NVIDIA DeepStream SDK on Jetson makes it easy for developers to create and deploy AI-based intelligent video analytics (IVA) capabilities in their products. Application developers can use this SDK to rapidly prototype and build products ranging from intelligent cameras to appliances for applications in smart cities, robotics, and industrial automation.
With Jetson’s advanced AI capabilities and rich set of imaging and I/Os, Jetson enables developers to build highly integrated systems that can be deployed at the edge in small form factors for as little as 7.5W.
DeepStream SDK on Jetson uses Jetpack, which includes L4T, Multimedia APIs, CUDA, and TensorRT. The SDK offers a rich collection of plug-ins and libraries, built using the Gstreamer framework to enable developers to build flexible applications for transforming video into valuable insights. DeepStream also comes with sample applications including source code and an application adaptation guide to help developers jumpstart their builds.
Developing IVA applications for complete scene understanding entails creating multimedia processing graphs and orchestrating the dataflow of multiple DNNs working in sync. This can be a complex and time consuming process. This SDK is designed to remove the complexity, so you can focus on application development. By leveraging the Gstreamer plug-in architecture, DeepStream makes it easier than ever to combine image capture, encoding, decoding, scaling, and inference using TensorRT. The architecture lets you utilize all of Jetson’s hardware capabilities to maximize throughput and performance. By leveraging Jetson’s unified memory architecture, DeepStream SDK enables you to reduce memory management overhead and deliver low latency solutions.