Advanced corrosion assessment using Al-powered imaging technology

Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have developed a new automated method to assess corrosion in industrial equipment using advanced machine learning and image analysis, notes a press release from EurekAlert.

- 

Published in npj Materials Degradation, the study describes a novel machine learning algorithm that can analyse microscope images of corroded metal surfaces to estimate corrosion severity, without requiring human input.

"Corrosion poses significant economic and safety challenges in industries like power generation and oil/gas," says Phaneendra K Yalavarthy, Professor at the Department of Computational and Data Sciences (CDS), IISc, and senior author of the study.

"[It] silently compromises the integrity of these systems, putting lives and livelihoods at risk and burdening society with escalating maintenance costs," adds coauthor Ashwin RajKumar, former postdoctoral researcher at CDS.