Fire detection system using YOLOv5 and IoT integration for real-time alerts in safety applications

The rising threat of heat-related and fire incidents underscores the urgent need for advanced thermal and fire detection systems to ensure timely and accurate responses. This report presents a smart fire detection project utilizing the YOLOv5 deep learning model. The project aims to design an early...

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Bibliographic Details

Main Authors:	Ramlee, Ridza Azri, Rozaidi, Muhammad Ikhwan, Zulkifli, Mardzulliana, Osman, Mohamad Hairi, Kayani, Aminuddin Ahmad, Rahman, Ahmad Shukri Fazil, Rusydi, Muhammad Ilhamdi
Format:	Article
Language:	en
Published:	Semarak Ilmu Publishing 2025
Online Access:	http://eprints.utem.edu.my/id/eprint/29380/2/0163417122025111557.pdf http://eprints.utem.edu.my/id/eprint/29380/ https://semarakilmu.com.my/journals/index.php/fluid_mechanics_thermal_sciences/article/view/12280
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