Results 11 to 20 of about 118,648 (215)
Swin Transformer Combined with Convolution Neural Network for Surface Defect Detection
Surface defect detection aims to classify and locate a certain defect that exists in the target surface area. It is an important part of industrial quality inspection.
Yinghao Li +4 more
doaj +1 more source
Vision-Based System for Black Rubber Roller Surface Inspection
This paper proposes a machine vision system for the surface inspection of black rubber rollers in manufacturing processes. The system aims to enhance the surface quality of the rollers by detecting and classifying defects.
Thanh-Hung Nguyen +6 more
doaj +1 more source
Detection of Surface Defects in Ceramic Tiles With Complex Texture
To solve the problem of false defect detection owing to the interference of the texture attribute of ceramic tiles, a method for detecting surface defects in complex-textured ceramic tiles is proposed.
Huailiang Zhang +3 more
doaj +1 more source
TSDNet: A New Multiscale Texture Surface Defect Detection Model
Industrial defect detection methods based on deep learning can reduce the cost of traditional manual quality inspection, improve the accuracy and efficiency of detection, and are widely used in industrial fields.
Min Dong +3 more
doaj +1 more source
YOLOv4-MN3 for PCB Surface Defect Detection
Surface defect detection for printed circuit board (PCB) is indispensable for managing PCB production quality. However, automatic detection of PCB surface defects is still a challenging task because, even within the same category of surface defect ...
Xinting Liao +5 more
doaj +1 more source
Bearing surface quality has significant impact on the working performance and durability of the mechanical transmission equipment. The traditional visual detection methods for bearing surface defects face the problems of weak versatility, low efficiency ...
Dan LIANG +4 more
doaj +1 more source
Segmented Embedded Rapid Defect Detection Method for Bearing Surface Defects
The rapid development of machine vision has prompted the continuous emergence of new detection systems and algorithms in surface defect detection. However, most of the existing methods establish their systems with few comparisons and verifications, and ...
Linjian Lei +4 more
doaj +1 more source
Automatic detection of surface defects in electronic panels is receiving increasing attention in the quality control of products. The surface defect detection of electronic panels is different from other target detection scenarios and is a meaningful and
Le Wang, Xixia Huang, Zhangjing Zheng
doaj +1 more source
Self-Supervised Railway Surface Defect Detection with Defect Removal Variational Autoencoders
In railway surface defect detection applications, supervised deep learning methods suffer from the problems of insufficient defect samples and an imbalance between positive and negative samples.
Yongzhi Min, Yaxing Li
doaj +1 more source
FS-RSDD: Few-Shot Rail Surface Defect Detection with Prototype Learning
As an important component of the railway system, the surface damage that occurs on the rails due to daily operations can pose significant safety hazards.
Yongzhi Min +3 more
doaj +1 more source

