A Review Based on Two Wheeler Crash Detection and Fall Analysis System

Sensor-based two-wheeler crash detection systems have emerged as effective and cost-efficient solutions for improving rider safety. By integrating IMU sensors, GPS, GSM, and machine learning techniques, these systems enable accurate accident detection and rapid emergency alerts. Although challenges such as false alarms, network dependency, and real-world validation remain, advances in sensor fusion and edge intelligence can further improve system performance. Overall, the proposed system demonstrates significant potential to enhance emergency response, reduce accident-related fatalities, and contribute to safer transportation.

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