World's First AI Assistants Dedicated to Structural Health Monitoring, Electro-Mechanical Impedance (EMI), and Defective Digital Twin Visual Analysis.
Dedicated to Electro-Mechanical Impedance (EMI) & Piezoelectric (PZT) signal analysis and quantitative health monitoring.
Initialized and ready for visual inspection. Upload Before & After surface photos of your specimen to detect physical changes.
For Signal Data (ARJUN): Upload raw impedance curves, screenshots, or CSVs. Specify baseline stage vs. damaged stage to auto-align mismatched frequency ranges.
For Surface Crack Inspection (VIRUDH): Upload Before (Healthy) and After (Damaged) surface photos of your specimen to calculate matching identicality scores and delta crack extraction.