Computer vision‐based automated defect detection in ceramic bricks
Sign Up to like & getrecommendations! Published in 2024 at "Systems Research and Behavioral Science"
DOI: 10.1002/sres.3040
Abstract: Nowadays, the development of cost‐effective, data‐driven technological processes using telecommunication technologies is essential. One of the focuses is on automating the process of evaluating the manufactured goods' quality. Vision‐based technology is now becoming increasingly used… read more here.
Keywords: vision based; vision; automated defect; computer vision ... See more keywords
Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Automation in Construction"
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
Sign Up to like & getrecommendations! Published in 2020 at "Automation in Construction"
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
Sign Up to like & getrecommendations! Published in 2020 at "Automation in Construction"
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
Automated defect detection in nanomaterial-coated-fabrics using variational autoencoder
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Engineered Fibers and Fabrics"
DOI: 10.1177/15589250241293882
Abstract: This paper introduces an unsupervised method for detecting regions with a high density of nanomaterials on coated fabric using Variational Autoencoder, a generative model capable of learning dominant features of the input data and generating… read more here.
Keywords: variational autoencoder; defect detection; using variational; coated fabrics ... See more keywords