Latest Research in Industrial Vision Systems and Defect Detection

Top Research Topics in Industrial Vision Systems and Defect Detection

• Industrial Vision Systems and Defect Detection — 16 papers
• Advanced Neural Network Applications — 15 papers
• Computer Vision and Pattern Recognition — 14 papers
• Infrastructure Maintenance and Monitoring — 7 papers
• Ultrasonics and Acoustic Wave Propagation — 3 papers
• Structural Integrity and Reliability Analysis — 2 papers
• Anomaly Detection Techniques and Applications — 2 papers
• Tunneling and Rock Mechanics — 1 papers
• Machine Learning in Materials Science — 1 papers
• Microwave Imaging and Scattering Analysis — 1 papers

Highest-Cited Papers

1. Towards edge-deployable non-destructive testing: A hardware-aware lightweight framework for real-time phased array ultrasonic testing of girth welds
2. Tunnel face extraction method for drill-and-blast tunnels considering occlusion and blur degradation
3. Aligning Expert Knowledge With Microstructural Features: A Cross‐Modal CLIP Framework for Continuous Spheroidization Grading of 12Cr1MoV Steel
4. Improved Siamese Network for High-Resolution Printed Surface Defect Detection Under Few-Shot Conditions
5. Dual-Channel Scale-Adaptive Clutter Suppression with Confidence-Derived Gating for Microwave Inspection of Curved Radar-Absorbing Materials
6. A Hybrid Data–Physics Residual Network with Class-Orthogonal Physics Heads for EMAT Lamb-Wave Fault Diagnosis on Rail-Steel Plates
7. High accuracy and lightweight surface defect detection of metal strips based on improved YOLOv5s
8. WF-MobileNet: A Lightweight Wavelet–Fusion Network for Classifying Defects in 3D Surface Morphology Images of Seamless Steel Pipes
9. Defect Characterization and Segmentation in APS Thermal Barrier Coatings SEM Images Using BES-YOLO11
10. Steel surface small defect target detection based on improved YOLOv8
11. XB-RTDETR: bearing defect detection based on multi-scale edge feature fusion and intra-scale feature interaction
12. Prediction of Mass Loss Due to Atmospheric Corrosion in Power Transmission Towers Using an Image-Based Artificial Neural Network Approach
13. CMNet: Hybrid CNN–Mamba Network for Fabric Defect Detection
14. A lightweight real-time method for detecting irregular potato surface defects for sorting lines
15. From Benchmark to Deployment: Shift-Robust Fabric Recognition for Industrial Textile Onboarding
16. An attention-guided dual-branch global–local deep learning framework for multiclass surface defect classification in steel billets
17. Evaluating Transfer-Learning Strategies for Multi-Label Classification of Concrete Bridge Defects with Limited Data
18. A hybrid CNN–Mamba network with interpretable mixture-of-experts routing for tunnel lining surface defects segmentation
19. Molten mark classification using multi-scale directional cross-scale attention fusion
20. Catalogue Photography as a Cold Start: Toward Deployable Rotary Milling Tool Recognition