iPhone LiDAR + Photogrammetry: Combined Workflow for Installers

For commercial installers, combining LiDAR and photogrammetry on a single iPhone Pro gives you two complementary measurement methods in one device. LiDAR captures precise geometry quickly; photogrammetry fills in surface texture and color. Together they produce a textured 3D model you can measure, annotate, and share with stakeholders.

This is the workflow behind modern field surveying for security, AV, and low-voltage contractors. No tablet, no laptop, no external scanner required.

Why combine the two methods

Each technique has strengths the other doesn't. LiDAR measures depth directly using time-of-flight, giving accurate distances regardless of surface texture. Photogrammetry reconstructs geometry from overlapping photographs, capturing fine surface detail that LiDAR alone misses.

When you run both on the same pass through a space, you get a model that is geometrically accurate (from LiDAR) and visually realistic (from photogrammetry). That combination is exactly what you need for client presentations, stakeholder reviews, and handoff documentation.

The combined workflow

Step 1: Prepare the space

Clear obvious obstructions where possible. Move chairs away from walls, open cabinet doors, remove temporary signage. You don't need a perfectly clean jobsite, but removing large movable objects reduces holes in the final model.

Good lighting helps both methods. Natural light is ideal; supplement with portable LED panels if the space is dim. Avoid strong backlighting that creates silhouettes.

Step 2: Capture LiDAR geometry

Open your LiDAR app and begin the scan. Walk slowly through the space, keeping the device pointed at surfaces you want captured. The LiDAR sensor samples depth continuously as you move.

Key technique: maintain steady motion. Jerky movement confuses the SLAM algorithm that tracks position. Keep the device roughly level and sweep smoothly across walls, ceilings, and floors.

Coverage targets: capture every wall face, ceiling plane, floor area, and major fixture. Don't worry about furniture interiors — those are secondary. Prioritize architectural boundaries.

Step 3: Capture photogrammetry imagery

Without stopping the session, switch to photo mode. Take overlapping photos of the same surfaces you scanned with LiDAR. Aim for 60-70% overlap between consecutive shots.

Photogrammetry requires many angles of the same object. Photograph each wall from multiple positions, each corner from both directions, each ceiling plane from below. The reconstruction algorithm triangulates 3D position from parallax between images.

Step 4: Process the combined dataset

Most LiDAR apps process the combined scan automatically once you stop recording. The software aligns photogrammetry imagery to the LiDAR geometry, texturing the mesh with the captured photos.

Processing time depends on scan size and device speed. A typical commercial interior processes in 2-5 minutes on recent iPhone Pro models. Larger spaces take longer.

Step 5: Export and review

Export the finished model in your preferred format. Common choices: OBJ for CAD compatibility, GLB for web viewing, USDZ for Apple AR Quick Look.

Review the model before leaving the site. Check for obvious holes, missing surfaces, or misaligned textures. If something is wrong, you can rescan immediately while you're still on location. Rescanning later means returning to the site.

Accuracy expectations

LiDAR accuracy at typical indoor distances is approximately 1-2%. For a 20-foot wall, that translates to roughly 2.4 to 4.8 inches of potential variance. Photogrammetry accuracy depends on image quality and overlap, generally within a few millimeters under good conditions.

Combined, the workflow delivers accuracy suitable for proposal estimation, preliminary design, and stakeholder visualization. It is not fabrication-grade accuracy — do not use it for equipment cutouts, conduit routing, or any dimension that feeds directly into manufacturing.

For those applications, supplement the scan with physical tape measurements at critical locations.

File formats and downstream use

Different downstream tools accept different formats. Know what you need before exporting.

OBJ: universal mesh format, readable by virtually every 3D application. Use this for CAD imports and general sharing.

GLB/GLTF: web-friendly 3D format, smaller file sizes than OBJ. Good for embedding in web portals and sending to clients.

USDZ: Apple's AR format, renders natively in iOS AR Quick Look. Ideal for client presentations on iPhone or iPad.

Point cloud formats (LAS, LAZ): raw depth data without mesh. Useful for detailed analysis but larger and harder to view.

Apps that support the combined workflow

Three tools dominate the combined LiDAR + photogrammetry market for iOS.

Polycam offers both LiDAR and photogrammetry modes, with export to OBJ, GLB, and several other formats. Subscription-based with a free tier. Widely used in the field.

Scaniverse is free and supports both capture methods. Acquired by Niantic, actively maintained. Good option for budget-conscious operators.

Canvas by Occipital focuses on interior scanning with strong SketchUp integration. Popular among designers who need CAD-ready output.

All three produce comparable quality for typical commercial survey work. Choose based on price, export needs, and ecosystem preference.

Common mistakes to avoid

Capturing too little overlap. Both LiDAR and photogrammetry require redundant coverage. Sparse scans produce holes and reconstruction errors.

Moving too fast during capture. Fast movement degrades SLAM tracking, causing drift and misalignment. Slow, deliberate sweeps produce cleaner results.

Ignoring lighting conditions. Poor lighting hurts photogrammetry disproportionately. Dark corners become noise; backlit windows blow out. Adjust lighting before scanning.

Skipping the on-site review. Processing happens after you leave the room. If you discover a hole after returning to the office, you've lost the opportunity to rescan. Verify completeness before packing up.

When to use each method alone

Sometimes you only need one method. LiDAR alone is faster and sufficient for pure dimensional work — measuring room sizes, verifying clearances, documenting existing conditions. Skip the photography when texture isn't important.

Photogrammetry alone works when you have no LiDAR device but still need 3D reconstruction. The accuracy is lower and processing is slower, but the result is often good enough for rough estimation.

Use both when you need a presentation-quality model that communicates both dimensions and appearance. That's the sweet spot for client-facing deliverables.

Integration with project management

The finished model should attach to the project record, not live in a standalone app. Export the file and upload it to your project management system alongside the proposal, scope, and schedule.

That way the model travels with the project through delivery and becomes part of the permanent record. Future technicians inheriting the account find the original scan documented, not buried on a departed employee's phone.

Cost considerations

The hardware cost is the iPhone itself — already owned by most field technicians. No additional scanner purchase required.

Software costs vary. Polycam charges a subscription; Scaniverse is free; Canvas has a one-time purchase model. Factor the recurring cost into your operating budget if you choose a subscription tool.

Time cost is real. A thorough combined scan takes 15-30 minutes for a typical commercial interior. Budget that time into your survey appointments. The accuracy gain is worth the investment for most commercial work.

Frequently Asked Questions

Can I use an iPhone without LiDAR for photogrammetry?

Yes. Photogrammetry works on any iPhone with the camera. You'll get slower results and less precision than LiDAR-assisted capture, but the method still produces usable 3D models for most commercial survey work.

Which apps combine LiDAR and photogrammetry?

Three tools dominate the combined workflow: Polycam (LiDAR + photo modes, exports OBJ/GLB), Scaniverse (free, Niantic-acquired, supports both methods), and Canvas by Occipital (interior-focused, integrates with SketchUp).

How accurate is iPhone LiDAR for commercial takeoffs?

Field benchmarks show 1-2% distance error at typical indoor ranges (under 5 meters). For a 20-foot wall, that is roughly 2.4 to 4.8 inches of variance. Sufficient for rough order-of-magnitude and proposal work; not sufficient for fabrication-level shop drawings.

Does photogrammetry work outdoors?

Photogrammetry works outdoors with good lighting and texture. LiDAR is limited outdoors due to sunlight interference with the infrared sensor. For exterior work, rely on photogrammetry or aerial imagery rather than LiDAR.

What file formats do these workflows produce?

Common exports include OBJ (universal mesh format), GLB/GLTF (web-friendly 3D), USDZ (Apple AR), and point-cloud formats like LAS/LAZ. Most CAD/BIM tools import OBJ natively; specialized viewers handle the others.