Capture
Video capture from nets practice — software-first today, dedicated hardware planned
Gabriella Vision System
Computer vision for cricket batting and bowling
Live software analyzes batting and bowling clips, then returns the metrics and visualizations that fit the action and camera view. Purpose-built capture hardware is planned to strengthen consistent net measurement.
How analysis works
From raw capture to coaching evidence
Understand
Find the player, bat, ball, and key moments
Measure
Motion, speed, timing, and pose metrics suited to the clip and view
Learn
Compare delivery to session to player history over time
Improve
Give coaches objective evidence for every conversation
View-aware analysis
Tell Gabriella the action — get the right readout for the view
Batting analysis — when the clip is a batting take
Tracks: player pose, bat, and ball where visible in frame
Surfaces: batting metrics and overlays suited to that camera view
Bowling analysis — when the clip is a bowling take
Tracks: run-up and action phases, joints, release cues, and ball where visible
Surfaces: bowling metrics and visualizations suited to that camera view
Built for cricket, not adapted to it
Why a dedicated capture device is planned
Consistent measurement benefits from consistent capture. Today Gabriella analyzes cricket clips in software; purpose-built hardware is planned to improve repeatable net capture beyond a typical phone setup.
- Batting and bowling clip analysis
- Pose, bat, and ball overlays where visible
- View-aware metrics, Ready when trusted or Can't measure with a plain reason
- Phase breakdown for the action in frame
- Analysis of a submitted clip
- Portable capture hardware on the roadmap
Platform outputs
What the system delivers
See the platform in action
Explore the live demo or get in touch to discuss a pilot deployment at your academy or training facility.