How machine vision supports analyses of real-time hyperspectral image data
Spectroscopy enables its user to identify spectral features that are not visible for common cameras or the human eye. Those features usually are directly related to the optical properties of the analysed surface. Due to the fact that each material has a different spectral signature such data has the potential not only to separate specific materials from others, but also allowing it to make qualitative statements on the analysed object. Spectral imaging in a next step allows to examine a spatial distribution of different materials and quality differences.
Hyperspectral snapshot cameras, such as the FireflEYE S185 from Cubert, provide a full data cube immediately – without the limitations of common spectral imaging systems based on line scanning. This gives the user the advantage to work on hyperspectral live image data, tracking processes where changes are hidden in spectral features.