Futureproof: Crowdcasting AI Sports Coverage
Future User Narrative
Seeing the Tour de France through the eyes of so many who attended this summer was amazing! Crowdcasting AI technology provided unprecedented opportunities to view riders through the thousands of Crowdcast spectator cameras lining the race route. Crowdcast AI instantly parsed together images from thousands of cameras, passing off the feed to the next spectator camera as riders passed by. It works kind of like an inverse zoetrope. The larger the crowd, the better the results generally. We have full course coverage this year, and Crowdcasting has made the routes much safer. Gone are all those outstretched arms and selfie sticks holding the smartphones riders had to avoid in past tours. And, of course, the first-person camera views from riders were terrific!
Technology
AI-enabled, broadcast camera view parsing, mesh highspeed wifi with larger camera units, solar visor battery power augmentation for mesh wifi units, cranium shielding SafeWave technology, fully transparent capable display. Customizable crowd casting allows spectators to watch individual participants of their choice.
Implications
How might AI further enable compelling coverage of sporting events at large venues and over large distances via massive point-of-view crowdcasting?
What companies are well-positioned to provide the needed technologies to make crowdcasting possible?
Related Links
See the remarkable classic Zoetrope at speed work done to promote Forza’s racing game.
Futureproof is a series of occasional provocations illustrating possible future paths for technology and culture. Think postcards from the future.