Latest Research in Automated Visual Quality Inspection

Top Research Topics in Automated Visual Quality Inspection

• Industrial Vision Systems and Defect Detection — 30 papers
• Computer Vision and Pattern Recognition — 18 papers
• Advanced Neural Network Applications — 16 papers
• Infrastructure Maintenance and Monitoring — 7 papers
• Welding Techniques and Residual Stresses — 6 papers
• Ultrasonics and Acoustic Wave Propagation — 4 papers
• Additive Manufacturing Materials and Processes — 3 papers
• Wind Energy Research and Development — 2 papers
• Machine Learning — 2 papers
• Electron and X-Ray Spectroscopy Techniques — 2 papers

Highest-Cited Papers

1. Automated detection of edge trimming-induced delamination in GFRPs using SIFT-based image registration and differencing
2. YOLOv13-ADR: An Adaptive Deformable Convolution and Neighborhood-Aware Recombination Network for Wind Turbine Blade Defect Detection
3. Rendering Synthetic Defects for Learning‐Based Industrial Inspection
4. Morphology-aware supervision improves real-time wind turbine blade defect localization in unstructured natural environments
5. An optimized YOLOv11-based model for surface defect detection on valve stems in refrigeration equipment
6. Vision-based automated optical inspection for real-time quality control: hybrid single-camera deep-learning AOI for mixed-SKU bottling lines
7. Physics-guided label-free ultrasonic testing of high-speed rail wheels with diffusion models
8. HGNetV2-YOLO: An Efficient and Lightweight Framework for Mechanical Component Detection in Industrial Scenes
9. Classical Computer Vision for Automated Quality Inspection: A Reproducible Study Integrating SPC and Process Capability
10. Classical Computer Vision for Automated Quality Inspection: A Reproducible Study Integrating SPC and Process Capability
11. Pseudo defect guided meta calibration for few shot industrial defect segmentation
12. Precise Top-Layer Fabric Segmentation for Fabric Destacking with Edge- and Shape-Aware Deep Networks
13. Fabric weft density measurement based on convolutional neural network
14. EGONet: edge guided omni-directional attention with multi-scale bilateral feature integration for surface defect detection
15. A CNN-based Unsupervised Learning System for Detecting Stator Pin Insertion Defects in Blower Motors for Industrial Environments
16. UniPCB: A Generation-Assisted Vision-Based Measurement Framework for PCB Defect Inspection
17. Wind Turbine Blade Crack Detection and Assessment in Images Using Machine Learning
18. RobustDefect-LLM: Explainable and Robustness-Aware Industrial Surface Defect Classification with Decision Support and AI-Assisted Reporting
19. Benchmarking one-class and binary classifiers for weld defect detection using acoustic emission signals
20. PCA-Enhanced Geometric Inspection: Robust Anomaly Detection in Industrial Settings

Sub-Regions

• Industrial Vision Systems and Defect Detection — 50 papers
• Infrastructure Maintenance and Monitoring — 20 papers
• Welding Techniques and Residual Stresses — 20 papers
• Advanced Neural Network Applications — 16 papers
• Adrenal Hormones and Disorders — 3 papers
• Computer Vision and Pattern Recognition — 3 papers