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doi : https://doi.org/10.5281/zenodo.23721929

Divate et al. Res. Trends Int. J. Technol. Innov., October - December 2026, 1 (4) : 44-48

Web-Controlled Smart Street Light Fault Detection System Using ESP32 and IoT

C. P. Divate1, N. R. Bhokare2, S. S. Chougule3, Shruti Nandkumar Bavade4, Ashvita Kumar Kudachi5, Udayan Ravsaheb Babar6, Yash Dipak Jasud7, Gavandi Sartaj Khalil8

Department of Computer Engineering, ATS Sanjay Bhokare Group of Institute, Miraj, Maharashtra, India

Article Info

Article History Accepted : 26 Oct 2026
Published : 28 Oct 2026

Publication Issue Volume 1, Issue 4
October - December 2026

Page Number44–48

Paper NumberRTIJTI-2026-000055

Abstract

Street lighting is a public-safety service and a large part of municipal energy use, yet faults such as burnt-out lamps and cut wires are still found mainly through night patrols or complaints from residents. Lamps can also stay lit in daylight when a timer or switch fails. This paper presents the design of a web-controlled smart street light fault detection system based on the Internet of Things. Each pole carries an ESP32 or NodeMCU node with a Light Dependent Resistor (LDR) for switching the lamp from ambient light, an ACS712 sensor for measuring the load current, and a relay for remote switching. The firmware compares the commanded relay state with the measured current to separate open-circuit faults (blown lamp or broken wire) from overcurrent faults (short circuit). Readings are sent over MQTT or HTTP to a Node.js or Flask back end with a MySQL or PostgreSQL database, and a responsive web dashboard shows the status of each pole, raises fault alerts, and lets operators override zones remotely. The system is intended to reduce manual patrolling, shorten the time taken to respond to faults, and cut daytime energy waste. A plan for evaluating the prototype is also given.

Keywords - Internet of Things, Smart Street Light, Fault Detection, ESP32, ACS712, MQTT, Web Dashboard, Smart City

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© 2026 The Author(s). Published by RTIJTI Editorial Office. This is an open access article under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Cite this article

C. P. Divate, N. R. Bhokare, S. S. Chougule, Shruti Nandkumar Bavade, Ashvita Kumar Kudachi, Udayan Ravsaheb Babar, Yash Dipak Jasud, Gavandi Sartaj Khalil (2026). Web-Controlled Smart Street Light Fault Detection System Using ESP32 and IoT. Research Trends International Journal of Technology and Innovation, 1(4), 44-48. https://doi.org/10.5281/zenodo.23721929

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