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Our 3DNeuroNet Engine

Analysis | 3D | Engine

E
Written by Elora Brenneman Wilson
Updated over 2 months ago

Understanding how your video becomes a detailed movement report can help you better interpret your results. In this article, we’ll explain how the 3MotionAI engine transforms a simple video into science-level biomechanical insights.


It All Starts With a Video

All you need is a video captured using:

  • Our 3MotionAI Pro app, or

  • Any smartphone or video capture device

Once your video is uploaded, our processing engine begins analyzing the movement automatically.


The 3-Layer Processing Engine

At the core of 3MotionAI is our 3DNeuroNET Engine — the system that converts standard video into measurable, real-world movement data. Here’s how it works:


Layer 1: Computer Vision Tracking

The first step is computer vision. Our system:

  • Detects and tracks 19 major body joints in 2D

  • Analyzes movement frame by frame

You can think of this as a moving digital stick figure that follows the person’s motion over time. This layer creates the foundation for everything that follows.


Layer 2: 3D Reconstruction

Next, our proprietary AI model transforms that 2D information into a detailed 3D skeletal model. What this means:

  • 2D pixel data becomes real-world measurements (e.g., metres, degrees)

  • Depth (in/out of frame) is accurately reconstructed

  • The expands to 53 anatomical landmarks (in 3D)

Unlike basic vision tools that struggle with depth estimates, our engine is designed to provide highly accurate 3D tracking compared to traditional motion capture methods.


Layer 3: Task-Specific Metrics & Insights

Once the 3D model is built, the system calculates meaningful metrics based on the assessment type you selected. Depending on the task, this may include:

  • Joint angles

  • Reach distances

  • Postural patterns

  • Risk indicators

  • Other task-specific movement metrics

These calculations form the foundation of the results and visualizations you see in your final report.


Why This Matters for Your Reports

Understanding this process helps you:

  • Interpret joint angle measurements more confidently

  • Recognize how depth and 3D motion are captured

  • Trust the consistency of your analysis

  • Better compare results across assessments

All of the metrics in your report are built on this processing pipeline. See the video below from our Video Education Series on our 3DNeuroNET engine.

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