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PFTrack for Architecture & Construction

From Capture to Reconstruction: Spatial Intelligence for Architecture and Construction

Generate precise 3D reconstructions from drone footage, ground-level photography, and use the Survey Solver for LiDAR-aided camera solving. PFTrack’s node-based photogrammetry workflow automates high-volume site documentation with the scripting and pipeline tools that professional AEC teams require.

Key Capabilities for AEC Professionals

A 3D model of a cliff generated from stills cameras using PFTrack's photogrammetry technology.
Photogrammetry from drone and ground-level imagery

Produce dense point clouds and textured 3D meshes from aerial surveys and ground photography.

Survey Solver

Use photogrammetric reconstructions or LiDAR-aided camera solving via the Survey Solver.

Node-based automation

Build repeatable processing pipelines for high-volume site documentation, process hundreds of drone surveys using the same validated workflow.

Python scripting and CLI

Automate photogrammetry jobs, integrate with project management platforms, and embed PFTrack processing into existing AEC pipelines

Flexible export

USD, FBX, OBJ, PLY point clouds, and industry-standard formats for integration with BIM tools, CAD software, and 3D viewers.

Cross-platform deployment

Run on macOS, Windows, or Linux to match your existing IT infrastructure.

AEC Use Cases

Site documentation and progress monitoring

Capture regular drone surveys and process them into 3D models and point clouds. Compare reconstructions over time to monitor progress, detect deviations from plans, and document as-built conditions.

Scan-to-BIM workflows

Generate photogrammetric point clouds and meshes that serve as the basis for Building Information Models. Output integrates with Autodesk Revit, Bentley iTwin, and other BIM platforms via standard formats.

Architectural visualisation

Reconstruct existing buildings and environments in 3D for visualisation, heritage documentation, and planning submissions. Combine photogrammetry with tracked camera data for accurate perspective matching.

Digital twin creation

Build detailed 3D representations of physical assets from visual capture data. PFTrack’s scriptable pipeline enables regular updates as the physical asset changes.

Hero Cloud

Architectural digital twins from a single walk-through.

Hero Cloud generates measurable 3D scene data from existing video footage — a walk-through, a drone pass, a site survey on a phone. No dedicated photogrammetry shoot, no LiDAR scanner. Export to Postshot to train a Gaussian splat for high-fidelity visualisation, or to USD for BIM and GIS pipelines. Combine with PFTrack’s multi-image photogrammetry and LiDAR integration in Studio and Enterprise for higher-fidelity digital twins where dedicated capture was performed.

Why PFTrack for Architecture & Construction

Node-based workflow

Complex, branching processing pipelines saved, shared, and reused across projects, essential for firms processing high volumes of survey data.

Tracking and photogrammetry

For video capture projects (drone video surveys, walkthrough documentation), PFTrack produces richer spatial data than photogrammetry alone.

Scriptable automation

Python API and CLI enable integration with existing AEC project management and data processing infrastructure.

Enterprise scalability

PFBucket licence server supports multi-seat deployment across offices and field teams.

FAQ

  • PFTrack integrates drone-captured aerial imagery, ground-level photography, and terrestrial or aerial LiDAR datasets into a unified spatial intelligence platform. By combining the high-fidelity photographic textures of photogrammetry with the millimeter-accurate geometric data of laser scans, the software outputs highly precise, scaled point clouds and textured 3D meshes.

    This hybrid spatial data serves as the absolute structural foundation required for Scan-to-BIM applications, allowing architects and structural engineers to seamlessly export accurate physical environments directly into major BIM and CAD suites like Autodesk Revit and Bentley iTwin.

  • PFTrack utilizes a node-based architecture that records every camera solve, data filtering step, and mesh generation process as a reusable, branching pipeline. This configuration eliminates manual repetition by allowing architecture and construction firms to apply the exact same validated workflow across hundreds of independent drone or ground-level surveys.

    For continuous site documentation, teams can regularly process automated site captures, creating chronological 3D models to monitor project progress over time, flag structural deviations from the original design blueprints, and securely document true as-built conditions.

  • PFTrack supports a diverse matrix of industry-standard file types to ensure frictionless cross-platform data interoperability with building information modeling, CAD, and architectural visualization tools. Supported export formats include:

    • Spatial Point Clouds: PLY, USD, and traditional industry formats.

    • 3D Geometry & Textured Meshes: USD, FBX, and OBJ.

    This direct export capability ensures that captured spatial environments can be immediately ingested into downstream design, rendering, and architectural project management ecosystems without requiring tedious data conversion.

  • PFTrack constructs highly accurate digital twins of physical assets by combining multi-angle photogrammetry with advanced camera tracking. When handling video-based assets, such as drone walkthrough surveys or interior video documentation, PFTrack analyzes frame-to-frame pixel continuity to generate richer, more continuous spatial data profiles than pure, standalone photogrammetry programs.

    Furthermore, because physical assets change over time, architecture firms can leverage PFTrack’s built-in Python API and Command Line Interface (CLI) to script automated batch-processing updates, refreshing the 3D digital twin whenever new visual survey data is uploaded.

  • FTrack offers flexible cross-platform compatibility and scalable licensing tiers designed to match the varied IT infrastructures of modern AEC (Architecture, Engineering, and Construction) organizations. The software runs natively across Windows, macOS, and Linux operating systems, ensuring seamless performance regardless of a firm's specific hardware deployment.

    • PFTrack Studio: A cloud-managed floating license system designed for multi-user teams. It allows floating seat allocations to be distributed dynamically to any machine via an online account dashboard (requires a persistent internet connection).

    • PFTrack Enterprise: The facility-grade deployment tier built for secure, high-stakes infrastructure projects. It utilizes a local PFBucket license server to distribute floating seats across internal networks, fully supporting offline and air-gapped environments that must comply with strict corporate data protection standards.

PFTrack Studio offers the floating license flexibility and power needed for high-volume architectural visualisation in architecture practices.

Explore the differences between Solo, Studio, Enterprise.
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