This example project contains Hyperpsectral imaging data of sausage contaminated with pieces of plastics.
|Original Donor||Measurement System||Release Date|
|2016-05-30||Sausage contaminated with plastics.exe||20.38 MB|
The example project "Sausage contaminated with plastics" contains Hyperpsectral imaging data of sausage contaminated with pieces of plastics.
|Title||Sausage contaminated with plastics|
|Category||Food - Impurity detection|
|Sample Description||2x2 plastics on the top of a sausage stack ("Extrawurst").|
|Date of Measurement||16-04-27|
|Measurement System||STEMMER IMAGING HS Setup: Allied Vision GoldenEye CL033SWIR, Specim N17E slit30um, KOWA F12.5, Perception System|
|Measurement Description||Measurement of reflectance|
|Measurement Setup||Illumination: Halogen diffuse, background: black foam|
This data set gives an example on industrial impurity detection. So the discrimination of objects (impurities) from product (sausage) can be investigated.
Beside the sausage_plastics (979-1652nm) an additional hyperspectral cube is available named sauasage_plastics_highSpeed. The "highSpeed" data set was obtained by measuring the same object but in a reduced spectral range: 1071-1268nm (resolved by 121 spectral points).
The "highSpeed" data set shows the possibility to speed up the camera system (scan rate) by decreasing the number of spectral points to be read from the sensor.
High speed measurement is mandatory for this kind of industrial application (impurity detection) since the transport speed of objects is typically high (1-2m/s) and size of impurities typically small (in the millimeter range and smaller).