YOLO-v1 to YOLO-v8, the rise of YOLO and its complementary nature toward digital manufacturing and industrial defect detection

M Hussain - Machines, 2023 - mdpi.com
Since its inception in 2015, the YOLO (You Only Look Once) variant of object detectors has
rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are …

Deep learning methods for object detection in smart manufacturing: A survey

HM Ahmad, A Rahimi - Journal of Manufacturing Systems, 2022 - Elsevier
Object detection for industrial applications refers to analyzing the captured images and
videos and finding the relationship between the detected objects for better optimization, data …

SOD‐YOLO: a small target defect detection algorithm for wind turbine blades based on improved YOLOv5

R Zhang, C Wen - Advanced Theory and Simulations, 2022 - Wiley Online Library
Early and effective detection of wind turbine blade (WTB) surface defects can avoid complex
and expensive repair problems and serious safety hazards. The traditional target detection …

Hybrid mutation moth flame optimization with deep learning-based smart fabric defect detection

N Alruwais, E Alabdulkreem, K Mahmood… - Computers and …, 2023 - Elsevier
The occurrence of faults in textile manufacturing methods results in major wastage of the
properties. Additionally, it also affects the quality of the fabric products. Manual inspection …

An efficient and intelligent detection method for fabric defects based on improved YOLOv5

G Lin, K Liu, X Xia, R Yan - Sensors, 2022 - mdpi.com
Limited by computing resources of embedded devices, there are problems in the field of
fabric defect detection, including small defect size, extremely unbalanced aspect ratio of …

An industrial interference-resistant gear defect detection method through improved YOLOv5 network using attention mechanism and feature fusion

S Zhang, M He, Z Zhong, D Zhu - Measurement, 2023 - Elsevier
Automatically detecting the metallic gear defects may encounter the misdetected and
undetected errors when the defect features are very close to the interferences of oil stains …

An efficient scheme for the detection of defective parts in fabric images using image processing

T Mahmood, R Ashraf, CMN Faisal - The Journal of The Textile …, 2023 - Taylor & Francis
Textile industries play a major role in the growth of the economy of developing and
developed countries. The faulty parts in the fabric are the main problem for the textile …

A welding defect detection method based on multiscale feature enhancement and aggregation

L Shi, S Zhao, W Niu - Nondestructive Testing and Evaluation, 2023 - Taylor & Francis
Welding defects can pose significant safety risks in the industrial production. Accurate
detection of these defects is crucial for ensuring the industrial production safety. Traditional …

Color-patterned fabric defect detection based on the improved YOLOv5s model

Y Wang, Y Xu, Z Yu, G Xie - Textile Research Journal, 2023 - journals.sagepub.com
The complex background pattern of color-patterned fabrics, the small target of some defects,
the difficulty separating them from the background, and the extreme aspect ratio present …

Context receptive field and adaptive feature fusion for fabric defect detection

L Di, S Deng, J Liang, H Liu - Soft Computing, 2023 - Springer
Textile defect detection is a key link in measuring textile quality. An accurate and efficient
textile detection method is essential for textile production processes. In the textile production …