Real-Time Accident Detection System for Two-Wheelers using ADXL335 Accelerometer and Arduino Platform

This paper presents a cost-effective real-time accident detection system for two-wheelers using an ADXL335 analog accelerometer and Arduino Mega microcontroller. The system continuously monitors acceleration patterns along X and Y axes to detect sudden jerks or impacts indicative of potential accidents. Upon detection of acceleration magnitudes exceeding a predefined threshold of 1.5g, the system activates an audible alert mechanism using a buzzer controlled through an RC timing circuit. The proposed solution addresses the critical issue of delayed accident detection, particularly in remote areas, by providing immediate local alerts. Experimental results demonstrate reliable detection of collision-like events while minimizing false alarms during normal riding conditions. The system achieves a response time of less than 100ms with power consumption suitable for battery operation, making it practical for real-world deployment on two-wheelers.