About This Architecture

IoT solar tracking system using dual LDR sensors connected to an ESP32 microcontroller that streams light intensity data via WiFi to Firebase Realtime Database. The architecture captures left and right sensor readings with timestamps, enabling real-time synchronization to a web dashboard authenticated through Firebase Auth. This four-layer design separates hardware acquisition, wireless communication, cloud persistence, and user-facing visualization, making it ideal for prototyping autonomous solar panel positioning systems. Fork and customize this diagram on Diagrams.so to adapt sensor types, add servo motor control logic, or integrate additional cloud backends. The pattern demonstrates best practices for edge-to-cloud IoT pipelines where low-latency sensor fusion and live dashboards are critical.

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How do I build a real-time IoT system that streams sensor data from an ESP32 microcontroller to a Firebase dashboard?

This diagram shows a four-layer architecture where dual LDR sensors feed light intensity data to an ESP32 microcontroller, which transmits readings via WiFi to Firebase Realtime Database. The database syncs live values to a web dashboard protected by Firebase Auth, enabling remote monitoring of solar panel positioning in real time.