Jivan Savior-Car Crash Detection System
Priyanka Akash Avhad,
Lecturer,Department of Computer
Technology
K K Wagh Polytechnic Nashik
India
paavhad@kkwagh.edu.in
Mayuresh Ravindra Kulkarni ,
Student, Department of Computer
Technology
K K Wagh Polytechnic Nashik
India
kulkarnilab72@gmail.com
Pankaj Sopan Gavhare ,
Student, Department of Computer
Technology
K K Wagh Polytechnic Nashik
India
pankajgavhare04@gmail.com
Nikhil Sanjay Padvi,
Student, Department of Computer
Technology
K K Wagh Polytechnic Nashik
India
padvinikhil08@gmail.com
Kartiki Ganesh Hasnale,
Student, Department of Computer
Technology
K K Wagh Polytechnic Nashik
India
kartikihasnale@gmail.com
Abstract—The Jivan Savior - Crash Detection System for Car is a mobile application designed to enhance road safety by detecting vehicle crashes in real-time and providing immediate emergency assistance. The system utilizes built-in vehicle and smartphone sensors, including accelerometers, gyroscopes, and GPS, to monitor sudden changes in motion, speed, and direction, which may indicate an accident. Upon detecting a crash, the system automatically sends emergency alerts to designated contacts and emergency services, including critical details such as the accident's location and severity. Existing crash detection solutions, such as in-built vehicle telematics systems and smartphone-based applications, often suffer from limitations, including high costs, hardware dependencies, and detection inaccuracies. The Jivan Savior system addresses these challenges by integrating advanced machine learning algorithms for improved accuracy, offering a cost-effective and userfriendly solution that works across various car models and mobile devices.
Key features of the system include real-time crash detection, automated emergency notifications, post-crash data logging, battery optimization, and offline functionality for areas with poor network coverage This project aims to significantly reduce emergency response times, potentially saving lives and minimizing accident-related injuries.
Keywords- Crash Detection, Emergency Alerts, Sensor Integration, Real-Time Monitoring, Vehicle Safety
