Detecting over the waist no ball in cricket

Abstract

Cricket is one of the most popular games after soccer worldwide. Nowadays, matches are viewed, and shared internationally through live satellite Broadcasting with highest viewership rating [Nandyal, S., & Kattimani, S. L. (2021)]. In this sport every ball is considered precious because it is considered as a game of fine margin. Every ball count and every run counts. Umpires are present to oversee the game and are seen as unique people who can make important decisions. We all know that people tend to make mistakes, but there are technologies being utilized to double-check the umpire system. This allows players to contest umpire decisions and take them to a third umpire who will use technology to rectify the on-field umpire if necessary. Some of the things the third umpire will be able to rectify are front foot no ball, LBW (Leg Before Wicket) are some of them. [R, C, & D, S. (2022)]. The proposed application aims to detect over-the-waist no-balls, a decision that often requires precise judgment with a high margin of error. By analyzing key features extracted from images, the application will determine whether a delivery is a no-ball or a legal ball. This process involves reading the image, identifying crucial features, and analyzing them to reach a conclusion.