Process and analyze data in real time to improve operational efficiency, resource allocation, and disaster response.
Turn Data into Improved Operational Efficiency and Safety
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.
Faster Response Time
Secure Deployment and Scalability
Deploy AI from the edge to the cloud with a range of appliances, from the NVIDIA® Jetson Nano™ handling a city’s traffic cameras, to an entire fleet of NVIDIA T4 GPUs.
Public Safety
- Disaster response
- Anomaly detection
- Infrastructure protection
Logistics
- Freight tracking
- Route optimization
- Supply forecasting
Traffic Management
- Real time alerts
- Incident detection
- Speed estimation
Build with Metropolis
End-to-End Intelligent Video Analytics
Extract valuable insights from large quantities of video and sensor data with NVIDIA Metropolis for smart cities. Build with a powerful set of software tools, including the DeepStream SDK, NVIDIA TAO Toolkit, pretrained models from the NVIDIA NGC™ catalog, and NVIDIA® TensorRT™. Take advantage of containers to package these applications in a cloud-native format for flexible deployment that can be easily scaled out with the NVIDIA EGX™ platform.
Making our Spaces Smarter with AI-Enabled Video Analytics
A new generation of AI applications is being rolled out with NVIDIA Metropolis to drive incredible operational efficiency and safety gains across a broad range of use cases. Download this free e-book to learn how NVIDIA Metropolis is helping to build smarter spaces around the world.
Deploy AI at the edge with the NVIDIA EGX platform for real-time insights.
Smart Cities Industry News and Stories
Nota Is Transforming Traffic Management Systems With AI
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’s AI-Driven System Boosts Recycling Rates
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 Enhances Traffic Safety with NVIDIA AI Technologies
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.