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Edge

Why edge computing is critical for the IoT

 

  
Raj Talluri 24/10/2017 00:00:00

While many of today’s always-connected tech devices take advantage of cloud computing, Internet of Things (IoT) manufacturers and application developers are starting to discover the benefits of doing more compute and analytics on the devices themselves.


This on-device approach helps reduce latency for critical applications, lower dependence on the cloud, and better manage the massive deluge of data being generated by the IoT. An example of this trend is the recently announced Nest Cam IQ indoor security camera, which uses on-device vision processing to watch for motion, distinguish family members, and send alerts only if someone is not recognized or doesn’t fit pre-defined parameters. By performing computer vision tasks within the camera, Nest reduces the amount of bandwidth, cloud processing, and cloud storage used versus the alternative of sending raw streams of video over the network. In addition, on-device processing improves the speed of alerts while reducing chances of annoying, recurrent false alarms.

 

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The “CHARIOT IoT Search Index” aims to provide a web location where publications, articles, and relevant documents can be centralized hosted in a well-structured and easily accessed way.

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