The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

Aircraft surface inspections are a critical and mandatory component of airworthiness that uses visual and digital checks to spot minute damage, wear, or malfunction.

SMU Assistant Professor Pang Guansong’s research to improve artificial intelligence used in aircraft surface inspections aims to make the skies even safer while reducing aircraft maintenance costs.