Study on Character Recognition of Film Images of Radiation Transmission Tests

Abstract

Radiation transmission testing (RT) is used to evaluate the quality of internal welds of steel materials. In an existing study, the authors proposed a method to automatically determine the location of defects from film images of radiation transmission tests using a Convolutional Neural Network, and showed that the method is useful for assisting on-site engineers in inspections. However, the information on the object in the film image is manually input by visual reading. In this study, we propose a prototype model that recognizes alphabets, numbers, and symbols from film images using YOLOX.