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