The Evolution of Video Intelligence
From flat playback to spatiotemporal analysis
Standard video is a dead end — flat, passive, and invisible to analysis. Trainers rewind and guess. Certifiers grade by feel.
AI pose estimation turns ordinary cameras into motion intelligence sensors — extracting skeletal data, depth, and temporal patterns from standard video.
Single Viewpoint
One camera, fixed perspective
Flat Playback
Play, pause, seek
No Depth
X, Y only — no spatial information
Time is Linear
Watch at 1x or miss it
Multi-Angle Capture
Up to 8 synced cameras, switch viewpoints freely
Pose Estimation
3D landmarks per frame with real depth (X, Y, Z)
3D Skeleton Rotation
Drag to rotate skeleton in space via wireframe sphere
Digital Zoom
Magnify spatial detail, pose overlay scales proportionally
PNX Motion Trails
Proprietary ghost trails with opacity falloff visualize movement through time
Temporal Control
Trail duration (0.25s-3.0s), speed (0.25x-1.5x), frame-by-frame advance
Dark Mode Visualization
Skeleton-only view with 3D floor grid, pure motion data
Joint Angles + CoM
Center-of-mass trajectory, joint angle arcs, HUD readout
Where the body is in 3D space, combined with how it moves through time. Not a single frame — a continuous motion field that captures trajectory, velocity, and form across every moment.
A photo tells you a pose. A video shows you a sequence. 4D spatiotemporal analysis reveals the physics of movement — joint angles unfolding over time, center-of-mass trajectories, and motion patterns invisible to the naked eye.
Fitness Trainer Certification Companies
Validate technique at scale with frame-accurate motion analysis
Coaches & Personal Trainers
Show clients exactly what their body is doing — from any angle, at any speed
Movement-Based Studios
Martial arts, Dance, Gymnastics, Pilates etc. — turn every class recording into a learning tool