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Waggle platform includes four processors, using Linux operating system, can mix and match arrays with different application-specific sensors
Waggle's breakthrough lies in its "edge computing" hardware and pattern recognition software, which can be "pre-processed" by machine learning before transmitting live image and audio data to the cloud; the Department of Energy pointed out that The wireless environment sensing platform created by Agung Labs is the world's first turnkey edge computing solution, which can significantly reduce Big Data problems by transmitting identified events to the cloud instead of the original data.
In addition, its daughter-board architecture allows any type of sensor array to be mounted on a "sensor-net edge" device, so machine learning can be used to identify almost everything.
Argonne Laboratories held a two-day technical seminar to attract more than 50 engineers interested in the Waggle platform to participate in the industry, including NASA, EPA, Honeywell, and Bosch. Representatives of the University of Texas-Dallas and the Portland, Oregon representative.
The Waggle node can operate in polling or automatic mode (or both), allowing scientists to read from the cloud record, pre-identified data, or instantly poll the wireless node for current State information - either raw or pre-identified.
Atmospheric scientist David Lary of the University of Texas at Dallas, introduced the airborne particulate sensor on the Waggle platform developed at Agung Labs to monitor the air quality of Chattanooga, Tennessee
Waggle is currently used in deforestation research in the Amazon jungle, as well as in improving air quality in manned space missions, as well as in improving our understanding of the environment and human health (eg, the association between pollen and asthmatic diseases).
Waggle's machine learning features can be used to identify birds, cars, bicycles, or various shapes of clouds and other environmental phenomena, such as monitoring the flow of wastewater; and because the platform uses consumer-grade sensors, it can also be used for miniaturization. Cheap ultra-low power wearable IoT device.
(Original title: "The turnkey IoT platform helps remote monitoring in smart cities.")
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3) make storage area clean and green.
4) much lower than vertical one, suit the workshop with low height.
5) high output.
Downstream of China Instrument Network Instrumentation Recently, the Argonne National Laboratory under the US Department of Energy (DoE) has acquired a turn-key Internet of Things (IoT) for remote sensing. Technology breakthrough; This “Waggle†concept—two years of testing in Chicago’s Array of Things smart city project—can finally be introduced into smart industrial and government sensor arrays.