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IoT-based Accident Detection and Emergency Alert System for Motorbikes

Saad Rehman, Shaheryar Ahmad Khan, Arshia Arif, Umar Shahbaz Khan

202122 citationsDOI

Abstract

This paper proposes the design of an accident detection system for motorcycles that notifies the emergency contact of the injured motorcycle driver about their precise location so that necessary medical help can be provided timely. The proposed system is based on a tilt sensor that calculates the inclination of the motorcycle and then transmits notification to the concerned people through SMS and GPRS via an online server using a GSM module. The main contribution of this paper is that the developed system has extensively been tested in real time scenario and data has been collected from ten different bikes to determine an optimum tilt angle. Moreover, crash tests have also been performed. The system has a detection rate of 97.33%.

Topics & Concepts

General Packet Radio ServiceComputer scienceGSMCrashTilt (camera)Real-time computingNotification systemInternet of ThingsSimulationEmbedded systemTelecommunicationsComputer networkEngineeringOperating systemWirelessMechanical engineeringIoT and GPS-based Vehicle Safety SystemsContext-Aware Activity Recognition SystemsIoT-based Smart Home Systems