A Digital Twin for Optical Tracking Systems Design

Abstract

This paper details the development of a digital twin for off-the-shelf optical tracking systems using CoppeliaSim, a robotics simulation platform, and Python scripting. The proposed simulation enables users to configure various parameters, such as camera position, lighting conditions, noise levels, and lens distortion, to mimic optical motion tracking in a controlled and customizable environment. By generating synthetic datasets, the tool offers a flexible approach to testing and refining motion capture setups prior to the physical installation of the system. The results highlight the effectiveness of virtual environments in reducing both the complexity and cost associated with the design phase of traditional motion capture systems.