Patents by Inventor Jason Monnin

Jason Monnin 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).

  • Method and systems for remote emission detection and rate determination
    Patent number: 10921245
    Abstract: Methods and systems for remotely detecting gases and emissions of gases are provided. Data is collected from a scene using a sensor system. The data is initially optionally processed as 1D data to remove noise, and is then assigned a confidence value by processing the 1D data using a neural network. The confidence value is related to a likelihood that an emission has been detected at a particular location. The processed 1D data, including the confidence value, is gridded into 2D space. The 2D data is then processed using a neural network to assign a 2D confidence value. The 2D data can be fused with RGB data to produce a map of emission source locations. The data identifying emissions can also be processed using a neural network to determine and output emission rate data.
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: February 16, 2021
    Assignee: Ball Aerospace & Technologies Corp.
    Inventors: Mats D. Bennett, Jason Monnin, Jarett Levi Bartholomew, Cynthia Wallace, Lyle Ruppert, Reuben Rohrschneider, Bevan D. Staple, William Tandy
  • Method and Systems for Remote Emission Detection and Rate Determination
    Publication number: 20190376890
    Abstract: Methods and systems for remotely detecting gases and emissions of gases are provided. Data is collected from a scene using a sensor system. The data is initially optionally processed as 1D data to remove noise, and is then assigned a confidence value by processing the 1D data using a neural network. The confidence value is related to a likelihood that an emission has been detected at a particular location. The processed 1D data, including the confidence value, is gridded into 2D space. The 2D data is then processed using a neural network to assign a 2D confidence value. The 2D data can be fused with RGB data to produce a map of emission source locations. The data identifying emissions can also be processed using a neural network to determine and output emission rate data.
    Type: Application
    Filed: December 28, 2018
    Publication date: December 12, 2019
    Applicant: Ball Aerospace & Technologies Corp.
    Inventors: Mats D. Bennett, Jason Monnin, Jarett Levi Bartholomew, Cynthia Wallace, Lyle Ruppert, Reuben Rohrschneider, Bevan D. Staple, William Tandy