Much of the quality inspection work in the manufacturing industry is automated. However, there are many products for which inspection work cannot be automated. For example, the tip of a rotating tool (Diamond bar) is attached with diamond particles. The same thing does not exist as one diamond bar. In this study, we will develop a tool to replace manual inspection. As a basic research, we constructed a model using neural network and convolutional neural network. The model was evaluated under various conditions. As a result, the accuracy was about 75% for the neural network model and about 85% for the convolutional neural network model.