Earticle

초록

영어

Fires are one of the most frequent natural disasters in the world. To minimize the damage from the fire, it is important to build surveillance systems for detecting fire with fire detection algorithms, and a variety of deep learning networks have been proposed with sufficiently high accuracy. However, regardless of the performance of the existing solutions, such systems are bound to a fixed environment so that its coverage is limited. Therefore, in this paper, we propose a fire detection system using mobile robots so as to overcome this limitation. Based on a freely moving robot driving system, the proposed system consist of IoT devices, edge cloud computing, and fire detection algorithm. We hope our proposed system offers useful insights to building practical mobile fire detection systems for minimizing the damages caused by fire.

목차

Abstract
I. INTRODUCTION
II. FIRE DETECTING MOBILE ROBOT
A. System Architecture
B. Edge cloud system
C. Fire Detection Algorithm
D. Inference Test
III. CONCLUSION AND FUTURE WORKS
ACKNOWLEDGMENT
REFERENCES

키워드

저자

• Taeyong Kim [ dept. of Electrical and Computer Engineering Inha University ]
• Minwoo Cho [ dept. of Electrical and Computer Engineering Inha University ]
• Taekwang Ryu [ dept. of Electrical and Computer Engineering Inha University ]
• Taein Kim [ dept. of Electrical and Computer Engineering Inha University ]
• Bowon Lee [ dept. of Electrical and Computer Engineering Inha University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004