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Move AI

AI-driven markerless motion capture technology converting 2D video into precise 3D motion data for animation and biomechanics.

Product Overview

What is Move AI?

Move AI preview

Move AI leverages advanced artificial intelligence, computer vision, biomechanics, and physics to transform simple 2D video footage into high-quality 3D motion capture data. This markerless system eliminates the need for traditional suits or markers, enabling users to easily capture realistic human motion for animation, gaming, sports analysis, and virtual production. Its scalable capture volumes and user-friendly setup make it accessible for professionals and creators alike.


Key Features

  • Markerless Motion Capture

    Captures human motion without requiring suits or physical markers, simplifying setup and increasing user accessibility.

  • 2D-to-3D Conversion

    Transforms ordinary 2D video footage into accurate 3D motion data using AI and biomechanics algorithms.

  • Scalable Capture Volumes

    Supports small spaces (5m x 5m) with Move One and larger volumes (up to 20m x 20m) using Multi-Cam setups.

  • Real-Time Tracking

    Provides immediate feedback and motion capture results, enhancing workflow efficiency.

  • Integration Friendly

    Outputs compatible with major animation and game development software for seamless pipeline integration.


Use Cases

  • Animation Production : Enables animators to generate realistic character movements quickly and cost-effectively without traditional mocap equipment.
  • Game Development : Facilitates capturing natural human motions to enhance character realism in video games.
  • Sports and Biomechanics Analysis : Allows detailed motion tracking for performance evaluation and injury prevention studies.
  • Virtual and Augmented Reality : Supports immersive experiences by providing accurate motion data for avatars and virtual characters.
  • Independent Creators and Studios : Offers an accessible motion capture solution without expensive hardware, suitable for freelancers and small teams.

FAQs

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