Machine vision in the tire industry

G. F. Blackwell
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引用次数: 5

Abstract

The author examines the use of machine vision as an intelligent sensor for the acquisition of process data and the ways in which the data can be assimilated into closed-loop control of the tire manufacturing process. He first describes how process data can be collected with vision sensors. Specific application examples are given. The various methods by which this process data can be integrated into an automatic control system for closed-loop feedback are discussed. Some of the application issues involved when vision sensor technology is used in the tire manufacturing environment are examined. Applications of machine vision in the tire industry can be classified as noncontact measurement, assembly verification, and product identification. Depending on the degree of process automation, the vision system can supply a simple accept/reject signal, actual results data, or an identification code. It is noted that the implementation of vision sensors has been somewhat hindered because of the harsh environment present in the tire manufacturing process. Techniques are available for dealing with these environmental concerns and must be incorporated into the system design from the beginning. It is concluded that the real benefit of machine vision is realized when the inspection data can be tied back into the machine control architecture for true automatic closed-loop process modification.<>
轮胎行业的机器视觉
作者研究了使用机器视觉作为智能传感器来获取过程数据,以及如何将数据吸收到轮胎制造过程的闭环控制中。他首先描述了如何用视觉传感器收集过程数据。给出了具体的应用实例。讨论了将该过程数据集成到闭环反馈自动控制系统中的各种方法。在轮胎制造环境中使用视觉传感器技术所涉及的一些应用问题进行了检查。机器视觉在轮胎行业的应用可分为非接触测量、装配验证和产品识别。根据过程自动化的程度,视觉系统可以提供简单的接受/拒绝信号、实际结果数据或识别代码。需要指出的是,由于轮胎制造过程中存在的恶劣环境,视觉传感器的实施在某种程度上受到了阻碍。处理这些环境问题的技术是可用的,必须从一开始就纳入系统设计。结论是,当检测数据可以绑定到机器控制体系结构中,以实现真正的自动闭环过程修改时,机器视觉的真正优势才得以实现。
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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