smartcities

AI delivers powerful new ways to create more sustainable cities, maintain infrastructure, and improve public services for residents and communities. It all starts with the ability to gather data from trillions of sensors and other IoT devices and extract actionable insights through the NVIDIA Metropolis™ platform for Vision AI.

Gain valuable insights from large volumes of video and sensor data with NVIDIA Metropolis for Smart Cities. Build pre-trained models on NGC and NVIDIA TensorRT™ with a powerful set of software tools, including the DeepStream SDK, Transfer Learning Toolkit. Take advantage of containers to package these applications in cloudnative format for flexible deployment that easily scales with NVIDIA EGX.

For real-time insights, deploy
with the NVIDIA EGX Platform AI in the periphery.

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.

Recycleye, an NVIDIA Metropolis partner, looks to give recycling numbers a big boost with its AI-driven system for identifying waste materials. By automating and speeding the movement of materials through sorting systems and identifying them with more precision, Recycleye aims to significantly increase capacity for recycling companies.

Sighthound, an NVIDIA Metropolis partner, is helping cities improve traffic management and pedestrian safety with software and hardware that bring cloud-native solutions for edge data intelligence. Cities are deploying Sighthound’s AI-enabled video detection and analytics application to make roads, intersections, and crosswalks safer and smarter.