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Rieker Smart-MAT · Measurement technology · iPad and laptop

Turning captured environments into measurable 3D models.

Smart-MAT on a tablet, showing a 3D model of a curb ramp with measurement tools and point panels

About the project

Smart Mat connects IoT hardware data with a visual measurement workspace. Through 3D photogrammetry, captured site data becomes a digital model that teams can inspect, annotate, and measure.

Client
Rieker Inc., USA
Industry
Measurement technology
Platform
iPad and laptop
Services
Web & Mobile AppsBusiness AutomationDesign
Our role
Principal Architect & Developer
measurement accuracy in the app0.01mm
photogrammetry models teams can measure, on iPad and laptop3D

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Physical measurements need context.

A number alone cannot show where it was taken or how it relates to the surrounding environment. Smart Mat brings the captured environment and its measurements into one workspace.

Users can explore a reconstructed site, define reference points, and work with distances, slopes, offsets, and elevations directly on the model.

Technology

  • Babylon.js
  • Node.js
  • MongoDB
  • React
  • AWS

The challenge

The software needed to make complex spatial data practical to work with. Users had to navigate detailed 3D models, select precise points, configure calculations, and keep track of results without losing their place.

Connecting the hardware capture process to a clear software experience was central to the project.

What we built

We developed the software that connects with the client’s hardware workflow and turns uploaded capture data into an interactive measurement experience.

A large 3D viewer sits beside measurement tools and organized data panels, so teams can move between visual inspection and numerical results on the same site.

Smart-MAT on a laptop, showing a 3D model of a curb ramp with a measurement toolbar and points panel

Interactive 3D inspection.

Explore photogrammetry models to understand the captured environment and identify areas for measurement.

Smart-MAT on a tablet with an Edit Point panel and the points and measurements lists

Point creation and editing.

Define, label, and manage reference points with X, Y, and Z coordinates.

Smart-MAT on a laptop with a Measure True Distance form

Distance and slope tools.

Work with distance, true distance, slope, true slope, offset, and elevation measurements.

Smart-MAT on a laptop with a Measure Grid Analysis form

Grid analysis.

Configure measurement points, intervals, and axis ranges to examine a selected area systematically.

Smart-MAT on a tablet showing a slope measured on the 3D model, with the points and measurements panels

Organized measurement data.

Review points and calculated values alongside the model, with visibility controls that help users focus on relevant information.

Smart-MAT on a laptop and a tablet side by side

Save and download.

Preserve work and download outputs for subsequent review.

How we optimised it.

  1. 01

    The model stays at the center. Toolbars give access to measurement actions, and side panels organize points and results.

  2. 02

    Contextual forms guide users through each calculation without taking them out of the workspace.

  3. 03

    Dark canvas areas, white panels and teal controls separate the model from the tools used to inspect it.

What it achieved

Measurement accurate to 0.01 mm, in a connected workflow from hardware capture and 3D visualization to structured, reviewable engineering data.

What it can do.

  • Interactive 3D inspection
  • Point creation and editing
  • Distance and slope tools
  • Grid analysis
  • Organized measurement data
  • Save and download

Every layer, one team.

We led the overall architecture, UI/UX design, development, deployment, and testing of the production platform, bringing together 3D visualization, application development, regulatory workflows, and cloud infrastructure.

6 disciplinesRieker Smart-MAT
  • ArchitectureFull-stack platform design
  • UI/UXInterface and assessment flows
  • WebReact analysis tools
  • 3DBabylon.js measurement engine
  • BackendNode.js and MongoDB
  • CloudAWS deployment and testing
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