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How to carry out visual inspection more efficiently and more effectively: the characterisation and evaluation of aesthetic anomalies

机译：如何更有效，更有效地进行视觉检查：美学异常的表征和评估

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摘要

For some companies, visual inspection becomes an essential step when seeking to improve the quality of their products. The aim of this control is to be sure of the perceived quality of the product, which often goes well beyond the quality expected by the customer. For this type of control, the controller should be able to detect any anomaly on a product, characterise this anomaly and then evaluate it in order to decide if the product should be accepted or rejected. This paper describes how this characterisation can be carried out and, more specifically, how to measure the impact of the local environment of an anomaly on the perceived quality of the product. It also details how an evaluation can be carried out by using a neural network. Finally, the paper details how the knowledge about the visual inspection of aesthetic anomalies may be made explicit to be shared by controllers more easily.
机译：对于某些公司而言，目视检查已成为改善产品质量的必不可少的步骤。该控制的目的是确保产品的感知质量，该质量通常远远超出客户期望的质量。对于这种类型的控制，控制器应该能够检测到产品上的任何异常，对异常进行特征化，然后对其进行评估，以便确定是否应接受或拒绝该产品。本文描述了如何进行这种表征，更具体地说，是如何测量异常的局部环境对产品感知质量的影响。它还详细介绍了如何使用神经网络进行评估。最后，本文详细介绍了如何使审美异常视觉检查的知识变得明确，以便于控制器更轻松地共享。

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