Applicability of Artificial Intelligence in Ultrasonic Testing for Non-Destructive Evaluation

This technical note highlights the expanding role of OpenCV, an open-source computer vision library, across diverse scientific and industrial domains. It specifically focuses on its application in emerging fields such as microfluidics, topology optimization, biofuel production, biocomposites, dentistry, and non-destructive testing (NDT). The note provides a detailed overview of an OpenCV-based methodology for automated weld inspection, outlining key steps like grayscale conversion, Gaussian blur, edge and contour detection, and the extraction of crucial weld quality metrics (width, height, area, symmetry). Ultimately, the note emphasizes OpenCV's significance in advancing automated inspection systems and fostering interdisciplinary innovation in areas like automation, medical diagnostics, and manufacturing quality assurance, suggesting future integration with machine learning for enhanced predictive capabilities.