IOT-BASED SMART STREET LIGHT SYSTEM USING ESP32

Abstract

To designed Internet of Things (IoT)-developed on a Adaptive street light infrastructure using ESP32, combining the benefits and advantages of solar energy power, the LDR-based automation, and current sensing fault detection using the techniques to bring forth efficient and reliable lighting solutions. The system used an LDR sensor for automatic turning ON of the lights during low light condition and automatic turning OFF of the lights during daylight hours, thus reducing energy loss and the need for human intervention. For sustainable power availability during nighttime hours, a solar panel charges a battery during daytime hours. To further ensure reliability, the system uses a current sensor that monitors the load current constantly. As a result, the solution provides automatic fault detection for conditions such as burning out of the lights, open-circuit conditions, and disconnection, which can be detected automatically once the current level goes below a predetermined threshold. The ESP32 microcontroller sends real-time current values and fault information data to the ThingSpeak cloud server for remote monitoring purposes. In this manner, a reliable and sustainable energy solution can be provided for the lighting system that has the added advantage of smartness by means of the Internet of Things (IoT).