실시간 영상분석을 이용한 합성곱 신경망 기반의 실내 연기 감지 연구

A Study on Indoor Smoke Detection Based on Convolutional Neural Network Using Real Time Image Analysis

Recently, large-scale fires have been generated as urban buildings have become more and more density. Especially, the expansion of smoke in buildings due to high-rise is an problem, and the smoke is the main cause of death in fires. Therefore, in this paper, the image-based smoke detection is proposed through deep learning-based artificial intelligence techniques to prevent possible damage if existing detectors are not detected. In addition, the detection model was not configured simply through only the smoke data set, but the data set in the haze form was additionally composed together to compensate for the accuracy.