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How to Deploy Computer Vision Models to Jetson Orin Nano

Blog post from Roboflow

Post Details
Company
Date Published
Author
Paul Guerrie
Word Count
1,422
Language
English
Hacker News Points
-
Summary

NVIDIA's Jetson Orin line, particularly the Jetson Orin Nano, is highlighted for its computational efficiency and integrated GPU, making it comparable to Raspberry Pi but with enhanced capabilities. The article explores deploying computer vision models on the Jetson Orin Nano using Roboflow, a platform that facilitates data annotation, model training, and deployment across various devices. The tutorial guides users through setting up a rail yard instance segmentation model to detect various objects, leveraging Roboflow's Inference Server and Docker images optimized for the Jetson. The combination of Jetson Orin Nano's compact, energy-efficient hardware with Roboflow's versatile software platform enables powerful edge computing applications in diverse environments, from home security to industrial monitoring.