A comprehensive toolkit for initializing, configuring, and previewing MIPI CSI, USB, and depth cameras on the RDK X5 hardware platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rdk-x5-camera
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install rdk-x5-camera using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is RDK X5 Camera Configuration & Image Capture?
The rdk-x5-camera skill is a specialized utility designed for the RDK X5 platform to manage a diverse range of imaging hardware. It enables developers to seamlessly interface with MIPI CSI sensors like the IMX219 or OV5647, standard USB UVC cameras, and advanced depth cameras including Intel RealSense and ZED. By utilizing this within the ecosystem of Openclaw Skills, users can bridge raw sensor data to high-level applications through a unified ROS2-based workflow.
Beyond simple initialization, this skill provides integrated tools for image encoding and WebSocket streaming. This allows for low-latency, real-time video previews directly in a web browser, making it an essential component for robotics and vision-based prototyping. It streamlines the complex task of hardware-level camera orchestration into a set of repeatable, automated commands.
RDK X5 Camera Configuration & Image Capture Use Cases
- Hardware verification and troubleshooting of MIPI and USB camera connections on RDK X5.
- Real-time remote monitoring of robot vision systems through a browser-based preview.
- Capturing high-quality image data for building localized datasets for machine learning.
- Precise ISP parameter tuning for specialized lighting conditions using the integrated tuning tool.
How RDK X5 Camera Configuration & Image Capture Works
- Environment Setup: The skill initializes the ROS2 Humble environment on the RDK X5 to ensure all driver dependencies are met.
- Hardware Detection: It verifies physical connections and identifies device nodes for USB or MIPI sensors.
- Node Launching: Depending on the hardware, it triggers the appropriate camera driver node such as mipi_cam or hobot_usb_cam with optimized configurations.
- Processing & Encoding: Raw data is optionally passed through a codec node to convert frames into compressed formats like JPEG.
- Visualization: A WebSocket server is established to stream the video feed to a local web interface on port 8000 for immediate feedback.
RDK X5 Camera Configuration & Image Capture Setup
To begin using this camera utility within Openclaw Skills, ensure your hardware is connected and run the following commands:
# Initialize environment
source /opt/tros/humble/setup.bash
# For MIPI CSI cameras
ros2 launch mipi_cam mipi_cam.launch.py
# For USB Cameras (MJPEG mode)
ros2 launch hobot_usb_cam hobot_usb_cam.launch.py usb_video_device:=/dev/video0
# Start Web Preview
ros2 launch hobot_codec hobot_codec_encode.launch.py &
ros2 launch websocket websocket.launch.py websocket_image_topic:=/image_jpeg websocket_only_show_image:=true
RDK X5 Camera Configuration & Image Capture Data Schema & Taxonomy
The skill manages data flow through standard ROS2 topics and localized system nodes:
| Data Type | Topic / Path | Description |
|---|---|---|
| Raw Image | /image_raw |
Unprocessed stream from the primary camera sensor |
| Compressed Image | /image_jpeg |
JPEG encoded stream for web distribution |
| Device Nodes | /dev/video* |
Linux system nodes for USB and MIPI devices |
| Web Interface | http://<RDK_IP>:8000 |
Local endpoint for real-time visualization |
| ISP Params | /app/multimedia_samples/tuning_tool |
Directory for image signal processor tuning configs |
RDK X5 Camera Configuration & Image Capture Advanced Features
- Dual-channel MIPI support for synchronized stereoscopic vision projects.
- Depth-sensing integration for RGB-D data collection with RealSense and ZED hardware.
- Dynamic topic remapping to allow multiple camera instances to run simultaneously.
- Low-level ISP tuning access to adjust exposure, white balance, and noise reduction in real-time.
- High-efficiency MJPEG encoding support to reduce CPU overhead during high-resolution streaming in Openclaw Skills.
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