The Automated Visual Inspection of Machined Surface Coarseness

The coarseness inspection of machined surface plays a important role in machine industry for it influence the machine 's life-span and performance. It aims to enhance inspection automation performance. In our paper, a method of automated visual inspection is proposed. By analyzing various machined surface's power spectrum, we abstract the feature vector of machined surface. Then feature is inputted into networks for training and recognition. The experiment shows the method can evaluate machined surface's coarseness successfully. Compared with some other classic method, this method is more rapid and automation has higher precision.