Deploy and Manage Vision AI on NVIDIA Jetson Orin

In this video, Roboflow Engineer Riaz Virani demonstrates how to provision, deploy, and manage computer vision applications on edge hardware using Roboflow Deployment Manager. Starting with a fresh NVIDIA Jetson Orin J4012, Riaz shows how to go from raw hardware to a fully active computer vision stream in just a few minutes using a single install command. = What you’ll learn = Device Provisioning: How to add a new device and generate the installation command. Remote Management: Monitoring device heartbeats, logs, and resource usage (GPU/CPU) from the cloud. Stream Configuration: Setting up RTSP, USB, or Basler cameras and attaching a Roboflow Workflow for inference. Live Visualization: Viewing the output of your computer vision model remotely to debug camera positioning or detections. Fleet Scaling: How to replicate configurations across devices to manage deployments across multiple factories. = Chapters = 00:00 - Intro: Running Vision AI on NVIDIA Jetson Orin 01:50 - Adding a Device in Deployment Manager 04:40 - Adding a Camera Stream & Workflow 08:00 - Device Logs & Alerts, Resource Monitoring, and Advanced Configurations = Resources = Documentation: https://docs.roboflow.com/deploy/device-manager Register for a future session: roboflow.com/webinar