Year: 2024
Type: article
Abstract: : This project proposed "Android-based accident detection and smart rescue with real-time location tracking" toreduce the response time and increase the chance of survival in a car accident. The system uses the smartphone's accelerometer and gyroscope sensors to detect rapid, unusual movements thatmay indicate an accident. When detected, it immediately sendsan alert to the emergency contact with the location of the incident and provides instant location to assist the rescue team.The front-end of the system is built using Flutter to provide a user-friendly interface, while the back-end is built using SpringBoot to manage files, user accounts, and reports. Firebase Cloud Messaging (FCM) integration is used for push notifications to ensure timely communication. With powerful data analytics, continuous location tracking, and timely notifications, the system demonstrates the ability of mobile devices to shorten emergency response times and save lives. The report outlines the design process, methodology, testing, and recommendations for future improvements, such as machine learning, to improve the accuracy of the nature sensing layer
Authors: Prathmesh Tangade, Digambar Bhangale, Aryan Varma, Yogita Dose, Dr. Vinod Wadne
Institution: JSPM University
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405873169