Design and Validation of an Edge-AI Fire Safety System with SmartThings Integration for Accelerated Detection and Targeted Suppression

Design and Validation of an Edge-AI Fire Safety System with SmartThings Integration for Accelerated Detection and Targeted Suppression

This study presents the design and validation of an integrated fire safety system that leverages edge AI, hybrid sensing, and precision suppression to overcome the latency and collateral limitations of conventional smoke detection and sprinkler systems. The proposed platform features a dual-mode sen...

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Bibliographic Details
Main Authors: Seung-Jun Lee, Hong-Sik Yun, Yang-Bae Sim, Sang-Hoon Lee
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
edge AI fire detection
residue-free clean suppression agent
hybrid smoke—heat sensing
motorized 360° suppression nozzle
energy recovery ventilation (ERV)
SmartThings Edge integration
Online Access:https://www.mdpi.com/2076-3417/15/14/8118
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https://www.mdpi.com/2076-3417/15/14/8118

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