AI Umpire Using Deep Learning Strategies
Abstract - The system enables real-time detection and accurate classification of key cricket events such as sixes, no balls, wide, and outs. It uses advanced technologies like sensors, cameras, and AI algorithms to ensure high precision in identifying and analyzing these moments. By significantly reducing human error, it enhances the accuracy of on-field decisions and supports consistent and fair gameplay. This not only promotes unbiased outcomes but also strengthens the integrity of the sport. Additionally, it boosts player confidence by ensuring that decisions are trustworthy and based on data. Spectators also benefit, as the system creates a more exciting and reliable viewing experience. Overall, it contributes to a fairer, more transparent, and enjoyable game for everyone involved. Key Words: Real-time detection, accurate classification, fair gameplay, and advanced technology drive this cricket decision system.
Authors
- M. Meena (ORCID: https://orcid.org/0000-0003-4536-3967)
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2025-04-22
- DOI
- https://doi.org/10.55041/ijsrem44970
- Primary Topic
- Machine Learning and Data Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00