This invention describes a method for inspecting the inner lining of tanks in railway cars used for transporting goods. It involves visually examining the lining for defects like cracks, blisters, or corrosion, then comparing these findings to standardized models that define different severity levels. The severity is recorded to track the tank's condition over time, helping determine when it needs re-qualification, especially if defects might affect the purity of the transported commodity.
Why it matters: Filed before modern computer vision and robotics could automate tank inspection. AI-driven image analysis now makes defect comparison and severity determination highly accurate and consistent, enabling robust trending analysis.
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