The problem
Sports video contains useful information, but it is hard to turn raw footage into structured signals. Player location, spacing, movement, and possession context need to be detected consistently before they can support analysis.
Use case
Sports analytics
Computer vision systems that track basketball players, interpret movement, and turn raw video into usable signals.
What the system does
- Detects and tracks players across video frames.
- Transforms visual positions into movement and spacing signals.
- Connects frame-level perception to game-level context.
- Exports structured events or metrics for downstream analysis.
Business value
The value is not just object detection. It is turning video into a consistent analytical layer that coaches, analysts, or products can query and build on.