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Platform for Missing Person Search and Rescue Systems in Disaster Areas Using AI-Based Drone Video Analysis

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(8), pp.111~120
  • DOI : 10.9708/jksci.2025.30.08.111
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 14, 2025
  • Accepted : August 26, 2025
  • Published : August 29, 2025

Dae-Ho Lee 1 Young-Seok Oh 1 Jong-Cheol Oh 1 Sung-Boo Kang 2 Ho-Young Kwak 3

1제주소방안전본부
2동부소방서, 제주소방안전본부
3제주대학교

Accredited

ABSTRACT

Mountain rescue operations in Korea have steadily increased since 2020, exceeding 10,000 cases annually. Current human-centric search methods show significant limitations in securing a timely "golden hour" response, highlighting the need for a new search model and an advanced system. To address this challenge, this paper proposes a novel search model and platform that uses AI-based drone video analysis with the YOLOv8 model to provide object recognition capabilities integrated into a central control system. Through experiments in diverse environments, the proposed model demonstrated its ability to enhance search and rescue operations at disaster sites, proving its feasibility and potential.

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