Pyrosentry: advanced image-based fire localization & extinguishing network
Date
2024-12
Journal Title
Journal ISSN
Volume Title
Publisher
BRAC University
Abstract
With the advancement of technology fire safety is becoming more and more important for the betterment of livelihood. A fire hazard is fatal and dangerous for both household and industrial security. In the case of the detection and mitigation process time is very crucial. Which is why it is important to respond as quickly as possible to reduce the damage and manual functionality to a minimum percentage. In this project we have developed an image-based system that can detect and mitigate fire automatically. An additional feature of this system is that it is practical to implement and can be used in any household or industrial site by slightly modifying existing infrastructure of any fire safety system.
Description
Cataloged from PDF version of final year design project.
Includes bibliographical references (pages 65-67).
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering and Electronic and Communication Engineering, 2024.
Includes bibliographical references (pages 65-67).
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering and Electronic and Communication Engineering, 2024.
Keywords
Fire localization, Automatic fire detection, Fire suppression system, Raspberry pi, Real-time detection, Smart fire extinguishing, Image processing, Convolutional Neural Network (CNN)