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Reports

One self-contained HTML document from what the session measured - the as-built review with its per-zone punch list, the volume and how much of it rests on the classification, the measurements you kept - and a provenance block that lets someone else re-derive every number.

Where File › Build report… Tier Pro CLI report

Part of Point cloud processing software, Scan to BIM, Point cloud change detection.

The Build Report window: subject, client and date, the sections to include, the option to write the cloud beside the report, and the kept measurements
One self-contained HTML document from what the session measured.

When to use it

At the end of a job, when the result goes to someone who will not open N3D: a client, a site manager, an archive. Also headless, over a batch of sites, where the exit code sorts passes from failures without anyone reading the documents.

Step by step

  1. Do the work first: a comparison in Compare & detect change for the as-built review, a volume in the Measure tool for the volume section, and Keep on any measurement you want listed.
  2. Open File › Build report…. Fill in the Subject (the file name by default), the Client (left out if blank) and the Date (today fills it).
  3. Under Sections, tick As-built review (per-zone pass / fail) and set the Tolerance (25 mm) and the pass share (95 %); tick Volume, and …and what the classification is worth to count chosen classes as material; tick What this cloud holds, …with rendered views for four fixed viewpoints; tick Write the cloud beside it (LAS).
  4. Review the Kept measurements list and remove any with its 🗙. Add a Note if needed.
  5. Press Save report… and choose HTML report (or a plain-text review sheet). The LAS is written beside it with the same name.
The first page of a Neurones 3D report: the verdict, what the cloud holds, four rendered views, and the as-built review with its criterion stated before measurement
The verdict first, then what the cloud holds, how it looks, and the review against the criterion you stated before measuring.

What it was measured at

Measured

The as-built review uses fixed 8 × 8 zones with stable A1-style labels, each pass, fail or no-data. On the command line the report exits with 0 on a pass and 2 on a fail.

The provenance block

Every report carries the content hash of the input, a reproducibility key, the parameters, the N3D version and the build date. Two people with the same file and the same version get the same numbers, and the block is what lets the second one check.

From the command line

n3d-render-cli report --input asbuilt.las --reference design.ifc --out site12.html \
    --tolerance-mm 25 --pass-pct 95 --subject "Site 12" --zones-csv site12_zones.csv

Limits, stated

  • The coordinate system is stated in the report, and stated as absent when it is.
  • A registration residual is never shown alone: RMS comes with the inlier share, the iterations and whether it converged.
  • A zone with no points is no-data, not a pass.

Related questions

What does a paid licence unlock?

Writing out what the program worked out: computed columns (class, segment, confidence, height above ground, deviation) on an export, drawings (DXF, PDF, SVG), terrain rasters, GIS vectors, meshes as glTF, reports, region and zone CSVs, saved images and flythrough videos. Desktop, Engine & SDK and the academic licence unlock the same features in the program; Engine & SDK adds the Python package and the command line. The boundary is enforced in code and tested in both directions.

Does it keep the coordinate system?

Yes. It is read from LAS GeoTIFF keys, the OGC WKT record and LAS 1.4 extended records, carried into reports, and stamped on a LAS export as long as the geometry is still the source’s. A cloud that was moved by hand is written without it, because the stamp would no longer be true. Vector layers are checked against it and a clash is reported.

More in the FAQ.

Compare and register Compare and detect change (M3C2) Compare a survey against a reference (another survey, a mesh or a BIM model) as a signed distance with conformance bands and a worst-first list of defects, or run M3C2 to say what was gained, what was lost, and what simply was not observed. Measure and cut Measure distance, area and volume Pick points for coordinates and distances, trace a polygon for an area, and measure a volume in three clicks’ worth of stages - trace the base, set the height of the prism, commit - and read both the extrusion and the material the points actually fill below its ceiling. Deliver Export a point cloud (LAS, PLY, CSV, USD, web) One dialog for every point cloud export - format, subsample, colours, label columns and scalar fields - with a LAS writer that puts the class in the classification byte and every id in an exact 32-bit extra byte.

About

Why Neurones 3D exists.

Standing inside a 43.5 million point indoor laser scan rendered by Neurones 3D

I have spent years working with point clouds, and for most of them the software got in the way. I wanted one tool I would actually reach for every day: fast enough to enjoy, honest about what it does, and calm to use.

Neurones 3D started in Python, the way most of my research does. It worked, but it was heavy, and heavy tools quietly discourage you from opening them. So I rebuilt everything in Rust, from the file readers to the renderer, with one rule: stay frugal. A single small file, no cloud, no telemetry, billions of points on a laptop that is ten years old. In an age where every tool reaches for a data center, I wanted the opposite.

The goal is simple to say and hard to earn. One package that carries you from capture to understanding to deliverable, without exporting to five other programs along the way. Load a scan, a splat, a building, a phone video. See it, classify it, measure it, and send out something real. Together, in one place.

This is the tool I always wanted. I hope it becomes yours too.

Dr. Florent Poux 3D Geodata Academy

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