IoST: Automated Stumping Detection System for Error-Free Decision Making

Cricket is a world-famous sport, and with the evolution of the Internet of Sports Things (IoST) in the digital era, the game has gained a lot from technology-based decision-making and player analysis. IoST integration has improved precision, reduced human mistakes, and enhanced the overall experience for players and spectators. Nevertheless, intricate decision-making for cricket umpires, especially in stumping situations, continues to cause delays and inconsistencies. Current third umpire review systems are highly dependent on video referrals, which delay the game and can introduce subjective mistakes. In this paper, we introduce an IoST-based Automated Stumping Detection System for Error-Free Decision Making that uses Time-of-Flight (ToF) sensors, accelerometers, red LEDs, and cloud technology to facilitate real-time decision-making. The system accurately determines a batter’s position relative to the popping crease using distance thresholds and provides an "out" or "not out" decision through instant visual feedback. Our IoST-based solution enhances umpiring efficiency by reducing latency, improving accuracy, and ensuring data availability through cloud integration. Rigorous testing verifies the system’s reliability and performance, offering actionable feedback for umpires while decreasing third umpire video referral dependence.