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Challenge: Catch the Robber

In the realm of industrial security, Nuclea Solutions is embarking on a groundbreaking project that merges advanced technology with strategic operational practices. This initiative, spearheaded by experts in intelligent agents, computer graphics, and comprehensive documentation, aims to revolutionize the way industrial sites manage and monitor vehicular movements.

The project's objective is to develop a robust, real-time monitoring system that ensures every truck entering and exiting the premises is accurately logged and accounted for. To achieve this, the project will employ intelligent agents capable of sophisticated communication and interaction, leveraging the latest advancements in computer graphics to create a dynamic simulation environment within the Unreal Engine platform.

This solution aims to overhaul the existing security infrastructure. At the heart of the solution is the integration of Unreal Engine with real-world terrain mapping, where trucks are simulated using 3D models moving along predetermined splines. In real-time, as trucks traverse these splines, the camera system, empowered with AI algorithms, scrutinizes both incoming and outgoing vehicles. The AI model, trained with extensive truck imagery, distinguishes between loaded and unloaded trucks, effectively identifying potential material theft incidents.

Components

  1. Computer Graphics:
    1. Zip with all the Unreal Engine Project
    2. Complete Working 3D models
    3. Final Scenario
  2. Scripts:
    1. Agentpy Simulation
    2. CV Model Trainer
    3. AI-Based Security Overhaul
  3. Documentation:
    1. Final Report
    2. Presentation

Team Members

Ana Luisa González del Rosal A01566927

Liliana Solórzano Pérez A01641392

Moisés Hiram Pineda Campos A01625510

Emilio Berber Maldonado A01640603

Guillermo Esquivel Ortiz A01625621

Samuel García Berenfeld A01642317

Images

Simulation UE5: Alt text

AI Model: Alt text Alt text

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