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Last updated February 1, 2026

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Automated ingot surface defect inspection: BYDRecent Research Landscape

Manual inspection of raw ingot surfaces leads to high downstream processing waste from missed structural flaws. These innovations automate flaw identification through specialized optical sensing and signal processing to ensure material integrity before slicing.

What technical problems is BYD addressing in Automated ingot surface defect inspection?

Manual surface inspection inaccuracies

(12)evidences

Manual visual inspection of ingot surfaces is prone to human error and inconsistency. Automating this process eliminates subjective variability and prevents defective material from advancing to downstream manufacturing stages.

Manual surface inspection inaccuracy

(4)evidences

Human visual inspection of complex sheet metal geometries is prone to subjective error and fatigue. Automating this process eliminates inconsistent defect detection in high-volume manufacturing environments.