Go to Page # Page of 28
loading

Machine Vision for Natural Gas Methane Emissions Detection

 Jingfan Wang, Lyne P. Tchapmi, Arvind P. Ravikumar, Mike McGuire, Clay S. Bell, Daniel Zimmerle, Sil
  14th-Aug-2019
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: 753
Domain: Energy
Category: Environmental
Contributing Organization: Cornell University
 ‐ More of their Presentations
SEMICONDUCTOR ANALYTICS
Contents:
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

a

Department of Energy Resources Engineering, Stanford University, 367 Panama St., Stanford, 94305,
California, Uni ... See more

Recent Presentations

Claire Chenu
20 September, 2019
...
19 September, 2019

GHSA Automated Vehicle Safety Expert Panel

Promote advanced vehicle technologies HAVs and ADASs. That promise to improve driving & reduce crashes like safety problems, safety belt use, and speeding for the foreseeable futur

...
18 September, 2019