
In construction and engineering projects, the as-built documentation phase is often underestimated — yet it directly affects project handover, ongoing maintenance, and long-term record keeping.
Traditional as-built documentation relies on photographs, hand-drawn sketches, and paper checklists. These records are scattered, difficult to verify, and degrade over time. When a project manager needs to confirm the routing of a pipe run, the placement of installed equipment, or the finished position of a wall months after handover — the answer usually involves digging through folders of site photos, or sending someone back to the site.
SHARE3DCAM handheld SLAM LiDAR scanners offer a different approach: at key completion milestones, scan the entire space to produce a viewable, measurable, permanently archivable 3D point cloud. This isn't just "taking a few more photos" — it's capturing the real as-built condition of the site as a complete digital record.
This article covers the full workflow from on-site scanning to point cloud delivery, and how point cloud data is applied in real as-built documentation scenarios.
Four Core As-Built Capture Scenarios
1. Concealed Works Documentation
Before ceilings are closed, walls are covered, or floors are laid, scan the MEP systems, embedded components, and structural connections. Later, when maintenance, renovation, or verification is needed, the relevant point cloud data can be retrieved directly — without opening up finished surfaces.
Key value: Turn what is "invisible" into a long-term accessible digital record.

2. Construction Milestone Recording
At key milestones — structural completion, MEP rough-in, interior fit-out commencement — perform a staged scan of the site. These timestamped point clouds serve as construction progress evidence and reference data for downstream trade coordination and interface confirmation.
Key value: Build a traceable spatial evidence chain across the entire construction timeline.
3. Project Handover and Acceptance
Before full project handover, scan all or selected critical areas. The point cloud serves as supporting documentation for completion acceptance — owners, supervisors, and design teams can review actual finished conditions, verify critical dimensions, and compare design drawings against the completed site.
Key value: Reduce disputes over discrepancies between drawings and site conditions. Provide a mutually referenceable set of site data.
4. Existing-Conditions Capture Before Renovation
Before a renovation project begins, scan the existing building conditions. This is especially critical for older buildings, industrial facilities, or projects where original drawings are missing or unreliable. The point cloud provides a measurable, real-world spatial baseline for renovation design.
Key value: Before anything is demolished or altered, capture exactly what exists.


The As-Built Capture Workflow: Four Steps From Site to Archive
Step 1: On-Site Scanning
Walk the target area with a SHARE SLAM S20 SE, S20, or S100 series handheld scanner. No tripods, no targets — single-operator deployment. For large outdoor sites requiring geo-referenced coordinates, the S20 and S100 series include integrated RTK for absolute positioning.

Scanning best practices:
- Maintain a steady walking pace (0.5–1.0 m/s). Avoid frequent stops or rapid movement.
- Create loop closures wherever possible — returning to the starting point or crossing previously scanned areas helps the SLAM algorithm correct accumulated drift.
- For MEP-dense zones, behind equipment, above ceilings — slow down and cover from multiple angles.
- Review the scan preview before leaving. If critical areas show gaps or drift, rescan while still on site.
Choosing the right scanner for the project scale:
For most indoor as-built jobs — apartments, offices, commercial floors up to several thousand square meters — the lightweight S20 SE or S20 provides sufficient range and point density. If the project involves large industrial facilities, outdoor structures, building facades, multi-building campuses, or any site where target distances regularly exceed 40 meters, the S100 series is the better fit. Its longer range (up to 120 m on standard models, 300 m on the S100-32PRO), higher point rate (320,000–640,000 pts/s vs 200,000 on the S20 series), and dual-battery hot-swapping support make continuous large-area capture practical without interruption. All S100 models include integrated RTK for geo-referenced coordinate output — essential when as-built data needs to align with project coordinate systems across large sites.
Need help selecting the right scanner for your as-built projects? Compare the SHARE SLAM S20 SE, S20, and S100 series to find the best fit for your site scale and deliverable requirements.
Step 2: Data Processing and Point Cloud Cleanup
Import the scan data into SHARE PointClouds Studio for processing. After processing completes, perform basic cleanup:

- Crop: Remove irrelevant areas and noise
- Level: Align the point cloud's main axes with the coordinate system
- Segment: For large projects, split by floor or functional zone and save separately
Learn more about SHARE PointClouds Studio — the processing, measurement, and export hub for all SHARE3DCAM scan data.
Step 3: On-Cloud Verification and Annotation
The core value of a point cloud is that it is measurable. In SHARE PointClouds Studio, verify critical dimensions:
- Pipe spacing and routing
- Equipment installation position deviations
- Door and window opening dimensions
- Ceiling height and beam soffit elevations
- Wall surface flatness references
Important note: Point cloud measurements serve as reference data. For dimensions with strict acceptance tolerances — such as structural deviation limits — cross-verify with traditional measurement methods. The point cloud's value is providing an on-demand spatial reference — not replacing measurement standards.

Step 4: Export and Archive
The cleaned point cloud can be:
- Exported in standard formats (.las / .e57 / .ply / .pcd) for continued use in third-party software (CloudCompare, AutoCAD, Revit, etc.)
- Shared as a panoramic viewing link, allowing project members without specialist software to view the site data online
- Archived as a standalone digital record, with project metadata embedded for long-term storage
If CAD drawings are needed from the as-built point cloud, the data can feed directly into the Scan to CAD workflow — generating floor plans, sections, or RCS references for AutoCAD, Revit, or other BIM software. See our Scan to CAD Complete Workflow guide for the full pipeline.
How As-Built Point Clouds Are Used Downstream
Design and Renovation
In renovation projects, the as-built point cloud provides the real-world spatial baseline for design. Designers can review existing dimensions, pipe routing, and structural relationships directly in the point cloud — working from real data rather than outdated or incomplete original drawings.

Construction Quality Verification
Supervision and project management teams can spot-check critical areas in the point cloud — confirming that MEP installation matches drawings, equipment is positioned correctly, and spatial dimensions meet design requirements. When issues are found, the point cloud provides traceable site evidence.
Facility Management and Asset Handover
As-built point clouds can be transferred to facility operators as part of the digital asset package. When equipment maintenance, spatial reconfiguration, or service access is needed, the operations team can reference the point cloud to locate concealed services — reducing blind cutting and repeated site investigations.
Multi-Phase Data Comparison
For phased developments or long-term operational projects, point clouds from different time periods can be overlaid and compared — showing construction progress, structural changes, or equipment relocations. This capability is particularly valuable in industrial plants, commercial complexes, and infrastructure projects.
Which Projects Benefit Most From As-Built Capture?
| Project Type | Primary As-Built Point Cloud Use |
|---|---|
| Commercial complexes, office buildings | Concealed works records, property handover, future renovation reference |
| Industrial plants, clean rooms | Pipe and service records, equipment positioning, compliance auditing |
| Hospitals, laboratories | MEP documentation, infection control area records |
| Hotels, high-end residential | Finished surface records, post-handover maintenance reference |
| Existing building renovation | Pre-renovation scanning, design baseline, demolition scope confirmation |
| Infrastructure (tunnels, utility corridors) | Structural records, operational archives, deformation monitoring reference |
Not sure how to fit as-built scanning into your current workflow? Contact our team for a project-specific recommendation — no obligation, just practical guidance based on your site type and documentation requirements.
As-Built Documentation: Traditional vs. Digital
| Aspect | Traditional Method | SHARE3DCAM Digital Capture |
|---|---|---|
| Data captured | Selected photos + hand measurements | Complete 3D point cloud of the entire space |
| Review after site visit | Limited to photos taken on the day | Any dimension, any angle, measurable from your desk |
| Sharing with team | Email photos, describe locations verbally | Panoramic link — view the full site online |
| Long-term archive | Photos degrade, notebooks get lost | Point cloud + metadata, searchable, permanent |
| Future use for renovation | Hope someone kept the photos | Open the file, measure what you need |
Evaluating the Investment: Why As-Built Capture Pays for Itself
Whether digital as-built capture makes financial sense depends on your project profile. Here is a framework for evaluating it against your current workflow, based on what teams commonly experience.
End-to-end efficiency: from site measurement to office drafting
For a typical commercial floor or residential unit, an experienced surveyor using tape and laser measures may be able to complete the on-site measurement work efficiently. The larger efficiency gap often appears after the site visit: organizing handwritten dimensions, photos, sketches, and memory-based spatial references into a coherent CAD drawing or project record.
The advantage of handheld SLAM scanning is not only faster site capture. A single operator can usually complete a full point cloud scan of the same space in 15–30 minutes, and the office team can then review, measure, annotate, and reference a complete 3D spatial dataset. Compared with partial manual measurements, the point cloud workflow makes it easier to verify spatial relationships, identify missing information, reduce repeated clarification, and preserve a traceable as-built record. For multi-room, multi-floor, or documentation-heavy projects, the end-to-end efficiency gain becomes much more meaningful.
The hidden cost of incomplete documentation
Most teams do not track the cost of return site visits, but they happen regularly: a missed pipe location, an unrecorded ceiling height, a dispute over whether a wall was installed in the correct position. Each return visit costs time, coordination, and often a delayed downstream schedule. A point cloud does not eliminate these situations entirely, but it substantially reduces the scenarios where missing information is the root cause.
Long-term value beyond the current project
An archived as-built point cloud continues to provide value long after the project team has moved on. When the facility owner needs maintenance access three years later, or a renovation designer needs existing-condition dimensions, the data is retrievable. In traditional workflows, this information is typically lost.
What to consider when evaluating
The decision comes down to project frequency and documentation requirements. For teams doing occasional small-space renovations, a laser distance meter may suffice. For teams handling multiple commercial, industrial, or multi-residential projects per year—or any project where as-built records carry contractual or compliance weight—the economics shift substantially in favor of digital capture.
What Support Comes With SHARE3DCAM
Software included: SHARE PointClouds Studio is provided with every scanner at no additional license cost. It handles data processing, point cloud viewing, measurement, annotation, and export—the full pipeline described in this article.
Technical support: Every SHARE3DCAM user has access to the official Discord community, where the SHARE3DCAM Bot—an AI assistant with a product knowledge base—provides real-time technical answers. The community channels are also where users share workflows, ask questions, and exchange project experience.
Getting started: SHARE3DCAM scanners are designed for single-operator deployment with minimal setup. Most users complete their first successful scan and data export within a day of unboxing, using the included quick-start guide and in-software prompts.
Frequently Asked Questions
Q: How is as-built scanning different from renovation measurement scanning?
Renovation measurement scanning focuses on spatial data capture before design begins — the primary outputs are point clouds and CAD drawings serving the design phase. As-built scanning focuses on documenting the site condition after construction — the primary output is an archived point cloud serving handover, operations, and future renovation. The capture methods and data processing workflows are similar, but the application goals and deliverable formats differ.
Q: Can point cloud data serve as official completion acceptance documentation?
Point clouds can serve as supplementary reference, but they do not replace statutory acceptance measurement procedures. For structural deviations, verticality, flatness, and other code-governed indicators, verification should follow project acceptance standards using total stations, leveling instruments, and other conventional measurement equipment. The point cloud's strength is providing comprehensive spatial reference and traceable site records.
Q: How do you handle as-built scanning for large-scale projects?
Scan by zone and by floor. Keep individual scan sessions under 30 minutes. Name and archive scan files by floor and functional area. For very large projects — such as major commercial complexes — scanning can be completed over multiple sessions and days, with all data managed centrally in the software.
Q: How large are point cloud files? How should they be stored and shared?
A typical residential unit scan produces point cloud files of approximately 500 MB–2 GB. Store locally on hard drives or NAS, with off-site backups for critical projects. For sharing scenarios, generate panoramic viewing links through SHARE PointClouds Studio — team members can view the site data online without installing any software.
Summary
As-built capture isn't about "one more scan." Its value lies in this: turning the site condition at the moment of completion into a viewable, measurable, permanently traceable digital record. That record can be retrieved, verified, and used — for handover, for maintenance, for renovation — at any point in the future.
Scanning is not the end of the work. It is where site data begins to generate ongoing value.
If your project has as-built documentation or digital archiving requirements, our team can help you match the right device and workflow to your project type, site scale, and deliverable expectations.

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