Nearly 100 partner companies are using the edge-to-cloud NVIDIA Metropolis platform to build the AI cities of tomorrow. One partner, Verizon, is working to connect communities by attaching smart cameras powered by NVIDIA to street lights and other urban vantage points.
Verizon’s video nodes leverage Jetson TX1 to collect and analyze data on the furthest edges of a city’s network. This supercomputer on a module accelerates deep learning at the edge, enabling real-time video analytics. All of this edge computing means more efficient, near real-time data analysis, and less high-cost streaming and storing of video over LTE and Wi-Fi networks.
As a result, Verizon is able to track and classify objects such as vehicles, cyclists, and pedestrians, and identify interactions in real time. This provides city officials with a 24/7 data stream of everything from illegal turns to pedestrian movement outside of designated crosswalks and parking lot metrics to create a safer and more efficient city.