AI Smart Magnetic Particle Inspection Module for Magnetically Conductive Materials 2026/09/29

Introductions

Surface and subsurface cracks inspection is crucial in steel manufacturing. Fluorescent magnetic particle inspection (MT) techniques are typically the method for inspection. Uneven powder residue can lead to misinterpretations and result in error rates exceeding 20%. Additionally, exposure to black light (UV) poses risks to human eyes and skin, potentially causing conditions such as cataracts. AI is necessary to accurately identify defects, given the challenge of defining uneven residues in images.

Technical Advantages and Features

• AI Defect Inspection Module: AI deep learning-based defect detection technology distinguish true and false defects with over 90% accuracy, compared to 80% with manual detection. Reducing reliance on personnel and increasing equipment competitiveness.
• Fluorescent Imaging and Multi-Axis Synchronized Imaging System: Fluorescent imaging highlights the features of shallow subsurface crack defects. Multiple synchronized mobile imaging modules expand the imaging range from 0.2 to 12 meters at the same resolution. Reducing the time required for manual inspection by 55%.
• Defect Distribution Visualization and Real-Time Feedback: Defect distribution is presented through a visual interface that includes information on defect size and location. Based on defect distribution, the system provides immediate feedback to the grinding process.

Industrial Applications and Business Opportunities

• Industry Applications
  • Metal Processing (Casting, Forging, Steel Bars), and Steel (Steel Billets, H-beam Steel) Industries.
  • Intelligent Factory.
• Application Examples
  • The module, implemented in steel industry, established the first domestic AI inspection process for surface defect detection and removal, reducing inspection times by 50% and boosting accuracy from 80% to 90%.