Advisian had this posted and came up under the Cosia Innovation Summit March 21 & 22. This is on their website with a new drone.
Surely...
http://www.advisian.com/our-experience-items/quantification-of-fugitive-gas-emissions.aspx
Image processing: Once a 30hz image is generated for a fugitive gas emission as part of an asset under survey, the image is streamed back to a base station where it is subsequently uploaded to an image processing center. Metadata is also captured both from the UAV and also ground stations which provide indications of ambient temperature, wind speed, humidity etc. The emissions image, together with the metadata, are fed into an algorithmic software platform. The software undertakes a pixel-based analysis of the image, and: Performs an accurate machine recognition of the exact source of the leak Carries out analysis of the moving image - plus the metadata - and quantifies the mass leak rate of the emission The image processing can be carried out in fractions of a minute, rather than hours or days associated with existing survey methods such as bagging tests or Method21. The accuracy that has been obtained in field tests so far have revealed correlation of results against bagging tests to be within 15%. Method21 (which in any event cannot directly measure mass leak rates) have been calculated to produce bagging test correlation accuracies at around 250%, so the algorithmic image processing has demonstrated superior results in both accuracy and productivity. - See more at:
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