AzKCLI: a semi-automatic tool for Compositive Lifting Index (CLI) evaluation through Azure Kinect

Abstract

In modern production systems, prioritizing the safety and well-being of human operator is crucial. Industry 5.0 responds to this need by giving significant importance to the Human Factor (HF) and ergonomics. Our work introduces a semi-automatic tool for Compositive Lifting Index (CLI) calculation for risk detection during multi-task manual lift jobs using the Azure Kinect depth cameras named AzKCLI. We conducted 20 simulations of industrial tasks in our laboratory with a risk assessment from both AzKCLI and expert ergonomic judgment. Additionally, we simulated three tasks taken from the paper that introduced CLI for comparative analysis. Findings reveal a strong agreement between assessments, proposing a novel semi-automatic tool that offers a more objective, economically efficient, and a rapid evaluation of multi-task manual lifting jobs, thus contributing to enhance workplace safety in the Industry 5.0 era.

Keywords: Ergonomics, Depht Camera, Cumulative Lifting Index

DOI: 10.54941/ahfe1005177