Steel surface defect recognition is an important part of industrial product surface defect
detection, which has attracted more and more attention in recent years. In the development …

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 …

Manual surface inspection methods performed by quality inspectors do not satisfy the
continuously increasing quality standards of industrial manufacturing processes. Machine …

In this paper, we propose a new face de-identification method based on generative
adversarial network (GAN) to protect visual facial privacy, which is an end-to-end method …

With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …

The quality of a printed circuit board (PCB) is paramount towards ensuring proper
functionality of electronic products. To achieve the required quality standards, substantial …

Ensemble multifeatured deep learning methodology has emerged as a powerful approach
to overcome the limitations of single deep learning models in terms of generalization …

Managing the quality of products is one of the primary concerns in manufacturing production
to obtain better operational efficiency in factories. In recent years, there have been …

Surface defect inspection, detection, and classification in hollow cylindrical surfaces such as
pipes and barrels have a significant impact on the structural integrity of various industrial …

Real-time object detection is currently used to automate various tasks in industrial
environments. One of the most important tasks is to improve the safety of workers by …