International Journal of Education and Management Engineering (IJEME)
IJEME Vol. 13, No. 6, 8 Dec. 2023
Cover page and Table of Contents: PDF (size: 398KB)
Advancing Decision Review System (DRS) in Cricket: Harnessing Ai for Enhanced Decision Making
Full Text (PDF, 398KB), PP.25-32
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Author(s)
R. Satheeskumar
1,*
Index Terms
AI techniques, Automated decision-making, Ball-tracking systems, Cricket, Decision Review System (DRS), Predictive analytics
Abstract
The Decision Review System (DRS) in cricket has significantly improved decision-making accuracy, but there is immense potential for advancement through the integration of AI techniques. This paper explores the concept of advancing the DRS by harnessing AI capabilities to enhance decision-making in cricket matches. It presents an overview of the current state of the DRS, highlighting its components and limitations. The paper then delves into the possibilities offered by AI, including ball-tracking algorithms, predictive analytics, automated decision-making, and refining technology accuracy. Furthermore, it discusses the challenges associated with data availability, model transparency, and maintaining the integrity of the game. By harnessing AI techniques in the DRS, cricket can benefit from objective and data-driven decision-making, reducing human error and enhancing fairness in the game.
Cite This Paper
R. Satheeskumar, "Advancing Decision Review System (DRS) in Cricket: Harnessing Ai for Enhanced Decision Making", International Journal of Education and Management Engineering (IJEME), Vol.13, No.6, pp. 25-32, 2023. DOI:10.5815/ijeme.2023.06.03
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