Ready to transform everyday video into valuable insight and decision making? The NVIDIA Metropolis platform makes it easy to create robust smart city solutions through deep learning. It’s all powered by proven NVIDIA technology—from NVIDIA Tesla in the data center and the cloud to NVIDIA Jetson at the edge.
The nexus of 5G, IoT, and edge computing is turbocharging network performance. NVIDIA is working with the world’s leading telecommunications companies to build software-defined infrastructure that can meet the demand for real-time data processing at the edge for a variety of smart services. … Read more
Here are some top technical sessions that will help developers understand NVIDIA tools to train, build and deploy AI-based video analytics applications. … Read more
For public safety and health, authorities are recommending the use of face masks and coverings to control the spread of COVID-19. In this post, we show experiments using TLT to train a face mask detection model and then using the DeepStream SDK to perform efficient, real-time deployment of the trained model. … Read more
This technical post is the first in a series that shows you how to use Docker for object detection with NVIDIA Transfer Learning Toolkit (TLT). … Read more
We’ve added major features and enhancements requested by our developer community for the production release of our Vision AI software suite: Transfer Learning Toolkit 2.0 and DeepStream SDK 5.0. Here is an overview of key features available. … Read more
This technical post is the first in a series that shows you how to use Docker for object detection with NVIDIA Transfer Learning Toolkit (TLT). … Read more
Object detection and classification in imagery using deep neural networks (DNNs) and convolutional neural networks (CNNs) is a well-studied area. For some applications, these AI approaches are considered to be reliable enough to use in production with minimal intervention. … Read more
To accelerate research and development of techniques to help make transportation systems smarter, researchers at the annual Computer Vision and Pattern Recognition Conference (CVPR) competed in the fourth annual AI City Challenge. … Read more