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Design and development of an IoT-based smart street light system for energy efficiency, remote fault reporting, and emergency assistance.
The IoT-based Smart Street Light System is designed to address high electricity consumption, provide a mechanism for fault reporting in streetlights, and ensure quick responses to emergencies like road accidents and women harassment. This project integrates smart vehicle detection to adjust streetlight brightness based on vehicle presence and a panic button for emergency alerts. By leveraging the Blynk IoT platform, this system aims to save energy and improve public safety by reporting critical incidents to the appropriate authorities efficiently.
The system uses the Blynk IoT platform to develop a mobile app for real-time status monitoring and alert reporting. The streetlight brightness is adjusted dynamically based on vehicle detection, reducing unnecessary electricity consumption. A panic button is installed at each streetlight to alert authorities during emergencies like road accidents or harassment cases. This feature enhances public safety and ensures prompt action during critical situations.
The system's components include sensors for vehicle detection, panic buttons, microcontrollers for controlling the system, and a communication module to interface with the IoT platform.
The microcontroller receives input from vehicle detection sensors installed along the street. Based on the sensor data, the streetlight brightness is dynamically adjusted. When no vehicle is detected, the brightness is reduced to save energy, and when a vehicle is detected, the brightness is increased.
The panic button is integrated with each streetlight and connected to the IoT platform via a Wi-Fi module. Pressing the panic button sends an alert to the Blynk IoT app, notifying the relevant authorities about emergencies such as road accidents or harassment incidents. The app also displays the status of streetlights, enabling real-time fault detection and reporting.
