Artificial Intelligence for Product Quality Inspection toward Smart Industries: Quality Control of Vehicle Non-Conformities

Amal Chouchene, A. Carvalho, T. M. Lima, F. Charrua-Santos, G. Osório, W. Barhoumi
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引用次数: 18

Abstract

Inspection has been always a topic of interest in the industrial environment. Indeed, the inspection process is particularly very essential for controlling the quality of the finished products. Within this context, in this work is proposed an automated artificial vision system in order to control the non-conformities in vehicles. In fact, the main idea of the proposed system resides in the adoption of the Artificial Intelligence (AI), in order to identify automatically the defects, while supporting at the same time the concept of a smart industry 4.0. Moreover, some works, which rely on AI for quality control inspection in smart industries, are briefly reviewed in this paper, in order to highlight the issues of Visual Inspection (VI) as well as to prove the effectiveness of the AI in industries, notably those related to vehicle manufacturing.
面向智能工业的产品质量检测的人工智能:汽车不合格品的质量控制
工业环境检测一直是人们感兴趣的话题。事实上,检验过程对于控制成品的质量是非常必要的。在此背景下,本文提出了一种自动人工视觉系统,以控制车辆的不合格。事实上,提出的系统的主要思想在于采用人工智能(AI),以便自动识别缺陷,同时支持智能工业4.0的概念。此外,本文还简要回顾了一些在智能工业中依赖人工智能进行质量控制检测的工作,以突出视觉检测(VI)的问题,并证明人工智能在工业,特别是与汽车制造相关的工业中的有效性。
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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