Al based acoustic wave monitoring of rail defects like cracks, fracture and prediction for rail wear, quality along with other parameter.
Source
- Smart India Hackathon 2024 (opens in a new tab)NC046 / HARDWARE / Ministry of Housing and Urban AffairsFinale began: 11 Dec 2024
Source summary
Develop AI-assisted acoustic monitoring to identify rail cracks, fractures and wear while trains operate. The source proposes transmitting acoustic signals into rails and analysing reception patterns to distinguish normal conditions from defects, with information about rail quality, structure and distance from a fixed reference point. Safety and prediction accuracy must be established through testing.