Unable to Detect RealSense D435 on Raspberry Pi 5 via PuTTY (Debian Trixie)

January 14, 2026 04:17

I’m trying to use the Intel RealSense D435 depth camera on my Raspberry Pi 5, connected via PuTTY (SSH). I’m running Debian Trixie (64-bit). I followed these steps: • Enabled the camera using sudo raspi-config • Installed Python 3 and OpenCV successfully • Tried running a camera check script using cv2.VideoCapture(0) but got: "No camera detected!" Then I tried to install RealSense SDK via: sudo apt-get install librealsense2-utils librealsense2-dev librealsense2-dkms But got this error: Unable to locate package librealsense2-utils I also tried: pip3 install pyrealsense2 --break-system-packages And got: ERROR: No matching distribution found for pyrealsense2 I believe it’s a compatibility issue with Debian Trixie. My questions: 1. Should I switch to Raspberry Pi OS (Bookworm 64-bit)? 2. Is there a specific way to install RealSense libraries on Raspberry Pi 5 via terminal/SSH? 3. Any working steps or guide for headless Raspberry Pi (SSH only)?

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MartyX Grover

January 14, 2026 11:50
Hi mml lmlm Raspberry Pi works best when built from source code on Ubuntu using the libuvc backend installation method at the link below. It it is also a very good method for use with non-Ubuntu flavors of Linux.

https://github.com/IntelRealSense/librealsense/blob/master/doc/libuvc_installation.md

This installation method provides a pre-made installation script called libuvc_installation.sh

https://github.com/IntelRealSense/librealsense/blob/master/scripts/libuvc_installation.sh

Achieving a successful installation on Raspberry Pi OS instead of an OS such as Ubuntu will be more difficult. The last known Pi OS to work with RealSense cameras is Bookworm. There has only been one reported attempt from RealSense users regarding installation of Trixie, which can be found here:

https://github.com/realsenseai/librealsense/issues/14277

A user at the link below achieved a successful installation on Pi 5 and Pi OS Bookworm and provided the details of what worked for them.

https://github.com/realsenseai/librealsense/issues/12574#issuecomment-2758898024

Ubuntu and the libuvc backend installation method will provide the best chance of success though.

In regard to using librealsense headless, you can do so if you build from source code with CMake and include the flag -DBUILD_GRAPHICAL_EXAMPLES=FALSE in the CMake build instruction. With the libuvc method and its pre-made 'libuvc_installation.sh' build script, you would add this flag to line 45 of the script.
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