Aerospace aluminum surface defect detection method based on Multi-Scale Convolution and attention mechanism

Key Points

• The method achieves high precision in surface defect detection using advanced algorithms.
• An accuracy rate exceeding 95% was reported in evaluating aluminum surfaces.
• Approach involves multi-scale convolution combined with an attention mechanism for effective feature extraction.
• Improvements in defect detection may lead to enhanced safety and reliability in aerospace applications.