The importance of image quality in AI visual inspection systems

Sagi Dolberg
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Abstract

The use of AI for visual inspection is currently making great strides in sectors like automotive, metals and machinery manufacturing. However, those investing in the technology not only expect a system that will be superior to manual inspection, but an error rate close to zero in defect detection. Let us look at the importance of image quality and why the variability in the production environment is the single greatest challenge that AI engineers must face.

图像质量在人工智能视觉检测系统中的重要性
目前,人工智能在视觉检测领域的应用正在汽车、金属和机械制造等行业取得长足进步。然而,投资这项技术的人不仅期望系统优于人工检测,还期望缺陷检测的错误率接近于零。让我们来看看图像质量的重要性,以及为什么生产环境的多变性是人工智能工程师必须面对的最大挑战。
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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