Abstract:
This project presents the development of an IoT-based sunlight tracking system designed to optimize
solar energy capture by dynamically adjusting the orientation of solar panels. Utilizing four Light
Dependent Resistors (LDRs) for real-time sunlight detection, the system employs two servo motors to
adjust the panel's position on both horizontal and vertical axes. The integration of Internet of Things
(IoT) technology facilitates effective management of the system's output based on weather conditions;
when the weather is favorable, both important and non-essential LEDs are activated, while only the
important LED is illuminated during adverse weather conditions.These LEDs are representing the part
of the installation which needs currently to be supplied and the one which can be out of current without
any damage. This approach not only enhances the efficiency of solar energy generation but also
provides users with real-time monitoring capabilities through an OLED display and a web interface.
The findings demonstrate that the IoT-enabled solar tracking system can significantly improve energy
output and reliability, contributing to the broader adoption of renewable energy solutions.
