Traffic Safety System Edge AI Computing

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 br...

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Bibliographic Details
Published in:	2021 IEEE/ACM Symposium on Edge Computing (SEC) pp. 01 - 02
Main Authors:	Chen Liu, Albert Chun, Law, Oscar Ming Kin, Liao, Jeremiah, Chen, Jeffrey Y.C., En Hsieh, Andy Jia, Hsieh, Cheng Hung
Format:	Conference Proceeding
Language:	English
Published:	ACM 01-12-2021
Subjects:	Blockchains Cloud AI Computer architecture Edge AI Logic gates Power dissipation Privacy Real-time systems Safety Security and Privacy Smart Gateway Traffic Safety System
Online Access:	Get full text
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Summary:	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.
DOI:	10.1145/3453142.3491410