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Implementation of Image based Fire Detection System Using Convolution Neural Network

합성곱 신경망을 이용한 이미지 기반 화재 감지 시스템의 구현

  • 방상완 (송원대학교 컴퓨터정보학과)
  • Received : 2017.02.13
  • Accepted : 2017.04.24
  • Published : 2017.04.30

Abstract

The need for early fire detection technology is increasing in order to prevent fire disasters. Sensor device detection for heat, smoke and fire is widely used to detect flame and smoke, but this system is limited by the factors of the sensor environment. To solve these problems, many image-based fire detection systems are being developed. In this paper, we implemented a system to detect fire and smoke from camera input images using a convolution neural network. Through the implemented system using the convolution neural network, a feature map is generated for the smoke image and the fire image, and learning for classifying the smoke and fire is performed on the generated feature map. Experimental results on various images show excellent effects for classifying smoke and fire.

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