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Machine Vision for Natural Gas Methane Emissions Detection

 Jingfan Wang, Lyne P. Tchapmi, Arvind P. Ravikumar, Mike McGuire, Clay S. Bell, Daniel Zimmerle, Sil
Description: Our paper illustrates a novel application of deep learning & computer vision that have great potential to tackle the important environmental problem of methane emissions.
Views: 719
Domain: Energy
Category: Environmental
Contributing Organization: Cornell University
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Machine Vision for Natural Gas Methane Emissions Detection
Using an Infrared Camera
Jingfan Wanga,∗, Lyne P. Tchapmib,1 , Arvind P. Ravikumara,1,2 , Mike McGuirec,3 , Clay S.
Bellc , Daniel Zimmerled , Silvio Savareseb , Adam R. Brandta

arXiv:1904.08500v1 [cs.CV] 1 Apr 2019


Department of Energy Resources Engineering, Stanford University, 367 Panama St., Stanford, 94305,
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