MRI
MRI India Journals Vol. 9 No. 12 (2025): Volume 9 Issue 12 2025

Street Light Fault Identification And Alerting Using Notification

Authors

  • Prof. M.M. Kharade
  • Aditi Aghav
  • Roshni Dahibhate
  • Dattatray Sankpal
  • Mohammad Farhan
  • Nagesh Katmore
  • Sufiyan Siddiqui

DOI:

https://doi.org/10.65521/ijasret.v9i12.1286

Keywords:

BT136-600E MOC-3021 ACS712 HC-SR 501 PIR LM393 LDR ESP 32s

Abstract

Street lighting plays a vital role in ensuring public safety and efficient transportation during night hours. However,
conventional street light monitoring systems often fail to detect faults such as lamp failures, power fluctuations, or wiring issues in
real-time, leading to energy wastage and inconvenience to the public. This project proposes smart fault identification and alerting
system for street lights using IoT technology. In the proposed system, sensors and microcontrollers are integrated with each street light
unit to continuously monitor its operating status, including parameters such as current flow, voltage level, and light intensity. When
an abnormal condition or fault is detected—such as bulb failure, power outage, or abnormal power consumption—the system
automatically identifies the faulty light and transmits the data to a central server through wireless communication (e.g., Wi-Fi/GSM).
An application installed on the concerned authority’s smartphone receives instant fault notifications, including the location and type
of issue. This system enables timely maintenance, reduces manual inspection efforts, and improves energy efficiency and reliability
of street lighting infrastructure. Additionally, the use of app-based alerts ensures rapid response and enhanced operational management.The proposed solution contributes toward building smarter, safer, and more sustainable cities

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Published

2025-12-30

How to Cite

Kharade, P. M., Aghav, A., Dahibhate, R., Sankpal, D., Farhan, M., Katmore, N., & Siddiqui, S. (2025). Street Light Fault Identification And Alerting Using Notification. International Journal of Advanced Scientific Research and Engineering Trends, 9(12), 16–19. https://doi.org/10.65521/ijasret.v9i12.1286