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Rail Weldments: AR Twin Turns Deviation Into a Heat Map

Source:Project Case Library / Date:2026-10-31

Rail bogie frames, body underframes, suspension brackets and snowplows are large welded structures several metres long, sometimes over 10 metres, and weighing tons. Safety requirements are high and inspection records must be kept for years, so the error and efficiency problems of manual inspection are amplified at quality-system level. Traditional inspection compares drawings and gauges by hand, and viewing limits, gauge handling and differences in experience all introduce error, especially on large parts. Paper records are expensive to archive and search, and poor at supporting defect statistics.

The hard part is interpretation, not size

The core need is to judge how well welding accuracy and component position match the CAD specification, and to identify rotation, offset and absence. All three must be decided clearly and located to a specific component. Inspection has to happen at the workpiece rather than in a fixed measuring environment, results must be readable without deep experience, and time must shorten so defects are stopped before the next stage.

Automatic object registration replaces manual setup

An inspector scans the part with a tablet, and computer vision identifies and registers the object automatically, with no manual calibration, aligning the digital twin to the physical part in real time. Once registered, the alignment holds as the tablet moves, so the inspector can step closer to a local area. Compared with traditional calibration that needs markers or manual alignment, scan-and-go is what makes training so short; registration references the whole component, so a patch of local dirt does not break it.

Three anomaly types look different on the overlay

  • Rotation: the physical part and model differ in orientation
  • Offset: the component is displaced as a whole
  • Absence: the model shows a feature that the part does not have

All three are aligned against the component as a whole.

A heat map compresses 3D deviation into one readable image

Deviation is shown as a colour heat map: 3D deviation is projected into a 2D view, magnitude maps to colour, and the inspector reads where and how much from the colour distribution without parsing a numerical report. The heat map is also stored as evidence with the inspection record, and defective parts are stopped before the next stage.

What the tracking cache is for

In complex scenes, switching viewpoint mid-inspection can lose alignment. A tracking cache supports seamless starts and fast recovery after an interruption, so an inspector can set the tablet down, change hands or shift position and continue, which suits multi-person work on large parts. Where the shop is dim, temporary light can be added at the scan area, and registration tolerance for lighting keeps the method usable.

Four weeks of pilot data and where it applies

After a 4 week pilot, inspection error fell by 92 percent, inspection time by 60 to 75 percent, training took 1 hour to reach competence, and the cycle was about 720 seconds per part, subject to site acceptance results. It suits rail and rolling-stock weldments that are large, low-volume and dominated by position and match checks. Selection should weigh CAD completeness, training effort and the defect interception flow; multi-site deployment depends on shared software and a common judgment criterion.

Questions before go-live

Does the heat map conflict with a numerical report?

No. The heat map handles rapid on-site location and reading, while numerical judgment remains with metrology; they serve different roles.

If the tablet is set down, must the part be rescanned?

No. The tracking cache restores comparison quickly after an interruption, cutting repeated scanning time.

Why can training be as short as 1 hour?

Scanning registers the object and deviation appears as a heat map, so operation and reading are direct and the inspector needs no measurement theory.

Which parts are unsuitable?

Parts whose inspection is dominated by precision tolerance values, or that lack a usable CAD model, should go to metrology or have models built first.

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