Batting Intelligence
- Head stability
- Bat path and bat speed at impact
- Contact time in this clip
- Ball speed and ball tracking
- Delivery length cues where visible
- Body pose overlays
- Shot-phase breakdown
Computer vision for cricket nets
Upload a batting or bowling clip and Gabriella detects the player, bat, and ball, then returns the metrics and visualizations that fit that action and camera view — so coaches get evidence they can compare across sessions.
One analysis stack. View-aware results.
Gabriella Systems is cricket vision for nets: upload a batting or bowling clip and get pose, bat, and ball overlays plus session metrics that fit that view. Ungated takes fail loud — Can't measure — rather than a guessed number.
Gabriella Vision
Session metrics from this take
Gabriella Vision
Session metrics from this take
One system. Multiple perspectives.
How it works
Purpose-built cricket vision system
Detect player, bat, ball, events
Speed, angles, timing, trajectory
Compare delivery, session, history
Objective evidence for coaches
Compare with care
Coaches can review metrics across clips and sessions when takes share a similar view and quality. Automatic longitudinal comparison is the product thesis — strongest once capture is consistent.
Illustrative sample data — session trends need comparable views and clip quality.
Gabriella Vision
The software is tuned for cricket actions — detecting player, bat, and ball, then selecting batting or bowling session metrics from the clip. Purpose-built capture hardware is planned to make session-to-session comparison even more consistent.
We started with cricket; baseball and softball are next (same session-metric / fail-loud approach). Roadmap — we do not support baseball or softball today.
Learn about the platformCricket academy pilots
We're piloting Gabriella Vision with academies, coaches, and performance programs. Tell us how you train — we'll map batting and bowling analysis to your workflow.