A study on the sample extraction for a quality inspection tool and operator training

Abstract

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 train the inspection work and to replace manual inspection. As basic research, we checked the training effect by training tool and constructed a parts model using neural network and convolutional neural network. This model was evaluated using the training result.