Fundamental Study on Evaluation System of Beginner’s Welding Using CNN

This paper describes a fundamental system to evaluate the welding performed by beginners. The authors took several pictures of metal plates welded by beginners, and then made image data. The image data is a part of welding joint in the picture. The authors extracted the welding partial image from the picture by hand. The extracted image data are divided into two categories. The one is “good” welding image and the other is “bad” one. The image was inputted to CNN to classify the images to “good” or “bad”. In the experiment, the validation of CNN was carried out. In the conclusion part, the result of the experiment and future works are discussed.