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Original Article

IOT – Enabled Smart Street Light Using ESP32

  • Paper ID 333
  • Volume 6, Issue 3
  • Pages 160-165
  • Published Online: May-June 2026
  • 26 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • N. Sai Lakshmi Kumari1
  • G. Kezia Poornima2
  • Nalla Sharmila3
  • Yeduru Likitha Sai Lasya4
  • Nadupuru Avinash5
  • Tale Praisy Supriya, Pinagadi Chandini6

1 Assistant Professor, Department of ECE, Dr. Lankapalli Bullayya College of Engineering, Andhra University, Andhra Pradesh, India. 2 3 4 5 6 7 Department of ECE, Dr. Lankapalli Bullayya College of Engineering, Andhra University, Andhra Pradesh, India.

Article Information

Published Online
May-June 2026
Pages
160-165
Article Type
Original Article
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Abstract

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The proposed project presents a Smart Solar-Based Automatic Street Light and Weather Monitoring System using ESP32 and Blynk IOT platform. The system is designed to provide energy-efficient street lighting along with real-time environmental monitoring using renewable energy sources. The system utilizes a solar panel to generate electrical energy, which is stored in a battery through a charging module. The stored energy powers the ESP32 microcontroller, which acts as the central control unit. Multiple sensors such as LDR (Light Dependent Resistor), IR sensor, DHT11 temperature sensor, and rain sensor are integrated to monitor environmental conditions. Based on the LDR readings, the system automatically distinguishes between day and night conditions. During daytime, the street lights remain OFF to conserve energy. At night, the system operates in energy-saving mode by maintaining LEDs at 50% brightness, and when a vehicle is detected using the IR sensor, the brightness increases to 100%, ensuring safety and visibility. Additionally, the system monitors temperature and rainfall conditions, displaying real-time data on a 16×2 LCD. The collected data is also transmitted to the Blynk IOT platform via Wi-Fi, enabling remote monitoring and control. This system is highly efficient, cost-effective, and eco-friendly, as it reduces power consumption and utilizes renewable energy. It is suitable for smart city applications and helps in improving energy management, automation, and environmental awareness.

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  • ISSN 2583-1240
  • Open Access
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