System and application of video surrveillance based on edge computing

Sanming PAN; Mingqiang YUAN

doi:10.11959/j.issn.1000-0801.2020177

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System and application of video surrveillance based on edge computing

Topic: Intelligent Edge Computing | 更新时间：2024-06-05

- System and application of video surrveillance based on edge computing
- Telecommunications Science Vol. 36, Issue 6, Pages: 64-69(2020)
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- DOI：10.11959/j.issn.1000-0801.2020177
  CLC： TP393
- Published Online：2020-06，
  
  Published：20 June 2020
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Sanming PAN, Mingqiang YUAN. System and application of video surrveillance based on edge computing[J]. Telecommunications science, 2020, 36(6): 64-69.
DOI：

Sanming PAN, Mingqiang YUAN. System and application of video surrveillance based on edge computing[J]. Telecommunications science, 2020, 36(6): 64-69. DOI： 10.11959/j.issn.1000-0801.2020177.

摘要

随着视频监控应用的普及化和功能应用的多样化，以云计算为核心的集中式数据处理模式越来越难以为继。边缘计算就近对视频数据进行预处理，在带宽、存储、时延等方面表现优异，但仍需要边云协同来提升整体性能。从边云协同的视频监控系统架构出发，提出白盒化的边缘节点设计方案和算法训练、推理思路，最后以森林防火、智慧杆塔为例，阐述边缘计算在视频监控业务上的应用实现和价值。

Abstract

With the popularization of video surveillance systems and the diversification of their applications

traditional data processing methods using cloud computing to handle all the computations are more and more unsustainable.Edge computing pre-processes video data nearby

and performs well in terms of bandwidth

storage

and latency

but edge-cloud collaboration is still required to improve overall performance.The architecture of edge-cloud collaborative video surveillance system was proposed

then an open edge node design scheme and algorithm training and inferencing ideas were proposed.Finally

taking forest fire prevention and smart poles ＆amp; towers as examples

the application realization and value of edge computing in video surveillance services were illustrated.

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references

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