2A1-C06 サポートベクタマシンを用いた画像処理による電子回路基板からのコンデンサの抽出

概要

論文の詳細を見る
In the task of recycling wasted televisions, extraction of harmful capacitor parts from an electronic circuit board is inevitable. In order to robotize this task, it is necessary to recognize these parts by image processing. The problem of this task is that the size and the position of these parts are different from one board to another according to the product company, the age of product, the kind of product, etc. Moreover, it would be difficult to keep a lighting condition in a recycling factory, compared with a fabricating/assembling factory. In this research, after narrowing the candidates for capacitor parts by using a common template matching method, these candidates are classified further into two categories of capacitor parts and others by utilizing Support Vector Machine, which is one of the classifying methods in the artificial intelligence research area. This recognition was successfully carried out with almost 100% probability. This method has a merit of being robust against the lighting conditions.
一般社団法人日本機械学会の論文