Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks
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DOI: 10.1016/j.autcon.2018.03.028
Abstract: Abstract Automated interpretation of sewer CCTV inspection videos could improve the speed, accuracy, and consistency of sewer defect reporting. Previous research has attempted to use computer vision, namely feature extraction methods for automated classification of… read more here.
Keywords: sewer cctv; classification; automated defect; neural networks ... See more keywords
A deep learning-based framework for an automated defect detection system for sewer pipes
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DOI: 10.1016/j.autcon.2019.102967
Abstract: Abstract The municipal drainage system is a key component of every modern city's infrastructure. However, as the drainage system ages its pipes gradually deteriorate at rates that vary based on the conditions of utilisation (i.e.,… read more here.
Keywords: detection; automated defect; system; framework ... See more keywords
Automated defect detection in FRP-bonded structures by Eulerian video magnification and adaptive background mixture model
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DOI: 10.1016/j.autcon.2020.103244
Abstract: Abstract A computer-aided methodology for automated defect detection in fiber-reinforced polymer (FRP) bonded civil engineering structures via Eulerian video magnification integrated with adaptive background mixture model is demonstrated. In this methodology, Eulerian video magnification is… read more here.
Keywords: video; methodology; automated defect; defect detection ... See more keywords