Advancing Decision Review System (DRS) in Cricket: Harnessing Ai for Enhanced Decision Making
Автор: R. Satheeskumar
Журнал: International Journal of Education and Management Engineering @ijeme
Статья в выпуске: 6 vol.13, 2023 года.
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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.
AI techniques, Automated decision-making, Ball-tracking systems, Cricket, Decision Review System (DRS), Predictive analytics
Короткий адрес: https://sciup.org/15018682
IDR: 15018682 | DOI: 10.5815/ijeme.2023.06.03
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