Monitoring Jetson CPU, GPU, Temperature and Power from a Flutter Robot Dashboard
Monitoring Jetson CPU, GPU, Temperature and Power from a Flutter Robot Dashboard Create a lightweight telemetry service that collects Jetson health metrics and exposes them to Flutter. The dashboard can visualize CPU/GPU load, memory, temperature, power mode, and connectivity. Treat telemetry as observability data, not as a control channel. What You Will Build By the end of this tutorial, you…
This tutorial guides you through building a Flutter robot dashboard that monitors Jetson CPU, GPU, temperature, and power. The core components include a lightweight telemetry service, a Flutter dashboard for visualization, and a ROS 2 architecture for communication.
The tutorial covers the prerequisites, including a Jetson developer kit, Linux environment, and familiarity with Linux, Python or C++, and ROS 2. It also emphasizes the importance of adhering to the version compatibility of NVIDIA Jetson, JetPack, CUDA, TensorRT, Isaac ROS, and ROS 2.
The steps involve preparing the Jetson, installing and verifying ROS 2, creating a ROS 2 workspace, building a package, understanding data flow, publishing ROS 2 messages, adding logging and diagnostics, creating a safety layer, connecting Flutter, testing the system, optimizing for Jetson, and making the deployment reproducible.
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