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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40526
Volume:
9 |
1 |
Jan 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 AI has rapidly evolved as a critical technology that enhances security, safety, and operational efficiency in industrial environments. This survey provides a comprehensive overview of key Industrial AI modules, including restricted area monitoring, safety equipment detection, pose detection, and fire detection. We explore how these modules integrate into existing industrial infrastructures, improving real-time safety monitoring and emergency response systems. Future research directions on these topics are also outlined- developments such as edge computing, AI-augmented human collaboration, and improvements in detection accuracy. This work aspires to show a comprehensive understanding of the Industrial AI application and its promise to change the very nature of operations involving safety and production in industries.
KEYWORDS
Publication Date
6/30/2025
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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