AI-Powered Sulfur Print Image Analysis | SKubed
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AI-Powered Sulfur Print Image Analysis for Continuous Casting Quality Assessment

Intelligent Image Processing for Automated Sulfur Print Classification

Computer Vision Engine

Automated sulfur print image classification based on ASTM E1180 reference patterns and historical inspection data.

Automated Sulfur Print Classification with AI and Computer Vision

The AI-Powered Sulfur Print Image Analysis solution automatically evaluates sulfur print test images to determine the segregation quality level of continuously cast slabs.

By replacing subjective visual inspection with intelligent image processing and machine learning, the system delivers fast, consistent, and objective quality assessments that support improved casting process control and downstream product quality.

Solution Overview

Steel cleanliness is one of the most critical factors influencing the performance and reliability of steel products, particularly those intended for demanding applications involving high mechanical loads, elevated temperatures, or fatigue conditions.

The Sulfur Print Test, performed in accordance with ASTM E1180, is a widely accepted qualitative method for evaluating sulfur segregation and sulfide inclusion distribution in cast steel. Our software combines advanced computer vision and artificial intelligence techniques to automatically analyze sulfur print images, classify the segregation level, identify abnormal distribution patterns, and provide objective quality grades with high repeatability. It also extracts quantitative image features and statistical indicators, enabling more precise evaluation than conventional visual inspection.

Key Benefits

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Automated sulfur print image analysis using AI and computer vision

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Objective and repeatable quality grading based on ASTM E1180 reference criteria

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Reduced dependence on manual interpretation and operator experience

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Quantitative evaluation of sulfur segregation and inclusion distribution

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Faster laboratory inspection and reporting

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Improved consistency of continuous casting quality assessment

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Reduced risk of off-specification slabs entering downstream processes

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Enhanced traceability through digital storage of inspection results

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Better process feedback for continuous casting optimization

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Improved product quality for demanding steel grades and critical applications

25+

Years expertise in solving complex industrial problems

7+

Years solving key challenges in the steel sector

Ready to standardize your quality lab?

Speak with our experts about implementing automated sulfur print analysis for your continuous casting operations.

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contact@skubed.com