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Detección de defectos en carrocerías de vehículos basado en visión artificial: diseño e implantación

机译:基于人工视觉的车身缺陷检测:设计与实现

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摘要

This paper describes the design and implementation of a novel inspection system for detecting defects on car bodies based on artificial vision, implemented in Ford Factory at Almussafes (Spain). The system is based on the principle of performing a lightning sweeping with static imagining system, which caus- es shadows surrounding defects when merging consecutive im- ages, coined as defect augmentation phenomena. As a result, we can detect millimetric defects of 0.2mm diameter or greater with different shapes which were very hard to detect with exist- ing technology without that phenomena. The project has gen- erated two PTC patents, the first one protects the defect aug- mentation phenomena, while the second protects the industrial system itself. The main innovation of this industrial project is the development of a system that improves in almost 100As a consequences, it reduces the number of invalid vehicles, energy consumption, saving painting which also implies a significant cost reduction. It also improves working conditions for workers by reducing ocular fatigues.
机译:本文介绍了一种基于人工视觉的新型车身缺陷检测系统的设计和实现,该系统在西班牙Almussafes的福特工厂实施。该系统基于使用静态成像系统执行雷电扫描的原理,当合并连续的图像时,该图像会引起缺陷周围的阴影,这被称为缺陷增强现象。结果,我们可以检测到直径为0.2mm或更大的各种形状的毫米缺陷,而使用现有技术很难检测出没有这种现象的缺陷。该项目获得了两项PTC专利,第一项保护缺陷增强现象,而第二项保护工业系统本身。这个工业项目的主要创新是开发了一种系统,其结果提高了近100A,减少了无效车辆的数量,能源消耗,节省了喷漆,这也意味着成本的显着降低。它还通过减少眼疲劳改善了工人的工作条件。

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