Research Article

Aeroengine Blade Surface Defect Detection System Based on Improved Faster RCNN

Table 5

Detection data of defects length.

Defect numberDefect typeDetection length (mm)Physical length (mm)Error (%)

1Scratch2.962.6013.85
2Scratch2.922.6012.31
3Scratch9.788.998.80
4Scratch8.709.367.10
5Scratch6.046.567.90
6Scratch1.701.5714.65
7Pockmark0.110.1010.00
8Pockmark0.120.119.10