Detecting surface defects plays a crucial role in ensuring the quality, functionality, and
security of the production process. Traditional image processing techniques and machine …

To address the dual challenges of complex environmental interference and multiscale
targets in deep learning-based tunnel lining defect identification, a novel segmentation …

In this study, it was aimed to detect defects in plastic parts produced in a company operating
in the automotive sub-industry using the YOLOv8 object detection model. The defect types …

To improve the precision of intelligent sugarcane harvesting, and to meet the requirements
of high precision and low complexity for use with embedded devices, a lightweight model …

High-precision cylindrical parts are critical components across various industries including
aerospace, automotive, and manufacturing. Since these parts play a pivotal role in the …

Due to the complex and varied surface defects of the belt grinding, the automatic recognition
and quantitative characterization of the surface defects is still an issue that needs to be …

Surface cracks pose a hidden danger to metal pipes application. Several technical issues
exist in crack detection in metal pipes, such as overexposure, low accuracy, and low …

A lightweight wind turbine blade surface multiple class defect detection algorithm based on
You Only Look Once version 5 (YOLOv5) is proposed to address the issues of low accuracy …

Road networks are created with different pavement designs. In general, flexible pavement is
preferred as the most used superstructure type in the world. Road networks with this …