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Detection of Flexographic Inks using NIR LCTF-based Hyperspectral Imaging

机译：使用基于NIR LCTF的高光谱成像检测柔版油墨

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Near-infrared (NIR) spectroscopy is a widely used method for material identification for laboratory and industrial applications. While standard spectrometers only allow measurements at one sampling point at a time, NIR Spectral Imaging techniques can measure, in real-time, both the size and shape of an object as well as identify the material the object is made of.rnThe online classification and sorting of recovered paper with NIR Spectral Imaging (SI) is used with success in the paper recycling industry throughout Europe. Recently, the globalisation of the recycling material streams caused that water-based flexographic-printed newspapers mainly from UK and Italy appear also in central Europe. These flexo-printed newspapers are not sufficiently de-inkable with the standard de-inking process originally developed for offset-printed paper. This de-inking process removes the ink from recovered paper and is the fundamental processing step in paper recycling. Thus, flexo-printed newspapers are a growing problem for recycling as they reduce the quality of the produced paper if their amount exceeds a certain limit of the recovered paper.rnThis paper describes the chemometric model development using an NIR LCTF based hyperspectral imaging system for the detection of flexographic printing inks. The achieved accuracy with the LCTF based system is above 95%. Subsequently the model was transferred to an industrial spectrograph based sorting prototype evaluating the application with an instrumentation that is suitable for the recycling industry. Again an accuracy of over 95% on the object level was achieved for a sorting test including the physical sorting of the objects using an array of pneumatic nozzles.
机译：近红外（NIR）光谱是一种广泛用于实验室和工业应用中的材料识别方法。虽然标准光谱仪一次只能进行一个采样点的测量，但是NIR光谱成像技术可以实时测量物体的大小和形状，并可以识别物体的材料。利用NIR光谱成像（SI）对回收纸进行分选在整个欧洲的纸张回收行业都得到了成功的使用。最近，回收材料流的全球化导致主要来自英国和意大利的水性苯胺印刷报纸也出现在中欧。使用最初为胶版印刷纸开发的标准脱墨工艺，这些柔版印刷报纸无法充分脱墨。该脱墨过程从回收的纸张中去除了墨水，这是纸张回收中的基本处理步骤。因此，柔印报纸的回收问题日益严重，因为如果报纸的数量超过回收纸的一定限度，它们会降低所生产纸张的质量。本文描述了使用基于NIR LCTF的高光谱成像系统开发化学模型的方法。检测柔版印刷油墨。基于LCTF的系统达到的准确度超过95％。随后，将模型转移到基于工业光谱仪的分类原型，并使用适合于回收行业的仪器对应用进行评估。对于分类测试，包括使用一组气动喷嘴对对象进行物理分类，再次达到了在对象水平上超过95％的精度。

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