A distributed system for computer vision quality control of clinched boards

Real-Time Imaging Pub Date : 2004-06-01 DOI:10.1016/j.rti.2004.05.001

P. Bellini, I. Bruno, P. Nesi

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引用次数: 8

Abstract

Clinching technology allows to join metal sheets by using a cold press. The quality control of joint points, a type of joint buttons, is performed by experts observing the shape of the joint button on the basis of their experience. VISICON IST Research and Development project (partially funded by the European Commission) has realized algorithms and a distributed quality control system for assessing in real time the production of clinched galvanized metal boards. The solution is based on computer vision, software engineering, process modeling, and knowledge representation through object-oriented modeling. The image processing algorithm is based on the G Transform. The transform presents interesting properties and is computationally cheap. The VISICON solution has been validated by using a large set of data and statistical analysis for the detection of joint buttons and for their quality assessment. The paper reports a description of the distributed real-time architecture of the VISICON computer based quality control system, the main aspects of the computer vision processing for quality assessment and the results of the validation phase.

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一种用于锁紧板计算机视觉质量控制的分布式系统

夹紧技术允许使用冷压机连接金属板。关节扣是关节扣的一种，其质量控制是由专家根据经验观察关节扣的形状进行的。VISICON IST研发项目(部分由欧盟委员会资助)实现了算法和分布式质量控制系统，用于实时评估铆钉镀锌金属板的生产。该解决方案基于计算机视觉、软件工程、过程建模和通过面向对象建模的知识表示。图像处理算法是基于G变换的。这种变换呈现出有趣的性质，而且计算成本很低。VISICON解决方案已通过大量数据和统计分析进行验证，用于检测关节按钮及其质量评估。本文描述了基于VISICON计算机的质量控制系统的分布式实时体系结构、计算机视觉处理质量评估的主要方面和验证阶段的结果。

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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Real-Time Imaging

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