The IoT-Enabled Super Bowl of Tomorrow

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Real-Time Player Performance Statistics

To say sports fans are into stats is an understatement. Entire news organizations and blogs are dedicated to evaluating players' performance and making projections for the season or a particular game. Let's not forget the time and effort that fans put toward fantasy leagues.

To fuel this performance frenzy, IoT stadiums of the future could equip players with wearable fitness gear. By tracking factors such as speed, agility and even the spiral on a quarterback's throw, stadiums could deliver even more detailed performance metrics to sports fans. Is a wide receiver running slower than average? Is a rookie player outperforming the fan favorite? Collated, this data could be packaged into compelling and engaging fuel for fan discussions, betting and of course, Fantasy Football.

If there is one thing sports fans understand, it's the value of data. No statistic is too obscure for your diehard Fantasy Football junkie and, as a result, there is no more fitting technology for the professional sports industry than the Internet of Things (IoT) – whether they know it or not.

The applications for IoT in stadiums range from the seemingly mundane (Internet-connected concession stands) to the truly sci-fi (Internet-connected players). However, in order for the technology to take home a Super Bowl ring of its own one day, the industry needs to embrace the technologies' glamorous applications, along with the applications currently only making engineers drool.

The following slideshow, provided by wot.io, a data service exchange for connected device platforms, lays out the best of both worlds, the sexy and the practical, in order to make the case that the smart stadium of tomorrow has benefits for fans, teams and maintenance staff alike. With Gartner predicting that there will be 26 billion connected devices by 2020, it's a safe bet that some of these will be landing in your local sports stadium, so it's about time we start figuring out what that will look like.


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