MeshLib Use Cases

Open-source 3D geometry library that enables you to seamlessly create powerful 3D applications & perform advanced operations with ease using either C++ or Python.

Companies in the following industries benefit from using MeshLib today

Prepare 3D scan for 3D Printing

PROBLEM

Raw 3D scans often contain imperfections, inconsistencies, and excessive data that can lead to printing errors and inefficiencies that delay production and increase costs

SOLUTION

OUTCOME

Our customer’s business grows as his clients enjoy the advantage of fast and efficient triangulation and 1-click 3D model repair.

Simulate CNC machining strategy instantly

PROBLEM

A client wants to develop a software due to the absence of automated solutions for CNC prototyping. Using current market solutions it is hard to create machining plans efficiently that results into higher costs and less effective manufacturing. There's a market need for a simpler way to design parts for 3-axis CNC machining.

SOLUTION

Utilizing the rapid MeshLib boolean algorithms ensures a secure simulation of the cutout process in CNC machining, allowing for the virtual verification of existing CNC programs. The Boolean operation subtracts successive milling cutter positions from the blank, ensuring a safe and efficient simulation of the machining strategy.

OUTCOME

Our customer’s business grows as his clients enjoy the advantage of receiving a comprehensive machining strategy within minutes, as opposed to hours. This leads to reduced part costs, eliminates revision cycles, and shortens lead times.

Quality Control

PROBLEM

Comparing scanned product to the original digital model to detect variations & defects, demanding accurate alignment, deviation analysis, and defect detection for quality assurance.

SOLUTION

Align models in two clicks
Distance compare tool→  set 0 to green
Adjust the min/max palette type to highlight eventhe minimal differences
View the differences in colors presented in the pallet bar
Download the differences report

OUTCOME

Benefit from visual representation of the differences between meshes, average distance statistics as well as the report that can be downloaded from MeshInspector with one click.

CT image segmentation

PROBLEM

Segmenting CT images is complex due to varying structures like soft tissue, bone and nerves, often obscured by artifacts and overlaps. Accurate segmentation is vital for treatment planning, demanding robust methods for precise outcomes and patient safety.

SOLUTION

OUTCOME

A 3D mesh representation allows detailed analysis & manipulation, potentially aiding in surgical planning or in other medical procedures.

Swift CT Reconstruction

PROBLEM

The time it takes for CT reconstruction can vary widely depending on factors such as the complexity of the scan, the algorithm used, the computational power of the system, and the desired image quality.

MeshLib Use Cases

Prepare 3D scan for 3D Printing

PROBLEM

SOLUTION

OUTCOME

Simulate CNC machining strategy instantly

PROBLEM

SOLUTION

OUTCOME

Quality Control

PROBLEM

SOLUTION

OUTCOME

CT image segmentation

PROBLEM

SOLUTION

OUTCOME

Swift CT Reconstruction

PROBLEM

The time it takes for CT reconstruction can vary widely depending on factors such as the complexity of the scan, the algorithm used, the computational power of the system, and the desired image quality.

SOLUTION

1

Get raw CT scanner data

2

Import files to MeshInspector for quick and accurate CT reconstruction

3

Get image data that is ready for viewing and editing

OUTCOME

Benefit from efficient algorithms that improve reconstruction speeds while prioritizing quality

Looking for how MeshLib works under the hood?

Product

Resources

Compare