Batsman Mechanics
Track head position, front-foot plant, backlift, impact timing, and shot shape across drives, cuts, pulls, and defensive strokes.
Bowling-machine vision module
Gabriella Systems places computer vision above or below a bowling machine to analyze each delivery and give precise feedback to the batsman.
Built for batting practice
The module watches the batsman from near the bowling machine, detects the player, bat, ball, and body landmarks, then turns each delivery into coaching-ready metrics.
Track head position, front-foot plant, backlift, impact timing, and shot shape across drives, cuts, pulls, and defensive strokes.
Place the CV unit above or below a bowling machine for a consistent batsman-facing angle across every ball in the session.
Estimate ball speed, bat movement, impact frame, and pose changes from a single camera using the existing CV pipeline.
Computer vision that speaks cricket
Gabriella Systems identifies batting phases like stance, trigger movement, downswing, impact, and follow-through. Coaches get objective visual evidence from the same end as the bowling machine without needing a second camera angle.
How we approach cricket analysisSimple workflow
Attach the CV module above or below the bowling machine so the camera faces the batsman and the ball path.
Computer vision extracts batsman pose, bat path, ball tracking, impact timing, and estimated speeds automatically.
Review objective metrics, annotated frames, and correction priorities with the batsman after each clip or session.
Interactive sample
The demo page mirrors the current upload pipeline: a batsman-facing clip becomes ball and bat tracking, pose overlays, speed charts, and coaching priorities.
Open Demo Page