Digi International (NASDAQ: DGII) and Etherios, a division of Digi International, today announced a public discussion around the data collected from more than 500 sensor nodes at Google’s developer conference, Google I/O, as part of The Data Sensing Lab project. The sensor data was collected by Device Cloud by Etherios™, a platform for managing large populations of devices and connecting devices to applications, and can be accessed through the Google Cloud Platform. The platforms worked together seamlessly to collect more than 500,000 data points per hour during Google I/O.
“We worked closely with Google to create a complete solution for collecting rich environmental data at Google I/O," said Rob Faludi, chief innovator at Digi International and a member of the Data Sensing Lab team. "Device Cloud by Etherios' collaboration with Google demonstrates how well-designed sensor networks can produce full situational awareness, the kind that modern companies will require to remain competitive going forward. We’re excited to share our results with 5,500 Google I/O developers, along with everyone interested in big data and the Internet of Things.”
The Data Sensing Lab project demonstrates how real-time machine-to-machine (M2M) data can provide insight into customer behaviors and preferences. Utilizing Digi’s XBee ZigBee modules and ConnectPort wireless gateways to connect the nodes, sensor data was collected and managed via Device Cloud by Etherios. The sensor network’s 4,000 data streams running over Device Cloud provided continuous updates on temperature, pressure, light, air quality, motion and noise levels in San Francisco’s Moscone Center during the conference.
“We wanted to collect a lot of data about the ambient environment at Google I/O, and we weren’t sure how to do it at first,” said Michael Manoochehri, a developer with Google. “But Device Cloud made deploying 500 sensors easy. We didn’t have to worry about the things that we were not experts at, which is talking to the nodes. We let Device Cloud handle all of that, and it did a great job. I really enjoyed using Device Cloud because it meshed really well with the application that we were building on the Google Cloud Platform.”
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