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Research on Machine Vision Detection Experiment Platform for Industry Products

机译:工业产品机床视觉检测实验平台研究

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摘要

Key technologies of machine vision detection system for the industrial part are investigated and an intact set of high-speed detection system is developed. On the basis of introducing the entire design of machine vision platform, analyzing the software and hardware structure and fundamental principles of control units, this paper proposes that variance function shall be adopted for coarse tuning and the search algorithm of Roberts gradient sum function shall be adopted for fine tuning. The experimental results show that it only takes 3.246 second for this system to collect images, which meets the requirement of real-time online detection. This system is feasible for the detection experiments of industrial products.
机译:研究了工业部件的机床视觉检测系统的关键技术,开发了一种完整的高速检测系统集。 在引入整个机器视觉平台设计的基础上,分析了软件和硬件结构和控制单元的基本原理,本文提出了粗调采用方差函数,并采用罗伯茨梯度和函数的搜索算法 微调。 实验结果表明,该系统仅需要3.246秒,以收集图像,符合实时在线检测的要求。 该系统可用于工业产品的检测实验。

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