Run Computer Vision Models on a RTSP Stream on a NVIDIA Jetson Orin Nano

The Roboflow Inference Pipeline offers a solution for deploying computer vision models on edge devices like the NVIDIA Jetson Orin Nano, providing an alternative to the Hosted Inference API that enables real-time streaming applications. This pipeline supports asynchronous interfaces compatible with multiple video sources, optimizing performance specifically for the Jetson's CPU and GPU architectures through tailored drivers and libraries. The guide details the process of setting up the Jetson device using Jetpack 5.1.1, installing necessary libraries for GPU acceleration, and deploying models using Roboflow's inference pipeline and supervision library. It covers how to implement logic for tracking and counting objects in specific zones within video feeds, utilizing tools such as ByteTrack and Supervision to measure metrics like time spent in defined areas. By leveraging the Inference Pipeline, users can enhance real-time computer vision capabilities without compromising on latency, making it suitable for applications like traffic monitoring at intersections.