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RDLK-YOLO enhanced pipeline defect detection in uneven illumination [PDF]
Scientific ReportsEffective detection and timely treatment of drainage pipeline defects are crucial for maintaining underground pipeline systems and urban environments. Traditional image processing methods often struggle under complex lighting conditions.
Hailin Wang +3 more
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TGDNet: A Multi-Scale Feature Fusion Defect Detection Method for Transparent Industrial Headlight Glass [PDF]
SensorsIn industrial production, defect detection for automotive headlight lenses is an essential yet challenging task. Transparent glass defect detection faces several difficulties, including a wide variety of defect shapes and sizes, as well as the challenge ...
Zefan Zhang, Jin Tang
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Reference-Based Defect Detection Network [PDF]
IEEE Transactions on Image Processing, 2021 The defect detection task can be regarded as a realistic scenario of object detection in the computer vision field and it is widely used in the industrial field. Directly applying vanilla object detector to defect detection task can achieve promising results, while there still exists challenging issues that have not been solved.
Zhaoyang Zeng +3 more
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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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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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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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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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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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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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