Development of Accident Alert Bot System Using Raspberry Pi 3B+

Abstract

This paper presents the design and implementation of an IoT-based accident detection and alert system using Raspberry Pi 3B+. The system integrates a vibration sensor, GPS module, and Telegram-based communication to enable real-time accident notification. To address limitations of single-sensor systems, the proposed framework incorporates threshold-based validation and discusses the integration of multi-sensor fusion for improved reliability. Experimental evaluation is conducted to analyze system performance in terms of detection accuracy, response time, and false alarm rate. Results demonstrate that the system can generate alerts within an average latency of 3–5 seconds. The proposed system provides a low-cost and scalable solution for real-time accident monitoring, with future scope for machine learning-based prediction and cloud integration.