The aim of the project: collecting 40 million data points from 4,000 data streams from 500 devices scattered throughout the conference, transform it and make it available for display on Google Maps .
According to Faludi, collaborative strategy leader at Digi International and member of the Data Sensing Lab team, the Data Sensing Lab project demonstrates how real-time machine-to-machine (M2M) data can provide insight into customer behaviors and preferences.
Using Digi’s XBee ZigBee modules and ConnectPort wireless gateways to connect the nodes, sensor data is then collected and managed via Device Cloud by Etherios, the platform Digi deployed for managing large populations of devices and connecting devices to applications.
“Google is using the Internet of Things to get a global view of their entire multi-million dollar event as it plays out in real time,” he said. “They’re learning where people are going and when, how loud the applause is for each presentation, where it’s figuratively hot and where it’s literally cool.
“Google and Digi collaborated to create a complete end-to-end solution in just a few weeks, one that’s ready to hand us 40 million fascinating data points.”
Faludi said the sensor network’s 4,000 data streams running over Device Cloud used over 500 XBee modules connecting Arduino based sensors to provide continuous updates on temperature, pressure, light, air quality, motion and noise levels in San Francisco’s Moscone Center during the conference.
Using it, he said the Google Cloud Platform team is gathering, transforming, and analyzing the information, then share heat maps and other data visualizations in collaboration with the Google Maps team.
The Data Sensing Lab crew includes Alasdair Allan of Babilim Light Industries, Kipp Bradford of Kippworks, Rob Faludi of Digi International, Michael Manoochehri, Amy Unruh and Kim Cameron of Google and Julie Steele of O’Reilly Media.
Their aim, he said, was to create project to collect data to answer questions about the physical world in a fun and awe-inspiring way. They are detailing the software involved in this project, in the “Behind the Data Sensing Lab” session at Google I/O.