基于机器视觉技术的橡胶产品表面缺陷检测研究  

Research on Surface Defect Detection of Rubber Products Based on Machine Vision Technology

作　　者：何林楠 He Linnan(Hengwei Inspection and Testing Certification(Hebei)Group Co.,Ltd.,Hengshui,China)

机构地区：[1]恒为检验检测认证(河北)集团有限公司,河北衡水

出　　处：《科学技术创新》2025年第8期86-89,共4页Scientific and Technological Innovation

摘　　要：本文针对橡胶产品表面缺陷检测中的精度与效率问题,提出了一种基于机器视觉技术的检测方法。该方法利用高分辨率相机进行图像采集,结合先进的图像处理算法和模式识别技术,实现了对橡胶产品表面裂纹、气泡、杂质等缺陷的快速、准确检测。通过优化光源设计与图像预处理步骤,有效克服了橡胶表面反光、纹理复杂等挑战,提高了检测的稳定性和可靠性。实例分析表明,该方法能够显著提升检测精度至±0.01 mm,同时检测速度可达200~1200个/分钟,检测准确率高达99.9%。该研究不仅为橡胶产品质量控制提供了有力支持,还促进了机器视觉技术在工业检测领域的广泛应用。This article proposes a detection method based on machine vision technology to address the issues of accuracy and efficiency in surface defect detection of rubber products.This method utilizes high-resolution cameras for image acquisition,combined with advanced image processing algorithms and pattern recognition technology,to achieve rapid and accurate detection of surface cracks,bubbles,impurities,and other defects in rubber products.By optimizing the light source design and image preprocessing steps,the challenges of rubber surface reflection and complex texture have been effectively overcome,improving the stability and reliability of detection.The case analysis shows that this method can significantly improve the detection accuracy to±0.01 mm,while the detection speed can reach 200~1200 pieces/minute,and the detection accuracy is as high as 99.9%.This study not only provides strong support for the quality control of rubber products,but also promotes the widespread application of machine vision technology in the field of industrial inspection.

关 键 词：机器视觉技术 橡胶产品 缺陷检测 准确率 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]