Quality Assurance for Scan-to-BIM Models
Your safeguard for reliable BIM models
We verify Scan-to-BIM models against the original point cloud to identify geometric deviations, missing elements, and inconsistencies before delivery.
Our in-house developed QA process combines automated model-to-point-cloud comparison with professional review by our BIM specialists – providing a transparent and reliable basis for model quality.
What is Scan-to-BIM Quality Assurance by Miviso?
A BIM model may look accurate at first glance while still containing deviations from the actual building geometry. Walls can be slightly offset, roof surfaces may not align with the point cloud, or individual elements may be missing.
Traditional visual reviews and spot checks can identify many issues, but they do not systematically assess the entire model.
Our digital quality assurance process compares the BIM model with the underlying point cloud and highlights potential deviations and inconsistencies. The identified areas are then reviewed by our BIM specialists and documented before the model is approved or delivered.
This provides a more systematic and transparent approach to quality control in Scan-to-BIM projects.
Who is it for?
Surveying companies, Scan-to-BIM providers, architects, planners and BIM managers
Input
Point cloud data and the corresponding BIM model
Output
Quality-checked BIM model and documented QA results
%20(1)_s.png)
Our Services
We provide independent quality assurance for Scan-to-BIM models based on the corresponding point cloud data.
The model and point cloud are prepared and aligned for comparison. Our QA process then identifies areas where the modeled geometry differs from the scanned building condition or where potential modeling issues require closer review.
The results are validated by our BIM specialists and documented in a clear QA report. Identified issues can be created and managed directly within the dashboard, allowing our team and the client to review findings, communicate changes, and refine the model in a structured workflow.
Scan-to-BIM Quality Assurance: Scope of Services
-
Comparison of BIM model geometry against point cloud data
-
Detection of geometric deviations and misaligned components
-
Identification of potentially missing or inconsistent elements
-
Review of flagged areas by experienced BIM specialists
-
Verification according to defined project requirements and tolerances
-
Documentation of findings in a structured QA report
-
Optional correction of identified modeling issues
-
Issue management and client communication directly within the QA dashboard
%20(1)_neuuu.png)
"We wanted a better way to answer a simple question before delivering a model: Does it actually match the scanned building? That was the starting point for developing our own QA process.”
Máté Feller
Team Innsbruck
AUTOMATED COMPARISON
Comparing model geometry with the scanned building condition
PROFESSIONAL REVIEW
Reviewing flagged deviations, missing elements, and inconsistencies
DATA PREPARATION
Preparing and aligning the BIM model and point cloud
ISSUE MANAGEMENT & COORDINATION
Documenting identified issues and coordinating required adjustments directly within the dashboard
MODEL REFINEMENT
Reviewing and refining the model based on the identified issues
FINAL QA & HANDOVER
Final verification and delivery of the quality-checked BIM model
Your Added Value
More confidence in your Scan-to-BIM data
Small modeling deviations are not always visible during a conventional model review. However, they can become relevant later when the BIM model is used as a basis for design, coordination, renovation, or construction planning.
By systematically comparing the BIM model with the point cloud, potential issues can be identified before handover and corrected where necessary.
-
More systematic quality control than visual spot checks alone
-
Early identification of geometric deviations
-
Fewer avoidable correction and revision loops
-
Greater reliability of BIM models as a planning basis
-
Transparent documentation of identified issues
-
Clearly defined and repeatable QA process
Practical example
A modeled wall, beam, or roof surface may appear correct in the BIM model but be slightly offset from its actual position in the point cloud. Our QA process helps identify such discrepancies before they affect subsequent planning or coordination.
%20(2).png)
Why Automated Comparison + Professional Review?
Automated comparison makes it possible to analyze BIM geometry against point cloud data more systematically and efficiently than through visual inspection alone.
However, not every detected deviation represents a modeling error. Point cloud noise, occlusions, tolerances, and project-specific modeling requirements need to be taken into account.
For this reason, our QA process combines automated detection with professional assessment by experienced BIM specialists. This allows us to distinguish relevant modeling issues from deviations that are acceptable within the defined project requirements.
Quality you can see
Our quality assurance does not end with an internal model check. The results are documented in a structured report, making identified deviations and quality issues transparent and traceable.
This gives you a clear overview of the model quality before the BIM data is used for further planning.
%20(1).png)
FAQs
Here we answer frequently asked questions about our Quality and Assurance services.
Can you check BIM models created by other companies?
Yes. If the corresponding point cloud and BIM model are available, we can perform an independent quality check based on the defined project requirements.
What does the quality check identify?
The process helps identify geometric deviations, misaligned components, potentially missing elements, and other inconsistencies between the BIM model and the point cloud.
Is the quality check fully automated?
No. Automated comparison is used to efficiently identify potential deviations. The results are subsequently reviewed by our BIM specialists to assess their relevance according to the point cloud, project requirements, and defined tolerances.
Does every deviation mean that the BIM model is incorrect?
No. Point clouds contain noise, occlusions, and measurement-related variations, and BIM models are created according to defined modeling rules and tolerances. Identified deviations therefore need to be assessed in the context of the project requirements.
Do I receive a quality report?
Yes. The findings are documented in a structured QA report, providing a transparent overview of identified issues and model quality.
Can you also correct the identified issues?
Depending on the project scope, identified modeling issues can also be corrected before final delivery.
.png)