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