Tutorial: Building Multi-Camera AI Object Detection on Jetson with DeepStream and ROS 2

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A new developer tutorial outlines how to build a multi-camera edge AI pipeline using NVIDIA Jetson hardware, DeepStream, and ROS 2. The guide focuses on minimizing CPU overhead by keeping decode, preprocessing, inference, and tracking within a GPU-accelerated pipeline. It walks developers through setting up a ROS 2 workspace, creating publisher-subscriber nodes, and structuring a layered robotics architecture that separates sensors, perception, decision logic, and motor control. The tutorial also covers connecting the robot system to a Flutter-based operator interface via a secure gateway rather than direct ROS graph exposure. Prerequisites include an NVIDIA Jetson developer kit, basic Linux and Python or C++ knowledge, and familiarity with ROS 2 concepts.

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