Company Filing History:
Years Active: 2021
Title: Innovations of Mats D Bennett in Remote Emission Detection
Introduction
Mats D Bennett is an accomplished inventor based in Spring Valley, OH (US). He has made significant contributions to the field of remote emission detection, showcasing his expertise through innovative patent developments. His work focuses on enhancing the accuracy and efficiency of gas and emission detection systems.
Latest Patents
Mats D Bennett holds a patent for a groundbreaking invention titled "Method and systems for remote emission detection and rate determination." This patent describes methods and systems for remotely detecting gases and emissions. The invention involves collecting data from a scene using a sensor system, which is initially processed as 1D data to eliminate noise. A neural network is then employed to assign a confidence value, indicating the likelihood of an emission being detected at a specific location. The processed 1D data, along with the confidence value, is transformed into a 2D format. This 2D data is further analyzed using a neural network to produce a 2D confidence value. Additionally, the 2D data can be combined with RGB data to create a comprehensive map of emission source locations. The system also processes emission data to determine and output emission rate information.
Career Highlights
Mats D Bennett is currently associated with Ball Aerospace & Technologies Corp., where he applies his innovative skills to develop advanced technologies. His work at the company reflects his commitment to improving environmental monitoring and emission detection systems.
Collaborations
Mats has collaborated with notable colleagues, including Jason Monnin and Jarett Levi Bartholomew, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Mats D Bennett's contributions to remote emission detection through his patent and work at Ball Aerospace & Technologies Corp. highlight his role as a leading inventor in this critical field. His innovative methods are paving the way for more effective environmental monitoring solutions.