Paper Key : IRJ************948
Author: Tanmay Shankar Karangutkar,Mrs.chetali Mhetre, Yash Rajesh Jadhav,Rushikesh Suresh Wakchaure
Date Published: 06 Nov 2024
Abstract
This project focuses on the development of an advanced accident detection system leveraging Internet of Things (IoT) technology. The primary aim is to enhance road safety by utilizing an accelerometer for detecting sudden impacts and determining vehicle orientation. In the event of an accident, the system automatically sends alerts to emergency contacts via SMS, ensuring timely assistance. Additionally, the project incorporates a driver image verification feature, employing image processing techniques to detect signs of alcohol consumption. This is achieved through a camera integrated with a Raspberry Pi, which processes and analyses driver images in real-time. The fusion of these technologies not only facilitates rapid emergency response but also promotes responsible driving behaviours, thereby contributing to overall road safety. The results indicate that the system effectively reduces response times in emergencies and encourages safer driving practices, demonstrating the potential of IoT in creating intelligent systems that can significantly mitigate the consequences of road accidents.