International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | IoT-Based Emergency Response for Road Accidents |
|---|---|
| ABSTRACT | Road traffic accidents are a major global health issue, causing about 1.35 million deaths annually, where timely intervention during the golden hour is critical but often delayed due to inefficient accident detection and location identification; this project proposes an ESP32-based Vehicle Accident Detection and Emergency Response System that integrates multi-sensor data fusion, real-time GPS tracking, automated GSM communication, and web-based monitoring to ensure rapid response. The system uses a hierarchical detection algorithm combining MPU6050 accelerometer and gyroscope data for impact and tilt analysis, along with velocity data from a NEO-6M GPS module, to accurately distinguish normal driving from severe accidents using predefined thresholds. Upon detection, it automatically initiates emergency actions including motor shutdown, alert activation, GPS coordinate transmission, and sequential SMS and call notifications to emergency contacts. Supported by fault-tolerant hardware, stable power management, and a secure, interactive web interface, experimental results show high reliability with 97.5% detection accuracy and response times under 500 ms, offering a cost-effective and efficient alternative to expensive commercial vehicle safety systems [1]. |
| AUTHOR | SAMEER B, SHAFIULLA SHARIFF, PAVAN KUMAR D, RAGHAVENDRA T S, SACHIN S, SANJU H P Assistant Professor, Dept. of CSE., Jain Institute of Technology Davangere, Karnataka, India UG Students, Dept. of CSE, Jain Institute of Technology Davangere, Karnataka, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312160 |
| pdf/160_IoT-Based Emergency Response for Road Accidents.pdf | |
| KEYWORDS | |
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