/Seeing-the-Unseen

Applications of Machine Learning with Ultrasound Data for Non-Destructive Testing

Primary LanguageJupyter NotebookMIT LicenseMIT

Seeing-the-Unseen

Applications of Machine Learning with Ultrasound Data for Non-Destructive Testing

Utilising machine learning to reconstruct a material’s polycrystalline orientation map using ultrasound travel times. In addition, applying machine learning techniques to predict if an image pertaining ultrasound data contains a flaw and returning the predicted size of the flaw.