Custom API Development and Integration Services

UNOMi (AI Motion Capture & Animation Software)

Challenge: UNOMi is seeking to bring pro-level motion capture within reach of studios that cannot afford the $50K–$500K+ of marker suits, sensors and stages typically required.

Solution: IPH Technologies has developed a markerless motion capture pipeline using deep learning-based pose estimation algorithms which can be exported into Maya, Blender, Unity, Unreal Engine and MotionBuilder in the form of animated 3D skeletons.

Result: Motion capture costs were reduced by 90–95%, production cycles were shortened by 70–80%, and 88% accuracy was achieved compared to traditional marker-based motion capture – across 5+ native pipeline integrations.

“IPH Technologies is taking on a challenge that we thought was impossible to solve without the purchase of extremely costly hardware. The markerless tracking they have engineered rivals products that cost us hundreds of thousands of dollars, and their willingness to work with us has led to an evolution of the product with every release.

A few other numbers from the case study that you might want to substitute depending on which metric you lead with:

• 30 minutes of footage (vs. a full-day studio session)
• 33+ body keypoints tracked per frame
• Sub-pixel tracking accuracy across body types, lighting, and camera angles

Want me to make another couple versions of this? (maybe shorter, for a slide, or talking about technical/CV engineering aspects rather than cost aspects?)