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This project presents an IoT-based Smart Street Lighting System designed to reduce energy consumption and manual intervention by automating streetlight operation. The system uses an LDR sensor to detect ambient light intensity and a PIR sensor to sense the movement of vehicles or pedestrians. A microcontroller (ESP32) processes the sensor data and controls the streetlights accordingly— keeping the lights OFF during daytime, turning them ON at night when motion is detected, and dimming or switching them OFF when no activity is present. The integration of IoT technology enables real-time monitoring and remote control through a mobile application, improving efficiency, safety, and convenience. By using energy-efficient LED lighting and intelligent automation, the system significantly reduces power consumption, operational costs, and environmental impact, making it suitable for smart cities, highways, campuses, and public areas
Keywords:
Reduce energy consumption, IOT, ESP32, LDR, PIR
Cite Article:
"AUTOMATED STREET ILLUMINATION", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c173-c175, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604294.pdf
Downloads:
000205515
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator