Robotics & Machine Learning Daily News2024,Issue(Feb.8) :115-119.

'Emissions Detection System And Methods' in Patent Application Approval Process (USPTO 20240027415)

Robotics & Machine Learning Daily News2024,Issue(Feb.8) :115-119.

'Emissions Detection System And Methods' in Patent Application Approval Process (USPTO 20240027415)

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Abstract

A patent application by the inventors Clark, Jason D. (Fort Lupton, CO, US); Eichenlaub, Nathan C. (Denver, CO, US); Foiles, William J. (Denver, CO, US); Lynn, Kieran J. (Denver, CO, US), filed on October 3, 2023, was made available online on January 25, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application is assigned to Project Canary PBC (Denver, Colorado, United States). The following quote was obtained by the news editors from the background information supplied by the inventors: “Air quality is important for the health of a population. Countries worldwide spend significant resources on monitoring air quality and controlling air pollution. One of the major problems is that instruments that can accurately monitor air quality are expensive and typically require expertise to operate properly. Currently, air quality monitoring is mainly performed by government agencies and dedicated organizations using specialized instrumentation. As a result, general air quality data often does not provide the fidelity necessary to pinpoint issues at a scale smaller than a regional level. Real-time air quality monitoring at a finer scale may be cost-prohibitive because air quality monitoring instruments can be expensive.

Key words

Cyborgs/Emerging Technologies/Machine Learning/Project Canary PBC

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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