Modern techniques for automatic classification of products

Researches throughout the past few years, having as a goal the automatic classification of products, via calculus systems implementation, as well as machine vision techniques, and artificial intelligence field methods, have lead to very promising results. Using them allowed for the assessment of some parameters such as shape, colour and the integrity degree of the products analyzed, having much more superior results than the classical classification installations. Still, due to these techniques particularities, the classification process implies going through some more phases. Both the experimental methodology for classifying vegetal products and some original algorithms are presented in this paper. A new original program for algorithms implementation was developed and used during the tests.