Automatic inventory of multi-part kits using computer vision

Abstract

A prototype tool for the detection, segmentation, classification and counting of Lego pieces based on the OpenCV artificial vision library is presented. This prototype arises before the need to automate the complex and tedious task of the inventoried one of Lego kits of the MindStorm serie. In the process of detection and segmentation there have been used skills of threshold and the algorithm of Watershed segmentation. For the process of classification and count have been used two different approaches in the securing of the vector of characteristics of the image: BOW and Naive; as well as vector machines support (SVM) for the classification.