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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM.FCE009
Volume:
10 |
6 |
Jun 2026
Pages:
1-3
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.
Department of Civil Engineering
FET, JAIN (Deemed-to-be University), Bengaluru-562112, Karnataka, India
Construction sites are considered one of the most hazardous working environments due to accidents caused by unsafe practices, equipment failures, and lack of real-time monitoring. Artificial Intelligence (AI) has emerged as an effective technology for improving safety management in the construction industry. AI-based construction safety systems use technologies such as machine learning, computer vision, Internet of Things (IoT), wearable sensors, and deep learning to identify risks, monitor workers, and prevent accidents. This review paper presents an overview of AI-based construction safety systems, their working principles, applications, advantages, limitations, and future developments. The study highlights how AI techniques are used for helmet detection, fall detection, hazard prediction, worker tracking, and equipment monitoring. The integration of AI with smart cameras and sensors enables real-time safety analysis and rapid decision-making. Although AI systems improve efficiency and reduce human error, challenges such as high implementation cost, data privacy, and technical complexity still exist. The review concludes that AI-based safety systems can significantly enhance worker protection and reduce accidents in modern construction projects.
KEYWORDS
AI-based construction safety systems play an important role in improving workplace safety and reducing accidents in the construction industry. Technologies such as machine learning, computer vision, IoT, and deep learning enable continuous monitoring and intelligent hazard detection. Although challenges related to cost, privacy, and technical implementation exist, AI systems provide significant benefits in ensuring worker safety and operational efficiency. The future of construction safety will largely depend on the integration of AI technologies with smart infrastructure and automation systems
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Publication Date
6/18/2026
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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