Patents by Inventor Daniel Michael Sammons

Daniel Michael Sammons 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).

  • Remote determination of containers in geographical region
    Patent number: 10607362
    Abstract: Disclosed is a method and system for processing images from an aerial imaging device. The method includes receiving a first image of a geographical area having a first resolution. The method transmits the first image to a machine learning model to identify an area of interest containing an object of interest. The method receives a second image of the geographical area having a second resolution higher than the first resolution. The method transmits the second image to the machine learning model to determine a likelihood that the area of interest contains the object of interest. The method trains the machine learning model to filter out features corresponding to the area of interest in images having the first resolution if the likelihood is below a threshold. The method transmits a visual representation of the object of interest to a user device if the likelihood exceeds the threshold.
    Type: Grant
    Filed: February 15, 2019
    Date of Patent: March 31, 2020
    Assignee: ORBITAL INSIGHT, INC.
    Inventors: Adam Wiggen Kraft, Boris Aleksandrovich Babenko, Alexander Bogdanov Avtanski, Daniel Michael Sammons, Jasper Lin, Jason D. Lohn
  • REMOTE DETERMINATION OF CONTAINERS IN GEOGRAPHICAL REGION
    Publication number: 20190180464
    Abstract: Disclosed is a method and system for processing images from an aerial imaging device. The method includes receiving a first image of a geographical area having a first resolution. The method transmits the first image to a machine learning model to identify an area of interest containing an object of interest. The method receives a second image of the geographical area having a second resolution higher than the first resolution. The method transmits the second image to the machine learning model to determine a likelihood that the area of interest contains the object of interest. The method trains the machine learning model to filter out features corresponding to the area of interest in images having the first resolution if the likelihood is below a threshold. The method transmits a visual representation of the object of interest to a user device if the likelihood exceeds the threshold.
    Type: Application
    Filed: February 15, 2019
    Publication date: June 13, 2019
    Inventors: Adam Wiggen Kraft, Boris Aleksandrovich Babenko, Alexander Bogdanov Avtanski, Daniel Michael Sammons, Jasper Lin, Jason D. Lohn
  • Remote determination of containers in geographical region
    Patent number: 10217236
    Abstract: Disclosed is a method and system for processing images from an aerial imaging device. The method includes receiving a first image of a geographical area having a first resolution. The method transmits the first image to a machine learning model to identify an area of interest containing an object of interest. The method receives a second image of the geographical area having a second resolution higher than the first resolution. The method transmits the second image to the machine learning model to determine a likelihood that the area of interest contains the object of interest. The method trains the machine learning model to filter out features corresponding to the area of interest in images having the first resolution if the likelihood is below a threshold. The method transmits a visual representation of the object of interest to a user device if the likelihood exceeds the threshold.
    Type: Grant
    Filed: April 12, 2018
    Date of Patent: February 26, 2019
    Assignee: ORBITAL INSIGHT, INC.
    Inventors: Adam Wiggen Kraft, Boris Aleksandrovich Babenko, Alexander Bogdanov Avtanski, Daniel Michael Sammons, Jasper Lin, Jason D. Lohn
  • REMOTE DETERMINATION OF CONTAINERS IN GEOGRAPHICAL REGION
    Publication number: 20180232900
    Abstract: Disclosed is a method and system for processing images from an aerial imaging device. The method includes receiving a first image of a geographical area having a first resolution. The method transmits the first image to a machine learning model to identify an area of interest containing an object of interest. The method receives a second image of the geographical area having a second resolution higher than the first resolution. The method transmits the second image to the machine learning model to determine a likelihood that the area of interest contains the object of interest. The method trains the machine learning model to filter out features corresponding to the area of interest in images having the first resolution if the likelihood is below a threshold. The method transmits a visual representation of the object of interest to a user device if the likelihood exceeds the threshold.
    Type: Application
    Filed: April 12, 2018
    Publication date: August 16, 2018
    Inventors: Adam Wiggen Kraft, Boris Aleksandrovich Babenko, Alexander Bogdanov Avtanski, Daniel Michael Sammons, Jasper Lin, Jason D. Lohn