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RDK S600 Developer Kit📖
1.RDK S600 board introduction
  • 1.1 RDK S600 board introduction
  • 1.2 System Flashing
  • 1.3 Hardware Interface Description
  • 1.4 Accessory Installation
  • 1.5 Camera Expansion Board
  • 1.6 MCU Interface Expansion Board
  • 1.7 Precautions for Using the 15.6-inch Screen
  • 1.8 System Boot Modes
2.RDK S600 basic course
  • 2.1 Network Configuration
  • 2.2 Remote Login
  • 2.3 System Update
  • 2.4 Boot Auto-Start Configuration
  • 2.5 RDK Exclusive Command Usage
  • 2.6 Linux Command Usage
  • 2.7 Examples of GPIO Read and Write Operations
  • 2.8 Using the USB Camera
  • 2.9 Solid-state mounting
  • 2.10 SSD expansionnew
3.TogetheROS.Bot Vision Applications
  • 1. About TogetheROS. Bot
  • 2. System Installation
  • 3. Object Detection(YOLO)
  • 4. Image Classification(mobilenetv2)
  • 5. Image Segmentation(mobilenet_unet)
  • 6. Perception Algorithm(BEV)
  • 7. Human Detection and Tracking (Ultralytics YOLO Pose)
4. Offline AI Large Model Development
Offline large model (Text Interaction)
  • 1. AI large model environment deployment
  • 2. Install large model dialogue platform
  • 3. Meta AI Llama 3.2 model
  • 4. Alibaba Cloud Qwen3 model
  • 5. Microsoft Phi-4 mini model
  • 6. DeepSeek - DeepSeek-R1 model
  • 7. Alibaba Cloud Qwen2.5vl Visual Multimodal Large Model
  • 8. Google Gemma3 Visual Multimodal Large Model
  • 9. Lava Visual Multimodal Large Model
  • 10. MiniCPM-V Visual Multimodal Large Model
  • 11. Multimodal visual understand application
  • 12. Multimodal text image application
  • 13. Multimodal visual localization application
  • 14. Multimodal table scanning application
  • 15. Multimodal Autonomous Agent Applications
Offline large model (Voice Interaction)
  • 0. Voice Interaction Hardware Connection (Must Read)
  • 1. Offline speech-to-text (ASR)
  • 2. Offline Text-to-Speech (TTS)
  • 3. AI large model voice interaction
  • 4. Multimodal visual understanding voice interaction
  • 5. Multimodal Text-to-Image application
  • 6. Multimodal video analytics application
  • 7. Multimodal visual localization application
  • 8. Multimodal table scanning application
  • 9. Multimodal autonomous agent application
  • 10. AI Large Model Offline Voice Assistant
5. Online AI Large Model Development
Online large model (Text Interaction)
  • 1.OpenRouter large model API aggregation platform
  • 2.Multimodal visual understand application
  • 3.Multimodal visual localization application
  • 4.Multimodal table scanning application
  • 5.Multimodal autonomous proxy application
Online large model (Voice Interaction)
  • 0.Voice interaction hardware connection (ReadMe)
  • 1.Online speech to text (ASR)
  • 2.Online text to speech (TTS)
  • 3.AI large model voice interaction
  • 4.Multimodal visual understand speech interaction
  • 5.Multimodal visual localization application
  • 6.Multimodal table scanning application
  • 7.Multimodal autonomous proxy application
  • 8.AI large model online voice assistant
6.YOLO26 tutorials
  • 01.YOLO26 environment
  • 02.CLI use
  • 03.Object detection
  • 04.Instance segmentation
  • 05.Pose estimation
  • 06.Image classification
  • 07.Oriented object detection
  • 08.Model conversion
  • 09.Dataset annotation
  • 10.Model training - conversion
  • 11.Model prediction
7.OpenClaw Advanced Development
  • 1. OpenClaw Deployment
  • 2. OpenClaw and WhatsApp Plugin Application
  • 3. OpenClaw TUI Interaction
  • 4. OpenClaw WebChat Interaction
  • 5. OpenClaw Gate Gateway Operation Manual
  • 6. OpenClaw Plugin Function Introduction
  • 7. OpenClaw Tools Introduction
  • 8. OpenClaw ClawHub Introduction (skill Installation)
  • 9.OpenClaw Application - File Management
  • 10.OpenClaw Application - Browser Control
  • 11.OpenClaw Application - Camera
  • 12.OpenClaw Application - Script Execution
  • 13.OpenClaw Application - AI Programming (Peripheral & GPIO Control)
  • 14. OpenClaw Application - Dedicated AI Assistant
  • 15. OpenClaw Configure Web Search Capability
8.ROS2 basic course
  • 1.Introduction to ROS2
  • 2.ROS2 install Jazzy
  • 3.ROS2 development environment
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
Download
  • System_File
  • Code
  • 3D_Model_File
  • Tools_Software
Download ZIP

Welcome to RDK S600 Developer Kit repository

1.OpenRouter large model API aggregation platform

OpenRouter Large Model API Aggregation Platform Text Interaction

OpenRouter Large Model API Aggregation Platform Text InteractionConcept Introduction1.1 What is "OpenRouter"?2. Practical Operations2.1 Obtaining API Credentials2.2 Illustrated Guide2.3 Configuration File Modification

Concept Introduction

1.1 What is "OpenRouter"?

OpenRouter is a large model API aggregation platform. You can think of it as a "universal remote control for large models". Typically, if you want to use OpenAI's GPT-4, Anthropic's Claude-3, and Google's Gemini, you would need to register accounts on three separate platforms, obtain three sets of API Keys, and write three different sets of calling code for their respective API formats.

OpenRouter solves this problem. It provides a unified API interface (compatible with OpenAI's API format), and with just one OpenRouter API Key, you can call all the above models and hundreds of other open-source and closed-source models through this single entry point.

The core advantages of integrating OpenRouter in the largemodel project are:

  • Ultimate Flexibility: You can seamlessly switch between GPT, Claude, Llama, and any other model by simply changing one model name in the configuration file, without modifying any code.
  • Cost Efficiency: OpenRouter provides clear pricing for each model, allowing you to conveniently compare and select the most cost-effective model for specific tasks.
  • Explore Cutting-edge Models: Many new and excellent open-source models are included on OpenRouter as soon as they are released, allowing developers to quickly try them out.

In the largemodel project, you can enable this powerful aggregation platform by configuring the llm_platform parameter to openrouter.

2. Practical Operations

2.1 Obtaining API Credentials

  1. Register on OpenRouter: Visit OpenRouter.ai, and register an account using Google or email. If the link is invalid, you need to search for the "OpenRouter" platform yourself.
  2. Top Up: OpenRouter uses a prepaid model. You need to top up a small amount (e.g., $5) on the "Credits" page before you can start using it. Alternatively, you can directly use its free models, but they have rate limits.
  3. Create API Key: On the "Keys" page, click "Create Key" to generate a new API Key, and copy and save it immediately.

2.2 Illustrated Guide

  1. First go to the following website. If the link is invalid, you need to search for the "OpenRouter" platform yourself, then look for keywords related to large models.

OpenRouter

image-20250801163705985

  1. Register and log in to your account
  2. After registering, click to enter the model marketplace

image-20250801165400079

  1. You can type "free" in the search bar to find models that can be called for free.

image-20250807175353717

  1. Hover over the clipboard icon next to a model to see the name used when calling the model, and click to copy it.

image-20250807175436229

 

  1. Move the mouse to the upper right corner next to the avatar, it will expand, and you can click Keys to go in and create a key.

image-20250807180439598

  1. Click to apply for an API key

image-20250807180556227

  1. After applying, you will receive an API key string

image-20250801171806192

2.3 Configuration File Modification

  1. Open large_model_interface.yaml:

    vim ~/yahboom_ws/install/largemodel/share/largemodel/config/large_model_interface.yaml

    Then replace sk-xxxxxxxxxx in openrouter_api_key with the API key you just copied.

    openrouter_model is used to configure the model for conversations.

    xxxxxxxxxx
    # OpenRouter Platform Configuration
    openrouter_api_key: "sk-xxxxxxxxxxxxxxxxxxx"
    openrouter_model: "moonshotai/kimi-k2:free" # Model to use, e.g. "google/gemini-pro-vision"
  2. Open yahboom.yaml:

    xxxxxxxxxx
    vim ~/yahboom_ws/install/largemodel/share/largemodel/config/yahboom.yaml
  3. Switch Platform: Change the llm_platform parameter to openrouter.

    xxxxxxxxxx
    llm_platform: 'openrouter'

After switching the platform parameter, return to the workspace and recompile to take effect.

AI Large Model Offline Voice Assistant
Multimodal visual understand application

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