Wednesday September 21, 2016

30 Billion Images a Second: Tomorrow’s AI Cities Focus on Intelligent Video Analytics

Thirty billion images a second. One hundredآ trillion images an hour. That’s how much content will be captured by 2020 by surveillance cameras across the globe. These one billion cameras آ— twice today’s number آ— will be at traffic intersections, transit stations and other public areas, helping to make our cities safer and smarter. They’ll be in retail stores, service centers, warehouses, and more, gathering information to boost sales, track inventory, improve service. But how to make sense of this staggering number of pixels? Traditional methods of video processing آ— using human monitoring or hand-crafted computer vision algorithms آ— aren’t up to the task. But a branch of artificial intelligence called deep learning offers a powerful, scalable method for extracting the most out of these vision systems. Deep learning-powered AI computers will be able to watch and listen آ— and understand what’s on screen آ— at phenomenal speeds. They’ll pull together massive datasets from disjointed locations, transforming pixels into insight. The result will be AI Cities. We’ll be able to recognize when there’s an accident, a pet or child is lost, or someone is experiencing harm. An AI City will be a thinking robot, with many eyes, programmed to help keep people safe.

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