玻璃制造识别标志并行评估的增强视觉算法

2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA) Pub Date : 2016-09-01 DOI:10.1109/ROMA.2016.7847827

C. Vázquez, Anel Garza, Miguel Arroyo

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引用次数: 0

摘要

本文的目的是提出一种基于汽车玻璃识别标志并行评估的稳健可靠的方法。提出的方法使用Petri网建模，并成功实现了该算法的测试实现，以评估一组样本。

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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Enhanced vision algorithm for concurrent assessment of Identification Marks for glass manufacturing

The aim of this paper is to present a robust and a reliable methodology based on concurrent evaluation of Identification Marks for Automotive Glass. The proposed methodology is modeled using Petri Nets and a test implementation of the algorithm was successfully achieved to evaluate a set of samples.

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2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)

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