Smart Car Features using Embedded Systems and IoT

TL;DR

This paper presents a prototype of a smart vehicle system integrating IoT and embedded systems to enhance safety through features like crash detection, remote cabin monitoring, and drunk driving prevention.

Contribution

It introduces a comprehensive smart car prototype combining crash alerts, remote sensor monitoring, and alcohol detection, showcasing practical IoT integration in automobiles.

Findings

Real-time crash detection and alert system implemented.

Remote cabin environment monitoring via SMS messages.

Integration of alcohol sensor for drunk driving prevention.

Abstract

There has been a tremendous rise in technological advances in the field of automobiles and autonomous vehicles. With the increase in the number of driven vehicles, the safety concerns with the same have also risen. The cases of accidents and life-threatening injuries have skyrocketed. It has become a necessity to provide adequate safety measures in automobiles. This project aims to develop a prototype for a smart vehicle system that provides real-time location of the vehicle on detection of a crash and alert the police station and relatives of the user, it has a panic button feature for a passenger's safety. We also demonstrate a mechanism for cabin monitoring and an interactive interface between a user and a car, where the user can inquire about the temperature, humidity, and other variables inside the car remotely by sending a text message to the GSM module which is present in the car. The GSM module connects to the Arduino, which fetches the readings from sensors attached to it and sends it back to the user through a text message. We show the integration of MQ3 Alcohol sensor with Arduino for drunk driving prevention.