On-line surface defect detection method of high-temperature special-shaped continuous casting billets based on short-wave illumination
The surface defects of the billets directly affect the quality and performance of the steels.On-line surface detection of high-temperature continuous casting billets is very important to surface quality control of billets and steels.In this paper,an developed on-line surface defect detection meth-od of high-temperature special-shaped continuous casting billets is introduced.Optical imaging and image recognition methods are used to detect surface defects of high-temperature special-shaped con-tinuous casting billets online.The method utilizes short-wavelength blue laser illumination combined with precision narrow-band filtering to capture high-definition images of the high-temperature special-shaped continuous casting billets.Because of the complex surface and various specifications of the special-shaped billets,two high-resolution linear CCD cameras are used to separately capture the left and right parts of the special-shaped billets.An image stitching method suitable for the surfaces of special-shaped billets was developed to merge images captured by different cameras,forming a com-plete image of the special-shaped continuous casting billet.Additionally,a YOLOv5-based object detec-tion algorithm was developed,incorporating an attention mechanism to enhance model robustness and improve the accuracy of detecting surface defects in special-shaped billets.The mAP0.5 value of crack detection is 95.8％,while the mAP0.5 values of uncommon defect detection are more than 80％.
NETL
NSTL
万方数据
