Deploy Vision Models to NVIDIA Jetson Orin in Minutes | AI at the Edge скачать в хорошем качестве

Deploy Vision Models to NVIDIA Jetson Orin in Minutes | AI at the Edge

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/devi... Register for a future session: roboflow.com/webinar