Trollhättan: Transforming Urban Design with AI Visualization

Enhancing Municipal Projects Through AI-Powered Imagery

Overview

Trollhättan Municipality uses Intric's AI image generation to streamline the design and planning process for public spaces. This innovative approach supports efficient and accurate visualization, significantly improving communication and execution of urban development projects.

Challenge

Urban planning traditionally involves extensive manual efforts and often faces several challenges:

  • Resource-Intensive Visits: Officials often traveled to the site, manually photographed it, and then used design tools to translate concepts into drawings.
  • Inaccurate Renderings: Manually produced drawings often lacked in precision, leading to misunderstandings during construction partners.

Solution

Trollhättan harnessed Intric’s AI tools to simplify design visualization:

  • General Design Visualization: By utilizing AI, the municipality can quickly generate visualizations for various urban design projects, ensuring they align with local regulations and aesthetic preferences.
  • Reduced Manual Labor: An official used Google Street View to capture an accurate street image of the site, then quickly produced a detailed visual representation using Intric’s AI image generation tool.
  • Policy-Adherent Designs: By describing their design preferences aligned with municipal guidelines, the AI generated a compliant design within a few minutes, which was promptly shared with the construction company.

Result

  • Rapid Design Creation: Instant image generation enables quick visualization of urban areas, fostering better communication with stakeholders.
  • Increased Accuracy: High-quality designs reduce errors and revisions, enhancing project execution.
  • Resource Efficiency: Reducing the need for field visits and manual drafting saves significant time and effort, allowing the planning department to focus on strategic urban initiatives.
    • 98% time saved
    3 400 hours saved/year
    €91 000 saved/year

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