node-red-contrib-nodes is a comprehensive Node-RED repository under the Seeed-Studio organization, hosting various Node-RED nodes for diverse functionalities, including AI model deployment, device integration, and IoT ecosystem interconnection.
- AI Model Deployment: Easily deploy AI models using Node-RED's flow-based programming interface, making it accessible for users with minimal coding experience.
- Device Integration: Connect the outputs of AI models to a wide range of devices and services, allowing for real-time automation and decision-making.
- Flow-based Programming: Leverage the visual programming paradigm of Node-RED to design and deploy complex AI workflows quickly and efficiently.
- Flexible Interconnection: Utilize AI-driven data to communicate and control various devices in an IoT ecosystem.
To install any of the packages in Node-RED, run the following command:
cd <package-name>
npm install <package-name>
Or install directly through the Node-RED interface.
- node-red-contrib-sscma: For AI model deployment.
- node-red-contrib-seeed-canbus: For CAN bus integration.
- node-red-contrib-seeed-recamera: For camera interface integration.
- Open Node-RED and navigate to the flow editor.
- Drag the
sscmanode into your workspace. - Configure the node by selecting the AI model you wish to deploy.
- Connect the node to other nodes for input/output to interact with devices or services.
- Deploy the flow to start processing AI data.
Below is an example of how node-red-contrib-sscma can be used in a flow to connect an AI model’s output to a device:
[ Camera Node ] → [ Model Node ] → [ Output Device Node ]
This flow processes data using an AI model and sends the results to a connected device for further action.
This project is licensed under the Apache License 2.0.