Student builds offline telemetry system to monitor harvesters in areas without connectivity
A Brazilian technical school student has developed FieldNode, an offline telemetry system designed to monitor harvesters operating in rural areas with no mobile signal. The project uses two ESP32 microcontrollers communicating via ESP-NOW protocol to collect real-time data on temperature, vibration, and RPM without requiring internet access. A local dashboard is served directly from the gateway device over its own Wi-Fi, allowing field supervisors to monitor machine health on their phones. When connectivity is restored, all collected data automatically syncs to a Django and MySQL backend API, using UUID-based deduplication to prevent data loss or duplication. The student has shared the project on GitHub and is seeking community feedback on the API structure and data models as part of his final technical course assignment.
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