About Gabriella Systems
We build cricket-first computer vision tools for batting practice: a camera module near the bowling machine, a batsman-facing view, and feedback that is easy to act on.
Gabriella Systems focuses on cricket because the sport rewards tiny technical changes: a front shoulder opening too soon, a head falling across the line, an early trigger, or contact happening a few frames late.
Our platform turns bowling-machine practice clips into measurable patterns, giving coaches a consistent view of what changed between deliveries, drills, and sessions.
What guides us
Useful analysis should work from a small camera module placed around the bowling machine, without changing the batsman's drill.
Players need trends and repeatable benchmarks, not one-off impressions after a single good or bad ball.
The technology supports coaching judgment by surfacing motion evidence, priorities, and comparisons faster.
Batsman feedback roadmap
Cricket Vision starts with the current batsman-facing upload pipeline, then moves toward a dedicated module that can sit above or below a bowling machine.
Ball tracking, bat tracking, pose overlay, impact frame, and estimated speeds from single-camera clips.
A compact CV unit mounted above or below the bowling machine for repeatable net-session capture.
Session trends, shot comparisons, correction priorities, and coach review workflows for each batsman.