https://github.com/seeed-studio/node-red-contrib-ml
Get started with AI vision at the edge with no coding experience at all!
https://github.com/seeed-studio/node-red-contrib-ml
Last synced: about 1 year ago
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Get started with AI vision at the edge with no coding experience at all!
- Host: GitHub
- URL: https://github.com/seeed-studio/node-red-contrib-ml
- Owner: Seeed-Studio
- License: mit
- Created: 2022-05-14T03:13:28.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2025-01-08T09:13:52.000Z (over 1 year ago)
- Last Synced: 2025-03-30T09:05:55.557Z (about 1 year ago)
- Language: JavaScript
- Homepage:
- Size: 5.32 MB
- Stars: 70
- Watchers: 16
- Forks: 32
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# No-Code Edge AI Vision with Node-RED
Now you can get started with AI vision at the edge in just **THREE STEPS** with no coding experience at all!
## Prerequisites
- NVIDIA Jetson device
## Getting Started
**Note:** For this guide, we have used a [reComputer J1010 with Jetson Nano](https://www.seeedstudio.com/Jetson-10-1-A0-p-5336.html) running [NVIDIA JetPack 4.6.1](https://developer.nvidia.com/jetpack-sdk-461)
### Step 1 - Install
Clone this GitHub repo and run the installer
```sh
git clone https://github.com/Seeed-Studio/node-red-contrib-ml
cd node-red-contrib-ml && sudo ./docker-ubuntu.sh
```
### Step 2 - Configure
Open a web browser, type `jetson_device_ip_address:1880` on the search box, drag and drop blocks and connect them as follows
### Step 3 - Deploy
Press **DEPLOY** to see it in action!
## Application 1
https://user-images.githubusercontent.com/20147381/170643573-2a2d70c2-7e0b-430b-b66c-ee56ade3116f.mp4
## Application 2
https://user-images.githubusercontent.com/20147381/172834524-256d3f4b-3721-4ca8-8c64-b847988c04ac.mp4
## Learn more
For a more detailed step-by-step guide on using Node-RED for Edge AI Vision, please pay attention to this software.