Research on Visual Detection Method of Laser Welding Seam

Binyu Wang, Wusheng Chou
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Abstract

Weld defects produced by welding will destroy the quality of products. The visual detection method of weld seam using artificial neural network has been applied in industry, but few researchers have established a method to measure the shape of weld seam. In this paper, a feasible scheme based on image processing and artificial neural network is proposed, which not only detects the location of weld defects, but also measures the geometric dimensions of welds. The effectiveness of the method was verified by testing on the self-built dataset and the average accuracy of the size measurement reached 95.9%.
激光焊缝视觉检测方法研究
焊接产生的焊缝缺陷会破坏产品的质量。基于人工神经网络的焊缝视觉检测方法已经在工业上得到了应用,但是很少有研究者建立了一种测量焊缝形状的方法。本文提出了一种基于图像处理和人工神经网络的可行方案,该方案不仅可以检测焊缝缺陷的位置,还可以测量焊缝的几何尺寸。通过在自建数据集上的测试,验证了该方法的有效性,尺寸测量的平均精度达到95.9%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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