ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774

Street Light Fault Identification And Alerting Using Notification  

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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IMPORTANT DATES

Submit paper at ijasret@gmail.com

Paper Submission Open For December 2025
UGC indexed in (Old UGC) 2017
Last date for paper submission 31 December 2025
Deadline Submit the paper anytime.
Publication of Paper Within 15-30 Days after completing all the formalities
Publication Fees  Rs.5000 (UG student)
Publication Fees  Rs.6000 (PG student)