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구분 SCI
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학술대회 Edge Camera System Using Deep Learning Method with Model Compression on Embedded Applications
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저자
최윤원, 백장운
발행일
202001
출처
International Conference on Consumer Electronics (ICCE) 2020, pp.1-4
DOI
https://dx.doi.org/10.1109/ICCE46568.2020.9043133
협약과제
19ZD1100, 대경권 지역산업 기반 ICT융합기술 고도화 지원사업, 문기영
초록
This paper proposes an edge camera system using a compressed deep learning model for enhanced Video surveillance Management System of Smart City that analyzes existing recorded video. The proposed edge camera at the end terminal of the Video Surveillance Management System send the analyzed image, information and warning to the central system according to the situation analysis based on the information obtained by compressed deep learning for low memory and real-time operation in embedded system. We tested with edge camera installed in street lamp and confirmed stable operating performance and high recognition rate compared to existing system.
KSP 제안 키워드
Camera system, Deep learning method, Embedded applications, Embedded system, Learning model, Management system, Model compression, Operating performance, Recognition rate, Smart city, deep learning(DL)