ETRI-Knowledge Sharing Plaform



논문 검색
구분 SCI
연도 ~ 키워드


학술대회 Edge Camera based Dynamic Lighting Control System for Smart Streetlights
Cited 8 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
백장운, 최윤원, 이준구, 임길택
International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 2020, pp.732-734
19ZD1100, 대경권 지역산업 기반 ICT융합기술 고도화 지원사업, 문기영
In this paper, we propose a novel dynamic lighting control system for smart streetlights using an edge camera which detects objects for itself using a light weight deep neural network at local. The proposed system consists of an edge camera, a light control unit, and a control server. The proposed system dynamically adjusts the brightness of a dimming module based on event messages from the edge camera. The proposed system maintains low brightness when there are no pedestrians and switches to high brightness when pedestrians appear. And when a pedestrian leaves the service radius, it returns to low brightness. We designed the protocol between the edge camera and the light control unit, and developed the pedestrian detector using a lightweight deep neural network, which provides real-time processing and the high detection accuracy.
KSP 제안 키워드
Control Unit, Deep neural network(DNN), Detection accuracy, High Brightness, Light control, Real-Time processing, Service Radius, camera based, light-weight, lighting control system