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

Roboflow via YouTube

Overview

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Learn to deploy computer vision models to NVIDIA Jetson Orin edge hardware using Roboflow's Deployment Manager in this 13-minute technical demonstration. Follow along as a Roboflow engineer transforms a fresh NVIDIA Jetson Orin J4012 from raw hardware into a fully operational computer vision system with just a single installation command. Master device provisioning by adding new devices and generating installation commands, then explore remote management capabilities including monitoring device heartbeats, logs, and GPU/CPU resource usage from the cloud. Configure camera streams for RTSP, USB, or Basler cameras and attach Roboflow Workflows for real-time inference processing. Discover how to visualize computer vision model outputs remotely for debugging camera positioning and detection accuracy. Scale your deployment across multiple devices and factories by replicating configurations through the fleet management system. The tutorial covers the complete workflow from initial hardware setup through advanced monitoring and configuration options, making it ideal for developers and engineers looking to implement edge AI solutions in production environments.

Syllabus

- Intro: Running Vision AI on NVIDIA Jetson Orin
- Adding a Device in Deployment Manager
- Adding a Camera Stream & Workflow
- Device Logs & Alerts, Resource Monitoring, and Advanced Configurations

Taught by

Roboflow

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