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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

Investigating advanced technologies to enhance worker safety in hazardous mining environments: A Review

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Alan Ato Arthur 1 and Joshua Asiektewen Annankra 2, * 

1 Montana Technology University, USA.

2 Department of Engineering, Kwame Nkrumah University of Science and Technology, Ghana.

Review Article

World Journal of Advanced Research and Reviews, 2025, 28(01), 422-428

Article DOI: 10.30574/wjarr.2025.28.1.3322

DOI url: https://doi.org/10.30574/wjarr.2025.28.1.3322

Received on 03 August 2025; revised on 01 October 2025; accepted on 03 October 2025

The mining industry represents a critical and high-risk engineering field characterized by complex occupational health and safety challenges. With the advancement of technology, various approaches can be explored to help reduce the risk encountered by workers in this area. The application of Artificial Intelligence (AI), Automation, Internet of Things (IoT), Advanced Sensors, and Virtual Reality is gradually reshaping safety in mining operations by offering a more efficient approach to identifying and mitigating risks. This paper reviews unique research and applications of Artificial Intelligence (AI), Automation, Internet of Things (IoT), Advanced Sensors, and Virtual Reality to address safety issues in the mining sector. The mining industry is undergoing a technological revolution driven by AI, IoT, advanced sensors, and VR, aimed at dramatically improving workplace safety and operational efficiency. These innovative technologies promise to transform traditional risk management by shifting from human-centric to intelligent, predictive system architectures.

Artificial Intelligence; Technology; virtual reality; mine rescue

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-3322.pdf

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Alan Ato Arthur and Joshua Asiektewen Annankra. Investigating advanced technologies to enhance worker safety in hazardous mining environments: A Review. World Journal of Advanced Research and Reviews, 2025, 28(01), 422-428. Article DOI: https://doi.org/10.30574/wjarr.2025.28.1.3322.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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