aceEarly and visible detection of fugitive methane leaks in industrial infrared videos via local-global contrast enhancement
Early visualization of greenhouse gases and volatile organic compounds is essential for emission control and industrial safety. Infrared optical gas imaging sequences are difficult to interpret because plumes occupy little of each frame. In our data, mean plume coverage was 6.12%, mean local contrast was 8.09%, and over 72% of samples had local contrast below 10%. We develop an artificial intelligence framework for infrared methane-plume enhancement and early leak detection. It embeds a Local Perception Enhancem…
Enhancing infrared frames before detection lowered the methane flow rate needed for 0.9 detection probability from 1000 to 300 mL per minute and brought stable field detection forward by about 10 to 12 seconds.
Field validation is reported for only two sites, and the detection comparison uses one fixed detector, so the generality of the gains is not established by the supplied text.
Evidence
- Peer-reviewedEngineering Applications of Artificial Intelligence2026-10-19
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Truvace Impact Record TRV-2026-2040, v1: “Early and visible detection of fugitive methane leaks in industrial infrared videos via local-global contrast enhancement.” Truvace, 2026-10-20. /record/TRV-2026-2040 (accessed at citation time). sha256 9222715a7bfe56bc…
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