Abstract

The Decision Review System (DRS) has completely changed the cricket umpiring by using the signal processing techniques which improves decision accuracy. This system uses high speed cameras and microphones, strategically positioned to gather essential visual and audio inputs by which it can record bat-ball interactions and track ball trajectories. Snickometer and Hot Spot technologies analyze synchronized sound waves and thermal images to accurately identify edges and ball contacts. By observing the ball's flight path, Hawk-Eye technology build up LBW rulings. Similarly, motion detection and object tracking techniques analyze the visual data frame by frame and it filters algorithms and also removes noise from auditory sources. This combination of technologies helps us to replicate the on- field events accurately, which provides a strong foundation for umpire rulings. Validation against the actual match situations ensures the system's strength and practical reality. The validation process makes sure the DRS simulation matches what actually happens in cricket matches by checking things like weather and pitch conditions. This helps make the system more accurate and trustworthy. This study shows how DRS connects theory from signal processing with real sports situations, turning technical ideas into practical tools used on the field. In the end, DRS is a great example of how science can make cricket fairer and clearer, giving players, umpires, and fans more confidence in the decisions made during the game.