Traffic Safety System Edge AI Computing

被引：0

作者：

Liu, Albert Chun Chen ^{[1
]}

Law, Oscar Ming Kin ^{[1
]}

Liao, Jeremiah ^{[1
]}

Chen, Jeffrey Y. C. ^{[2
]}

Hsieh, Andy Jia En ^{[2
]}

Hsieh, Cheng Hung ^{[2
]}

机构：

[1] Kneron, San Diego, CA 92121 USA

[2] Kneron, Taipei, Taiwan

来源：

2021 ACM/IEEE 6TH SYMPOSIUM ON EDGE COMPUTING (SEC 2021) | 2021年

关键词：

Traffic Safety System; Cloud AI; Edge AI; Smart Gateway; Security and Privacy;

D O I：

10.1145/3453142.3491410

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Due to the surging of mobile data, edge AI is developed to address the cloud limitations, real-time processing, data latency, network bandwidth, and power dissipation. Kneron successfully implements the traffic safety system using the smart edge AI architecture, which applies the smart gateway to bridge the gap between cloud and edge AI, it also establishes the open platform for further integration. New architectures offer additional security and privacy protection through the blockchain approach.

引用

页码：468 / 469

页数：2

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