Revolutionizing Cricket: Deep Learning Solutions for accurate No-Ball Detection

The identification of no-balls in cricket has seen a tremendous metamorphosis because to the incorporation of innovative technology such as computer vision, augmented reality, and deep learning. This article presents a short yet thorough examination of these technical advancements and their influence on the game. It investigates the use of computer vision algorithms and deep learning models in real-time bowler analysis, as well as the use of augmented reality overlays to improve detection procedures. It also emphasises the continuous need of umpire signals, particularly in high-stakes contests, in safeguarding cricket’s integrity and fairness.