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

2026

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DOI 10.1117/12.3120366
Data confidence 70 medium
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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.