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The increasing number of road accidents and their associated consequences necessitate the development of advanced systems for timely detection and analysis. This paper proposes an Internet of Things (IOT)-based Accident Detection and Analysis System that leverages Edge Computing for real-time processing and decision-making. The system integrates smart sensors, edge devices, and cloud infrastructure to create a comprehensive framework for efficient accident detection and analysis. The proposed IOT-based Accident Detection and Analysis System enhances road safety by enabling quick response to accidents and providing valuable insights for preventive measures. The integration of edge computing optimizes resource utilization, minimizes latency, and enhances the overall efficiency of the system. This research contributes to the evolving field of smart transportation systems, addressing the critical need for advanced technologies accident detection and analysis.