AI-based video understanding can unlock insights, whether it’s recognizing a cat in your backyard or optimizing customers’ shopping experiences. The NVIDIA Jetson Nano Developer Kit is an easy-to-use, powerful computer that lets you run multiple neural networks in parallel. This makes it a great platform for intelligent video analytics (IVA) applications using the NVIDIA DeepStream SDK. In this course, you'll use JupyterLab notebooks on your Jetson Nano to build projects that extract meaningful insights from video streams through deep learning video analytics.
You'll learn how to:
- Set up your Jetson Nano and (optional) camera
- Build end-to-end DeepStream pipelines to convert raw video input into insightful annotated video output
- Configure multiple video streams simultaneously
Upon completion, you'll be able to build a DeepStream application to identify and classify cars, and count people in a crowded scene.
Prerequisites: Basic familiarity with C
Tools, libraries, frameworks used: DeepStream, TensorRT, Jetson Nano