Abstract: Deep learning-based surface defect detection shows significant promise for precision manufacturing. However, practical deployments are limited by challenges such as complex defect patterns, ...
To address the challenges of large target scale differences and complex background interference in surface defect detection of wind turbine blades, this paper proposes a lightweight improved YOLOv8 ...
The shift to multi-die assemblies is forcing changes in how chips are tested and inspected in order to achieve sufficient yield ramp or respond more quickly to yield excursions.
The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...
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