@inproceedings{90c1550540ff4b3db743dda66df5850d,
title = "Advancing Fire Safety in Hong Kong Buildings: An IoT-Based Fire Accident Indication System",
abstract = "This study focuses on the development of an innovative fire accident indication system for buildings in Hong Kong, leveraging the Internet of Things (IoT) technology. The proposed system integrates IoT devices and sensors to enable real-time monitoring, early fire detection, and prompt notification of fire incidents. By utilizing the power of interconnected devices and data analytics, the system enhances fire safety measures, improves emergency response time, and minimizes potential damage. The research considers the unique characteristics and challenges of Hong Kong's urban environment, including high population density and complex building structures. The outcomes of this study contribute to advancing fire safety standards and emergency management practices in Hong Kong, with potential applications in other regions facing similar circumstances.",
keywords = "Algorithm, Arduino, Internet of things (IoT), Raspberry Pi, Smart Building Monitoring System",
author = "Lee, {C. C.} and Lam, {S. K.} and Kwong, {W. K.} and Lau, {W. K.} and Tung, {C. N.} and Cho, {Y. M.} and Li, {C. Y.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Symposium on Product Compliance Engineering - Asia 2023, ISPCE-AS 2023 ; Conference date: 03-11-2023 Through 05-11-2023",
year = "2023",
doi = "10.1109/ISPCE-ASIA60405.2023.10365872",
language = "English",
series = "ISPCE-AS 2023 - IEEE International Symposium on Product Compliance Engineering - Asia 2023",
booktitle = "ISPCE-AS 2023 - IEEE International Symposium on Product Compliance Engineering - Asia 2023",
}