All insightsReality capture + AI

Doxel: reality capture and computer vision for progress tracking

Documenting a site and measuring its progress are different tasks. Doxel offers a reference for the transition from visual documentation to structured comparison of plans and execution.

Doxel: reality capture and computer vision for progress tracking

Doxel's product presentation describes a workflow combining BIM, 360-degree video and computer vision to track installed work by trade and stage. This is an external reference, not a verified Panpo capability.

Case reference: Doxel — apresentação do produto ↗

Capture consistently

Comparisons depend on consistent coverage. Obstructions, changed routes and concealed elements must be considered. An object missing from a capture is not necessarily missing from the site.

Connect observations to work packages

To support planning, a record must relate to the correct location and activity. That connection provides a verifiable basis for discussing progress instead of relying only on reports.

Separate assistance from approval

Automated classifications and estimates need acceptance criteria and review. Detecting a component in an image is not sufficient to confirm its completion or quality.

Evaluate value in the project's context

Assessment should consider review time, coverage and usefulness in meetings. Results from other projects should not be transferred automatically to a new site.

The Panpo perspective

From reference to application

The lesson for Geminarium is to organize captures, history and review in one context. Automation should be introduced according to data quality and each application's validated scope.

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