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AI-Driven Smart IoT Security Window Optimization System for Disaster Response

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(6), pp.147~153
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : May 13, 2025
  • Accepted : June 11, 2025
  • Published : June 30, 2025

Dawit Chun 1 Dahee Chun 1 Woohyeon Hwang 2

1태재대학교
2동양미래대학교

Accredited

ABSTRACT

This study presents an AI-integrated IoT security window system that eliminates evacuation barriers through intelligent automation. The tri-level AI architecture processes internal sensors, weather forecasts, and disaster alerts to achieve threat detection 127 seconds earlier than conventional systems with 98.7% accuracy. Upon threat identification, precision mechanisms release window bars within five seconds for unobstructed evacuation. Key features include comprehensive malfunction prevention through multi-sensor validation, AI confidence thresholds, and 24-hour backup ensuring 98% reliability. The dual-mode system maintains functionality during power failures while reducing evacuation time by 89.5%. Real-time monitoring provides continuous readiness, reducing cognitive load during emergencies across diverse residential environments.

Citation status

* References for papers published after 2023 are currently being built.