Tool state learning device, tool state estimation device, control device, tool state learning method, and tool state estimation method

A non-transitory computer readable medium configured to store a program for causing a processor to control a tool state learning device to execute a tool state learning method, the tool state learning method comprising:

• acquiring, as input data, an arbitrary image of a machined surface of an arbitrary workpiece captured by an imaging device, the machined surface having been cut with an arbitrary tool, and acquiring, as a label, a state of the tool, the state being annotated in accordance with predetermined grades each indicating a degree of tool wear based on the arbitrary image;
• performing matching processing by using at least CAD data and the arbitrary image, specifying the image region of the machined surface, masking, in the arbitrary image, an image region other than the specified image region of the machined surface, and eliminating the effect of the reflection from the image region other than the specified image region of the machined surface;
• acquiring the arbitrary image having the image region masked, as input data;
• and
• performing supervised learning using the input data and the label that have been acquired, and generating a trained model configured to input a machined surface image of a machined surface of a workpiece captured by the imaging device, and to output a state of a tool with which the machined surface of the workpiece has been cut.