Under the background of Industry 4.0 and smart manufacturing, operators are still the core of
manufacturing production, and the standardization of their actions greatly affects production …

The present study employs deep learning methods to recognize repetitive assembly actions
and estimate their operating times. It is intended to monitor the assembly process of workers …

In the context of intelligent manufacturing and Industry 4.0, the manufacturing industry is
rapidly transitioning toward mass personalization production. Despite this trend, the …

Online real-time production process monitoring is the basis for intelligent manufacturing
refinement management. This paper proposes a contactless monitoring framework with …

The trade-off between detection speed and accuracy and the high hardware requirements of
computing equipment have always been two major factors restricting the real-time detection …

In a human-centered intelligent manufacturing system, every element is to assist the
operator in achieving the optimal operational performance. The primary task of developing …

The automated assessment and analysis of employee activity in a manufacturing enterprise,
operating in accordance with the concept of Industry 4.0, is essential for a quick and precise …

The traditional calculation methods of the pitting area ratio include artificial vision inspection
and rubbing measurement based on cutting tooth. However, these methods have the …

Based on the classroom teaching scenarios, an improved YOLO-v4 behavior detection
algorithm is proposed to recognize the behaviors of teachers and students. With the …

With the remarkable technological development in cyber-physical systems, industry 4.0 has
evolved by use of a significant concept named digital twin (DT). However, it is still difficult to …