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Breakthrough Wireless Sensing System Attracts Industry and Government Agency Interest


David Lary, an atmospheric scientist at the University of Texas-Dallas, discusses air particulate sensors being integrated in the Argonne-developed Waggle platform in Chattanooga, TN.

In the two years since researchers at Argonne National Laboratory released Waggle, a wireless environmental sensing platform that combines lightweight sensors with hardware and software for edge computing within a portable node or device, the platform has become very popular among research groups, industry, and government entities.

Credit: Wes Agresta/Argonne National Laboratory

Waggle, a wireless environmental sensing platform that combines environmental lightweight sensors with hardware and software for edge computing within a portable node or device, was developed by researchers at Argonne National Laboratory (ANL) about two years ago and it has quickly become very popular among research groups, industry, and government entities.

Edge computing enables Waggle nodes to process image and audio data directly inside the sensor node through machine learning. Each node collects and transmits environmental data wirelessly via the cloud, and by distributing multiple nodes across sites, users can access environmental data in near-real time, helping improve the efficiency of research and discovery.

Waggle's edge computing capability and machine-learning techniques enable the system to identify birds, cars, bicycles, and types of clouds, giving researchers holistic data about a node's surroundings as well as environmental data.

ANL's Pete Beckman says this capability is unique, and will be the future of intelligent sensing platforms.

From Argonne National Laboratory
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Abstracts Copyright © 2017 Information Inc., Bethesda, Maryland, USA


 

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