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Distributed AI embedded cluster for real-time video analysis systems with edge computing

Authors :
Li Wei
Han Zhiyuan
Shen Jian
Luo Dandan
Gao Bo
Xie Jin
Source :
MATEC Web of Conferences, Vol 355, p 03036 (2022)
Publication Year :
2022
Publisher :
EDP Sciences, 2022.

Abstract

Herein, on the basis of a distributed AI cluster, a real-time video analysis system is proposed for edge computing. With ARM cluster server as the hardware platform, a distributed software platform is constructed. The system is characterized by flexible expansion, flexible deployment, data security, and network bandwidth efficiency, which makes it suited to edge computing scenarios. According to the measurement data, the system is effective in increasing the speed of AI calculation by over 20 times in comparison with the embedded single board and achieving the calculation effect that matches GPU. Therefore, it is considered suited to the application in heavy computing power such as real-time AI computing.

Details

Language :
English, French
ISSN :
2261236X
Volume :
355
Database :
Directory of Open Access Journals
Journal :
MATEC Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.9fbeb765c35e419fa8d9ae2e3c13673b
Document Type :
article
Full Text :
https://doi.org/10.1051/matecconf/202235503036