IOT Based Vehicle Accident Detection and Tracking System Using GPS Modem by IRJET Journal

International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 04 | Apr 2024

p-ISSN: 2395-0072

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IOT Based Vehicle Accident Detection and Tracking System Using GPS Modem Srushti P. Bochare1, Ashvini G. Feran2, Shraddha S. Naswale3 , Pallavi S. Satao4, Mrs. Nanda Y. Mhaisagar5 1Student of Electronics and Telecommunication, Mauli College of Engineering and Technology, Shegaon-

444203(Maharashtra)India

2Student of Electronics and Telecommunication, Mauli College of Engineering and Technology, Shegaon-

444203(Maharashtra)India

3Student of Electronics and Telecommunication, Mauli College of Engineering and Technology, Shegaon-

444203(Maharashtra)India

4Student of Electronics and Telecommunication, Mauli College of Engineering and Technology, Shegaon-

444203(Maharashtra)India

5 Assistant Professor at Electronic and Telecommunication, Mauli College of Engineering and Technology ,Shegaon-

444203(Maharashtra) India ---------------------------------------------------------------------***--------------------------------------------------------------------1. INTRODUCTION Abstract – This research presents an innovative approach to enhance road safety with the development of an Internet of Things (IoT)-based Vehicle Accident Detection and Live Tracking System. The system utilizes the ESP32 microcontroller, Firebase cloud platform, tilt sensor, and a 3-axis sensor for real-time detection and response to vehicular accidents. The ESP32 microcontroller acts as the central processing unit, seamlessly integrating with both the tilt sensor and the 3axis sensor. The tilt sensor detects sudden changes in the vehicle's orientation, indicating a potential accident, while the 3-axis sensor captures acceleration and deceleration data for precise accident detection. When a potential accident is detected, the system initiates immediate live tracking through the Firebase cloud platform. Firebase enables real-time communication between the vehicle and a designated monitoring center, facilitating swift emergency response measures. Utilizing Firebase's robust features ensures the security and integrity of sensitive information. The live tracking feature enables authorities to monitor the vehicle's location and condition in realtime, enabling prompt intervention and assistance, thereby reducing emergency response times and improving road safety. Implementation of this IoT-based system has the potential to revolutionize accident detection and response mechanisms, creating a safer transportation environment. The combination of ESP32, Firebase, tilt sensor, and 3-axis sensor technologies offers a robust and scalable solution for mitigating the impact of vehicular accidents on both lives and property.

The Internet of Things (IoT) has emerged as a transformative technology, revolutionizing the way we connect and interact with the world around us. By interconnecting embedded computing devices within the existing internet infrastructure, IoT offers unparalleled levels of connectivity, enabling seamless communication between devices, systems, and services. This connectivity extends far beyond traditional machine-to-machine (M2M) communications, encompassing a diverse range of protocols, domains, and applications. In virtually every field of automation, IoT has paved the way for innovative solutions and advanced applications, unlocking new possibilities for efficiency, productivity, and convenience. From optimizing energy distribution through Smart Grids to revolutionizing healthcare with heart monitoring implants, IoT has become an integral part of modern life. One particularly promising application of IoT technology lies in the realm of vehicle safety. With the proliferation of smart objects and embedded sensors, it is now possible to develop sophisticated systems for accident detection and tracking. Our project, "IoT BASED VEHICLE ACCIDENT DETECTION AND TRACKING SYSTEM USING GPS MODEM," represents a pioneering effort in this domain, leveraging IoT principles to enhance road safety and emergency response capabilities. At the heart of our system is the NODE MCU, serving as the central hub for communication and coordination. When activated, the system provides a visual indication of power supply through an LED indicator, signalling its readiness to Vibration sensors play a crucial role in accident detection, promptly sensing obstacles or collisions and triggering interrupts to the Raspberry Pi. This real-time data is then processed and analysed, facilitating swift and accurate decision-making in response to emergencies. Meanwhile, the GPS modem enables precise location tracking, allowing

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