Session 3

[OPTM3-04] Integrating deep learning and photonics for asset integrity monitoring in remote locations

Yong Ma¹, Oliverio Alvarez², Weichang Li², *Damian Pablo San Roman Alerigi¹ (1. EXPEC Advanced Research Center, Aramco, 2. Houston Research Center, Aramco Americas)

Developed and tested a remote monitoring system for equipment integrity in isolated areas, combining visual, IR cameras, and LiDAR with minimal mechanics Software-based multimodal deep-learning handles sensor adjustments, processing multimodal imagery for precise equipment displacement and health analysis.