The problem of tiny and low-contrast surface defect detection is a nontrivial one. To solve the
problems, this article proposes an edge and multi-scale reverse attention network (EMRA …

For the current problems of low accuracy and poor reliability of defect detection for bearing
roller end surfaces in industrial production, this paper proposes a bearing roller end surface …

Bearing surface defect detection and classification methods based on machine vision have
been widely used in bearing quality inspection due to their high-speed, high-precision, and …

To address the problem of low efficiency for manual detection in the defect detection field for
metal shafts, we propose a deep learning defect detection method based on the improved …

As a reliable and high-precision three-dimensional (3D) vision method, line laser structured
light vision has been widely used in the engineering field. However, to obtain overall 3D …

To address the different forms and sizes of bearing collar surface defects, uneven
distribution of defect positions, and complex backgrounds, we propose ESD-YOLOv5, an …

Defect detection is a critical way to ensure quality for silicon-nitride-bearing rollers. To
improve detection efficiency and precision for silicon-nitride-bearing roller surface defects, in …

Considering the characteristics of complex texture backgrounds, uneven brightness, varying
defect sizes, and multiple defect types of the bearing surface images, a surface defect …

The rapid development of machine vision has prompted the continuous emergence of new
detection systems and algorithms in surface defect detection. However, most of the existing …

Bearings are essential and have been widely used in mechanical equipment. However,
surface defects on bearings can seriously affect their performance and service life, and …