Optical spectroscopy and machine learning enhancing food sorting

Anna Pakuła

a presentation by Anna Pakuła, Warsaw University of Technology, at the 2021 edition of the Smart Farming Conference

Anna Pakuła received the MSc. Eng. degree at Warsaw University of Technology (Poland) in 2004 in Marketing and Management and in 2006 in Photonics Engineering. In 2011 she finished the postgraduate course on Intellectual Property Management (University of Warsaw, Poland) and in 2016 she received PhD at Warsaw University of Technology. The main aim of her doctoral dissertation was to apply novel illumination techniques in optical profilometry.

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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.

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