Nota, an NVIDIA Metropolis partner, is using AI to make roadways safer and more efficient with NVIDIA’s edge GPUs and deep learning SDKs.
Nota developed a real-time traffic control solution that uses image recognition technology to identify traffic volume and queues, analyze congestion, and optimize traffic signal controls at intersections.
Using the DeepStream SDK off-the-shelf features, such as line crossing and setting a region of interest, Nota significantly improved how accurately it could examine traffic situations. Nota deployed the solution at a busy intersection in Pyeongtaek, South Korea to analyze traffic flow and control traffic lights in real-time. Nota was able to improve the traffic flow by 25% during regular hours, and by more than 300% during rush hour, saving the city traffic-congestion-related costs and reducing the time spent by drivers stuck in traffic.
Read more in our solution showcase.
