Iot-Based Smart Street Light Fault Detection and Real-Time Fault Location Identification System Using Wireless Sensor Networks and GPS

The Street Light Fault Detection and Location Identification is an intelligent system designed for automating manual identification of faulted street lights. This paper presents the development and implementation of a novel fault detection method that enables the technician to easily identify the faulty lights. The primary objective of this system is to enhance the efficiency of repairing the defected street lights. The system is equipped with a LDR Sensor (Light Dependent Resistor) which is connected to the Arduino microcontroller which reads the resistance of the LDR module and send the location of the faulted light using a GPS module The system is designed to be adaptive, allowing the electrician to dynamically s adjust its path based on his relevant environment. The algorithm considers factors such as obstacle proximity, amount of defected light ensuring a robust and responsive identification strategy. Additionally, the system incorporates additional mechanism to smartly avoiding power outages for purpose.