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학술대회 Prevention of Safety Accidents through Artificial Intelligence Monitoring of Infants in the Home Environment
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저자
이예진, 김계경, 김재홍
발행일
201910
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.474-477
DOI
https://dx.doi.org/10.1109/ICTC46691.2019.8939675
협약과제
19PS1300, 복합생활공간 내 국민체감형 생활안전 서비스를 위한 지능형 플랫폼 개발, 김계경
초록
With the recent focus on the safety of living in the home environment, research is underway to monitor and to prevent living safety problems using the artificial intelligence (AI) technologies and Internet of Things (IoT). Especially, there are many accidents involving infants and children who are vulnerable to safety account such as suffocation, high fever or fall accidents during sleep. Therefore, intelligent infant monitoring system are required to alert protector in the event of a dangerous situation. In this paper, infants monitoring system using intelligent analysis on the basis of CNN (Convolutional Neural Network) has proposed that judge infant's sleep condition by detecting infant's body and face. We have conducted experiments to evaluate the performance of infant monitoring system and achieved face detection of 94.46%, body detection of 86.35% with 31,000 images on ETRI and virtual dataset.
키워드
Deep Learning, Home Safety, Intelligent Infant Monitoring System, Object Detection
KSP 제안 키워드
Convolution neural network(CNN), Face detection, Fall accidents, Home environment, Intelligent analysis, Internet of thing(IoT), Monitoring system, Object detection, Safety accidents, artificial intelligence, body detection