Machine learning-based imaging system for surface defect inspection

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State of the Art in Defect Detection Based on Machine Vision

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Recent advances in surface defect inspection of industrial products using deep learning techniques

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A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence

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Automatic classification of pavement crack using deep convolutional neural network

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An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference

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A bearing fault diagnosis model based on CNN with wide convolution kernels

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Printed Circuit Board Defect Detection Using Deep Learning via A Skip-Connected Convolutional Autoencoder

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Progress, challenges and trends on vision sensing technologies in automatic/intelligent robotic welding: State-of-the-art review

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Advanced Data Collection and Analysis in Data-Driven Manufacturing Process

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A smart surface inspection system using faster R-CNN in cloud-edge computing environment

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Computer vision and deep learning for fish classification in underwater habitats: A survey

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Prostate Cancer Detection Using Deep Learning and Traditional Techniques

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A Survey on Deep Learning Empowered IoT Applications

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Defect Detection of Industry Wood Veneer Based on NAS and Multi-Channel Mask R-CNN

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A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments

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Detection of apple defect using laser-induced light backscattering imaging and convolutional neural network

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Mobile-Edge-Computing-Based Hierarchical Machine Learning Tasks Distribution for IIoT

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

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Deep Learning-Based Crack Detection: A Survey

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Surface defect detection of steel strips based on classification priority YOLOv3-dense network

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Improving the Accuracy of Convolutional Neural Networks by Identifying and Removing Outlier Images in Datasets Using t-SNE

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A systematic literature review of defect detection in railways using machine vision-based inspection methods

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A Novel Method Based on Deep Convolutional Neural Networks for Wafer Semiconductor Surface Defect Inspection

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3D Printed Electronics of Non-contact Ink Writing Techniques: Status and Promise

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Inspecting Method for Defective Casting Products with Convolutional Neural Network (CNN)

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Comparative assessment of common pre-trained CNNs for vision-based surface defect detection of machined components

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Automated detection of railway defective fasteners based on YOLOv8-FAM and synthetic data using style transfer

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SDD-CNN: Small Data-Driven Convolution Neural Networks for Subtle Roller Defect Inspection

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Deep learning approach for defective spot welds classification using small and class-imbalanced datasets

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Surface Defects Recognition of Wheel Hub Based on Improved Faster R-CNN

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Steel Surface Defect Diagnostics Using Deep Convolutional Neural Network and Class Activation Map

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Depth-wise Squeeze and Excitation Block-based Efficient-Unet model for surface defect detection

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Deep Learning in Diverse Intelligent Sensor Based Systems

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A systematic review of machine learning approaches in carbon capture applications

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A Contactless PCBA Defect Detection Method: Convolutional Neural Networks With Thermographic Images

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Blister Defect Detection Based on Convolutional Neural Network for Polymer Lithium-Ion Battery

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Surface defect classification and detection on extruded aluminum profiles using convolutional neural networks

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A Primer on the Factories of the Future

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Convolutional Neural Network Based Surface Inspection System for Non-patterned Welding Defects

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Improving Transactional Data System Based on an Edge Computing–Blockchain–Machine Learning Integrated Framework

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A Generic Semi-Supervised Deep Learning-Based Approach for Automated Surface Inspection

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Deep Convolution Neural Network Approach for Defect Inspection of Textured Surfaces

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Structural damage-causing concrete cracking detection based on a deep-learning method

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Case study: Performance analysis and development of robotized screwing application with integrated vision sensing system for automotive industry

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An Efficient Network for Surface Defect Detection

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LAACNet: Lightweight adaptive activation convolution network-based defect detection on polished metal surfaces

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Intelligent Detection Method of Forgings Defects Detection Based on Improved EfficientNet and Memetic Algorithm

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An accurate detection method for surface defects of complex components based on support vector machine and spreading algorithm

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Rolling Surface Defect Inspection for Drum-Shaped Rollers Based on Deep Learning

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Multi-task convolutional neural network system for license plate recognition

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Strain measurement during tensile testing using deep learning-based digital image correlation

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Generative Adversarial Networks for Road Crack Image Segmentation

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Computer vision defect detection on unseen backgrounds for manufacturing inspection

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Development of automated feature extraction and convolutional neural network optimization for real-time warping monitoring in 3D printing

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PreAugNet: improve data augmentation for industrial defect classification with small-scale training data

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MAVNet: An Effective Semantic Segmentation Micro-Network for MAV-Based Tasks

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An Advanced Operation Mode with Product-Service System Using Lifecycle Big Data and Deep Learning

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Approach to Automated Visual Inspection of Objects Based on Artificial Intelligence

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Intelligent detection of edge inconsistency for mechanical workpiece by machine vision with deep learning and variable geometry model

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Optimization of wire-EDM process parameters for Ni–Ti-Hf shape memory alloy through particle swarm optimization and CNN-based SEM-image classification

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AI-enabled defect detection in industrial products: A comprehensive survey, key insights and future research challenges

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

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Improved Faster R-CNN algorithm for defect detection in powertrain assembly line

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Optical inspection of nanoscale structures using a novel machine learning based synthetic image generation algorithm

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Detection of Micro-Defects on Irregular Reflective Surfaces Based on Improved Faster R-CNN

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Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective

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From data analysis to intelligent maintenance: a survey on visual defect detection in aero-engines

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RoadID: A Dedicated Deep Convolutional Neural Network for Multipavement Distress Detection

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