XSpectra®: The most advanced real time food contaminants detector

B. Garavelli, A. Mencarelli, L. Zanotti
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引用次数: 3

Abstract

With the aim to contribute to the persistent effort to enhance quality controls carried out by the food community, Xnext1® has developed an innovative technology (XSpectra1®) for X-ray real time inspection. The application exploits a semiconductor detector (Cadmium Telluride) and a licensed electronic readout system which has been designed to handle big flux of data. Differently from conventional machines, such application allows to discriminate multi spectral energies, so that it can gather more informations suitable to distinguish different materials. As a matter of fact, X-ray spectra strongly depend on the mediums the radiation crosses along its path, due to the radiation-matter interaction. By means of advanced imaging techniques and deep learning models, the system is able to identify organic and low density contaminants which are currently not detected. The great potentiality of such technology is also related to its wide flexibility. Indeed, it can operate in several quality industrial inspection such as ripeness status of the fruit or for instance the homogeneity of the bread loaf.
XSpectra®:最先进的实时食品污染物检测器
为了不断努力加强食品界的质量控制,Xnext1®开发了一种用于x射线实时检测的创新技术(xspectr1®)。该应用程序利用了一个半导体探测器(碲化镉)和一个授权的电子读出系统,该系统旨在处理大流量的数据。与传统机器不同的是,这种应用允许区分多光谱能量,从而可以收集更多适合于区分不同材料的信息。事实上,由于辐射与物质的相互作用,x射线光谱在很大程度上依赖于辐射在其路径上穿过的介质。通过先进的成像技术和深度学习模型,该系统能够识别目前未检测到的有机和低密度污染物。这种技术的巨大潜力也与其广泛的灵活性有关。事实上,它可以用于多种质量工业检验,如水果的成熟状态或面包的均匀性。
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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