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Multi-Camera Synchronization on RK3576: CSI Bandwidth Before AI

A practical camera bring-up method for ArmSoM Sige5 and CM5 that separates CSI wiring, V4L2 timestamps and model throughput.

· ArmSoM Editorial · 2 min read

CSI camera synchronization pipeline

ArmSoM Sige5 lists two 4-lane MIPI CSI inputs; CM5 lists one 4-lane and one 2-lane input. Those are interface capabilities, not a promise that two arbitrary sensors will synchronize or that an AI pipeline will sustain full frame rate.

Bring-up sequence

Start with one sensor and the documented device-tree endpoint. Confirm media topology, pixel format and timestamps before adding the second sensor.

v4l2-ctl --list-devices
media-ctl -p
v4l2-ctl -d /dev/video0 --stream-mmap --stream-count=300 \
  --stream-to=/tmp/capture.raw --verbose

Measure dropped frames and timestamp deltas. If two sensors need hardware sync, expose the trigger and clock requirements on the carrier; software timestamp alignment is not equivalent to a shared exposure edge.

What differs from Raspberry Pi and Jetson Nano

Camera libraries, ISP tuning files and GStreamer elements are platform-specific. A Raspberry Pi libcamera pipeline or Jetson Argus application will not simply run on RK3576. Plan for V4L2/media-controller configuration, Rockchip ISP support and an application-level synchronization test.

References

Pre-publication check

  • Document sensor mode, lane count, link frequency and pixel format.
  • Include timestamp and dropped-frame evidence.
  • Avoid claiming multi-camera AI throughput without a measured workload.

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