UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 10 | October 2026

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Volume 13 Issue 10
October-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2610196


Registration ID:
587125

Page Number

b902-b908

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Title

IOT-BASED SMART INDUSTRIAL WORKER SAFETY SYSTEM

Abstract

The IoT-Based Smart Industrial Worker Safety System is a wearable safety solution designed to improve the protection of workers operating in hazardous industrial, sewage, and confined environments. The system uses an ESP32 microcontroller as the central processing unit and integrates MQ-135 and MQ-2 gas sensors for detecting harmful gases, smoke, and combustible gases, while the DHT11 sensor monitors temperature and humidity. An MPU6050 motion sensor is used to identify sudden movements and possible fall incidents. In an emergency, the worker can also manually activate an SOS push button. The detected conditions are processed by the ESP32 and indicated locally through an OLED display, buzzer, and LED. At the same time, the system uses IoT connectivity and a Blynk dashboard to provide real-time monitoring and emergency notifications to the supervisor. This enables faster identification of hazardous conditions and worker accidents, allowing timely rescue and safety actions. The proposed system provides a compact, practical, and modular approach for enhancing industrial worker safety.

Key Words

IoT, ESP32, Industrial Worker Safety, Gas Detection, MQ-135, MQ-2, DHT11, MPU6050, Fall Detection, SOS Alert

Cite This Article

"IOT-BASED SMART INDUSTRIAL WORKER SAFETY SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 10, page no.b902-b908, October-2026, Available :http://www.jetir.org/papers/JETIR2610196.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IOT-BASED SMART INDUSTRIAL WORKER SAFETY SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 10, page no. ppb902-b908, October-2026, Available at : http://www.jetir.org/papers/JETIR2610196.pdf

Publication Details

Published Paper ID: JETIR2610196
Registration ID: 587125
Published In: Volume 13 | Issue 10 | Year October-2026
DOI (Digital Object Identifier):
Page No: b902-b908
Country: Nagpur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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