International Journal on Science and Technology

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Smart Construction Sites: AI for Safety and Risk Management

Author(s) Siva Praneeth Reddy Gudibandi
Country United States
Abstract This comprehensive article examines the transformation of construction site safety through artificial intelligence technologies. The construction industry has traditionally relied on reactive safety measures with significant limitations in coverage, monitoring consistency, and risk assessment accuracy. The article explores how AI-driven solutions, including computer vision systems, predictive analytics, wearable technology, and autonomous equipment, are addressing these shortcomings by enabling proactive safety management. Despite their proven benefits, the implementation of AI safety systems faces challenges related to data quality, integration with existing workflows, and privacy concerns. Through analysis of multiple case studies and research findings, the paper documents specific solutions to these challenges and presents compelling evidence of improved safety outcomes and economic returns from AI implementation. The findings demonstrate that properly implemented AI technologies can dramatically reduce safety incidents while providing substantial return on investment, indicating a fundamental paradigm shift in construction safety management from reactive to proactive approaches.
Keywords Construction safety, Artificial intelligence, Computer vision monitoring, Predictive analytics, Wearable technology
Field Physics > Civil Engineering
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-06-24
DOI https://doi.org/10.71097/IJSAT.v16.i2.3578
Short DOI https://doi.org/g9q9jm
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