Latest Research in Industrial Vision Systems and Defect Detection
50 research papers · 2026 median publication year
Top Research Topics in Industrial Vision Systems and Defect Detection
- Industrial Vision Systems and Defect Detection — 15 papers
- Advanced Neural Network Applications — 12 papers
- Computer Vision and Pattern Recognition — 11 papers
- Electron and X-Ray Spectroscopy Techniques — 2 papers
- Additive Manufacturing Materials and Processes — 2 papers
- Machine Fault Diagnosis Techniques — 1 papers
- Ultrasonics and Acoustic Wave Propagation — 1 papers
- Cryptography and Security — 1 papers
- Machine Learning in Materials Science — 1 papers
- Power Line Inspection Robots — 1 papers
Highest-Cited Papers
- An optimized YOLOv11-based model for surface defect detection on valve stems in refrigeration equipment
- Vision-based automated optical inspection for real-time quality control: hybrid single-camera deep-learning AOI for mixed-SKU bottling lines
- HGNetV2-YOLO: An Efficient and Lightweight Framework for Mechanical Component Detection in Industrial Scenes
- EGONet: edge guided omni-directional attention with multi-scale bilateral feature integration for surface defect detection
- A CNN-based Unsupervised Learning System for Detecting Stator Pin Insertion Defects in Blower Motors for Industrial Environments
- UniPCB: A Generation-Assisted Vision-Based Measurement Framework for PCB Defect Inspection
- RobustDefect-LLM: Explainable and Robustness-Aware Industrial Surface Defect Classification with Decision Support and AI-Assisted Reporting
- CEBW-YOLO11: A YOLO11-Based Model for Lithium Battery Electrode Sheet Defect Detection
- A Lightweight Model for PCB Surface Defect Detection
- Open-Set Semiconductor Defect Classification in SEM Images via Uncertainty-Aware Local Prototype Alignment
- Axial Motion Prior-Guided Robust Detection of Surface Defects in Hoist Wire Ropes
- Detection of Weld Root Crack in Metal Plates with Convolutional Neural Network
- SFEDet: edge-guided spatial-frequency fusion network for steel surface defect detection
- Defect detection of semiconductor wafer EB-SEM images based on convolutional neural networks
- Data Augmentation of Semiconductor Defect Images for SEM-ADC
- CCP-YOLO: An Improved YOLOv11n Algorithm for Steel Surface Defect Detection
- Fast-DG2GAN: A Computationally Efficient DG2GAN Variant for Industrial Injection Molding Splay Defect Generation
- SAMSEM -- A Generic and Scalable Approach for IC Metal Line Segmentation
- A synergistic coordinate and attention module for pipeline weld surface defect detection
- Efficient mechanical casting defect detection based on state space modeling and multiscale attention