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Paper ID:IJSREM43604

IOT-Based Smart Helmet for Industrial Workers

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43604

Volume:

9 |

4 |

Apr 2025

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM43604

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

AMP

Aishwarya M. P.

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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N

Nalini

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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DP

Dheeraj Prasad

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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JPV

Jeevitha P. V.

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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Abstract

Industrial workers, particularly those employed in mining and other hazardous environments, are continuously exposed to risks such as toxic gases, abnormal temperature and humidity conditions, falls, and emergency situations. This paper presents an IoT-Based Smart Helmet for Industrial Workers designed to improve worker safety through continuous environmental monitoring and emergency communication. The proposed system is based on an Arduino Uno microcontroller integrated with an MQ2 gas sensor, DHT11 temperature and humidity sensor, emergency switch, GPS module, GSM communication module, ESP8266 Wi-Fi module, 16×2 LCD, and buzzer. Sensor information is continuously monitored to identify potentially hazardous operating conditions. When an unsafe condition or emergency is detected, the system provides a local warning through the buzzer and supports emergency notification using GSM communication. GPS provides location information to assist in locating the worker, while IoT connectivity enables the concept of remote monitoring. The developed smart helmet provides an economical and practical approach for improving industrial worker safety by combining sensing, location tracking, warning, and communication functions in a wearable safety system.

KEYWORDS

Internet of Things (IoT) Smart Helmet Industrial Safety Arduino Uno MQ2 Sensor DHT11 GPS GSM ESP8266.

Cite This Article

Aishwarya M. P., Nalini, Dheeraj Prasad, Jeevitha P. V., "IOT-Based Smart Helmet for Industrial Workers," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, pp. 1-5, Apr 2025. https://doi.org/10.55041/IJSREM43604

Full Article/Conclusion

The IoT-Based Smart Helmet for Industrial Workers provides an integrated approach to improving worker safety in hazardous environments. The proposed system combines an MQ2 gas sensor, DHT11 temperature and humidity sensor, emergency switch, Arduino Uno, LCD, buzzer, GPS, GSM, and ESP8266 Wi-Fi communication. These components enable environmental monitoring, immediate warning, location tracking, and emergency communication within a single wearable safety platform. The system demonstrates the potential of IoT technology to transform conventional personal protective equipment into an intelligent safety device. The emergency switch allows workers to request assistance, while the LCD and buzzer provide local information and warnings. Further development focusing on improved battery life, data security, comfort, reduced weight, and reliable operation under harsh industrial conditions can make the proposed smart helmet more suitable for practical industrial deployment.

References

[1] K. A. Unnikrishna Menon, Deepa Maria, and Hemalatha Thirugnanam, “Power Optimization Strategies for Wireless Sensor Networks in Coal Mines,” IEEE, 2012. [2] P. Kulkrani and Sangam, “Smart System for Hazardous Event Detection and Evaluation in Mining Industries,” Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, vol. 5, no. 3, 2017. [3] S. Gupta and R. Vashisth, “Implementation and Analysis of Smart Helmet,” in Proc. IEEE International Conference on Signal Processing, Computing and Control (ISPCC), Solan, India, Sept. 21–23, 2017. [4] Dhanalakshmi and Lathapriya, “A Smart Helmet for Improving Safety in Mining Industry,” International Journal of Innovative Science and Research Technology, vol. 3, no. 2, 201

Editorial & Review Transparency

Publication Date

4/28/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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