Optical spectroscopy and machine learning enhancing food sorting

jan de jonghe

Optimum Sorting develops and manufactures optical sorting machines for the food processing industry, mainly focusing on the sorting of potato products, candy, vegetables, nuts and dried fruits. Optimum’s sorting machines detect foreign materials in real time at high capacity, using the principles of light reflection, scattering and fluorescence. We will present a selection of results of an Actphast project in which we explored the potential of spectroscopy and the combination with machine learning to improve the detection of difficult defects in certain types of nuts.

Continue reading “Optical spectroscopy and machine learning enhancing food sorting”