NURIN DAYANA YASMINE BINTI MARHIZAM Universiti Malaysia Perlis
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This project develops an IoT-based street lighting system using Raspberry Pi for automatic lighting control and real-time electrical monitoring. An LDR sensor is used to detect surrounding light conditions, while INA219 sensors monitor the voltage, current, and power of each streetlight. The system also provides manual control, fault detection, data monitoring through a dashboard, and Telegram notifications when a fault is detected.
