# Best Edge Devices for Computer Vision

DevFeed: [Best Edge Devices for Computer Vision](<https://devfeed.tech/articles/best-edge-devices-for-computer-vision-64076.md>)

Original publisher: [Read original article](<https://roboflow.com/blog/best-edge-devices-for-computer-vision>)

Author: Timothy M

Published: 2026-08-14T16:52:00Z

Content type: tutorial

Language: en

Sources: [Roboflow](<https://devfeed.tech/sources/roboflow-blog.md>)

Topics: [Computer vision](<https://devfeed.tech/topics/computer-vision.md>), [Jetson](<https://devfeed.tech/topics/jetson.md>), [OpenCV](<https://devfeed.tech/topics/opencv.md>), [DeepStream](<https://devfeed.tech/topics/deepstream.md>), [LiteRT](<https://devfeed.tech/topics/litert.md>), [pc](<https://devfeed.tech/topics/pc.md>), [DuckDB](<https://devfeed.tech/topics/duckdb.md>)

Tags: [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [edge](<https://devfeed.tech/tags/edge.md>), [efficiently](<https://devfeed.tech/tags/efficiently.md>), [fps](<https://devfeed.tech/tags/fps.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [inference](<https://devfeed.tech/tags/inference.md>), [jetson](<https://devfeed.tech/tags/jetson.md>), [performance](<https://devfeed.tech/tags/performance.md>)

## AI overview

A practical guide to selecting edge hardware for computer vision workloads. It compares Jetson devices, industrial PCs, and Raspberry Pi, and explains how camera count, model size, frame rate, latency, and the full video pipeline affect performance. It also outlines deploying and benchmarking a vision application with Roboflow Inference.

## Source excerpt

Explore the best edge devices for computer vision, from NVIDIA Jetson and Raspberry Pi to industrial PCs and Roboflow AI1. Learn how FPS, model size, camera count, and GPU acceleration affect performance, and how Roboflow Inference helps deploy vision models efficiently at the edge.