In international cricket matches, the Decision Review System (DRS) is the ultimate arbiter of fair play. However, stadium setups rely on multiple high-speed cameras, pitch-side microphones, and expensive tracking software licensing fees—putting these tools out of reach for local club matches. CricsApp is changing this by deploying advanced computer-vision algorithms directly onto consumer smartphones.
The Science of Sound: How UltraEdge Works on a Budget
At the professional level, Snickometer/UltraEdge requires an array of sensitive stump microphones to capture audio and synchronize it with high-frame-rate cameras. CricsApp achieves this by using the smartphone's built-in microphone combined with noise-isolation algorithms.
When a ball passes the bat, our algorithm isolates the sound spectrum in real-time. A bat-ball contact produces a sharp, transient frequency spike (between 1kHz and 3kHz) that differs significantly from wind noise, crowd chatter, or pads friction. By mapping these sound frequencies against the exact video frame index, CricsApp highlights edge spikes immediately.
LBW Ball-Path Projections
Calculating whether a ball would have gone on to hit the wickets requires understanding ball speed, launch trajectory, bounce pitching spots, and deviations (spin or seam movement). Our team has built a single-camera 3D projection model that calculates:
- Pitching Point: The exact coordinates where the ball impacts the clay surface.
- Impact Point: The coordinates where the ball hits the batsman's pads.
- Stump Projection: An extension of the ball's linear and parabolic flight vectors from pitching to impact, projecting the path to determine if it meets the stumps' height and width coordinates.
By leveraging these cloud models, recreational leagues can now resolve disputes and review close decisions with scientific confidence, leveling the playing field for all levels of the game.