When building multi-camera vision systems on Jetson Orin NX or Orin Nano, synchronization quickly becomes one of the most important challenges.
For applications such as:
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Robotics
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Intelligent Transportation Systems (ITS)
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Smart surveillance
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Industrial automation
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Multi-camera AI perception
even small timing differences between cameras can impact sensor fusion, object tracking, depth estimation, and overall perception accuracy.
We’ve worked on external trigger-based camera synchronization for Jetson Orin NX and Orin Nano and recently documented the implementation approach here:
The article focuses on hardware-triggered synchronization and discusses practical considerations for achieving synchronized image capture across multiple cameras on Jetson platforms.
I’m curious to hear how others are approaching synchronization in their deployments:
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Are you using hardware triggers or software timestamp alignment?
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What synchronization accuracy is required for your application?
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Have you encountered challenges with latency or frame alignment?
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How does synchronization scale as camera count increases?
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Are you using PTP or other synchronization methods in distributed systems?
Would be great to hear real-world experiences and lessons learned from the community.