Cricket teams often lack access to affordable and easily deployable tools for tracking ball movement and generating performance statistics. Traditional methods rely on expensive equipment, manual data entry, and specialized personnel, making comprehensive match analysis inaccessible for many teams and individual players. This limits their ability to make data-driven decisions for performance improvement and strategic planning.

Fulltrack AI provides an AI-powered ball-tracking and analytics platform for cricket, accessible through a smartphone or tablet. The system automates the collection of performance data, including ball speed, swing, spin, pitch maps, and decision review system (DRS) for LBW decisions. By eliminating the need for specialized equipment and manual data entry, Fulltrack AI enables teams and coaches to capture and analyze match data in real-time, facilitating data-driven insights into player performance and match strategy. Auto-clipped videos are generated to remove dead time and allow for faster review of sessions.

Automated ball tracking using computer vision algorithms and smartphone camera input

Real-time data capture of ball speed, swing, spin, and pitch location

Automatic video clipping of key events, removing dead time for efficient review

Decision Review System (DRS) functionality for LBW decisions

Cloud storage for performance data and video highlights

Integrated sharing tools for distributing session data with teammates and coaches

Batting highlights organized by line and length

The primary target audience includes cricket teams, coaches, individual players, and cricket academies seeking affordable and accessible performance analytics.