Abstract

Smart betting terminals operate as regulated high-volume transactional systems that serve lotteries and sports wagering markets. The systems need to respond right away while fully protecting data. They also must continue running without interruption. The current terminal systems use cloud processing to validate tickets and detect anomalies and analyze devices, which causes delayed operations and unstable network connections. Edge Artificial Intelligence solves this problem by enabling local inference operations that process data directly on-devices. The research presents a complete review of embedded inference systems, edge computing, hybrid systems, predictive maintenance, and systems engineering for regulated environments. The research methodology uses a structured approach to locate relevant studies. These sources are screened and combined into a single analysis. The research evaluates operational problems in smart betting terminals through Edge Artificial Intelligence solutions, which enhance system reliability, security, and response times. The research proposes an Edge Artificial Intelligence framework, which organizes findings to direct future system development. The research study reveals current knowledge deficiencies while showing potential directions for academic and industrial advancement.

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