Automatic classification of electronic components based on the support vector machine

Paweł Fidelus, Jerzy Martyna

Abstract


In this paper, we present a classification of electronic components in the electronic factory. This classification provides relevant information for correcting the manufacturing process, thereby enhancing the production fields and the quality of product. Our classification system based on the support vector machine (SVM) classifies all the used electronic components into predefined categories that are learnt from the training samples. The system has been deployed in the manufacturing line and has met the design criteria of over 90% of the classification rate and 80% of the classification accuracy.

Keywords


support vector machine; classification

References


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DOI: http://dx.doi.org/10.21936/si2013_v34.n2B.68