DiffectNet: diffusion-enabled conditional target generation of internal defects in ultrasonic non-destructive testing (IMAGE)

Chung Ang University

DiffectNet: diffusion-enabled conditional target generation of internal defects in ultrasonic non-destructive testing

Caption

This illustration depicts a non-destructive evaluation system empowered by generative artificial intelligence (AI) to simulate and analyze internal material defects. Leveraging virtual defect engineering and advanced AI, the system supports high-fidelity ultrasonic imaging, and enables rapid, defect-aware diagnostics without causing damage. This addresses data scarcity and enhances reliability in modern industrial applications.

Credit

Prof. Sooyoung Lee from the School of Mechanical Engineering at Chung-Ang University

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