How many times have you gone over budget optimizing a detail-rich CAD model? It takes a lot of time and effort to optimize a complex CAD model into a simplified mesh that is suitable for real-time experiences. For 3D modelers, designers, engineers, and architects, preparing data for real-time visualizations in applications like mobile, iPad and VR headsets is a time-consuming process because it’s manual and prone to mistakes. For CAD models to have a smooth visualization in AR/VR, they need to have low file size and complexity, and reach a certain framerate.

Content preparation is not an easy task, especially when it comes to technical CAD files that are designed for manufacturing and not for marketing/sales purposes. Yet, an optimized model with a minimum amount of unnecessary data performs better in real-time, the render time is significantly better, and the chances for glitches are reduced to a great extent, which is why minimizing 3D content has become completely necessary when creating real-time visualizations for AR/VR. A big portion of mesh simplification comes down to removing or instancing repeated assets.

Why are repeated assets an obstacle to visualization?

Repeated assets, even though they are mathematically identical, all have to be individually processed and rendered, causing delays to visualization. On the other hand, a 3D design with optimized repeated assets will have less data using up processing power creating an improved interactive performance.



Engineering model of an engine with various repeated assets (highlighted in yellow)


One of the bottlenecks for delivering AR/VR content from engineering design files is the inefficiency that exists in the data preparation workflow. High render times and slow-performing models are one of the biggest hurdles that designers and 3D technicians have to work past these days. Luckily, optimization tools available in the market, like Meshmatic, help automate these tedious/repetitive tasks.

What is Meshmatic?

Meshmatic is a software that improves the performance of CAD and FBX models for real-time visualization and AR/VR applications. It has tools that help 3D modelers and designers speed up their clean-up and optimization workflow while reducing the potential for human error. Some of these tools include filtering assets based on similarities and creating instances of them to reduce file complexity and improve real-time performance.

Filtering assets based on similarities

Duplicate assets increase file complexity and slow down real-time visualizations. Such duplicate assets can therefore be entirely removed from the visualization. However, left clicking and pressing delete on an asset that may be repeated over 100 times is simply impractical for AEC professionals that work in an industry where time is money.

Having a software that can quickly and accurately detect assets based on similarities in vertices, faces and volumetric size, could make minimizing 3D content for AR/VR significantly faster. Meshmatic can easily sort assets based on similarities in size and volume. Simply import your 3D model, and the software will read your file and accurately find repeated assets. Once Meshmatic finds duplicate assets that are a hindrance/obstacle to visualization, deleting them or instancing them is a walk in the park.



Meshmatic detected the same bolt repeated throughout the engineering model of an engine


Minimize 3D content for AR/VR with grouped instancing

After duplicate assets are detected and filtered by Meshmatic, you can choose to delete or instance them in groups. Instancing assets that are repeated throughout the scene will reduce the number of draw calls and increase the speed of the visualization. Entirely deleting assets not needed in a visualization will also improve speed and render times.




If you were manually optimizing your file, you’d have to delete or instance each asset individually. Using an automated solution like Meshmatic lets you do the same task more efficiently. Aside from Minimizing 3D content for AR/VR is a tedious task and slip-ups with big consequences are prone to happen.

How does Meshmatic ensure accuracy?

Meshmatic has a three-step process to ensure human error is decreased as much as possible.

  1. Mesh comparison

The software reads through all the parts in the file and compares the number of vertices, edges, and faces between assets, and creates groups of identical meshes.

  1. Volume check

The software then calculates the volume of the identical meshes to increase the accuracy of detection.

  1. User check

Although it’s an automated software, Meshmatic asks the user to review the duplicate assets and confirm they are repeated.

Having a software that can group and filter assets based on similarities could significantly streamline the mesh simplification workflow. With Meshmatic, filtering assets and optimizing them is easily achievable.

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