This paper details the comprehensive development and rigorous validation of a functional digital twin for a conventional airport security X-ray baggage screening system. The primary objective was to create a physically accurate software simulation capable of generating high-fidelity synthetic X-ray images to address the scarcity of large-scale, annotated datasets in the aviation security domain. The modeling pipeline began with the meticulous creation of core, reusable three-dimensional assets. Using Blender 3D, a diverse library of baggage items, common contents, and prohibited threat objects was designed with precise geometric and material properties. These models were subsequently imported into the Unity 3D real-time development platform, which acted as the central rendering engine for scene composition and image synthesis. The cornerstone of the system's realism is a custom-built, physics-based rendering shader, programmed directly in High-Level Shading Language (HLSL). This shader implements a simplified yet effective model of X-ray transmission, simulating the differential absorption characteristics of various materials. To validate the visual fidelity and practical utility of the digital twin, its output was subjected to a qualitative comparative analysis against ground-truth images captured from a physical Krystal Vision X-Ray Baggage Scanner. The results indicate a significant degree of visual congruence between the synthetic and real X-ray images, confirming that the proposed methodology can produce perceptually convincing simulations. The successful implementation of this digital twin demonstrates a viable pathway for the on-demand generation of limitless, perfectly annotated training data. This tool holds substantial promise for two critical applications: first, for the cost-effective and scalable training of security screening personnel via realistic virtual simulators, and second, for accelerating the development and robustness testing of automated threat detection algorithms based on deep learning, all while circumventing the significant logistical, financial, and security constraints associated with continuous access to operational screening equipment.
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