Lowering the Barrier to AI-Driven Inspection: A No-Code Workflow for Automated Structural Defect Detection
Making AI crack detection work without learning to code
Engineers have built YOLOEZ, a free tool that spots structural defects like cracks and damage using artificial intelligence—without requiring users to write code or have machine learning expertise. It beats older computer vision methods while cutting through the technical hurdles that have kept AI inspection tools from spreading beyond research labs.
Bridges and buildings rely on spotting damage early to prevent catastrophic failure and plan repairs efficiently. Right now, structural inspections are mostly done by eye, which is slow and inconsistent. By putting AI-powered defect detection in the hands of engineers and inspectors without specialized programming skills, this tool could make inspections faster, more accurate, and cheaper—turning predictive maintenance from rare to routine across infrastructure.