Edge AI and Intelligent Video Analytics for Smart Cities

Smart cities around the world are using AI at the Edge to transform how they manage valuable physical assets and spaces. With video cameras becoming the most widely deployed IoT sensors, AI technology is proving critical for providing real-time actionable insights.


A new generation of AI applications are emerging that combine the scale and capabilities of video with deep learning-powered video analytics. These AI-enabled applications drive incredible operational efficiency and safety gains across many spaces—from streets to toll booths to parking lots.

Having the right video analytics platform can help cut costs and yield rich insights for stakeholders. NVIDIA Metropolis, the foundation for smart cities, provides a platform and application framework that can unleash AI insights using IoT sensors. The NVIDIA Jetson™ AI Edge platform gives stakeholders a cloud-native, scalable, and accelerated solution to securely deploy and manage fleets of devices. Opportunities to increase operational efficiency and public safety, using cameras across a broad range of physical spaces and industries, has never been greater.

Explore real-world examples and learn how AI-enabled video analytics are helping to build smarter and safer cities around the world.


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Keeping traffic flowing with autonomous traffic control

Cities are harnessing AI and edge computing to make roadways safer and more efficient. See how NoTraffic developed an AI-based traffic management platform that optimizes traffic flow based on real-time utilization and demand.

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Building safer roads for growing city populations

Find out how AI at the Edge from SmartCow improves security in private and public premises with automatic license plate recognition, avoiding false positives caused by advertisements and making the process fast and more cost effective.

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Leveraging data to provide operational efficiency

Manually tracking and controlling traffic is no longer efficient and traditional cameras lack the ability to interpret relevant information that enhances traffic management. See how Rebotnix AI-powered systems produce scalable solutions that leverage data analytics to better control traffic and spaces—at a fraction of the cost.

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Revolutionizing Toll Road Systems with Real-Time Video Processing

Current tolling solutions are costly and require the installation of sophisticated in-ground inductive loops and axle counting systems. Learn how INEX provides automatic axle counting, vehicle verification and lane zone tracking and triggering with AI.

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参阅相关产品

900-83489-0080-000 | Jetson TX2 4GB Module

NVIDIA 模块上的系统 - SOM 查看

参阅相关产品

900-13636-0010-000

NVIDIA 模块上的系统 - SOM 查看

参阅相关产品

参阅相关产品

900-83668-0000-000 | Jetson Xavier NX Module

NVIDIA 模块上的系统 - SOM 查看

 

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