As part of our effort to weave AI into the fabric of modern cities, we brought together 150 of the brightest minds in research and academia for the IEEE Smart World NVIDIA AI City Challenge. The two-month-long challenge culminated on August 5 in Silicon Valley with the University of Illinois at Urbana Champaign and the University of Washington, Seattle, winning NVIDIA TITAN Xp GPUs. All 14 teams that worked on Jetson-based inferencing received an NVIDIA Jetson TX2 Developer Kit.
The competition aims to make cities smarter and safer by using technology that’s already ubiquitous — cameras. There are millions of roadside cameras cities can use to extract insights for improving traffic flow and pedestrian safety. Our vision for this challenge is to do for urban traffic video analysis what ImageNet — the groundbreaking image recognition competition — did for general-purpose image analysis, explained Milind Naphade, CTO of NVIDIA AI Cities. “Every transportation department will find value in using these models,” he said.
