STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Industrial Safety Engineering Review Article

Enhancing Construction Safety Performance Through Artificial Intelligence: A Systematic Review

  1. Nadigatla Naveen Kumar Department of Civil Engineering, KL University, Green Fields, Vaddeswaram, Guntur
  2. Nadigatla Prasanth Kumar Department of Civil Engineering,Guntur, KL University, Green Fields, Vaddeswaram

Abstract

The construction industry is still one of the most dangerous sectors globally because of its dynamic working environment, the employment of heavy machinery, and the complexity of operational processes. Traditional safety management methods are largely dependent on manual monitoring and reactive measures, which are not always effective for accident prevention. In recent years, Artificial Intelligence (AI) has been recognized as a revolutionary technology in construction safety, with capabilities such as predictive risk analysis, real-time hazard detection, and automated safety management systems. This paper presents a review of the use of AI technologies in improving construction safety performance, with a focus on major AI-enabled tools such as computer vision, wearable technology, unmanned aerial vehicles (drones), robotics, and Building Information Modelling (BIM). It also discusses the challenges, opportunities, and future research avenues in the use of AIenabled safety systems in the construction industry. The results show that AI-enabled safety systems play a significant role in minimizing workplace accidents, improving regulatory compliance, and optimizing overall operational efficiency. The paper highlights the increasing need for AI integration in promoting proactive safety management systems and creating a safe working environment in the construction industry.

Keywords

References (20)

  1. Badhan SJ, Samsami R. Artificial Intelligence (AI) in Construction Safety: A Systematic Literature Review. Buildings. 2025;15(22):4084. doi:10.3390/buildings15224084
  2. Daniel EI, Oshodi OS, Nwankwo NI, Emuze FA, Chinyio E. The Use of Digital Technologies in Construction Safety: A Systematic Review. Buildings. 2025;15(8):1386. doi:10.3390/buildings15081386
  3. Abioye SO, Oyedele LO, Akanbi L, Ajayi A, Davila Delgado JM, Bilal M, et al. Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering. 2021;44:103299. doi:10.1016/j.jobe.2021.103299
  4. Ajayi A. Construction Industry: Current Trends, Potential Impacts, and Future a Comprehensive Review of Artificial Intelligence Applications in the Directions. International Journal of Architecture, Arts and Applications. 2025;11(2):48-57. doi:10.11648/j.ijaaa.20251102.11
  5. Gao Z, Sultan A. AI for Improving Construction Safety: A Systematic Literature Review. EPiC Series in Built Environment. 4:354-344. doi:10.29007/jtkn
  6. Department of Information and Communication Technology, Faculty of Technology, Rajarata University of Sri Lanka, Jayakody JAUS, Thilakarathne PRHNG, Department of Information and Communication Technology, Faculty of Technology, Rajarata University of Sri Lanka. Artificial intelligence driven systems for enhancing worker safety monitoring in construction environments: a comprehensive review. 13th World Construction Symposium - 2025. 2025:154-166. doi:10.31705/wcs.2025.12
  7. Faisal Mohammed A, Mohammed S, Raheman Mohammed A, Abdullah Kamran S. AI-AUGMENTED SAFETY MANAGEMENT IN CONSTRUCTION. International Journal of Computer Science and Information Technology. 2025;17(5):107-`124. doi:10.5121/ijcsit.2025.17507
  8. Aditya Pandit. Integrating Wearable AI Technology for Construction Worker Safety. International Journal on Science and Technology. 2025;16(1). doi:10.71097/ijsat.v16.i1.3154
  9. Siva Praneeth Reddy Gudibandi. Smart Construction Sites: AI for Safety and Risk Management. International Journal on Science and Technology. 2025;16(2). doi:10.71097/ijsat.v16.i2.3578
  10. Min Y, Huang Z. Intelligent Construction Safety Management Method and Application Based on Artificial Intelligence. Proceedings of the 2024 8th International Conference on Big Data and Internet of Things. 2024:344-348. doi:10.1145/3697355.3697411
  11. Department of Information Technology, Bankura Unnayani Institute of Engineering, Subhankar Nagar, Bankura 722146, West Bengal, India, Samadder M, Roy AK, Department of Computer Science & Engineering, Bankura Unnayani Institute of Engineering, Subhankar Nagar, Bankura- 722146, West Bengal, India, Ray A, Department of Civil Engineering, Bankura Unnayani Institute of Engineering, Subhankar Nagar, Bankura- 722146, West Bengal, India, et al. Investigating the Impact of Artificial Intelligence and Digital Technologies on Improving Safety in Construction Environments. International Journal of Engineering and Information Management. 2025;1(3):44-54. doi:10.52756/ijeim.2025.v01.i03.004
  12. Lee J, Lee S. Construction Site Safety Management: A Computer Vision and Deep Learning Approach. Sensors. 2023;23(2):944. doi:10.3390/s23020944
  13. Baduge SK, Thilakarathna S, Perera JS, Arashpour M, Sharafi P, Teodosio B, et al. Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications. Automation in Construction. 2022;141:104440. doi:10.1016/j.autcon.2022.104440
  14. Zhang Y. Safety Management of Civil Engineering Construction Based on Artificial Intelligence and Machine Vision Technology. Advances in Civil Engineering. 2021;2021(1). doi:10.1155/2021/3769634
  15. Rabbi ABK, Jeelani I. AI integration in construction safety: Current state, challenges, and future opportunities in text, vision, and audio based applications. Automation in Construction. 2024;164:105443. doi:10.1016/j.autcon.2024.105443
  16. Liang K, Zhao J, Zhang Z, Guan W, Pan M, Li M. Data-driven AI algorithms for construction machinery. Automation in Construction. 2024;167:105648. doi:10.1016/j.autcon.2024.105648
  17. Zheng Z, Wang F, Gong G, Yang H, Han D. Intelligent technologies for construction machinery using data-driven methods. Automation in Construction. 2023;147:104711. doi:10.1016/j.autcon.2022.104711
  18. Chen K, Zhou X, Bao Z, Skibniewski MJ, Fang W. Artificial intelligence in infrastructure construction: A critical review. Front Eng Manag. 2024;12:24-38. doi:10.1007/s42524-024- 3128-5.
  19. FăgărăŞian VI. Work Safety in Construction and the Impact of Artificial Intelligence (AI). Proceedings of the International Conference on Business Excellence. 2025;19(1):3511-3522. doi:10.2478/picbe-2025-0268
  20. B. Ravinder, M. Madhava Sagar, M. Saadheeyasa. A Civil Engineer’s Perspective on the Application of Artificial Intelligence in the Construction Industry. Journal of Informatics Education and Research. 2025;5(2). doi:10.52783/jier.v5i2.2775
Support