Surface defect detection methods for industrial products: A review

Y Chen, Y Ding, F Zhao, E Zhang, Z Wu, L Shao - Applied Sciences, 2021 - mdpi.com
The comprehensive intelligent development of the manufacturing industry puts forward new
requirements for the quality inspection of industrial products. This paper summarizes the …

Automatic dimensional defect detection for glass vials based on machine vision: A heuristic segmentation method

M Eshkevari, MJ Rezaee, M Zarinbal… - Journal of Manufacturing …, 2021 - Elsevier
The vial, a bottle known to store the drug, should be controlled to meet the requirements of
the standard dimension. Due to problems with a visual inspection, there is a need to develop …

Sparse cross-transformer network for surface defect detection

X Huang, Y Li, Y Bao, X Zhu - Scientific Reports, 2024 - nature.com
Quality control processes with automation ensure that customers receive defect-free
products that meet their needs. However, the performance of real-world surface defect …

Surface quality automatic inspection for pharmaceutical capsules using deep learning

H Dong, J Yang, J Wang, S Li - Journal of Sensors, 2022 - Wiley Online Library
Capsules are commonly used as containers for most pharmaceutical products. Thus, the
quality of a capsule is closely related to the therapeutic effect of the products and patient …

IH-ViT: Vision Transformer-based Integrated Circuit Appear-ance Defect Detection

X Wang, S Gao, Y Zou, J Guo, C Wang - arXiv preprint arXiv:2302.04521, 2023 - arxiv.org
For the problems of low recognition rate and slow recognition speed of traditional detection
methods in IC appearance defect detection, we propose an IC appearance defect detection …

Trident-LK Net: A Lightweight Trident Structure Network With Large Kernel for Muti-Scale Defect Detection

S Yang, X Wang, X Qian, Y Yu, W Jin - IEEE Access, 2023 - ieeexplore.ieee.org
Identifying defects at different scales is a challenge in industrial defect detection. To solve
this problem, many multi-scale feature fusion networks have been proposed to improve multi …

Multiclass Classification and Defect Detection of Surfaces Using Modified-YOLO

GD Raj, B Prabadevi - 2023 12th International Conference on …, 2023 - ieeexplore.ieee.org
Industrial products based on glass fiber are widely used in various industries due to their
excellent properties. Steel tubes known for its strength and durability are widely used in …

Fast Blob and Air Line Defects Detection for High Speed Glass Tube Production Lines

GA De Vitis, A Di Tecco, P Foglia, CA Prete - Journal of Imaging, 2021 - mdpi.com
During the production of pharmaceutical glass tubes, a machine-vision based inspection
system can be utilized to perform the high-quality check required by the process. The …

Self-supervised Learning for Robust Surface Defect Detection

M Aqeel, S Sharifi, M Cristani, F Setti - International Conference on Deep …, 2024 - Springer
In this study, we discuss about the use of Self-Supervised Learning to improve robustness of
Surface Defect Detection (SDD) models. We show how different state-of-the-art SDD …

Deep Learning-Based Integrated Circuit Surface Defect Detection: Addressing Information Density Imbalance for Industrial Application

X Wang, S Gao, J Guo, C Wang, L Xiong… - International Journal of …, 2024 - Springer
In this study, we aimed to address the primary challenges encountered in industrial
integrated circuit (IC) surface defect detection, particularly focusing on the imbalance in …