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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM51673
Volume:
9 |
7 |
Jul 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Industrial safety management has traditionally relied on human vigilance, conventional sensors, and procedural controls. However, with the advent of Artificial Intelligence (AI), industries are now leveraging machine learning, computer vision, natural language processing, and data analytics to proactively identify hazards, reduce accidents, and enhance compliance. This paper investigates the integration of AI into industrial safety systems and examines real-world case studies that showcase how AI has improved operational safety across various sectors, including oil & gas, manufacturing, mining, and construction. We propose a framework for AI-augmented safety and offer insights into future developments.
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Publication Date
1/7/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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