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Pyrosentry: advanced image-based fire localization & extinguishing network

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dc.contributor.advisorAzad, AKM Abdul Malek
dc.contributor.advisorAvash, Ihteyaz Aqaeed
dc.contributor.advisorRafi, Md. Rafiqul Islam
dc.contributor.authorAnjum, Md. Tanveer
dc.contributor.authorZamee, Asif Abdullah
dc.contributor.authorRahman, Md. Toushifur
dc.contributor.authorMozumder, Bishwajit Chandra
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2025-05-07T04:57:37Z
dc.date.available2025-05-07T04:57:37Z
dc.date.copyright2024
dc.date.issued2024-12
dc.descriptionCataloged from PDF version of final year design project.
dc.descriptionIncludes bibliographical references (pages 65-67).
dc.descriptionThis 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.en_US
dc.description.abstractWith 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.en_US
dc.description.degreeB.Sc. in Electrical and Electronic Engineering
dc.description.statementofresponsibilityMd. Tanveer Anjum
dc.description.statementofresponsibilityAsif Abdullah Zamee
dc.description.statementofresponsibilityMd. Toushifur Rahman
dc.description.statementofresponsibilityBishwajit Chandra Mozumder
dc.format.extent143 pages
dc.identifier.otherID 20121048
dc.identifier.urihttp://hdl.handle.net/10361/25866
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectFire localizationen_US
dc.subjectAutomatic fire detectionen_US
dc.subjectFire suppression systemen_US
dc.subjectRaspberry pien_US
dc.subjectReal-time detectionen_US
dc.subjectSmart fire extinguishingen_US
dc.subjectImage processingen_US
dc.subjectConvolutional Neural Network (CNN)en_US
dc.subject.lcshMachine learning
dc.subject.lcshNeural networks
dc.subject.lcshImage processing--Digital techniques.
dc.titlePyrosentry: advanced image-based fire localization & extinguishing networken_US
dc.typeProject Reporten_US

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Thesis & Design Report (Bachelor of Science in Electrical and Electronic Engineering)