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Airport Security Training & Emergency Response Simulator — Universe Invedors
XRProduction

Airport Security Training & Emergency Response Simulator

AI-Powered VR Platform for Aviation Security Personnel

Year

2024

Category

XR

Duration

8 months

Overview

Airport Security Training & Emergency Response Simulator is an immersive VR/3D platform training airport security officers across passenger screening, baggage inspection, threat identification, emergency response, radio communication, and coordinated incident management. Instead of fixed NPCs, passengers are generated dynamically by an AI engine — each with a name, age, destination, travel history, personality, stress level and scenario-specific objective. Officers interact through real-time voice (TTS/STT), and the AI changes passenger behaviour based on trainee decisions. After every scenario, an AI instructor generates a detailed After Action Review with per-skill scores, mistake analysis and improvement feedback. The difficulty adapts to trainee performance in real time.

Gallery

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Project Photos

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Challenge

Airport security training is expensive, logistically difficult to scale, and exposes trainers to liability when simulating live threatening scenarios. Fixed NPC systems allow trainees to memorise patterns rather than develop real decision-making skills.

Solution

A complete XR training programme with a GPT-powered AI Passenger Engine, dynamic scenario generation across 5 difficulty levels, real-time STT/TTS voice interaction, Meta Quest hand tracking for physical interaction, and a multiplayer mode for team-based incident coordination across 4 concurrent officer roles.

Features

✓13 training modules: passenger screening, baggage X-ray, threat detection, weapons response, suspicious devices, aircraft emergency, fire & evacuation, crowd management
✓AI Passenger Engine — dynamically generated NPCs with personality, stress level, language, travel history and scenario objectives
✓Real-time voice interaction — officers talk to AI passengers via STT; passengers respond via GPT + TTS
✓After Action Review — per-skill scoring for identification accuracy, communication, procedure compliance, escalation timing and team coordination
✓Adaptive difficulty — scenario complexity changes based on trainee performance in real time
✓Multiplayer training — 4 concurrent officer roles (check-in, baggage, patrol, incident commander) coordinating via simulated VHF radio
✓Instructor dashboard — scenario configuration, live monitoring, performance comparison across sessions, certification tracking

Outcome

Reduced training cycle time by 60%, eliminated physical training infrastructure costs, enabled consistent cross-site assessment, and introduced AI-powered adaptive difficulty — turning the simulator into a continuous learning platform rather than a one-time exercise.

Technology Stack

UnityMeta QuestOpenXRXR Interaction ToolkitGPT-4Speech-to-TextText-to-SpeechPhoton MultiplayerC#

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