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Disaster warning system using Convolutional Neural Network - Focused on intelligent CCTV

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2019, 24(2), pp.25-33
  • DOI : 10.9708/jksci.2019.24.02.025
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 8, 2019
  • Accepted : February 8, 2019
  • Published : February 28, 2019

SeungHyeon Choi 1 Kim, Do Hyun 1 Kim Hyung Heon 2 Kim, yoon 1

1강원대학교
2이노뎁 (주)

Accredited

ABSTRACT

In this paper, we propose an intelligent CCTV technology which is applied to a recent attracted attention real-time object detection technology in a disaster alarm system. Natural disasters are rapidly increasing due to climate change (global warming). Various disaster alarm systems have been developed and operated to solve this problem. In this paper, we detect object through Neuron Network algorithm and test the difference from existing SVM classifier. Experimental results show that the proposed algorithm overcomes the limitations of existing object detection techniques and achieves higher detection performance by about 15%.

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