Computer Vision for Fault Detection in Aluminum Castings

D. Mery
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Abstract

Castings produced for the automotive industry are considered the important components for overall roadworthiness. To ensure the safety of construction, it is necessary to check every part thoroughly using nondestructive testing. X-ray testing rapidly became the accepted way for controlling the quality of die cast pieces. In this article, the fundamental principles of the automated detection of casting discontinuities are explained. A general computer vision inspection schema is presented, and several methods that have appeared in the literature in the past 30 years were explained showing the development of this sector in the areas of industry and academia.
计算机视觉在铝铸件故障检测中的应用
为汽车工业生产的铸件被认为是整体道路性能的重要组成部分。为保证施工安全,有必要采用无损检测对每一个部位进行彻底检查。x射线检测迅速成为控制压铸件质量的公认方法。本文阐述了铸造不连续点自动检测的基本原理。提出了一种通用的计算机视觉检测方案,并解释了过去30年来文献中出现的几种方法,展示了该领域在工业和学术界的发展。
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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