semantic_scholare-Journal of Nondestructive Testing2026-08-01
AI‑Powered Real-Time Structural Health Monitoring Using Crack Detection, Vegetation Segmentation, and Depth Analysis
Rijja H, Rohith Varshighan S, S. Veeramachaneni, Sumedha Maharana
TL;DR: An AI-driven system that can provide comprehensive structural health diagnostics from a single input structural image, using six parallel computer-vision pipelines with experimentally validated real-time inference performance, forms a strong base toward automated, scalable, and data-driven structural health monitoring.
Context / Content: Civil infrastructure and heritage structures deteriorate with time due to environmental exposure, material aging, moisture ingress, pollution, and biological growth. Traditional inspection relies heavily on manual assessment, which is slow, risky, and subjectiv…