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Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review
Algorithms, 2023 Over the last few decades, detecting surface defects has attracted significant attention as a challenging task. There are specific classes of problems that can be solved using traditional image processing techniques.
Alireza Saberironaghi +2 more
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A Survey of Defect Detection Applications Based on Generative Adversarial Networks
IEEE Access, 2022 With the development of science and technology and the progress of the times, automation and intelligence have been popularized in manufacturing in all walks of life. With the progress of productivity, product defect detection has become an indispensable
Xiangjie He +5 more
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Deep Metallic Surface Defect Detection: The New Benchmark and Detection Network
Sensors, 2020 Metallic surface defect detection is an essential and necessary process to control the qualities of industrial products. However, due to the limited data scale and defect categories, existing defect datasets are generally unavailable for the deployment ...
Xiaoming Lv +4 more
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A Study on Defect Detection Model of Bone Plates Using Multiple Filter CNN of Parallel Structure [PDF]
한국정밀공학회지, 2023 Bone plates are a medical device used for fixing broken bones, which should not have a crack and hole defect. Defect detection is very important because bone plate defect is very dangerous.
Song Yeon Lee, Yong Jeong Huh
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Analysis of Training Deep Learning Models for PCB Defect Detection
Sensors, 2023 Recently, many companies have introduced automated defect detection methods for defect-free PCB manufacturing. In particular, deep learning-based image understanding methods are very widely used.
Joon-Hyung Park +3 more
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DG-GAN: A High Quality Defect Image Generation Method for Defect Detection
Sensors, 2023 The surface defect detection of industrial products has become a crucial link in industrial manufacturing. It has a series of chain effects on the control of product quality, the safety of the subsequent use of products, the reputation of products, and ...
Xiangjie He +4 more
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A Cascaded Defect Detection Algorithm for Track Components
Kongzhi Yu Xinxi Jishu, 2022 Track component defect detection has long faced the problem of scarcity of defect samples. In the case of insufficient defect samples, the existing deep learning methods are prone to overfitting the model, and the generalization performance is poor ...
LIN Jun +5 more
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TSDNet: A New Multiscale Texture Surface Defect Detection Model
Applied Sciences, 2023 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
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IEEE Access, 2021 Defect detection in the manufacturing industry is of utmost importance for product quality inspection. Recently, optical defect detection has been investigated as anomaly detection using different deep learning methods.
Ammar Mansoor Kamoona +3 more
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A Novel Defect Detection Method for Overhead Ground Wire
Sensors, 2023 Overhead ground wires typically have strong axial tension and are prone to structural defects caused by corrosion and lightning strikes, which could lead to serious safety hazards.
Yao Xiao +3 more
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