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Step into the valuable hyperspectral technology by reading tutorials accessible from this page.

 

 

Get started

You like to get started with hyperspectral imaging? Read this page for an easy step-in.

Hyperspectral imaging step by step

This document guides the reader through a complete hyperspectral imaging workflow beginning with the setup of components and ending up with the inspection of a color stream to discriminate taught plastics.

Exploratory analysis of plastics

Exploratory analysis are often the very first step after the acquisition of data from a camera system. In this tutorial various plastics are investigated by NIR line-scan HS imaging. Different spectral properties of the objects are explored.

Impurity detection on sausage

In food processing the detection of unwanted objects on goods is needed. This page summarizes a simple example on the detection of some plastic pieces on top of a sausage stack.

Quantitative analysis of pills

In food processing the detection of unwanted objects on goods is needed. This page summarizes a simple example on the detection of some plastic pieces on top of a sausage stack.

 

 

 

 

In many industries quantitative measurement of spectral information gives an valued input e.g. for quality inspection. This page summarizes a simple example on modelling the API (active pharmaceutical incrediant) of pills.

The aim is to find a model which allows the measurement of the amount of the chemical incrediant in pills. As a result the achieved model is applied onto the measurement data and result in a gray-value image, where its pixel values correspond to the quantity (to the amount) of the modelled substance.

In this tutorial pills of different content of Ibuprofen are investigated by NIR line-scan HS imaging. After a short exploratory analysis, firstly the CCI-constrain method is used for modeling, after that Matlab is used to do chemometric modelling.

 

 

 

 


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