Litcius/Paper detail

A Novel IoT based Accident Detection and Rescue System

Pranto Karmokar, Saikot Bairagi, Anuprova Mondal, Fernaz Narin Nur, Nazmun Nessa Moon, Asif Karim, Kheng Cher Yeo

20202020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT)56 citationsDOI

Abstract

In South-East Asian cities such as Delhi, Dhaka road accidents are a very common occurrence which brings disaster to human lives as well as infrastructures. Sometimes people cannot reach hospitals prompt after an accident because of the traffic jam, deficit of ambulance, lack of a mechanism to timely propagate information to the appropriate authority. To ensure the safety of lives, this paper proposes an automated IoT based effective accident detection system. Immediately after an incident, the data information is sent to the webserver, instant SMS is forwarded to the victim's acquaintances and also to the relevant authorities such as traffic control room, nearby police station, ambulance service. To evaluate the performance of the system, a simulated road scenario has been designed. The result obtained after a thorough integration and system testing demonstrates that the proposed system not only achieves the stated goal of the research but also can deliver the expected outcome in a rather cost-effective way.

Topics & Concepts

Computer scienceComputer securityInternet of ThingsRoad accidentService (business)Accident (philosophy)Emergency rescueControl (management)Transport engineeringBusinessEngineeringMedical emergencyPhilosophyArtificial intelligenceMarketingMedicineEpistemologyIoT and GPS-based Vehicle Safety SystemsIoT-based Smart Home SystemsFire Detection and Safety Systems