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Accelerating Civil Plan Approvals with AI-Based Drawing Interpretation

We solved one of the most time-consuming challenges faced by government planning authorities, manually reviewing and approving thousands of civil and architectural site plans using AI and computer vision. The system analyses complex drawings, extracts essential details, and automates approval checks, accelerating infrastructure development with accuracy and consistency.

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Summary :

We have built an AI-driven system that automates the interpretation of civil situation plans by detecting plot boundaries, symbols, and annotations directly from architectural drawings. Using computer vision and OCR, it calculates plot areas, validates plan details, and generates structured digital outputs for faster approvals.
By eliminating manual bottlenecks, the system enables scalable, high-precision workflows for urban planning and development authorities.

Problem

Problem

Objectives

  • Automate Plan Interpretation

    Use AI to detect plots, boundaries, and symbols directly from civil drawings.

  • Enhance Approval Speed

    Reduce manual review time and accelerate the approval process.

  • Improve Accuracy

    Maintain consistent precision in boundary detection and area calculation.

  • Scale Across Departments

    Deploy a flexible solution that adapts to diverse drawing formats.

  • Standardize Workflows

    Ensure transparent, repeatable, and data-driven approval decisions.

Challenges

  • Differentiating curved or irrelevant lines from actual plot boundaries.
  • Extracting text, symbols, and legends accurately across varying layouts.
  • Maintaining high precision in measurements across multiple file formats.
  • Designing a scalable solution that can process thousands of large, complex drawings efficiently.

Solution

  • Built an AI-based drawing interpretation system that automates plot and legend detection.
  • Trained computer vision models to identify plot boundaries and segment regions for analysis.
  • Used OCR to read textual details such as plot IDs, dimensions, and labels from civil plans.
  • Implemented automated algorithms to calculate accurate plot areas and validate layout compliance.
  • Developed a scalable review pipeline to handle high-volume drawings across multiple planning departments.
  • Delivered a system that standardizes civil plan approvals and improves operational transparency.

Architecture

Input Processing
Import scanned or digital plan drawings (PDFs or images).
Detection
Identify plots, legends, and key symbols using AI-based computer vision.
Text Extraction
Use OCR to read textual details such as plot IDs, dimensions, and labels from civil plans.
Computation
Calculate plot areas and validate boundaries automatically.
Output
Provide automated plan validation results with calculated areas and extracted annotations.

Results & Impact

Automated plan interpretation reduced manual workload for authorities

Accelerated approval timelines, enabling faster infrastructure development

Improved accuracy in boundary detection and area calculations

Enabled large-scale adoption across regional planning departments

Standardized digital reports, improving transparency and compliance

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