Rancidness of walnuts
In walnut production, an important quality parameter is the degree of rancidness – which is caused by natural walnut oils degrading over time.
The solution is to find correlations between accurate laboratory measurements of rancid walnuts and hyperspectral images. From this a calibration is constructed that enables HELIOS hyperspectral cameras to quantitatively determine the degree of rancidness, in-situ and in real-time. This combination of laboratory accuracy and precise inspection and ejection, of rancid walnuts, can be applied round-the-clock to all product streams.
Near Infrared Hyperspectral Imaging offers the degree of classification accuracy necessary for Food applications, by directly measuring the chemical molecular composition through the absorption of light (spectroscopy).
EVK’s portfolio of sensor-based sorting technology includes Colour, Hyperspectral and Inductive sensor systems, which can be used individually or, with Sensor- Fusion, can be combined to form a powerful sorting application that can process multiple material types.Hyperspectral Imaging