Reality Capture AI
AI processing of 3D scans and imagery to create accurate as-built documentation.
Definition
Reality Capture AI uses artificial intelligence to process laser scans, photogrammetry, and other 3D capture methods into accurate as-built documentation. AI accelerates the conversion of point clouds into BIM models, automatically identifies building elements, and compares captured reality to design intent. This enables rapid documentation of existing conditions, deviation analysis, and quality verification throughout construction.
In Depth
Reality capture — using laser scanning, photogrammetry, and drone imaging to create 3D representations of existing conditions — produces massive datasets that AI transforms into usable building information. The combination of capture technology with AI processing makes existing condition documentation faster and more comprehensive than manual surveying.
The processing pipeline starts with data registration (aligning multiple scans or photo sets into a single coordinate system), continues through noise removal and gap identification, and concludes with object recognition and BIM modeling. AI handles each step, producing a deliverable that ranges from a classified point cloud to a fully modeled BIM representation of the existing conditions.
Examples
Automatically converting laser scans of existing buildings into BIM models
Comparing as-built conditions to design models to identify deviations
Creating accurate floor plans from 360-degree site photography
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Compatible Platforms
Nomic integrates with these platforms so you can use reality capture ai across your existing project data:
Frequently Asked Questions
Reality Capture AI uses artificial intelligence to process laser scans, photogrammetry, and other 3D capture methods into accurate as-built documentation. AI accelerates the conversion of point clouds into BIM models, automatically identifies building elements, and compares captured reality to design intent. This enables rapid documentation of existing conditions, deviation analysis, and quality verification throughout construction.
Automatically converting laser scans of existing buildings into BIM models. Comparing as-built conditions to design models to identify deviations. Creating accurate floor plans from 360-degree site photography.
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