non-destructive testing

Today, artificial intelligence and image processing are widely used for the precise analysis of radiographic images of industrial welds in non-destructive testing (NDT). These systems enhance image quality and reduce noise, enabling the automated detection and classification of welding defects. The utilization of deep learning minimizes reliance on human interpretation and limits external influencing factors. This technology empowers welding inspectors and engineers across various industries, such as oil, gas, and automotive, to analyze data swiftly and accurately, significantly improving the efficiency and safety of industrial processes.