From any phone, camera, or existing video — get clean 2D and 3D keypoints and skeleton data with no markers, no suit, and no calibrated studio.
How it works
No special equipment, no calibration, no bottleneck. Our neural network handles landmark detection, temporal smoothing, and 3D reconstruction — from any footage you already have.
Step 01 — Footage
Any saved MP4, MOV, or AVI — phone, camera, or existing video. No minimum resolution, no controlled environment required. Video is processed and immediately deleted.
Step 02 — Reconstruct
Deep neural networks detect 500+ anatomical landmarks per frame, reconstruct 3D joint positions, and apply temporal smoothing to eliminate jitter — no physical markers required.
Step 03 — Output
Receive 2D and 3D keypoints, skeleton tracking, and joint-angle data — structured for analysis, visualisation, and downstream integration into animation and biomechanics workflows.
Who it's built for
The same markerless engine powers game studios, sports scientists, and clinicians — each with a fundamentally different use case and ROI.
Optical mocap costs $10K+ in hardware and $1,500/day in studio time. SnapMeasureAI extracts skeleton and pose data from any video — on set, on location, or from previously shot footage. Enterprise integration with Unreal, Unity, Blender, and Maya is available on request.
Turn years of training and competition footage into joint-angle data, gait metrics, and kinematic sequences — no retroactive marker placement needed.
Clinical gait labs run $200–$500 per assessment. SnapMeasureAI extracts comparable kinematic outputs from a smartphone clip — enabling remote monitoring and large-scale research cohorts.
Technology
Not a general pose model. A purpose-built neural network trained on over 13 million images and video frames — producing SMPL-compatible skeleton and keypoint output across a wide range of body types, poses, and real-world environments.
FAQs
Traditional optical systems (Vicon, OptiTrack) require a calibrated multi-camera volume, retro-reflective markers, and trained operators — hardware costs start at $10,000+, with studio day rates of $1,500–$5,000. Inertial systems (Xsens, Rokoko) still require a sensor suit. SnapMeasureAI requires nothing from the subject — just standard video from any camera. The trade-off is lab-grade sub-millimetre precision versus practical, scalable accuracy from footage you already have.
The model was trained on over 13 million images and video frames across a wide range of body types, poses, and environments. It performs well on everyday movement — walking, exercise, sport, and on-set performance. Get in touch if you'd like to discuss a specific use case.
The technology is designed to work with standard video — no special camera or settings required. Higher quality generally helps, but we've seen good results from low-quality footage too.
The technology produces 2D and 3D keypoints, skeleton tracking data, and joint-angle time series. Export to formats like FBX and BVH, and direct integration with Unreal, Unity, Blender, and Maya, are available for enterprise engagements — contact us to discuss your pipeline requirements.
Video files are deleted immediately after the skeleton output is generated. No footage is stored, no biometric data is retained, and no personally identifiable information is kept.
Email info@snapmeasureai.com with a brief description of your use case. We'll follow up to discuss your footage, output requirements, and how the technology fits your workflow.
Get in touch to discuss your use case or explore how the technology fits your workflow.
Or write to us directly: info@snapmeasureai.com