A Review on Wireless Industrial Safety Helmet Using ESP32 with IoT

Industrial worksites such as mines, construction sites, and manufacturing plants expose workers to hazards including toxic gas leakage, extreme temperature, falls, and head injuries. Conventional safety helmets provide only passive mechanical protection and cannot alert supervisors in real time when a worker is in danger. This paper presents a review of a Wireless Industrial Safety Helmet built around the ESP32 microcontroller and integrated with Internet of Things (IoT) technology. The helmet continuously monitors ambient gas concentration, temperature, humidity, helmet-wearing status, and worker movement using an MQ-135 gas sensor, DHT11 temperature and humidity sensor, MPU6050 accelerometer-gyroscope module, and a helmet-wearing detection switch. Upon detecting an unsafe condition or upon manual panic activation, the system triggers local audio-visual alerts through a buzzer, LED, and OLED display, while simultaneously transmitting sensor data over Wi-Fi to a cloud IoT platform for real-time supervisor monitoring. The system is powered by a rechargeable Li-ion battery with a regulated charging and power-distribution circuit. The proposed architecture and workflow are presented ahead of full hardware validation.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23876274
Primary Topic
Arduino and IoT Applications
Type
article
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article

A Review on Wireless Industrial Safety Helmet Using ESP32 with IoT

Prathamesh Gaikwad, Prof. S. J. Pardeshi, Prof. Vivekanand Gund
Zenodo (CERN European Organization for Nuclear Research)
Arduino and IoT Applications
article

A Review on Wireless Industrial Safety Helmet Using ESP32 with IoT

Prathamesh Gaikwad, Prof. S. J. Pardeshi, Prof. Vivekanand Gund
article en

Abstract

Industrial worksites such as mines, construction sites, and manufacturing plants expose workers to hazards including toxic gas leakage, extreme temperature, falls, and head injuries. Conventional safety helmets provide only passive mechanical protection and cannot alert supervisors in real time when a worker is in danger. This paper presents a review of a Wireless Industrial Safety Helmet built around the ESP32 microcontroller and integrated with Internet of Things (IoT) technology. The helmet continuously monitors ambient gas concentration, temperature, humidity, helmet-wearing status, and worker movement using an MQ-135 gas sensor, DHT11 temperature and humidity sensor, MPU6050 accelerometer-gyroscope module, and a helmet-wearing detection switch. Upon detecting an unsafe condition or upon manual panic activation, the system triggers local audio-visual alerts through a buzzer, LED, and OLED display, while simultaneously transmitting sensor data over Wi-Fi to a cloud IoT platform for real-time supervisor monitoring. The system is powered by a rechargeable Li-ion battery with a regulated charging and power-distribution circuit. The proposed architecture and workflow are presented ahead of full hardware validation.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Arduino and IoT Applications
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A Review on Wireless Industrial Safety Helmet Using ESP32 with IoT — Prathamesh Gaikwad, Prof. S. J. Pardeshi, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS