Updates in Visual AI Gas Detection | Jae Yoon Chung | Empirical Energy | EP 116

🎙️ Revolutionizing Gas Leak Detection with Visual AI & Machine Learning In this episode of The Empirical Energy Podcast, host Mark Smith sits down with Jae Yoon Chung, Machine Learning Engineer at Clean Connect, to explore how visual AI is transforming gas leak detection in the energy industry. Jae 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. The conversation goes beyond theory, offering a behind-the-scenes look at how AI models are trained, optimized, and deployed at the edge — and where the technology is headed next. 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. ⚡ If you work in energy, AI, emissions monitoring, or industrial technology, this episode is a must-listen. ⏱️ Episode Chapters 00:00 – Introduction to The Empirical Energy Podcast 00:57 – Meet the Guest: Jae Yoon Chung from Clean Connect 01:39 – Machine Learning Challenges in Energy Environments 03:44 – Innovations in Visual Gas Leak Detection 07:29 – Technical Deep Dive: Channel Stacking Explained 14:23 – The Future of Visual AI & LLM Integration 18:53 – Final Thoughts & Call to Action 🎧 Listen & Watch ▶️ YouTube: https://youtu.be/WOejlQSdr_g 🎙 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-empirical-energy-podcast/id1822839881 💬 If this episode sparked new ideas or questions, join the conversation. 👉 Subscribe, rate the show, and share this episode with someone working in energy, AI, or climate tech. 👉 Drop a comment and tell us: Where do you see the biggest opportunity for AI in energy today? #EmpiricalEnergyPodcast #VisualAI #MethaneDetection #MachineLearning #EdgeAI #EnergyTech #ClimateTech #IndustrialAI #ComputerVision