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 — 28 papers
• Computer Vision and Pattern Recognition — 16 papers
• Advanced Neural Network Applications — 16 papers
• Infrastructure Maintenance and Monitoring — 11 papers
• Welding Techniques and Residual Stresses — 6 papers
• Ultrasonics and Acoustic Wave Propagation — 3 papers
• Machine Fault Diagnosis Techniques — 2 papers
• Railway Engineering and Dynamics — 2 papers
• Wind Energy Research and Development — 2 papers
• Machine Learning — 2 papers

Highest-Cited Papers

1. Hybrid Detection-Segmentation for Precision Wire Welding with Mask-Based Offset Generation in Smart Connector Manufacturing
2. Vision-Language Models for Analog Gauge Reading: An Empirical Study of Specialization, Transfer and Reliability
3. Embodied Intelligence-Driven Active Perception and Detection Strategy Learning for Display Defects in Electric Metering Devices
4. Morphology-Aware Wasserstein Distance Loss for Bounding-Box Regression in External Pipeline Coating Inspection
5. Continuity-Driven Representation Learning for Industrial Defect Detection
6. YOLOv11–BiFPN–DAAF: An Object Detection Framework for Automated Surface Inspection of Balsa Wood Panels
7. Hybrid CNN-GRU framework for wind turbine blade defect classification and data-driven severity assessment for predictive maintenance
8. CM-YOLO: an improved YOLOv8 for defect detection and classification of CFRP composites using infrared thermography
9. High-precision railway track defect identification using YOLOv11: a comparative evaluation with Roboflow 3.0
10. SteelYOLO11 for strip steel defect detection via multi-scale sampling optimization
11. Aero-DETR: a frequency-adaptive sparse-interaction network for UAV-assisted aircraft surface defect detection
12. ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection
13. Visual detection of flap tears on abrasive flap wheels using deep learning
14. Distribution-free false-alarm calibration and chance-corrected spatial evaluation for industrial anomaly detection
15. CAM-RTDETR: an aerospace engine surface defect detection method based on improved transformer architecture
16. Lightweight YOLO-based object detection for industrial casting defect inspection
17. WPSeg-Net: A Boundary-Guided Dual-Branch Network for Molten Pool Segmentation
18. WireGC-Former: Surface defect segmentation method of steel wire ropes based on 3D point clouds
19. Deep Vision in Smart Manufacturing: MODERN Framework for Intelligent Quality Monitoring and Diagnosis
20. BEAD-Net: Bidirectional Fusion and Hourglass Expanded Asymmetric Detection for Insulator Defect Detection