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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41274
Volume:
9 |
2 |
Feb 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This research presents a fire detection and extinguishing robot designed to autonomously identify and extinguish fires using the ESP32-CAM and Arduino Uno. The system uses a Convolutional Neural Network (CNN) model for real-time image processing and classification to determine whether a fire is present. Once detected, the ESP32-CAM sends a signal to the Arduino Uno, which navigates the robot to the fire location. Upon arrival, the Arduino stops the movement and activates the fire extinguisher. The ESP32 continuously loops, sending fire detection signals until the fire is extinguished, after which it stops the signal and turns off the extinguisher. This paper explores the system’s architecture, methodology, benefits, limitations, and potential advancements
KEYWORDS
Publication Date
1/1/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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