摘要
现如今汽车置杯盒零部件生产中的检测环节主要依赖人工目检和具检,影响工业生产效率和质量,人工成本也较高。设计了一种基于机器视觉的汽车置杯盒缺陷检测系统,分别对光源系统、高速图像采集系统和图像处理系统的设计进行了验证,实验验证了系统的可行性。实验表明:系统检测效率高、误检率低,降低了工业生产成本,且可以长时间稳定且高速地运行。
Nowadays,the inspection of vehicle cup-holder parts mainly relies on manual inspection and fixture inspection,which affects the industrial production efficiency and quality,and the labor cost is also high.A defect detection system of vehicle cup-holder based on machine vision was designed.The design of light source system,high-speed image acquisition system and image processing system were respectively verified.The feasibility of the system was verified by experiments.Experiments show that the system has high detection efficiency and low false detection rate,which reduces the cost of industrial production and can run stably and at high speed for a long time.
出处
《计算机科学与应用》
2019年第6期1085-1094,共10页
Computer Science and Application
基金
河南大学科研基金项目(2015YBZR044).
