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"Built real-time subsea pipeline leak detection system using multi-sensor AI fusion (FBG+DTS+acoustic+pressure),
"Built real-time subsea pipeline leak detection system using multi-sensor AI fusion (FBG+DTS+acoustic+pressure), Dempster-Shafer probabilistic inference, Kalman localization
Instead of guessing from a single signal it fuses thermal, acoustic, and pressure data and evaluates uncertainty using DempsterShafer theory Then it tracks leaks over time
Instead of guessing from a single signal, it fuses thermal, acoustic, and pressure data and evaluates uncertainty using DempsterShafer theory Then it tracks leaks over time
SubseaAI uses physics-based AI to detect subsea pipeline leaks in under 15 seconds by fusing thermal, acoustic, and pressure signals with probabilistic models and real-time tracking.
We are solving a $10 Billion annual problem in subsea oil and gas. Current leak detection relies on manual robot inspections that take days to deploy.
AI-powered system that detects underwater pipeline leaks in seconds using real-time multi-sensor fusion.
