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What is Automated Concrete Defect Detection Using CNN about?

This study focuses on developing computer vision algorithms using convolutional neural networks (CNN) to automatically detect microstructural defects in concrete, addressing the limitations of human visual inspection. The research compares various CNN architectures, including U-Net, LinkNet, and PSPNet, with the U-Net model showing the best performance metrics for defect detection. The proposed methods aim to enhance the assessment of concrete quality, facilitating the identification of critical issues in s

Author

chrisanto.ceg

Language

EN