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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Janani Vigneswaran
Thiagarajar College of Engineering
Computer Science & IT

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Predictive safety helmet for miners using internet of things and artificial intelligence Vijayalakshmi Murugesan; Irudhaya Ronisha Innasi John Benedict; Janani Vigneswaran; Pooja Senthamarai Kannan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 4: August 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i4.27421

Abstract

Mining is still responsible for many deaths since mines have dangerous environmental conditions including mine collapses, gas emissions, and high temperatures. However, traditional helmets do not provide adequate protection; besides, they cannot analyze miners’ health as well as the environmental hazards. In order to solve this issue, this work presents a predictive safety helmet equipped with several sensors and means of communication. Specifically, the helmet comprises a micro-electro mechanical systems (MEMS) accelerometer for vibration monitoring, a gas sensor for detecting the presence of harmful gases, a heartbeat sensor for assessing workers’ well-being, and a temperature sensor for monitoring the environmental parameters. Additionally, the device is provided with a global positioning system (GPS) module for location determination and a global system for mobile (GSM) module for transmitting alert notifications in case of emergency situations. The collected data is analyzed on an internet of things (IoT)-based system; any signs of danger cause alerts to be sent immediately.
Co-Authors Irudhaya Ronisha Innasi John Benedict Pooja Senthamarai Kannan Vijayalakshmi Murugesan