System for creating learned model for component image recognition, and method for creating learned model for component image recognition

A system for creating a learned model for component image recognition, the learned model being used when performing image recognition by imaging an imaging target with a camera, the imaging target being a component that is picked up by a suction nozzle of a component mounter, or a component that is mounted on a circuit board, the system comprising:

• a computer configured to acquire a reference-learned model to be used for image recognition of a reference component,
• wherein the computer is configured to
• collect sample component images for each type of a component having a predetermined similarity with the reference component,
• obtain information of an inspection result acquired from an inspection device,
• calculate a failure occurrence rate for each type of the component based on the information of the inspection result,
• when the failure occurrence rate exceeds a predetermined threshold, create a component-by-component learned model to be used for image recognition of the component for each type of the component, the component-by-component learned model being created by adding the sample component image for each type of the component as teacher data of the reference-learned model, and re-learning the added sample component image.