Introduction

Point clouds are incredibly powerful — but only when transformed into usable deliverables. Understanding the workflow from raw scan data to CAD output helps teams set realistic expectations and achieve better results.

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Step 1: Data Acquisition

High-resolution scans capture the physical environment with precision.

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Step 2: Registration and Alignment

Multiple scans are aligned into a single, unified dataset.

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Step 3: Data Cleaning and Classification

Noise and irrelevant data are removed to improve clarity.

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Step 4: Geometry Extraction

Key features such as walls, floors, and structural elements are modeled.

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Step 5: Final CAD Delivery

The result is a clean, accurate CAD or BIM file ready for design and documentation.

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Conclusion

A structured workflow ensures that point cloud data becomes a reliable foundation for design and construction. When handled correctly, it significantly improves accuracy and efficiency.