railway track crack detection system project ppt

All source code are released in this repository.

Sixth World Conference on Structural Control and Monitoring, July, 2014. “Vision-based Automated Visual Inspection of Large-scale Bridges”. “Vision-Based Automated Crack Detection for Bridge Inspection.” Computer-Aided Civil and Infrastructure Engineering 30, no. PublicationĬhul Min Yeum and Shirley J Dyke. By evaluating images from many different angles and utilizing knowledge of a fault’s typical appearance and characteristics, the proposed technique can successfully detect faults on a structure. To address these limitations, a new vision-based visual inspection technique is proposed by automatically processing and analyzing a large volume of collected images from unspecified locations using computer vision algorithm. However, current procedures followed by human inspectors demand long inspection times to cover large and difficult to access bridges, and rely strongly on the inspector’s subjective or empirical knowledge.

Visual inspection of civil infrastructure is customarily used to identify and evaluate faults such as cracks, corrosion, or deformation. Vision-Based Automated Crack Detection for Bridge Inspection

Railway track crack detection system project ppt