Shambharkar, Saroj and Chaudhari, Manisha and Uikey, Tannu and Sheikh, Sumaiya and Khadotkar, Janhvi and Dubey, Shreyash (2025) Seamless Communication for Mining Workers Using IoT-Enabled Smart Helmets. International Journal of Innovative Science and Research Technology, 10 (4): 25apr1279. pp. 3820-3826. ISSN 2456-2165

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Abstract

The integration of IoT-based smart helmets is transforming the mining industry by enabling uninterrupted communication and connectivity for on-site workers. These helmets come embedded with advanced sensors that continuously track health parameters and surrounding environmental data. Utilizing wireless communication networks and real-time data transfer, these helmets maintain a steady link between miners and central monitoring units. This ensures that any hazardous situation is detected early, allowing for instant alerts and quick action. Such innovations significantly enhance workplace safety and boost operational productivity. As the mining sector advances toward automation and smart technologies, these helmets are becoming essential tools in fostering safe, efficient, and digitally connected operations. The ability to communicate and make decisions instantly in emergencies drastically reduces the likelihood of serious incidents. Traditionally, incident detection relied heavily on manual checks or scheduled observations, often leading to delayed responses. These delays can aggravate injuries or even be fatal during emergency situations. Moreover, traditional communication tools often fail in the noisy, unstable conditions of mines. This can lead to miscommunications and sluggish responses. The IoT smart helmet overcomes these limitations by ensuring clear, real-time communication and continuous tracking of both the worker and the environment.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Editor IJISRT Publication
Date Deposited: 19 May 2025 11:14
Last Modified: 19 May 2025 11:14
URI: https://eprint.ijisrt.org/id/eprint/913

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