Deploy Edge AI application with NVIDIA Jetson, Seeed's No-Code Edge AI Vision with Node-RED

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Hi Node-RED community,

This is Elaine(twitter@iamelainewu) from Seeed Studio. Recently we are developing a No-code Edge AI Tool based on Node-RED. Please check out our project GitHub - Seeed-Studio/node-red-contrib-ml: Get started with AI vision at the edge with no coding experience at all!

Here is a demo video of deploying warehouse security IP cameras with people detection.

With just a few simple commands, the environment can be downloaded and deployed, and the process of monitoring, identifying, and outputting results from a live screen can't be simpler than three blocks.

We would like to also invite Node-RED developers to have a try on our no-code edge AI tool and join our project development. Hope to align with community experts for co-delivering AI applications at the Edge!

Let us know if you find it interesting! Please contact edgeai@seeed.cc if you need more information!

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Your first link gives a 404 error - page not found.
Your link contains the URL repeated twice.
You might want to re-check it and edit it?

This is what I think it should be... Seeed-Studio on GitHub

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Thank you @dynamicdave ! I corrected the link, hope you like the project and look forward to Node-RED community joining us!

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just updated a new demo for grocery store inventory detection https://twitter.com/seeedstudio/status/1534721576926851072

We used YOLOv5 to train the model and run the inference. Roboflow is used to convert the dataset. The inference is on the Jetson Nano!

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