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Disaster Detection Framework for Smart Cities: An AI YOLOv8 and IoT Approach

Authors:
Hossam Kamel

Keywords: Smart Cities; Disaster Detection; Fire Detection; Flood Detection; IoT; YOLOv8; Artificial Intelligence (AI); Machine Learning (ML); Raspberry Pi.

Abstract:
Disaster detection is vital for smart city resilience and public safety. This paper presents a framework for detecting fire and flood incidents using the You Only Look Once version 8 (YOLOv8) algorithm on a Raspberry Pi Internet of Things (IoT) device, which transmits data to IoT operation center. An initial experiment using a laptop and mobile phone demonstrated the effectiveness of machine learning in fire detection.

Pages: 16 to 23

Copyright: Copyright (c) IARIA, 2025

Publication date: April 6, 2025

Published in: conference

ISSN: 2308-3727

ISBN: 978-1-68558-251-7

Location: Valencia, Spain

Dates: from April 6, 2025 to April 10, 2025