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LiDAR apartment scan with Rhino on iPhone

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Will this desk fit? Scanning with an iPhone · 1:31 · AI-written script, synthetic voices

Transcript

Ava: Will this desk fit in the room? Most people grab a tape measure. Antoine took out his iPhone and scanned the whole apartment with LiDAR.

Andrew: The whole apartment? Was that for floor plans?

Ava: Not at all. In January 2024 they used Rhino on iPhone, not for permit drawings, just to settle layout questions before buying furniture.

Andrew: So how accurate is it?

Ava: It's about relative confidence. Hallway width, closet depth, whether a 60 inch TV wall is real or wishful thinking. They checked the TV wall against a tape measure afterward, and it was within a few centimeters. Good enough for furniture.

Andrew: What went wrong on day one?

Ava: Glossy and dark surfaces. Glass and the TV screen left holes. Clutter turns chairs and boxes into bumpy walls. And long loops drift, so in the narrow hallway he walked it twice and closed the loop at the front door.

Andrew: How do you know when a patch is bad?

Ava: The live mesh is the quality gate. Grey holes mean walk that patch again, not export and hope.

Andrew: And the bedroom?

Ava: Furniture stayed in place on purpose. Beds and dressers get lumpy, which is fine if you only need clearance paths. For clean walls, empty the room first. They learned that the hard way on a closet door swing.

Andrew: So when does this beat full CAD?

Ava: Early layout questions. If the scan survives one furniture decision, it already paid for the hour. The full write-up has the limits table and the export stills.

LiDAR apartment scan with Rhino on iPhone
Table of contents

We used Rhino on iPhone with LiDAR to scan our apartment in January 2024 — not for permit drawings, but to answer layout questions before buying furniture or arguing about wall space.

1. Why bother

LiDAR on a recent iPhone captures depth fast. Rhino turns that into geometry you can orbit on the phone and sanity-check dimensions. It is lighter than a full desktop CAD job for “will this desk fit?” and cheaper than hiring a scan for a rental unit.

I was not trying to replace a surveyor — I wanted relative confidence: hallway width, closet depth, whether a 60" TV wall is real or wishful thinking.

2. Limits you hit on day one

LimitWhat we did
Glossy / dark surfacesMissed patches on glass and TV screen — fill mentally
ClutterChairs and boxes become “bumpy walls” — scan before moving day
DriftLong loops without closure — revisit start point slowly
ExportPhone mesh is enough for measure; detailed NURBS still desktop work

3. How we scanned

Room by room, walking slowly while the mesh updated. No tripod, no professional rig — consumer hardware and patience.

3.1. Living room

Largest open area — establishes whether the mesh “feels” the right scale. We paused at corners so the depth camera could see both walls; rushing here made later rooms look slightly shrunk. The TV wall was the reference dimension we checked against a tape measure afterward (within a few centimeters, good enough for furniture).

3.2. Hallway and closet

Narrow spaces show drift fastest. I walked the hall twice: once forward, once back, closing the loop at the front door. The closet scan was mostly for depth — “will a deep shelf fit?” — not for pretty renders.

3.3. Bedroom

Furniture stayed in place on purpose. Beds and dressers become lumpy geometry; that is fine if you only need clearance paths, not a showroom model. If you need clean walls for renovation planning, empty the room first — we learned that the hard way on the closet door swing.

Scan workflow on iPhone — mesh building while walking the room

The live mesh is the quality gate: grey holes mean “walk that patch again,” not “export and hope.”

Reviewing the captured mesh in Rhino — checking coverage before trusting a dimension

Rhino on phone is where I rotated the capture and eyeballed whether two walls are actually parallel — faster than sending a raw mesh to desktop for a yes/no layout question.

4. Stills from the capture

These are export stills — useful when explaining the scan to someone who will not open the app.

Room capture — wide angle of meshed living space

Additional view — alternate angle to spot holes in coverage

5. When it paid off

Handheld LiDAR plus a focused modeling app is enough for early layout exploration. If the scan survives one furniture purchase decision, it already paid for the hour spent.

Same “digital → physical” thread as skate rack CAD and later AI figurines / 3D print — different fidelity, same habit: model before you cut or buy.

References

  1. antoinebou12. (). Article manuscript and bundled media. [Article source] github.com.

References use this article’s publication date.