Year: 2025
Type: article
Abstract: 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 Index Terms--- Fire Detection, ESP32-CAM, Arduino Uno, CNN, Fire Extinguishing System, Robotics, Real-time Processing.
DOI: 10.55041/ijsrem41274
Author: Thombare Roshan
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4407057358