IOT-Powered Accident Identification and Reporting System for Intelligent Urban Communities

Sambangi Mounika

Department of ECE, Sankethika Vidya Parishad Engineering College,

Vishakapatnam -530041 mounikasambangi88@gmail.com

Mrs A.Bhanu Priya

Department of ECE, Sankethika Vidya Parishad Engineering College,

Vishakapatnam -530041 bhanupriya.ece@svpec.edu.in

Iragattapu Santosh

Department of ECE, Sankethika Vidya Parishad Engineering College,

Vishakapatnam -530041 santhoshveeragattapu@gmail.com

Asapanna yeshwanth

Department of ECE, Sankethika Vidya Parishad Engineering College,

Vishakapatnam -530041 asapannayaswanth75@gmail.com

Rajana Srinivasa Dileep

Department of ECE, Sankethika Vidya Parishad Engineering

College, Vishakapatnam -530041

 srinurajana23@gmail.com

Peddada Eswari Leelavathi

Department of ECE, Sankethika Vidya Parishad Engineering

College, Vishakapatnam -530041

 luckyleela073@gmail.com

Abstract — In rapidly urbanizing cities, road traffic accidents and fire crises are important causes of avoidable fatalities, where outcomes are greatly worsened by delayed identification and response. The design and implementation of an IoT-enabled fire and accident detection system for smart-city applications are presented in this study. Real-time detection of abnormal vehicle conditions and fire occurrences by the system can result in rapid local alerts and remote messages to specific users. In order to reduce additional risk and harm, it also starts preventive measures as soon as it is detected. The system is built to function consistently and dependably in real-world circumstances. The system's promise as an affordable, scalable, and effective safety solution for improving emergency response and lowering mortality in contemporary urban areas is shown by experimental findings that show efficient real-time detection and timely communication.

Keywords—IoT, Accident Detection, Fire Monitoring.