International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 12 Issue: 03 | Mar 2025
www.irjet.net
p-ISSN: 2395-0072
Smart Street Light K. Raja Rajesh Reddy CSE-IoT Chandigarh University Mohali, Punjab
R. Seshendra Krishna CSE-IoT Chandighar University Mohali, Punjab
S. Bala Adarsh CSE-IoT Chandigarh University Mohali, Punjab
Dr. Sonal Rattan Professor (AIT) Chandigarh University Mohali, Punjab
Y. Aravind Kumar CSE-IoT Chandigarh University Mohali, Punjab
--------------------------------------------------------------------------***---------------------------------------------------------------------------Abstract—This study introduces a novel method for urban lighting systems by leveraging Internet of Things (IoT) technology to create a smarter, energy-efficient, and adaptable street lighting solution. The suggested system uses Light Dependent Resistors (LDRs) and Infrared (IR) sensors to automatically modify the brightness of street lights according to current environmental factors like surrounding light intensity and the movement of people or cars. A NodeMCU microcontroller acts as the main processing unit, facilitating smooth wireless communication and system management via the Blynk app. The incorporation of sensors and IoT communication guarantees that the street lights turn on only when needed, thus greatly decreasing energy usage and lessening light pollution in urban regions. The solution is created to be scalable and economical, making it fitting for contemporary cities looking to improve public safety and lessen environmental effects. The system is built with the Arduino Integrated Development Environment (IDE), and remote control and monitoring are made possible through the Blynk app, allowing for effortless management and deployment from anywhere. By tackling the simultaneous issues of energy efficiency and sustainability, the suggested intelligent street lighting system aids in the advancement of more intelligent and environmentally friendly urban infrastructure.
cannot adapt lighting according to real-time circumstances. These systems generally light up streets at maximum brightness without considering the real necessity, like during times of low traffic or when there is enough natural light, resulting in higher energy usage and costs for local governments. Moreover, traditional street lights are not flexible enough to adjust to environmental shifts and human presence, which diminishes their effectiveness in maintaining public safety. The Smart Street Light initiative seeks to tackle these issues by introducing an advanced lighting system that automatically modifies street lights according to surrounding light conditions and the detection of pedestrians or vehicles. By incorporating sensors, wireless communication, and IoT technology, the system can autonomously optimize lighting, minimize energy waste, decrease operational costs, and improve public safety. This creative method corresponds with the increasing need for sustainable and intelligent urban infrastructure. Hardware Specification
Node MCU (ESP32): Microcontroller unit for handling the IoT communication and processing.
LDR (Light Dependent Resistor): Sensor to detect ambient light levels and adjust the street light brightness accordingly.
IR Sensor: Infrared sensor to detect the presence of vehicles or pedestrians for triggering the street lights.
LED Street Light: LED light source to be controlled by the system.
Conventional street lighting systems function on predetermined schedules and manual management, frequently leading to considerable energy waste because they
Relay Module: Electronic switch that allows the microcontroller to control the high-power street light.
© 2025, IRJET
ISO 9001:2008 Certified Journal
Keywords—Smart Street Light, Energy Efficiency, IoT (Internet of Things), Node MCU, Blynk App, LDR (Light Dependent Resistor), IR Sensor, Arduino IDE, Smart City, Sustainable Urban Infrastructure.
I. INTRODUCTION
|
Impact Factor value: 8.315
|
|
Page 584