Projects

2024: Evaluating machine vision techniques for enhanced grain sorting process

Project duration 01.06.24 -28.02.25

Project manager Veiko Vunder

IntelliDry’s feedback mechanism through machine vision opens up possibilities for

farmers and laboratories to use a trained model for what has traditionally been done

manually or with the human eye. By capturing images of sample quantities similarly to

optical sorters, it’s possible to assess the level of contamination. Additionally, the

trained model provides the opportunity to determine the quantity of other seeds

present, which is crucial for seed breeding and the preparation of specialty foods. The

device is installed between the trash and the clean chute of the sorter, providing

immediate feedback on the efficiency of the sorter or pre-cleaner. In subsequent stages,

the solution will be able to suggest changes to the sorter settings or control them

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