Research Progress of Visual Inspection Technology of Steel Products—A Review

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A deep learning-based approach for the automated surface inspection of copper clad laminate images

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Indicating and analysis the interrelation between terms – visual: management, control, inspection and testing

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The Role of Deep Learning in Manufacturing Applications: Challenges and Opportunities

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Measurement and inspection of electrical discharge machined steel surfaces using deep neural networks

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YOLO-IMF: An Improved YOLOv8 Algorithm for Surface Defect Detection in Industrial Manufacturing Field

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DLF-YOLOF: an improved YOLOF-based surface defect detection for steel plate

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A Robust Completed Local Binary Pattern (RCLBP) for Surface Defect Detection

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XEdgeAI: A human-centered industrial inspection framework with data-centric Explainable Edge AI approach

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Defect Enhancement Generative Adversarial Network for Enlarging Data Set of Microcrack Defect

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The implication and evaluation of geometrical imperfections on manufactured surfaces

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Synthetic Data for Defect Segmentation on Complex Metal Surfaces

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Semi-supervised anomaly detection for visual quality inspection

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Effective Crack Damage Detection Using Multilayer Sparse Feature Representation and Incremental Extreme Learning Machine

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Identification and Classification of Defects in PE Gas Pipelines Based on VGG16

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Improved SSD-assisted algorithm for surface defect detection of electromagnetic luminescence

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Surface Defect Detection of Steel Products Based on Improved YOLOv5

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Smart defect detection using transfer learning in injection molding: a comparative exploration study of deep learning architectures

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Adaptive convolutional neural network for aluminum surface defect detection

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Automatic recognition of surface defects of hot rolled strip steel based on deep parallel attention convolution neural network

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Steel Surface Defect Detection Using Learnable Memory Vision Transformer

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Enhancing Precision with an Ensemble Generative Adversarial Network for Steel Surface Defect Detectors (EnsGAN-SDD)

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Method for Determining Treated Metal Surface Quality Using Computer Vision Technology

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Zero-shot learning and classification of steel surface defects

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Multilayer Feature Extraction of AGCN on Surface Defect Detection of Steel Plates

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XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection

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A weighted multi‐source domain adaptation approach for surface defect detection

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Reflectance Transformation Imaging as a Tool for Computer-Aided Visual Inspection

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Visual inspection of mechanical components using visual imaging and machine learning

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Quantification of Construction Materials Quality via Frequency Response Measurements: A Mobile Testing Station

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Block-wise feature fusion for high-precision industrial surface defect detection

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Quality Assurance of Weld Seams Using Laser Triangulation Imaging and Deep Neural Networks

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Inspection of machining defects on mechanical parts using a computer vision system

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XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection

Clement, T., Nguyen, T. T. H., Abdelaal, M., & Cao, H. (2024) · International Conference on Consumer Electronics · doi:10.1109/icce59016.2024.10444225 · Cited by 7 · see citing works

Steel strip surface inspection through the combination of feature selection and multiclass classifiers

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Character Identification for Integrated Circuit Components on Printed Circuit Boards Using Deep Learning

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Complex surface ROI detection for steel plate fusing the gray image and 3D depth information

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Online metallic surface defect detection using deep learning

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Interdepartmental Optimization in Steel Manufacturing: An Artificial Intelligence Approach for Enhancing Decision-Making and Quality Control

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Material Quality Filter Model: Machine Learning Integrated with Expert Experience for Process Optimization

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Surface Defect Classification of Steels Based on Ensemble of Extreme Learning Machines

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A Discriminative DeepLab Model (DDLM) for Surface Anomaly Detection and Localization

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A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning

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Steel Surface Defect Detection Based on Adaptive Threshold Gray Transformation

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Special Features on Intelligent Imaging and Analysis

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Inception V3 Model-Based Approach for Detecting Defects on Steel Surfaces

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NCAT12-DET: A New Benchmark Dataset for Surface Defect Detection and a Comparative Study

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A Non-Invasive System for On-line Surface Defect Detection on Special-shaped Steel towards Real Production Lines

Liu, Y., Wang, J., Yu, H., Li, J., Li, F., & Zhao, Q. (2022) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/i2mtc48687.2022.9806583 · Cited by 4 · see citing works

Computer Vision Methods for Automating High Temperature Steel Section Sizing in Thermal Images

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A Practical Methodology for Accuracy and Quality Evaluation of Structured Light Systems in Automotive Inspection

Lagudi, A., Severino, U., Barbieri, L., & Bruno, F. (2025) · Machines · doi:10.3390/machines13070576 · Cited by 4 · see citing works

Laptop Appearance Defect Detection Based on Improved YOLOv5 Algorithm

Yang, Z., Yan, X., Liang, Y., & Zhu, H. (2023) · International Conference on Computer Graphics and Image Processing (CGIP) · doi:10.1109/cgip58526.2023.00011 · Cited by 3 · see citing works

Comparison of Traditional Tool Combination and Deep Learning Methods for Automatic Classification of Steel Surface Defects

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An industrial mineral raw material classification method based on image segmentation

Xiao, X., Guo, J., Cao, X., Zhang, X., & Pang, S. (2022) · International Conference on Manufacturing, Industrial Automation and Electronics (ICMIAE) · doi:10.1109/icmiae57032.2022.00033 · Cited by 3 · see citing works

Verification of the Mechanical Behavior of S235JR Steel Using Finite Element Analysis Approach and Theoretical Engineering Calculations

Yünlü, L., Cinoğlu, B., & Gökbayrak, M. (2025) · Engineering Perspective · doi:10.64808/engineeringperspective.1813765 · Cited by 2 · see citing works

OCC-DEIM: Simultaneous optimization of detection accuracy and computational efficiency for embedded steel defect inspection systems

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AnoNet: Weakly Supervised Anomaly Detection in Textured SurfacesPreprint

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Artificial Intelligence for Product Quality Inspection in Manufacturing Industry - Online Detection of Edge Defects on Inorganic Solid MaterialPreprint

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High-performance RT-DETR model for industrial defect detection with semantic guidance and hierarchical attention

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Color Based Image Processing Techniques to Detect Oxide Film during Welding

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Rarely Occurring Defects on Tinplates

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A Cascaded Twin Dense Network Based Metallic Surface Defect Detection Algorithm

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Active Anchors

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Histogram-Based Image Enhancement and Analysis for Steel Surface and Defects Images

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Anomaly Detection in Textured Surfaces

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Detection of Material Defects Using Graph-Based Manifold Ranking and Heterogeneous Image Features

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Small Visible Defect Detection based on Small Sample Analysis

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Self-Loosening Failure Analysis Considering Vibration Frequency: Experimental Study for the Spare Tire Carrier

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Block Matching Mosaicing for Surface Inspection Using an Autonomous Mobile Robot

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Defect Detection Method of Steel Coil End Face Based on Gray Integral Projection

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Real-Time Detection of Edge Defects on a Rolled Steel Sheet Using Transfer Learning Technique

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CHALLENGES FACED BY SMEs : A COMPREHENSIVE REVIEW OF NON-DESTRUCTIVE TESTING METHODS AND SOLUT

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An Active Learning Artificial Intelligence Driven Framework for Building Collaborative Visual Inspection ModelsPreprint

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Classificação de circuitos integrados em placas de circuitos impressos por meio de redes neurais convolucionais

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Automation Inspection in Metal Fabrication: Enhancing Sheet Metal Forming Processes with Automation, Machine Vision and Image Correlation for Quality Assurance

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Machine Learning for Inline Surface Inspection Systems: Challenges, Approaches, and Application Example

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Applying Deep Learning to Defect Detection in Steel Manufacturing

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Trend of Quality Assurance of Steel Products Using Machine Vision Systems

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