Method and apparatus for generating arc image-based welding quality inspection model using deep learning and arc image-based welding quality inspecting apparatus using the same

A method for generating an arc image-based welding quality inspection model using deep-learning, the method comprising:

• measuring, by a hall sensor, a welding current flowing in a base metal through an arc welding machine;
• measuring, by a voltage meter, a welding voltage through a circuit generated between the arc welding machine and the base metal;
• capturing, by a camera, an image of a welding target area on which the arc welding machine performs welding;
• identifying, by a model generator, a welding state based on the welding current measured using the hall sensor and the welding voltage measured using the voltage meter;
• obtaining, by the model generator, an arc image based on the image captured using the camera;
• associating, by the model generator, the obtained arc image with a welding quality identified based on the arc image to generate a dataset;
• and
• applying, by the model generator, the generated dataset to a deep-learning model to generate an arc image-based welding quality inspection model.

An apparatus for monitoring a welding quality based on an arc image, the apparatus comprising:

• a welding bed for fixing a base metal and for transferring the base metal at a preset speed;
• a feeder for supplying a filler metal;
• an arc welding machine for welding the filler metal supplied from the feeder to the base metal using an arc;
• a camera for capturing an image of a welding target area on which the arc welding machine performs welding;
• a controller for controlling the welding bed, the feeder, and the arc welding machine to control the welding process;
• and
• a monitoring unit configured to:
• acquire an arc image based on the image captured using the camera;
• and
• identify whether a welding quality is good or bad, based on the arc image.