Mark Smith and Jae Yoon Chung of CleanConnect.ai explore how visual AI is transforming gas leak detection in the energy industry.
Jae Yoon breaks down the real-world challenges of detecting methane and gas leaks using vision-based models, especially in harsh outdoor environments with wind, rain, snow, and limited edge-device compute.
He introduces a breakthrough approach called channel stacking, a method that captures gas movement using just three consecutive frames to dramatically improve detection accuracy while reducing computational load and false alarms.
From edge computing to large language models (LLMs) and object-level incident classification, this episode highlights how AI, blockchain, and verification are reshaping the future of global energy markets.
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