  Cricket is undoubtedly one of the most popular games in this modern era. As
human beings are prone to error, there remains a constant need for automated
analysis and decision making of different events in this game. Simultaneously,
with advent and advances in Artificial Intelligence and Computer Vision,
application of these two in different domains has become an emerging trend.
Applying several computer vision techniques in analyzing different Cricket
events and automatically coming into decisions has become popular in recent
days. In this paper, we have deployed a CNN based classification method with
Inception V3 in order to automatically detect and differentiate waist high no
balls with fair balls. Our approach achieves an overall average accuracy of 88%
with a fairly low cross-entropy value.
