into multiple video frames. These video frames are encoded into a particular color space format. The system renders a first display output depicting imagery from the multiple encoded video frames. The system performs an inference on the video frames using a machine learning network to determine the occurrence of one or more objects in the video frames. The system renders a second display output depicting graphical information corresponding to the determined one or more objects from the multiple encoded video frames. The system then generates a composite display output including the imagery of the first display output overlaid with the graphical information of the second display output.
    Type: Grant
    Filed: July 16, 2019
    Date of Patent: June 2, 2020
    Assignee: DOCBOT, Inc.
    Inventors: Andrew Ninh, Tyler Dao, Mohammad Fidaali