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.
