A systematic review on deep learning with CNNs applied to surface defect detection

E Cumbajin, N Rodrigues, P Costa, R Miragaia… - Journal of …, 2023 - mdpi.com
Surface defect detection with machine learning has become an important tool in industries
and a large field of study for researchers or workers in recent years. It is necessary to have a …

An overview of deeply optimized convolutional neural networks and research in surface defect classification of workpieces

Q Li, Z Luo, H Chen, C Li - IEEE Access, 2022 - ieeexplore.ieee.org
Currently, the development of industry is becoming increasingly rapid. Technicalization,
informatization and industrialization give the fundamental impetus for industrial development …

A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models

MMH Imran, S Jamaludin, AFM Ayob - Ocean Engineering, 2024 - Elsevier
Corrosion presents significant challenges in the marine, offshore, and oil and gas industries,
resulting in annual economic losses amounting to billions of dollars. To address these …

Corrosion inspection and evaluation of crane metal structure based on UAV vision

Q Zhou, S Ding, Y Feng, G Qing, J Hu - Signal, Image and Video …, 2022 - Springer
Based on the image acquisition of complex steel structures in high altitude by unmanned
aerial vehicle, the remote detection and quantitative evaluation method for the surface …

[HTML][HTML] Methodology for generating synthetic labeled datasets for visual container inspection

G Delgado, A Cortés, S García, E Loyo… - … Research Part E …, 2023 - Elsevier
Nowadays, containerized freight transport is one of the most important transportation
systems that is undergoing an automation process due to the Deep Learning success …

The hull structure and defect detection based on improved YOLOv5 for mobile platform

J Zhou, W Li, H Fang, Y Zhang… - 2022 41st Chinese …, 2022 - ieeexplore.ieee.org
Hull inspection is of great significance to ensure the safety of ships for ocean transportation.
Improving the intelligent performance of inspection can benefit the efficiency of hull …

[PDF][PDF] Pipeline for Visual Container Inspection Application using Deep Learning.

G Delgado, A Cortés, E Loyo - IJCCI, 2022 - scitepress.org
Containerized cargo transportation systems are associated to many visual inspection tasks.
Especially during the process of loading and unloading containers from and to the vessel …

부식검출과분석에적용한영상처리기술동향

김범수, 권재성, 양정현 - 한국표면공학회지, 2023 - dbpia.co.kr
Corrosion detection and analysis is a very important topic in reducing costs and preventing
disasters. Recently, image processing techniques have been widely applied to corrosion …

Spotting shipping container codes with deep learning methods

R Zhang - 2022 - open.library.ubc.ca
Automated container code reading systems are of great value to logistics management.
However, previous container code spotting methods have limited recognition performance in …