基于图像识别的数码印刷品检测研究

传统的印刷品质量检测方法多依赖人工视觉,易受主观因素影响,且效率较低,难以满足高效率和高精度的现代生产需求。随着计算机视觉和机器学习技术的进步,基于图像识别的数码印刷品检测技术应运而生,提供了新的解决方案。因此,本文就基于图像识别的数码印刷品检测技术进行深入探讨,以期望揭示其在实际印刷生产中的应用潜力和面临的挑战。

Traditional printing quality inspection methods rely heavily on artificial vision,are susceptible to subjective factors,and have low efficiency,making it difficult to meet the modern production needs of high efficiency and precision.With the advancement of computer vision and machine learning technology,digital printing inspection technology based on image recognition has emerged,providing new solutions.Therefore,this article explores in depth the digital printing product detection technology based on image recognition,in order to reveal its potential applications and challenges in actual printing production.