Praxis Vision
Turn frames into structured movement.
Vision runs machine-learning detection and tracking across the aerial feed. Its output is a live movement layer with classes, positions, and stable track identities.
The Praxis product map
Operating boundaries
Each surface owns a different source and output: tracks, crossings, a case clock, an execution record, a 3D replay, or a fixed tracker comparison.
The six products
Each surface has one job. Open a product to see the controls, records, and source context that belong with it.
Vision runs machine-learning detection and tracking across the aerial feed. Its output is a live movement layer with classes, positions, and stable track identities.
Keep a place registered through camera motion, turn track crossings into events, and surface the current state for the operator.
Carry an operator event into one case clock across drone, roadside, and vehicle views. Missing views stay missing.
Upload a clip, mark an area or select a subject, and run detection, tracking, and scene logic. The playable result keeps its tracks, events, files, and execution record.
World opens a browser derivative of a published reconstruction with its recorded camera positions, source record, license, and limits in view.
Arena places four synchronized tracker outputs over the same prepared sequence and scoring frame so identity changes can be inspected side by side.
Choose the surface
Open Vision for movement, Watch Areas for registered boundaries, Memory for multi-view review, World for 3D flight context, or Mission Studio for execution lineage, and Arena for tracker comparison.
Review software proofs