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Image Processing Based Automatic Inspection for Assembly Line of Automobiles

机译：基于图像处理汽车装配线的自动检查

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摘要

Many visual automatic inspection methods are used in the assembly line of vehicles for improving quality and reducing a production cost. In order to resolve uneasy inspection problems, new useful methods and devices have been developed. A real factory environment has very poor optical conditions. Illuminations are affected by the sun lights passing through the windows of the factories. The floor is continuously vibrating, which could affect the posture of installed cameras and illumination devices. This paper describes how to overcome these problems and suggests the automatic inspection system applicable to the automobile assembly line. It introduces two feature extraction methods and algorithms to detect the opened car in the automobile assembly line. The methods for extracting these features are discussed in this paper with the experimental results.
机译：许多可视自动检查方法用于车辆的装配线中，以提高质量并降低生产成本。为了解决不安的检查问题，已经开发了新的有用方法和设备。真正的工厂环境非常差。照亮受到遮光的影响，穿过工厂的窗户。地板持续振动，这可能影响安装摄像机和照明装置的姿势。本文介绍了如何克服这些问题，并提出适用于汽车装配线的自动检测系统。它引入了两个特征提取方法和算法，以检测汽车组装线中的开车。本文用实验结果讨论了提取这些特征的方法。

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