Concrete crack detection with handwriting script interferences using faster region‐based convolutional neural network

• Published in: Computer-aided civil and infrastructure engineering Vol. 35; no. 4; pp. 373 - 388
• Main Authors: Deng, Jianghua, Lu, Ye, Lee, Vincent Cheng‐Siong
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc 01.04.2020
• Subjects: Artificial neural networks; Bridge inspection; Bridge maintenance; Comparative studies; Concrete; Concrete bridges; Cracks; Datasets; Flaw detection; Handwriting; Neural networks; Repair & maintenance; Structural failure; Surface cracks

The current bridge maintenance practice generally involves manual visual inspection, which is highly subjective and unreliable. A technique that can automatically detect defects, for example, surface cracks, is essential so that early warnings can be triggered to prevent disaster due to structural f...