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Paper ID:IJSREM68252

SMART VOLTAGE DETECTION AND PROTECTION BOX FOR PREVENTION OF ELECTROCUTION USING ESP32 AND GSM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68252

Volume:

10 |

10 |

Oct 2026

Pages:

1-3

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68252

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Rai Eshwaraprasad

Rai Eshwaraprasad

Electronics and Communication Engineering

CMR Technical Campus

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RUR

Ragiri Uma Rani

Electronics and Communication Engineering

CMR Technical Campus

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GSC

Guvvala Siri Chandana

Electronics and Communication Engineering

CMR Technical Campus

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Ch.Abhi Ram

Ch.Abhi Ram

Electronics and Communication Engineering

CMR Technical Campus

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Mentors

M. Sravanthi

M. Sravanthi

Electronics and Communication Engineering

CMR Technical Campus

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Abstract

Electrical accidents caused by fallen or faulty power lines are a serious threat to human life, especially in wet places such as agricultural fields and waterlogged streets. When a live wire touches wet ground, the soil becomes conductive and the current spreads over a wide area, creating dangerous step and touch potentials that cannot be seen. Existing distribution systems depend mostly on manual inspection and delayed fault reporting, so the line often stays live for a long time after it has fallen. This paper presents a Smart Voltage Detection and Protection Box that monitors the voltage near an electric pole and reacts to an unsafe condition by itself. An ESP32 microcontroller reads the voltage sensor and compares the reading with a preset safe limit. When the limit is crossed, the ESP32 switches a relay to cut the supply, sends an SMS alert through a SIM800L GSM module to the authorities, linemen and nearby users, and sounds a buzzer to warn people around. A battery backup keeps the box working during power failures. The prototype was tested by raising the input voltage above the threshold, and it cut the power, sent the message and sounded the alarm as intended. The design is low cost, easy to install and suitable for rural as well as urban areas.

KEYWORDS

Voltage Detection Electrocution Prevention ESP32 GSM Module Relay Control Fault Detection Embedded Systems Public Safety.

Cite This Article

Rai Eshwaraprasad, Ragiri Uma Rani, Guvvala Siri Chandana, Ch.Abhi Ram, M. Sravanthi, "SMART VOLTAGE DETECTION AND PROTECTION BOX FOR PREVENTION OF ELECTROCUTION USING ESP32 AND GSM," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-3, Oct 2026. https://doi.org/10.55041/IJSREM68252

Full Article/Conclusion

This paper presented a Smart Voltage Detection and Protection Box that detects unsafe voltage near electric poles and responds without human intervention. The ESP32 compares the sensor reading with a threshold, the relay disconnects the supply, the GSM module alerts the authorities and nearby users, and the buzzer warns the public. The prototype performed all three actions correctly when a fault was simulated. The box is low cost, easy to install and runs on battery backup, so it suits farms, cities, industrial areas, construction sites, public places and disaster-prone regions. Future work will add IoT cloud monitoring, GPS location of the faulty pole, LoRa or NB-IoT links as an alternative to GSM, a solar supply and machine learning for predicting faults, together with measured response time and accuracy figures.

References

1)    B. Gupta, A. Chaudhary, N. Sindhwani and A. Rana, “Smart Shoe for Detection of Electrocution Using Internet of Things (IoT),” in 2021 9th Int. Conf. Reliability, Infocom Technologies and Optimization (ICRITO), Noida, India, 2021. 2)    M. R. Zemaitis, M. Guirguis and R. Cindass, “Electrical Injuries,” StatPearls Publishing, 2025. 3)    S. Liu, Y. Zeng, W. Lin, J. Lin and M. Lin, “Bioelectric Shock Fault Diagnosis in Low Voltage Distribution Network Based on Multidimensional Features and BP-AdaBoost,” in ICEPET, 2025. 4)    S. Anbumalar, P. Jamuna, D. Raja and N. K. Naresh Kumar, “Automatic Prevention of Electrocution and Location Identification Using FLI Algorithm,” in ICSCAN, Pondicherry, India, 2020.

Editorial & Review Transparency

Publication Date

10/23/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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