ニューラルネットワークを使用した検品支援ツール開発に関する研究

抄録

Recently, almost all the quality inspection work in the manufacturing industry is automated. However, there are many products for which inspection work cannot be automated. Since the tip of a rotating tool (Diamond bar) for dental care is attached with diamond particles, all parts are slightly different. In this study, we will develop a tool to replace manual inspection. As basic research, we constructed a parts model using neural network and convolutional neural network. The model was evaluated under various conditions.