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 | Smart Fire Detection System Using Raspberry Pi |
|---|---|
| ABSTRACT | Fire accidents pose a serious threat to human life, industrial assets, and public infrastructure. Early detection and quick response are essential to minimize damage caused by fire incidents. Conventional fire detection systems rely mainly on smoke detectors and heat sensors that trigger alarms locally. These systems often lack intelligent monitoring, visual confirmation, and automated suppression mechanisms, which may lead to delayed response and increased damage. This project presents a Smart Fire Detection and Suppression System using Raspberry Pi 3. The Raspberry Pi acts as the central controller and continuously monitors environmental conditions using fire-related sensors. When abnormal conditions indicating potential fire are detected, a USB camera connected to the Raspberry Pi captures images of the monitored area. To provide wider monitoring coverage, the camera is mounted on a stepper motor-based rotating mechanism that allows the system to scan different directions. Once fire is detected and confirmed, the Raspberry Pi activates a relay module connected to a DC water pump. The pump automatically sprays water to suppress the fire and prevent it from spreading. The system can also display captured images and system status through a monitoring interface. The proposed solution improves fire detection reliability and response time by integrating sensor monitoring, camera surveillance, and automated fire suppression. This system can be effectively deployed in residential buildings, industries, warehouses, and other fire-prone environments. |
| AUTHOR | G.SRIHAS, V.KRISHNA TEJA, G.SHARMILI KRISHNA, B.SUDHAKAR RAO U.G. Student, Department of ECE, SVIET Engineering College, Nandamuru, Pedana, Andhra Pradesh, India Assistant Professor, Department of ECE, SVIET Engineering College, Nandamuru, Pedana, Andhra Pradesh, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403118 |
| pdf/118_Smart Fire Detection System Using Raspberry Pi.pdf | |
| KEYWORDS | |
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