AI Models Used to Detect Corrosion on Ships, Offshore Structures

The project combined automatic structural anomaly detection with remote inspection, leading to improved monitoring. Image courtesy of ABS.

The American Bureau of Shipping (ABS) (Spring, Texas, USA) recently completed a pilot project with Google Cloud (Mountain View, California, USA) and SoftServe (Austin, Texas, USA) in which the companies applied artificial intelligence (AI) models to detect levels of corrosion and coating breakdown on ships and offshore structures.

According to the companies, the project successfully demonstrated the accuracy of AI in detecting and assessing structural anomalies commonly found during visual inspections. They say AI techniques could be further used to analyze images over time to understand corrosion and coating breakdown trends.

“Digital innovation in AI will change how surveys and maintenance strategies are executed, driving more condition-based approaches to class and maintenance,” says Christopher J. Wiernicki, chairman, president, and CEO at ABS. “We are building a future in which digital tools can remotely assess the condition of a ship or offshore unit, and automatically detect and measure coating breakdown and other structural issues, improving safety and reliability.”

ABS, which provides classification and technical advisory services to the marine and offshore industries, says it is committed to setting standards for safety and excellence in design and construction. The group works with both industry and clients to develop accurate compliance, optimized performance, and operational efficiency solutions for marine and offshore assets.

“We are excited to team [up] to effectively apply AI technology to the marine and offshore industries,” says Kashif Mahmood, deputy chief digital officer. “By combining our deep domain experience in offshore and marine structures with Google Cloud’s extensive knowledge of AI applications and SoftServe’s development capabilities, we were able to take this idea from concept to reality.”

Source: ABS,