Towards digital twins in the food industry: an augmented reality visualization approach

Abstract

The transition to Industry 4.0 requires modern solutions to optimize manufacturing, training, and maintenance. This paper presents the development of an Augmented Reality (AR) module designed to visualize a virtual model of a food industry enterprise. The primary objective is to create a three-dimensional virtual representation of food production equipment with detailed visualization using AR technology. The implementation utilizes Blender with CAD functions and explores AI-generated 3D modeling for high-fidelity asset creation, integrated into the Unity platform with marker-based recognition via Vuforia. The resulting functional prototype demonstrates the potential of AR to reduce operator errors and accelerate staff training. Ultimately, this visualization module serves as a crucial interface for comprehensive digital twin systems, which leverage predictive analytics to minimize losses and enhance process reliability in food manufacturing.

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