Chain of Custody in LiDAR Scanning | Data Governance with 3DEXPERIENCE

Chain of Custody, Data Governance, and Engineering-Grade LiDAR Workflows

Why Chain of Custody Matters in Reality Capture

As LiDAR scanning technology becomes more widely used across mining, manufacturing, and infrastructure, the role of scan data is changing.

Point clouds are no longer just visual references โ€” they are increasingly relied upon for:

  • Engineering design decisions
  • Asset verification
  • Contractor coordination
  • Insurance and compliance
  • Legal and dispute resolution

In this environment, the question is no longer โ€œDo you have a scan?โ€
It is:

โ€œCan this data be trusted?โ€


The Problem with Traditional Scanning Workflows

Many scanning providers still operate with a simple delivery model:

  • Capture data
  • Process it
  • Export a file
  • Send via Dropbox or USB

At that point:

  • File versions are uncontrolled
  • Edits are not tracked
  • Data integrity cannot be verified
  • There is no audit trail

For engineering, this creates risk.
For legal or contractual matters, it can make the data unusable.


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What is Chain of Custody in LiDAR Scanning?

Chain of custody refers to the complete, traceable record of how data is handled, from capture through to final use.

For LiDAR scanning, this includes:

  • Who captured the data
  • When and where it was captured
  • Equipment used and calibration status
  • Processing steps and software workflows
  • File versions and revisions
  • Who has accessed or modified the data

A properly managed chain of custody ensures that:

  • Data is authentic
  • Data is unchanged or changes are recorded
  • Data can be defended if challenged

Introducing Data Governance Through the 3DEXPERIENCE Platform

At Hamilton By Design, LiDAR scanning is not treated as a standalone service.
It is integrated into a controlled engineering environment using the 3DEXPERIENCE platform.

This shifts the workflow from:

  • File-based delivery
    to
  • Managed digital asset lifecycle

How LiDAR and 3DEXPERIENCE Work Together

1. Controlled Data Capture

  • Engineering-led scanning methodologies
  • Defined scan plans and coverage
  • Documented site conditions and limitations

2. Structured Data Processing

  • Registered point clouds with documented workflows
  • Export formats aligned to downstream engineering use
  • Verification of alignment and accuracy

3. Centralised Data Storage

  • All scan data stored in a secure, managed environment
  • No reliance on uncontrolled file sharing
  • Single source of truth for all stakeholders

4. Revision Control and Traceability

  • Every model, drawing, and dataset is version-controlled
  • Changes are tracked and attributable
  • Previous revisions remain accessible

5. Multi-User Collaboration

  • Engineers, designers, and contractors access the same dataset
  • No duplication of files
  • Reduced risk of working on outdated information

6. Audit-Ready Data

  • Full history of data handling and modification
  • Clear documentation of methodology
  • Suitable for compliance, contractual, and legal review

Engineering Outcomes, Not Just Scan Data

The integration of LiDAR with the 3DEXPERIENCE platform enables a shift from raw data delivery to engineering-ready outputs:

  • Point clouds linked directly to CAD models
  • Scan-to-SolidWorks workflows for fabrication
  • Drawings developed within a controlled revision environment
  • Digital twins that evolve with the asset

This ensures that the data is not only accurate โ€” it is usable and maintainable over time.


Reducing Risk Across the Asset Lifecycle

By combining chain of custody principles with structured data governance, Hamilton By Design helps clients:

  • Reduce rework during construction and shutdowns
  • Improve confidence in design decisions
  • Maintain accurate as-built records
  • Support compliance and audit requirements
  • Provide defensible data where disputes arise

The Future of Reality Capture

As industries move toward digital twins and data-driven decision-making, unmanaged scan files will become increasingly inadequate.

The future is:

  • Controlled
  • Traceable
  • Collaborative
  • Defensible

Summary

LiDAR scanning provides the data.
Chain of custody ensures it can be trusted.
Data governance ensures it remains valuable.

Hamilton By Design delivers all three โ€” combining engineering-led reality capture with structured digital environments to support the full asset lifecycle.

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EinScan vs LiDAR Terrestrial Laser Scanners โ€“ Choosing the Right Tool for Reality Capture

Comparison illustration showing EinScan structured-light scanner on left and FARO LiDAR terrestrial laser scanner on right.

EinScan vs LiDAR Terrestrial Laser Scanners โ€“ Choosing the Right Tool for Reality Capture


The rapid growth of 3D scanning has given engineers, fabricators and designers access to tools that were once limited to large survey companies. Today you can buy a compact EinScan structured-light scanner for a few thousand dollars or hire a FARO or Leica terrestrial LiDAR scanner capable of mapping an entire processing plant in an afternoon. Both are called โ€œ3D scanners,โ€ yet they serve very different purposes. Understanding the difference between EinScan-style scanners and terrestrial LiDAR systems is essential before investing time or money into reality capture.

Two Technologies, Two Different Jobs

EinScan scanners, produced by SHINING 3D, are primarily structured-light or short-range laser scanners. They project patterns of light onto an object and use cameras to interpret how that light deforms across the surface. The result is a dense mesh model of the objectโ€”typically exported as STL, OBJ or PLY files. EinScan units are designed for objects you can walk around, such as mechanical parts, castings, plastic housings and small assemblies.

Terrestrial LiDAR scanners such as the FARO Focus, Leica RTC360 or Trimble X-series operate on a completely different principle. These instruments sit on a tripod and fire millions of laser pulses across a 360-degree field, measuring the time it takes for each pulse to return. The output is a georeferenced point cloud containing precise XYZ coordinates for everything the laser can seeโ€”buildings, structures, conveyors, tanks, pipework and terrain.

Calling both devices โ€œ3D scannersโ€ is like calling a vernier caliper and a total station the same tool. They both measure, but at entirely different scales.


Visual comparison of EinScan object scanner and LiDAR terrestrial laser scanner in matching sketch style.

Scale and Range

The first and most obvious difference is working range.
An EinScan handheld unit is comfortable scanning parts from a few centimetres up to perhaps three or four metres. It is ideal for a gearbox housing on a bench or the plastic bumper of a vehicle. Once the object grows larger than a small room, the scanner begins to lose tracking and accuracy.

A terrestrial LiDAR scanner is built for the opposite end of the spectrum. A FARO Focus S-series can capture data from 0.6 metres out to 70 metres or more, mapping entire buildings or industrial sites from a single setup. Multiple scans are then registered together to create a complete digital twin of a facility.

For workshops and machine shops the question becomes simple:
Are you scanning an object, or are you scanning a place?
Objects suit EinScan; places suit LiDAR.

Accuracy and Tolerance Expectations

Manufacturers often quote impressive numbers, but real-world accuracy must be considered.

  • EinScan desktop and handheld systems typically achieve 0.05โ€“0.2 mm accuracy on small parts when conditions are ideal.
  • Terrestrial LiDAR scanners deliver around ยฑ1 mm to ยฑ3 mm accuracy over distance.

At first glance EinScan appears โ€œmore accurate,โ€ but this is only true at short range. A LiDAR scanner maintains consistent accuracy across tens of metres, something structured-light devices simply cannot do.

For precision mechanical componentsโ€”bearing fits, machined bores, threaded holesโ€”neither technology replaces traditional metrology tools. Scanning excels at capturing shape and context, while micrometers and CMMs remain the authority for tolerance verification.

Type of Data Produced

EinScan produces mesh files made from millions of tiny triangles. These are excellent for visualisation and 3D printing but contain no intelligence about holes, planes or cylinders. CAD systems like SolidWorks or Fusion 360 cannot directly convert these meshes into editable parametric models without additional reverse-engineering work.

LiDAR scanners generate point cloudsโ€”individual points with coordinates and often colour values. Point clouds are perfect for surveying, clash detection, volume calculations and as-built documentation. They are not intended to be edited like CAD models; instead, engineers build new geometry over the top using the cloud as reference.

Understanding this distinction avoids disappointment. Neither scanner delivers a โ€œone-click CAD model.โ€ Human engineering judgement is always required.

Surface and Environmental Limitations

EinScan technology relies on optical cameras and projected light, which introduces several practical limitations:

  • Shiny or black surfaces are difficult to capture
  • Transparent plastics confuse the cameras
  • Deep holes and narrow slots are often missed
  • Sunlight can overpower the projected pattern
  • Tracking can be lost on large flat surfaces

LiDAR systems are more tolerant of environment. They can operate outdoors, in dusty workshops and over long distances. However, they also struggle with highly reflective materials such as polished stainless steel or glass, and they require careful setup to avoid shadows and occlusions.

Workflow Considerations

A typical EinScan workflow looks like this:

  1. Prepare the partโ€”often with scanning spray
  2. Capture multiple passes
  3. Clean and align the mesh
  4. Export STL/OBJ
  5. Rebuild geometry in CAD using the mesh as reference

This process suits reverse engineering of brackets, castings, vehicle parts and consumer products.

A LiDAR workflow is different:

  1. Set up the scanner at multiple locations
  2. Register scans together in software such as FARO Scene or Leica Cyclone
  3. Classify and clean the point cloud
  4. Use the cloud for measurements, modelling or BIM integration

This approach is ideal for as-built surveys, plant upgrades, brownfield design and digital twins.

Cost and Ownership

EinScan systems range from a few thousand to around twenty thousand dollars. They are accessible to small businesses and even serious hobbyists. Software is generally included, and the learning curve is manageable.

Terrestrial LiDAR scanners are capital equipment. Purchase prices often exceed $60,000โ€“$100,000 before software, training and maintenance. For many companies it makes more sense to engage a specialist scanning provider when required.


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Choosing the Right Tool

The decision should be driven by the problem you are solving:

Choose EinScan when you need to:

  • Create a bracket to fit an existing motor
  • Reverse engineer a plastic enclosure
  • Modify a vehicle component
  • Capture complex organic shapes
  • Produce meshes for 3D printing

Choose LiDAR when you need to:

  • Document an industrial facility
  • Design around existing plant and pipework
  • Perform clash detection for upgrades
  • Measure volumes and clearances
  • Create a site-wide digital twin

Many organisations ultimately use both. A LiDAR scan provides the big picture, while an EinScan captures detailed components within that environment.

3D LiDAR scanning and 3D modelling service button โ€” laser scanner capturing a point cloud for engineering and CAD modelling
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Integration with CAD

Engineers often ask which scanner works best with SolidWorks or Fusion 360. The honest answer is that neither integrates directly into parametric CAD without intermediate steps. EinScan meshes require reverse-engineering tools or manual modelling. LiDAR point clouds usually pass through Autodesk Recap, FARO Scene or similar before being referenced in CAD.

Scanning is a method of collecting truth, not generating finished design. The value lies in reducing site visits, avoiding clashes and giving designers confidence about existing conditions.

Final Thoughts

EinScan scanners and terrestrial LiDAR systems are not competitors; they are complementary tools on the reality-capture spectrum. One excels at objects on a bench, the other at assets spread across hectares. Selecting the wrong tool leads to frustration, while choosing correctly can transform the way projects are delivered.

For Australian fabricators and engineers, the key question is simple:
Are you capturing a part, or are you capturing a place?
Answer that, and the choice between EinScan and LiDAR becomes clear.

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