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A Review of Gear Defect Detection Research
Traditional manual gear defect detection methods rely heavily on manual vision, with high detection costs and poor stability. In recent years,...
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Road Defect Detection Based on Yolov5 Algorithm
In response to the time-consuming and inconvenient drawbacks of traditional manual detection methods for pavement defect detection, coupled with the...
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Deep Learning-Based Defect Detection System Combining Photometric Stereo and Object Detection
Automated defect detection is an important part of manufacturing, where deep learning-based detection methods are widely used. However, these methods...
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TD-Net:tiny defect detection network for industrial products
The detection of tiny defects in industrial products is important for improving the quality of industrial products and maintaining production safety....
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Segmentation-Detection Ensembled Network for Corrosion Defect Detection
Metal parts in substations corrode over time. The corrosion defects in the substation should be inspected to reduce potential safety risks....
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Defect Detection Based on Improved YOLOx for Ultrasonic Images
Non-destructive testing is a method of detecting defects in materials or electronic components without causing damage to the detected objects. The...
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A Survey of PCB Defect Detection Algorithms
Printed circuit boards (PCBs) are the first stage in manufacturing any electronic product. The reliability of the electronic product depends on the...
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Weld Surface Defect Detection Based on Improved YOLOv7
Welding is the most economical and effective permanent metal connection method. However, the surface defects caused by various factors, is the...
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Entropy Based Defect Detection for Patterned Fabrics
This research work focuses on identifying defects in patterned textiles, which are essential for improving fabric quality and reducing financial...
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Bushing Surface Defect Detection Method Based on Improved YOLOX
A small target defect detection approach based on multi-attention feature fusion is suggested based on YOLOX in order to address the issues of high...
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A Review of Transmission Line Defect Detection Based on Deep Learning Object Detection Techniques
With the advantages of easy-to-carry, simple operation, rapid response, and low environmental requirements, UAVs have become increasingly prevalent...
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Defect Edge Detection and Quantitative Calculation of Reconstructed Thermal Images
In Chapter 6, two methods are provided to obtain the defect localization information of stitched reconstructed thermal images. In this chapter,...
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A real-time and accurate convolutional neural network for fabric defect detection
As a practical and challenging task, deep learning-based methods have achieved effective results for fabric defect detection, however, most of them...
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A Highly Efficient and Lightweight Detection Method for Steel Surface Defect
The detection of steel surface defects is of great significance to steel production. In order to better meet the requirements of accuracy, real-time,...
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Automated Welding Defect Detection using Point-Rend ResUNet
In the field of welding inspection, radiographic non-destructive evaluation (NDE) is a widely used technique for detecting defects in welds. However,...
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Multiple Detection Model Fusion Framework for Printed Circuit Board Defect Detection
The printed circuit board (PCB) is an indispensable component of electronic products, which determines the quality of these products. With the...
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Star Generative Adversarial VGG Network-Based Sample Augmentation for Insulator Defect Detection
Deep learning-based automated detection of insulator defects in electric power systems is a critical technological challenge, pivotal for ensuring...
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A deep learning model for steel surface defect detection
Industrial defect detection is a hot topic in the field of computer vision. It is a challenging task due to complex features and many categories of...
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DLF-YOLOF: an improved YOLOF-based surface defect detection for steel plate
Surface defects can affect the quality of steel plate. Many methods based on computer vision are currently applied to surface defect detection of...
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Boundary-aware residual network for defect detection in strip steel products
Strip steel is crucial in many industrial fields as an important industrial material. Automatic detection of strip steel surface defects can...
