A Smart Fire Rescue Bot Using Sensors and Arduino IDE

The Fire Rescue bot is designed to enhance fire detection and suppression in confined spaces. Equipped with advanced sensors, including flame intensity and temperature detectors, the bot navigates through restricted areas autonomously, swiftly identifying fire outbreaks. Its compact design allows it to maneuver efficiently in tight spaces where human intervention may be challenging. Upon detecting a fire, the bot activates a small water pump mechanism to suppress the flames, mitigating potential hazards swiftly and effectively. This integration of detection and suppression capabilities provides a comprehensive solution for fire emergencies in confined environments, improving safety outcomes and minimizing property damage.

Authors

Institutions

Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/icses63445.2024.10763172
Citations
1
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Smart Fire Rescue Bot Using Sensors and Arduino IDE

Nalla Bindu, M. Rashmi, R Ranjitha, Y Kruthika et al.
1 citations
IoT-based Smart Home Systems
0.21
article

A Smart Fire Rescue Bot Using Sensors and Arduino IDE

Nalla Bindu, M. Rashmi, R Ranjitha, Y Kruthika, K. Sathish, Joel B Melwin
article en
1 citations

Abstract

The Fire Rescue bot is designed to enhance fire detection and suppression in confined spaces. Equipped with advanced sensors, including flame intensity and temperature detectors, the bot navigates through restricted areas autonomously, swiftly identifying fire outbreaks. Its compact design allows it to maneuver efficiently in tight spaces where human intervention may be challenging. Upon detecting a fire, the bot activates a small water pump mechanism to suppress the flames, mitigating potential hazards swiftly and effectively. This integration of detection and suppression capabilities provides a comprehensive solution for fire emergencies in confined environments, improving safety outcomes and minimizing property damage.

CMR University (IN)
Openalex Percentile: Top 45%
IoT-based Smart Home Systems
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.