Hyperspectral imaging as a method for in-line product assessment has evolved into an industrial technique widely used for spectral characterization of materials. The currently available computing performance allows the execution of data processing and chemometric analysis in milliseconds and enables the use of hyperspectral imaging in real time. Potential applications and the corresponding requirements are manifold. Separation of different materials, detection of defects and quantification in quality management are a few examples of major areas of operation. The broad range of potential applications is illustrated by examples covering different fields such as recycling, food or construction materials and different wavelength ranges of the used hyperspectral cameras.
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